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| [DesireCourse.Com].txt |
754B |
| [DesireCourse.Com].url |
51B |
| 1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx.xlsx |
146.51KB |
| 1.1 3.17. Practical example. Confidence intervals_lesson.xlsx.xlsx |
1.74MB |
| 1.1 365_DataScience.png.png |
7.23MB |
| 1.1 4.10.Hypothesis-testing-section-practical-example.xlsx.xlsx |
51.71KB |
| 1.1 Arithmetic Operators - Resources.html |
134B |
| 1.1 Audiobook sales.xlsx.xlsx |
1.87MB |
| 1.1 Comparison Operators - Resources.html |
134B |
| 1.1 Course notes_descriptive_statistics.pdf.pdf |
482.21KB |
| 1.1 Course notes_descriptive_statistics.pdf.pdf |
482.21KB |
| 1.1 Course notes_hypothesis_testing.pdf.pdf |
648.20KB |
| 1.1 Course notes_inferential statistics.pdf.pdf |
382.32KB |
| 1.1 Defining a Function in Python - Resources.html |
134B |
| 1.1 df_preprocessed.csv.csv |
29.11KB |
| 1.1 For Loops - Resources.html |
134B |
| 1.1 GDP Data.xls.xls |
155.50KB |
| 1.1 Introduction to the If Statement - Resources.html |
134B |
| 1.1 Lists - Resources.html |
134B |
| 1.1 MySQL_Workbench_Shortcuts.pdf.pdf |
515.23KB |
| 1.1 Python Variables - Resources.html |
134B |
| 1.1 The 5 files rar.html |
134B |
| 1.2 Audiobook reviews.xlsx.xlsx |
266.85KB |
| 1.2 data_preprocessing_homework.pdf.pdf |
134.47KB |
| 1.2 Statistics Glossary.xlsx.xlsx |
20.26KB |
| 1.3 Absenteeism_data.csv.csv |
32.05KB |
| 1. A 5-minute explanation of Programming.mp4 |
58.52MB |
| 1. A 5-minute explanation of Programming.vtt |
6.08KB |
| 1. Applying COUNT().mp4 |
27.38MB |
| 1. Applying COUNT().vtt |
4.36KB |
| 1. Coding Tips and Best Practices - I.mp4 |
37.82MB |
| 1. Coding Tips and Best Practices - I.vtt |
5.93KB |
| 1. Data Science Job Positions What do they Involve and What to Look out for.mp4 |
54.34MB |
| 1. Data Science Job Positions What do they Involve and What to Look out for.vtt |
3.94KB |
| 1. Defining Stored Routines.mp4 |
29.92MB |
| 1. Defining Stored Routines.vtt |
3.84KB |
| 1. Dispelling common Misconceptions.mp4 |
72.71MB |
| 1. Dispelling common Misconceptions.vtt |
4.69KB |
| 1. Duplicating a Sheet.mp4 |
25.32MB |
| 1. Duplicating a Sheet.vtt |
2.80KB |
| 1. EXERCISE - Age vs Probability.html |
385B |
| 1. Getting Started with Data, Servers, Clients, Requests, and Responses.mp4 |
69.08MB |
| 1. Getting Started with Data, Servers, Clients, Requests, and Responses.vtt |
5.20KB |
| 1. Getting to know the IF Statement.mp4 |
13.64MB |
| 1. Getting to know the IF Statement.vtt |
3.12KB |
| 1. How is the Content in the Next Sections Organized.html |
2.44KB |
| 1. How to Define a Function in Python.mp4 |
7.75MB |
| 1. How to Define a Function in Python.vtt |
2.20KB |
| 1. How to Use the 'absenteeism_module' in Python - Part I.mp4 |
25.44MB |
| 1. How to Use the 'absenteeism_module' in Python - Part I.vtt |
4.20KB |
| 1. Installing MySQL Workbench and Server.mp4 |
99.11MB |
| 1. Installing MySQL Workbench and Server.vtt |
11.03KB |
| 1. Introduction.mp4 |
15.50MB |
| 1. Introduction.vtt |
1.44KB |
| 1. Introduction to Lists.mp4 |
22.00MB |
| 1. Introduction to Lists.vtt |
4.30KB |
| 1. Introduction to Object Oriented Programming (OOP).mp4 |
33.59MB |
| 1. Introduction to Object Oriented Programming (OOP).vtt |
5.34KB |
| 1. Introduction to Software Integration.mp4 |
92.71MB |
| 1. Introduction to Software Integration.vtt |
6.25KB |
| 1. Introduction to the Exercise.mp4 |
32.58MB |
| 1. Introduction to the Exercise.vtt |
2.23KB |
| 1. Loading the 'employees' Database.mp4 |
18.99MB |
| 1. Loading the 'employees' Database.vtt |
2.40KB |
| 1. Population vs sample.mp4 |
58.08MB |
| 1. Population vs sample.vtt |
4.81KB |
| 1. Practical Example.mp4 |
160.46MB |
| 1. Practical Example.vtt |
18.00KB |
| 1. Practical Example Hypothesis Testing.mp4 |
69.37MB |
| 1. Practical Example Hypothesis Testing.vtt |
7.43KB |
| 1. Practical Example Inferential Statistics.mp4 |
102.63MB |
| 1. Practical Example Inferential Statistics.vtt |
11.90KB |
| 1. Problem 1 Task.mp4 |
33.81MB |
| 1. Problem 1 Task.vtt |
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| 1. Problem 2 Task.mp4 |
29.02MB |
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4.11KB |
| 1. Problem 3 Task.mp4 |
13.31MB |
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2.49KB |
| 1. Problem 4 Task.mp4 |
23.75MB |
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3.12KB |
| 1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard.mp4 |
56.21MB |
| 1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard.vtt |
5.83KB |
| 1. Programming Languages & Software Employed in Data Science - All the Tools Needed.mp4 |
103.39MB |
| 1. Programming Languages & Software Employed in Data Science - All the Tools Needed.vtt |
6.42KB |
| 1. Python's Comparison Operators.mp4 |
10.17MB |
| 1. Python's Comparison Operators.vtt |
2.14KB |
| 1. Python Variables.mp4 |
18.19MB |
| 1. Python Variables.vtt |
4.04KB |
| 1. Solving a Business Exercise with Python, SQL, and Tableau.mp4 |
52.31MB |
| 1. Solving a Business Exercise with Python, SQL, and Tableau.vtt |
4.80KB |
| 1. SQL Subqueries with IN Embedded Inside WHERE.mp4 |
37.44MB |
| 1. SQL Subqueries with IN Embedded Inside WHERE.vtt |
4.42KB |
| 1. The Arithmetic Operators of Python.mp4 |
18.92MB |
| 1. The Arithmetic Operators of Python.vtt |
3.58KB |
| 1. The Null vs Alternative Hypothesis.mp4 |
91.97MB |
| 1. The Null vs Alternative Hypothesis.vtt |
6.43KB |
| 1. The SQL CASE Statement.mp4 |
59.42MB |
| 1. The SQL CASE Statement.vtt |
6.00KB |
| 1. Traditional Data Techniques.mp4 |
138.40MB |
| 1. Traditional Data Techniques.vtt |
9.30KB |
| 1. Types of Data.mp4 |
72.48MB |
| 1. Types of Data.vtt |
5.25KB |
| 1. Using For Loops.mp4 |
11.79MB |
| 1. Using For Loops.vtt |
2.44KB |
| 1. Using SELECT - FROM.mp4 |
35.93MB |
| 1. Using SELECT - FROM.vtt |
5.06KB |
| 1. What are Confidence Intervals.mp4 |
49.95MB |
| 1. What are Confidence Intervals.vtt |
2.86KB |
| 1. What are JOINs.mp4 |
42.19MB |
| 1. What are JOINs.vtt |
4.51KB |
| 1. What Does the Course Cover.mp4 |
55.10MB |
| 1. What Does the Course Cover.vtt |
4.44KB |
| 1. Why Are There So Many Business and Data Science Buzzwords.mp4 |
81.39MB |
| 1. Why Are There So Many Business and Data Science Buzzwords.vtt |
5.84KB |
| 1. Why do we Need each of these Disciplines.mp4 |
87.45MB |
| 1. Why do we Need each of these Disciplines.vtt |
5.69KB |
| 1. Why use SQL.mp4 |
70.06MB |
| 1. Why use SQL.vtt |
4.05KB |
| 1. Why Use Tableau Make Your Data Make an Impact.mp4 |
39.21MB |
| 1. Why Use Tableau Make Your Data Make an Impact.vtt |
4.27KB |
| 10.1 2.4. Numerical variables. Frequency distribution table_exercise_solution.xlsx.xlsx |
13.15KB |
| 10.1 Audiobook sales.xlsx.xlsx |
1.87MB |
| 10.1 Indexing Elements - Resources.html |
134B |
| 10.1 Online p-value calculator.pdf.pdf |
1.22MB |
| 10.1 Subqueries SELECT FROM Solution.sql.sql |
1.85KB |
| 10.2 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx |
11.75KB |
| 10.2 Creating a dashboard - Tableau Public Link.html |
151B |
| 10.3 Audiobook reviews.xlsx.xlsx |
266.85KB |
| 10. A Deeper Look at the 'Reasons for Absence' Column.mp4 |
40.57MB |
| 10. A Deeper Look at the 'Reasons for Absence' Column.vtt |
5.12KB |
| 10. Applying AVG().mp4 |
13.52MB |
| 10. Applying AVG().vtt |
2.22KB |
| 10. Central Limit Theorem.html |
152B |
| 10. Comparing Databases and Spreadsheets.html |
152B |
| 10. Create Stored Procedures with an Output Parameter.mp4 |
32.50MB |
| 10. Create Stored Procedures with an Output Parameter.vtt |
3.56KB |
| 10. Creating and Formatting a Dashboard.mp4 |
31.83MB |
| 10. Creating and Formatting a Dashboard.vtt |
4.66KB |
| 10. How to Index Elements.mp4 |
5.94MB |
| 10. How to Index Elements.vtt |
1.47KB |
| 10. Margin of Error.mp4 |
59.15MB |
| 10. Margin of Error.vtt |
5.45KB |
| 10. Numerical Variables Exercise.html |
81B |
| 10. p-value.mp4 |
55.92MB |
| 10. p-value.vtt |
4.46KB |
| 10. Sending Data from Jupyter to Workbench - Part II.mp4 |
58.23MB |
| 10. Sending Data from Jupyter to Workbench - Part II.vtt |
6.66KB |
| 10. SQL Subqueries Nested in SELECT and FROM - Solution 2.html |
15B |
| 10. The Functionality of LEFT JOIN - Part I.mp4 |
50.81MB |
| 10. The Functionality of LEFT JOIN - Part I.vtt |
5.01KB |
| 10. Traditional Methods Techniques.mp4 |
111.84MB |
| 10. Traditional Methods Techniques.vtt |
9.66KB |
| 10. Understanding Jupyter's Interface.html |
152B |
| 10. Using OR.mp4 |
33.21MB |
| 10. Using OR.vtt |
3.43KB |
| 10. What is Software Integration and How is it Applied.html |
152B |
| 11.1 2.5. The Histogram_lesson.xlsx.xlsx |
18.63KB |
| 11.1 Adding a filter - Tableau Public Link.html |
155B |
| 11.1 Integration.html |
154B |
| 11.2 Audiobook sales.xlsx.xlsx |
1.87MB |
| 11.3 Audiobook reviews.xlsx.xlsx |
266.85KB |
| 11. Adding Interactive Filters for Improved Analysis.mp4 |
31.64MB |
| 11. Adding Interactive Filters for Improved Analysis.vtt |
4.26KB |
| 11. Applying AVG() - Exercise.html |
102B |
| 11. Create Stored Procedures with an Output Parameter - Exercise.html |
152B |
| 11. How to Index Elements.html |
152B |
| 11. Important Database Terminology.mp4 |
90.49MB |
| 11. Important Database Terminology.vtt |
5.31KB |
| 11. Margin of Error.html |
152B |
| 11. p-value.html |
152B |
| 11. Sending Data from Jupyter to Workbench - Part III.mp4 |
32.83MB |
| 11. Sending Data from Jupyter to Workbench - Part III.vtt |
2.87KB |
| 11. Splitting a Variable into Multiple Dummy Variables.mp4 |
81.13MB |
| 11. Splitting a Variable into Multiple Dummy Variables.vtt |
8.96KB |
| 11. Standard error.mp4 |
22.74MB |
| 11. Standard error.vtt |
1.76KB |
| 11. The Functionality of LEFT JOIN - Part II.mp4 |
54.87MB |
| 11. The Functionality of LEFT JOIN - Part II.vtt |
5.98KB |
| 11. The Histogram.mp4 |
13.79MB |
| 11. The Histogram.vtt |
2.67KB |
| 11. Traditional Methods Techniques.html |
152B |
| 11. Using OR - Exercise.html |
85B |
| 12.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx.xlsx |
10.47KB |
| 12.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx.xlsx |
14.54KB |
| 12.1 Structure Your Code with Indentation - Resources.html |
134B |
| 12. Applying AVG() - Solution.html |
237B |
| 12. Confidence intervals. Two means. Dependent samples.mp4 |
70.44MB |
| 12. Confidence intervals. Two means. Dependent samples.vtt |
7.10KB |
| 12. EXERCISE - Splitting a Variable into Multiple Dummy Variables.html |
129B |
| 12. How to Structure Your Code with Indentation.mp4 |
6.82MB |
| 12. How to Structure Your Code with Indentation.vtt |
1.96KB |
| 12. Important Database Terminology.html |
152B |
| 12. Standard error.html |
152B |
| 12. Stored Procedures with an Output Parameter - Solution.html |
931B |
| 12. Test for the Mean. Population Variance Unknown.mp4 |
40.31MB |
| 12. Test for the Mean. Population Variance Unknown.vtt |
5.18KB |
| 12. The Functionality of LEFT JOIN - Part II - Exercise.html |
441B |
| 12. The Histogram.html |
152B |
| 12. Traditional Methods Real-life Examples.mp4 |
42.85MB |
| 12. Traditional Methods Real-life Examples.vtt |
3.14KB |
| 12. Using OR - Solution.html |
248B |
| 13.1 2.5. The Histogram_exercise.xlsx.xlsx |
15.50KB |
| 13.1 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx.xlsx |
13.74KB |
| 13.1 4.6. Test-for-the-mean.Population-variance-unknown-exercise.xlsx.xlsx |
11.34KB |
| 13.2 2.5. The Histogram_exercise_solution.xlsx.xlsx |
16.83KB |
| 13.2 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx.xlsx |
14.24KB |
| 13.2 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx.xlsx |
12.70KB |
| 13. Confidence intervals. Two means. Dependent samples Exercise.html |
82B |
| 13. Estimators and Estimates.mp4 |
47.85MB |
| 13. Estimators and Estimates.vtt |
3.27KB |
| 13. Histogram Exercise.html |
81B |
| 13. How to Structure Your Code with Indentation.html |
152B |
| 13. Machine Learning (ML) Techniques.mp4 |
99.27MB |
| 13. Machine Learning (ML) Techniques.vtt |
7.67KB |
| 13. Operator Precedence and Logical Order.mp4 |
32.07MB |
| 13. Operator Precedence and Logical Order.vtt |
3.81KB |
| 13. Rounding Numbers with ROUND().mp4 |
16.81MB |
| 13. Rounding Numbers with ROUND().vtt |
2.28KB |
| 13. SOLUTION - Splitting a Variable into Multiple Dummy Variables.html |
116B |
| 13. SQL Variables.mp4 |
54.56MB |
| 13. SQL Variables.vtt |
6.46KB |
| 13. Test for the Mean. Population Variance Unknown Exercise.html |
82B |
| 13. The Concept of Relational Schemas Primary Key.mp4 |
42.92MB |
| 13. The Concept of Relational Schemas Primary Key.vtt |
6.11KB |
| 13. The Functionality of LEFT JOIN - Part II - Solution.html |
599B |
| 14.1 2.6. Cross table and scatter plot.xlsx.xlsx |
26.12KB |
| 14.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx.xlsx |
9.83KB |
| 14.1 4.7. Test for the mean. Dependent samples_lesson.xlsx.xlsx |
9.79KB |
| 14. Confidence intervals. Two means. Independent samples (Part 1).mp4 |
28.76MB |
| 14. Confidence intervals. Two means. Independent samples (Part 1).vtt |
5.33KB |
| 14. Cross Table and Scatter Plot.mp4 |
39.79MB |
| 14. Cross Table and Scatter Plot.vtt |
5.87KB |
| 14. Estimators and Estimates.html |
152B |
| 14. How to Drop a Dummy Variable from the Data Set.html |
2.34KB |
| 14. Machine Learning (ML) Techniques.html |
152B |
| 14. Operator Precedence and Logical Order - Exercise.html |
92B |
| 14. Rounding Numbers with ROUND() - Exercise.html |
145B |
| 14. SQL Variables - Exercise.html |
299B |
| 14. Test for the Mean. Dependent Samples.mp4 |
50.44MB |
| 14. Test for the Mean. Dependent Samples.vtt |
5.86KB |
| 14. The Concept of Relational Schemas Primary Key.html |
152B |
| 14. The Functionality of RIGHT JOIN.mp4 |
32.22MB |
| 14. The Functionality of RIGHT JOIN.vtt |
4.46KB |
| 15.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx.xlsx |
10.12KB |
| 15.1 4.7. Test for the mean. Dependent samples_exercise.xlsx.xlsx |
12.80KB |
| 15.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx.xlsx |
9.83KB |
| 15.2 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx.xlsx |
14.40KB |
| 15. A Statistical Perspective on Dummy Variables.mp4 |
13.76MB |
| 15. A Statistical Perspective on Dummy Variables.vtt |
1.50KB |
| 15. Confidence intervals. Two means. Independent samples (Part 1) Exercise.html |
82B |
| 15. Cross Tables and Scatter Plots.html |
152B |
| 15. Differences between the New and the Old Join Syntax.mp4 |
32.00MB |
| 15. Differences between the New and the Old Join Syntax.vtt |
4.67KB |
| 15. Machine Learning (ML) Types of Machine Learning.mp4 |
125.05MB |
| 15. Machine Learning (ML) Types of Machine Learning.vtt |
9.23KB |
| 15. Operator Precedence and Logical Order - Solution.html |
265B |
| 15. Rounding Numbers with ROUND() - Solution.html |
247B |
| 15. SQL Variables - Solution.html |
156B |
| 15. Test for the Mean. Dependent Samples Exercise.html |
82B |
| 15. The Concept of Relational Schemas Foreign Key.mp4 |
43.97MB |
| 15. The Concept of Relational Schemas Foreign Key.vtt |
5.92KB |
| 16.1 2.6. Cross table and scatter plot_exercise.xlsx.xlsx |
16.28KB |
| 16.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx.xlsx |
9.52KB |
| 16.1 4.8. Test for the mean. Independent samples (Part 1)_lesson.xlsx.xlsx |
9.63KB |
| 16.2 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx |
40.44KB |
| 16. Categorizing the Various Reasons for Absence.mp4 |
74.55MB |
| 16. Categorizing the Various Reasons for Absence.vtt |
8.79KB |
| 16. Confidence intervals. Two means. Independent samples (Part 2).mp4 |
26.83MB |
| 16. Confidence intervals. Two means. Independent samples (Part 2).vtt |
3.98KB |
| 16. Cross Tables and Scatter Plots Exercise.html |
81B |
| 16. Differences between the New and the Old Join Syntax - Exercise.html |
192B |
| 16. Machine Learning (ML) Types of Machine Learning.html |
152B |
| 16. Test for the mean. Independent samples (Part 1).mp4 |
29.96MB |
| 16. Test for the mean. Independent samples (Part 1).vtt |
4.80KB |
| 16. The Benefit of User-Defined Functions in MySQL.mp4 |
44.90MB |
| 16. The Benefit of User-Defined Functions in MySQL.vtt |
4.99KB |
| 16. The Concept of Relational Schemas Foreign Key.html |
152B |
| 16. Using IN - NOT IN.mp4 |
32.13MB |
| 16. Using IN - NOT IN.vtt |
3.26KB |
| 17.1 2.7. Mean, median and mode_lesson.xlsx.xlsx |
10.49KB |
| 17.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx.xlsx |
9.17KB |
| 17.1 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx.xlsx |
11.20KB |
| 17.2 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise_solution.xlsx.xlsx |
9.79KB |
| 17.2 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx.xlsx |
10.77KB |
| 17. Concatenation in Python.mp4 |
38.75MB |
| 17. Concatenation in Python.vtt |
4.42KB |
| 17. Confidence intervals. Two means. Independent samples (Part 2) Exercise.html |
82B |
| 17. Differences between the New and the Old Join Syntax - Solution.html |
942B |
| 17. Machine Learning (ML) Real-life Examples.mp4 |
36.86MB |
| 17. Machine Learning (ML) Real-life Examples.vtt |
2.57KB |
| 17. Mean, median and mode.mp4 |
37.10MB |
| 17. Mean, median and mode.vtt |
5.00KB |
| 17. Test for the mean. Independent samples (Part 1). Exercise.html |
82B |
| 17. The Benefit of User-Defined Functions in MySQL - Exercise.html |
432B |
| 17. The Concept of Relational Schemas Unique Key and Null Values.mp4 |
24.52MB |
| 17. The Concept of Relational Schemas Unique Key and Null Values.vtt |
3.83KB |
| 17. Using IN - NOT IN - Exercise 1.html |
140B |
| 18.1 2.7. Mean, median and mode_exercise_solution.xlsx.xlsx |
11.35KB |
| 18.1 4.9. Test for the mean. Independent samples (Part 2)_lesson.xlsx.xlsx |
9.31KB |
| 18.2 2.7. Mean, median and mode_exercise.xlsx.xlsx |
10.87KB |
| 18. Confidence intervals. Two means. Independent samples (Part 3).mp4 |
19.91MB |
| 18. Confidence intervals. Two means. Independent samples (Part 3).vtt |
1.72KB |
| 18. EXERCISE - Concatenation in Python.html |
189B |
| 18. Machine Learning (ML) Real-life Examples.html |
152B |
| 18. Mean, Median and Mode Exercise.html |
81B |
| 18. Test for the mean. Independent samples (Part 2).mp4 |
36.37MB |
| 18. Test for the mean. Independent samples (Part 2).vtt |
4.72KB |
| 18. The Benefit of User-Defined Functions in MySQL - Solution.html |
1.57KB |
| 18. The Concept of Relational Schemas Unique Key.html |
152B |
| 18. Using IN - NOT IN - Solution 1.html |
234B |
| 18. Using JOIN and WHERE Together.mp4 |
25.18MB |
| 18. Using JOIN and WHERE Together.vtt |
3.04KB |
| 19.1 2.8. Skewness_lesson.xlsx.xlsx |
34.63KB |
| 19. Concluding Stored Routines.mp4 |
27.13MB |
| 19. Concluding Stored Routines.vtt |
4.14KB |
| 19. Skewness.mp4 |
19.43MB |
| 19. Skewness.vtt |
3.20KB |
| 19. SOLUTION - Concatenation in Python.html |
142B |
| 19. Test for the mean. Independent samples (Part 2).html |
152B |
| 19. The Concept of Relational Schemas Relationships Between Tables.mp4 |
41.67MB |
| 19. The Concept of Relational Schemas Relationships Between Tables.vtt |
5.49KB |
| 19. Using IN - NOT IN - Exercise 2.html |
118B |
| 19. Using JOIN and WHERE Together - Exercise.html |
165B |
| 2.1 2.13.Practical-example.Descriptive-statistics-exercise.xlsx.xlsx |
120.28KB |
| 2.1 3.17. Practical example. Confidence intervals_exercise.xlsx.xlsx |
1.73MB |
| 2.1 3.2. What is a distribution_lesson.xlsx.xlsx |
19.46KB |
| 2.1 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx.xlsx |
44.04KB |
| 2.1 Creating a Function with a Parameter - Resources.html |
134B |
| 2.1 Creating a table - Tableau Public Link.html |
151B |
| 2.1 The 'employees' Database.html |
134B |
| 2.2 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx.xlsx |
146.22KB |
| 2.2 3.17. Practical example. Confidence intervals_exercise_solution.xlsx.xlsx |
1.74MB |
| 2.2 4.10.Hypothesis-testing-section-practical-example-exercise.xlsx.xlsx |
43.38KB |
| 2.2 Course notes_inferential statistics.pdf.pdf |
382.32KB |
| 2.2 Tesla sales data.xlsx.xlsx |
2.75MB |
| 2. A 5-minute explanation of Programming.html |
152B |
| 2. Analysis vs Analytics.mp4 |
53.49MB |
| 2. Analysis vs Analytics.vtt |
4.42KB |
| 2. Applying COUNT() - Exercise.html |
123B |
| 2. Coding Tips and Best Practices - I.html |
152B |
| 2. Combining SQL and Tableau.mp4 |
83.90MB |
| 2. Combining SQL and Tableau.vtt |
5.50KB |
| 2. Creating a Table.mp4 |
26.19MB |
| 2. Creating a Table.vtt |
4.93KB |
| 2. Data Science Job Positions What do they Involve and What to Look out for.html |
152B |
| 2. Defining Stored Routines.html |
152B |
| 2. Dispelling common Misconceptions.html |
152B |
| 2. For Loops.html |
152B |
| 2. Further Reading on Null and Alternative Hypothesis.html |
2.18KB |
| 2. Getting Started with Data, Servers, Clients, Requests, and Responses.html |
152B |
| 2. Getting to know the IF Statement.html |
152B |
| 2. How to Create a Function with a Parameter.mp4 |
23.86MB |
| 2. How to Create a Function with a Parameter.vtt |
3.78KB |
| 2. How to Import the Data Set in Python.mp4 |
23.08MB |
| 2. How to Import the Data Set in Python.vtt |
3.48KB |
| 2. How to Use the 'absenteeism_module' in Python - Part II.mp4 |
54.33MB |
| 2. How to Use the 'absenteeism_module' in Python - Part II.vtt |
6.63KB |
| 2. Installing Visual C.html |
818B |
| 2. Introduction to Lists.html |
152B |
| 2. Introduction to Object Oriented Programming (OOP).html |
152B |
| 2. Let's Create a Dashboard - Visualizing the Three Charts We Want to Create.mp4 |
23.45MB |
| 2. Let's Create a Dashboard - Visualizing the Three Charts We Want to Create.vtt |
2.04KB |
| 2. Let's Download Tableau Public.mp4 |
28.39MB |
| 2. Let's Download Tableau Public.vtt |
1.95KB |
| 2. Loading the 'employees' Database.html |
930B |
| 2. Population and Sample.html |
152B |
| 2. Practical Example Exercise.html |
81B |
| 2. Practical Example Hypothesis Testing Exercise.html |
82B |
| 2. Practical Example Inferential Statistics Exercise.html |
82B |
| 2. Presenting the Task Absenteeism at Work.mp4 |
39.07MB |
| 2. Presenting the Task Absenteeism at Work.vtt |
3.30KB |
| 2. Problem 1 Task - Text.html |
149B |
| 2. Problem 2 Task - Text.html |
162B |
| 2. Problem 3 Task - Text.html |
167B |
| 2. Problem 4 Task - Text.html |
325B |
| 2. Programming Languages & Software Employed in Data Science - All the Tools Needed.html |
152B |
| 2. Python's Comparison Operators.html |
152B |
| 2. Python Variables.html |
152B |
| 2. SQL Subqueries with IN Embedded Inside WHERE - Exercise.html |
138B |
| 2. The SQL CASE Statement - Exercise 1.html |
362B |
| 2. Traditional Data Techniques.html |
152B |
| 2. Types of data.html |
152B |
| 2. Using Arithmetic Operators in Python.html |
152B |
| 2. Using SELECT - FROM - Exercise.html |
149B |
| 2. Using Tableau to Analyze Age vs Probability.mp4 |
56.49MB |
| 2. Using Tableau to Analyze Age vs Probability.vtt |
8.75KB |
| 2. What are Confidence Intervals.html |
152B |
| 2. What are JOINs - Exercise 1.html |
1.26KB |
| 2. What is a Distribution.mp4 |
61.66MB |
| 2. What is a Distribution.vtt |
5.07KB |
| 2. Why do we Need each of these Disciplines.html |
152B |
| 2. Why use SQL.html |
152B |
| 20.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx.xlsx |
11.38KB |
| 20.2 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx.xlsx |
10.54KB |
| 20. Concluding Stored Routines.html |
152B |
| 20. How to Reorder Columns in a DataFrame in Python.mp4 |
14.04MB |
| 20. How to Reorder Columns in a DataFrame in Python.vtt |
1.61KB |
| 20. Skewness.html |
152B |
| 20. Test for the mean. Independent samples (Part 2).html |
82B |
| 20. The Concept of Relational Schemas Relationships Between Tables.html |
152B |
| 20. Using IN - NOT IN - Solution 2.html |
245B |
| 20. Using JOIN and WHERE Together - Solution.html |
525B |
| 21.1 2.8. Skewness_exercise_solution.xlsx.xlsx |
19.78KB |
| 21.2 2.8. Skewness_exercise.xlsx.xlsx |
9.49KB |
| 21. EXERCISE - How to Reorder Columns in a DataFrame in Python.html |
167B |
| 21. Skewness Exercise.html |
81B |
| 21. The Functionality of CROSS JOIN.mp4 |
89.86MB |
| 21. The Functionality of CROSS JOIN.vtt |
8.65KB |
| 21. Using LIKE - NOT LIKE.mp4 |
36.09MB |
| 21. Using LIKE - NOT LIKE.vtt |
3.80KB |
| 22.1 2.9. Variance_lesson.xlsx.xlsx |
10.08KB |
| 22. SOLUTION - How to Reorder Columns in a DataFrame in Python.html |
462B |
| 22. The Functionality of CROSS JOIN - Exercise 1.html |
150B |
| 22. Using LIKE - NOT LIKE - Exercise.html |
427B |
| 22. Variance.mp4 |
50.95MB |
| 22. Variance.vtt |
6.64KB |
| 23.1 2.9. Variance_exercise.xlsx.xlsx |
10.83KB |
| 23.1 Using Checkpoints.html |
176B |
| 23.2 2.9. Variance_exercise_solution.xlsx.xlsx |
11.05KB |
| 23. The Functionality of CROSS JOIN - Solution 1.html |
407B |
| 23. Using Checkpoints to Ease Your Work in Jupyter.mp4 |
25.71MB |
| 23. Using Checkpoints to Ease Your Work in Jupyter.vtt |
3.21KB |
| 23. Using LIKE - NOT LIKE - Solution.html |
733B |
| 23. Variance Exercise.html |
81B |
| 24.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx.xlsx |
10.97KB |
| 24. EXERCISE - Using Checkpoints to Ease Your Work in Jupyter.html |
137B |
| 24. Standard Deviation and Coefficient of Variation.mp4 |
45.16MB |
| 24. Standard Deviation and Coefficient of Variation.vtt |
5.75KB |
| 24. The Functionality of CROSS JOIN - Exercise 2.html |
162B |
| 24. Using Wildcard Characters.mp4 |
9.88MB |
| 24. Using Wildcard Characters.vtt |
2.14KB |
| 25. SOLUTION - Using Checkpoints to Ease Your Work in Jupyter.html |
117B |
| 25. Standard deviation.html |
152B |
| 25. The Functionality of CROSS JOIN - Solution 2.html |
413B |
| 25. Using Wildcard characters - Exercise.html |
219B |
| 26.1 2.10. Standard deviation and coefficient of variation_exercise_solution.xlsx.xlsx |
12.37KB |
| 26.2 2.10. Standard deviation and coefficient of variation_exercise.xlsx.xlsx |
11.30KB |
| 26. Analyzing the Date Column.mp4 |
57.27MB |
| 26. Analyzing the Date Column.vtt |
7.44KB |
| 26. Combining Aggregate Functions with Joins.mp4 |
22.14MB |
| 26. Combining Aggregate Functions with Joins.vtt |
2.47KB |
| 26. Standard Deviation and Coefficient of Variation Exercise.html |
81B |
| 26. Using Wildcard characters - Solution.html |
462B |
| 27.1 2.11. Covariance_lesson.xlsx.xlsx |
24.92KB |
| 27. Covariance.mp4 |
27.51MB |
| 27. Covariance.vtt |
4.30KB |
| 27. JOIN More than Two Tables.mp4 |
41.43MB |
| 27. JOIN More than Two Tables.vtt |
4.21KB |
| 27. Retrieving the Month Value From the Date Column.mp4 |
47.79MB |
| 27. Retrieving the Month Value From the Date Column.vtt |
6.95KB |
| 27. Using BETWEEN - AND.mp4 |
16.47MB |
| 27. Using BETWEEN - AND.vtt |
2.13KB |
| 28. Adding the Day of the Week Column.mp4 |
27.98MB |
| 28. Adding the Day of the Week Column.vtt |
3.91KB |
| 28. Covariance.html |
152B |
| 28. JOIN More than Two Tables - Exercise.html |
105B |
| 28. Using BETWEEN - AND - Exercise.html |
335B |
| 29.1 2.11. Covariance_exercise_solution.xlsx.xlsx |
29.51KB |
| 29.1 Dropping Columns.html |
188B |
| 29.2 2.11. Covariance_exercise.xlsx.xlsx |
20.23KB |
| 29.2 Preprocessing.html |
181B |
| 29. Covariance Exercise.html |
81B |
| 29. EXERCISE - Dropping Columns.html |
1.21KB |
| 29. JOIN More than Two Tables - Solution.html |
1.72KB |
| 29. Using BETWEEN - AND - Solution.html |
1013B |
| 3.1 3.9. Population variance known, z-score_lesson.xlsx.xlsx |
11.21KB |
| 3.1 365_DataScience_Diagram.pdf.pdf |
323.08KB |
| 3.1 Add an Else Statement - Resources.html |
134B |
| 3.1 Another Way to Define a Function - Resources.html |
134B |
| 3.1 Audiobook sales.xlsx.xlsx |
1.87MB |
| 3.1 GDP Data.xls.xls |
155.50KB |
| 3.1 Help Yourself with Methods - Resources.html |
134B |
| 3.1 Logical and Identity Operators - Resources.html |
134B |
| 3.1 Tesla sales data.xlsx.xlsx |
2.76MB |
| 3.1 The Client-Server Model.pdf.pdf |
556.90KB |
| 3.1 The Double Equality Sign - Resources.html |
134B |
| 3.1 Understanding Numbers and Boolean Values - Resources.html |
134B |
| 3.1 While Loops and Incrementing - Resources.html |
134B |
| 3.2 3.9. The z-table.xlsx.xlsx |
18.48KB |
| 3.2 Audiobook reviews.xlsx.xlsx |
266.85KB |
| 3. Adding an ELSE statement.mp4 |
13.58MB |
| 3. Adding an ELSE statement.vtt |
2.45KB |
| 3. Applying COUNT() - Solution.html |
158B |
| 3. Coding Tips and Best Practices - II.mp4 |
29.68MB |
| 3. Coding Tips and Best Practices - II.vtt |
4.33KB |
| 3. Confidence Intervals; Population Variance Known; z-score.mp4 |
78.19MB |
| 3. Confidence Intervals; Population Variance Known; z-score.vtt |
8.65KB |
| 3. Connecting Data in Tableau.mp4 |
14.28MB |
| 3. Connecting Data in Tableau.vtt |
2.24KB |
| 3. Create Stored Procedures with MySQL Syntax.mp4 |
34.24MB |
| 3. Create Stored Procedures with MySQL Syntax.vtt |
4.99KB |
| 3. Creating Custom Fields.mp4 |
17.21MB |
| 3. Creating Custom Fields.vtt |
2.53KB |
| 3. Creating the 'predicted_outputs' Database in MySQL.mp4 |
58.91MB |
| 3. Creating the 'predicted_outputs' Database in MySQL.vtt |
6.94KB |
| 3. Define a Function in Another Way.mp4 |
14.78MB |
| 3. Define a Function in Another Way.vtt |
2.70KB |
| 3. EXERCISE - Reasons vs Probability.html |
401B |
| 3. Exploring the Data Set.mp4 |
61.84MB |
| 3. Exploring the Data Set.vtt |
6.16KB |
| 3. Getting Started with Data Connectivity, APIs, and Endpoints.mp4 |
104.15MB |
| 3. Getting Started with Data Connectivity, APIs, and Endpoints.vtt |
7.56KB |
| 3. Intro to Business Analytics, Data Analytics, and Data Science.mp4 |
64.47MB |
| 3. Intro to Business Analytics, Data Analytics, and Data Science.vtt |
9.26KB |
| 3. Levels of Measurement.mp4 |
54.36MB |
| 3. Levels of Measurement.vtt |
4.03KB |
| 3. Loading the Database.mp4 |
28.87MB |
| 3. Loading the Database.vtt |
3.52KB |
| 3. Presenting the Data Set.mp4 |
40.87MB |
| 3. Presenting the Data Set.vtt |
3.66KB |
| 3. Problem 1 Solution in SQL.mp4 |
43.18MB |
| 3. Problem 1 Solution in SQL.vtt |
4.90KB |
| 3. Problem 2 Solution in SQL.mp4 |
39.64MB |
| 3. Problem 2 Solution in SQL.vtt |
3.75KB |
| 3. Problem 3 Solution in SQL.mp4 |
33.26MB |
| 3. Problem 3 Solution in SQL.vtt |
3.39KB |
| 3. Problem 4 Solution in SQL.mp4 |
30.33MB |
| 3. Problem 4 Solution in SQL.vtt |
2.75KB |
| 3. Python's Logical and Identity Operators.mp4 |
30.07MB |
| 3. Python's Logical and Identity Operators.vtt |
4.99KB |
| 3. SQL Subqueries with IN Embedded Inside WHERE - Solution.html |
522B |
| 3. The Client-Server Model.html |
30B |
| 3. The Null vs Alternative Hypothesis.html |
152B |
| 3. THE SQL CASE Statement - Solution 1.html |
720B |
| 3. Traditional Data Real-life Examples.mp4 |
29.96MB |
| 3. Traditional Data Real-life Examples.vtt |
1.97KB |
| 3. Understanding Numbers and Boolean Values.mp4 |
17.06MB |
| 3. Understanding Numbers and Boolean Values.vtt |
3.17KB |
| 3. Using Joins in Tableau.mp4 |
42.18MB |
| 3. Using Joins in Tableau.vtt |
5.64KB |
| 3. Using Methods in Python.mp4 |
21.94MB |
| 3. Using Methods in Python.vtt |
3.47KB |
| 3. Using Modules and Packages.mp4 |
8.51MB |
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1.13KB |
| 3. Using SELECT - FROM - Solution.html |
314B |
| 3. Using While Loops and Incrementing.mp4 |
15.45MB |
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2.42KB |
| 3. What are JOINs - Exercise 2.html |
1.36KB |
| 3. What is a Distribution.html |
152B |
| 3. What is the Double Equality Sign.mp4 |
6.00MB |
| 3. What is the Double Equality Sign.vtt |
1.59KB |
| 3. Why use MySQL.mp4 |
29.30MB |
| 3. Why use MySQL.vtt |
2.44KB |
| 3. Why use Python.mp4 |
75.08MB |
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6.11KB |
| 30.1 2.12. Correlation_lesson.xlsx.xlsx |
24.99KB |
| 30. Analysis of the Next 5 Columns in DF.mp4 |
29.55MB |
| 30. Analysis of the Next 5 Columns in DF.vtt |
3.82KB |
| 30. Correlation Coefficient.mp4 |
29.37MB |
| 30. Correlation Coefficient.vtt |
4.15KB |
| 30. Top Tips for Joins.mp4 |
50.91MB |
| 30. Top Tips for Joins.vtt |
5.93KB |
| 30. Using IS NOT NULL - IS NULL.mp4 |
13.95MB |
| 30. Using IS NOT NULL - IS NULL.vtt |
1.72KB |
| 31. Correlation Coefficient.html |
152B |
| 31. Dealing with More Numerical Features which may Behave like Categorical Ones.mp4 |
39.60MB |
| 31. Dealing with More Numerical Features which may Behave like Categorical Ones.vtt |
4.98KB |
| 31. Top Tips for Joins - Exercise.html |
93B |
| 31. Using IS NOT NULL - IS NULL - Exercise.html |
85B |
| 32.1 2.12. Correlation_exercise_solution.xlsx.xlsx |
29.48KB |
| 32.1 Preprocessing.html |
156B |
| 32.2 2.12. Correlation_exercise.xlsx.xlsx |
29.30KB |
| 32.2 Exercises and solutions.html |
170B |
| 32. A Final Note on this Section.mp4 |
21.62MB |
| 32. A Final Note on this Section.vtt |
2.20KB |
| 32. Correlation Coefficient Exercise.html |
81B |
| 32. Top Tips for Joins - Solution.html |
322B |
| 32. Using IS NOT NULL - IS NULL - Solution.html |
230B |
| 33. The Differences Between UNION and UNION ALL.mp4 |
47.69MB |
| 33. The Differences Between UNION and UNION ALL.vtt |
5.57KB |
| 33. Using Other Comparison Operators.mp4 |
41.22MB |
| 33. Using Other Comparison Operators.vtt |
4.46KB |
| 34. The Differences Between UNION and UNION ALL - Exercise.html |
167B |
| 34. Using Other Comparison Operators - Exercise.html |
269B |
| 35. The Differences Between UNION and UNION ALL - Solution.html |
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| 35. Using Other Comparison Operators - Solution.html |
507B |
| 36. Using SELECT DISTINCT.mp4 |
15.63MB |
| 36. Using SELECT DISTINCT.vtt |
2.25KB |
| 37. Using SELECT DISTINCT - Exercise.html |
355B |
| 38. Using SELECT DISTINCT - Solution.html |
154B |
| 39. Getting to Know Aggregate Functions.mp4 |
43.62MB |
| 39. Getting to Know Aggregate Functions.vtt |
5.76KB |
| 4.1 3.9. Population variance known, z-score_exercise.xlsx.xlsx |
10.83KB |
| 4.1 Check the data - Tableau Public Link.html |
150B |
| 4.1 Course notes_hypothesis_testing.pdf.pdf |
648.20KB |
| 4.1 Create Lists with the range() Function - Resources.html |
134B |
| 4.1 Else if, for Brief - Elif - Resources.html |
134B |
| 4.1 GDP Data.xls.xls |
155.50KB |
| 4.1 Tesla sales data.xlsx.xlsx |
2.75MB |
| 4.1 The 'employees_mod' Database.html |
125B |
| 4.1 Using a Function in Another Function - Resources.html |
134B |
| 4.2 3.9. The z-table.xlsx.xlsx |
18.48KB |
| 4.2 Audiobook reviews.xlsx.xlsx |
266.85KB |
| 4.2 Creating a custom field - Tableau Public Link.html |
157B |
| 4.2 employees_mod_db.pdf.pdf |
129.65KB |
| 4.3 3.9. Population variance known, z-score_exercise_solution.xlsx.xlsx |
11.16KB |
| 4.3 Audiobook sales.xlsx.xlsx |
1.87MB |
| 4. An Example of Stored Procedures Part I.mp4 |
23.95MB |
| 4. An Example of Stored Procedures Part I.vtt |
2.87KB |
| 4. Applying SUM().mp4 |
10.51MB |
| 4. Applying SUM().vtt |
1.61KB |
| 4. Big Data Techniques.mp4 |
75.46MB |
| 4. Big Data Techniques.vtt |
4.96KB |
| 4. Coding Tips and Best Practices - II.html |
152B |
| 4. Confidence Intervals; Population Variance Known; z-score Exercise.html |
81B |
| 4. Creating a Custom Field and Adding Calculations to a Table.mp4 |
29.71MB |
| 4. Creating a Custom Field and Adding Calculations to a Table.vtt |
3.93KB |
| 4. Else if, for Brief – ELIF.mp4 |
33.14MB |
| 4. Else if, for Brief – ELIF.vtt |
5.75KB |
| 4. Exploring Tableau's Interface.mp4 |
52.13MB |
| 4. Exploring Tableau's Interface.vtt |
9.42KB |
| 4. Getting Started with Data Connectivity, APIs, and Endpoints.html |
152B |
| 4. How to use a Function within a Function.mp4 |
8.14MB |
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1.78KB |
| 4. Importing 'pymysql' in Python.mp4 |
19.04MB |
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2.98KB |
| 4. Intro to Business Analytics, Data Analytics, and Data Science.html |
152B |
| 4. Levels of measurement.html |
152B |
| 4. Linking GUI with the MySQL Server.mp4 |
19.23MB |
| 4. Linking GUI with the MySQL Server.vtt |
2.93KB |
| 4. Loading the Database.html |
621B |
| 4. Performing a Numbers Check - Attempt #1.mp4 |
25.04MB |
| 4. Performing a Numbers Check - Attempt #1.vtt |
4.02KB |
| 4. Presenting the Data Set.html |
152B |
| 4. Problem 1 Solution in SQL - Code.html |
370B |
| 4. Problem 2 Solution in SQL - Code.html |
740B |
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502B |
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697B |
| 4. Programming vs the Rest of the World.mp4 |
27.83MB |
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3.60KB |
| 4. Python's Logical and Identity Operators.html |
152B |
| 4. Rejection Region and Significance Level.mp4 |
112.34MB |
| 4. Rejection Region and Significance Level.vtt |
7.83KB |
| 4. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE.mp4 |
29.77MB |
| 4. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE.vtt |
3.65KB |
| 4. The Functionality of INNER JOIN - Part I.mp4 |
42.28MB |
| 4. The Functionality of INNER JOIN - Part I.vtt |
5.95KB |
| 4. The Normal Distribution.mp4 |
49.91MB |
| 4. The Normal Distribution.vtt |
4.32KB |
| 4. THE SQL CASE Statement - Exercise 2.html |
376B |
| 4. Understanding Numbers and Boolean Values.html |
152B |
| 4. Use the range() Function to Create Lists.mp4 |
11.42MB |
| 4. Use the range() Function to Create Lists.vtt |
2.45KB |
| 4. Using Methods in Python.html |
152B |
| 4. Using Modules and Packages.html |
152B |
| 4. Using Tableau to Analyze Reasons vs Probability.mp4 |
59.29MB |
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8.37KB |
| 4. Using WHERE.mp4 |
21.97MB |
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2.64KB |
| 4. What is the Double Equality Sign.html |
152B |
| 4. Why use MySQL.html |
152B |
| 4. Why Use Python.html |
152B |
| 40. Getting to Know Aggregate Functions - Exercise.html |
262B |
| 41. Getting to Know Aggregate Functions - Solution.html |
375B |
| 42. Using ORDER BY.mp4 |
41.29MB |
| 42. Using ORDER BY.vtt |
3.57KB |
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106B |
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186B |
| 45. Using GROUP BY.mp4 |
53.55MB |
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6.03KB |
| 46. Using Aliases (AS).mp4 |
21.28MB |
| 46. Using Aliases (AS).vtt |
2.36KB |
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303B |
| 48. Using Aliases (AS) - Solution.html |
344B |
| 49. Using HAVING.mp4 |
33.02MB |
| 49. Using HAVING.vtt |
3.55KB |
| 5.1 2.3. Categorical variables. Visualization techniques_lesson.xlsx.xlsx |
30.58KB |
| 5.1 365_DataScience.png.png |
7.23MB |
| 5.1 Addint totals and subtotals - Tableau Public Link.html |
150B |
| 5.1 A Note on Boolean Values - Resources.html |
134B |
| 5.1 Audiobook sales.xlsx.xlsx |
1.87MB |
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134B |
| 5.1 GDP Data.xls.xls |
155.50KB |
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134B |
| 5.1 Reassign Values - Resources.html |
134B |
| 5.1 Strings - Resources.html |
134B |
| 5.2 365_DataScience_Diagram.pdf.pdf |
323.08KB |
| 5.2 Check the data - Tableau Public Link.html |
143B |
| 5.2 GDP Data - Tableau Public Link.html |
144B |
| 5.2 Tesla sales data.xlsx.xlsx |
2.75MB |
| 5.3 Audiobook reviews.xlsx.xlsx |
266.85KB |
| 5. A Brief Summary of Regression Analysis.html |
2.84KB |
| 5. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.mp4 |
108.97MB |
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10.43KB |
| 5. Adding Totals and Subtotals.mp4 |
20.90MB |
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1.82KB |
| 5. An Additional Explanation of Boolean Values.mp4 |
11.26MB |
| 5. An Additional Explanation of Boolean Values.vtt |
2.55KB |
| 5. An Example of Stored Procedures Part II.mp4 |
42.15MB |
| 5. An Example of Stored Procedures Part II.vtt |
5.34KB |
| 5. Applying SUM() - Exercise.html |
117B |
| 5. Become Better Acquainted with APIs.mp4 |
115.63MB |
| 5. Become Better Acquainted with APIs.vtt |
9.15KB |
| 5. Big Data Techniques.html |
152B |
| 5. Blending Data in Tableau.mp4 |
32.32MB |
| 5. Blending Data in Tableau.vtt |
5.75KB |
| 5. Categorical Variables - Visualization Techniques.mp4 |
38.43MB |
| 5. Categorical Variables - Visualization Techniques.vtt |
5.66KB |
| 5. Chart 2 Visualizing the Solution in Tableau.mp4 |
49.36MB |
| 5. Chart 2 Visualizing the Solution in Tableau.vtt |
6.41KB |
| 5. Chart 3 Visualizing the Solution in Tableau.mp4 |
40.50MB |
| 5. Chart 3 Visualizing the Solution in Tableau.vtt |
5.08KB |
| 5. Chart 4 Visualizing the Solution in Tableau.mp4 |
22.71MB |
| 5. Chart 4 Visualizing the Solution in Tableau.vtt |
3.31KB |
| 5. Confidence interval clarifications.mp4 |
57.03MB |
| 5. Confidence interval clarifications.vtt |
4.82KB |
| 5. Creating a Connection and Cursor.mp4 |
20.97MB |
| 5. Creating a Connection and Cursor.vtt |
3.10KB |
| 5. Creating a New User and a New Connection to it.mp4 |
47.70MB |
| 5. Creating a New User and a New Connection to it.vtt |
5.88KB |
| 5. EXERCISE - Transportation Expense vs Probability.html |
561B |
| 5. Exporting Your Output from SQL and Loading it in Tableau.mp4 |
31.55MB |
| 5. Exporting Your Output from SQL and Loading it in Tableau.vtt |
4.43KB |
| 5. How to Reassign Values.mp4 |
4.00MB |
| 5. How to Reassign Values.vtt |
1.13KB |
| 5. Introducing Databases.mp4 |
102.86MB |
| 5. Introducing Databases.vtt |
5.89KB |
| 5. Let's Create our first Chart in Tableau!.mp4 |
58.96MB |
| 5. Let's Create our first Chart in Tableau!.vtt |
6.85KB |
| 5. Rejection Region and Significance Level.html |
152B |
| 5. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE - Exercise.html |
175B |
| 5. Strings.mp4 |
30.74MB |
| 5. Strings.vtt |
6.46KB |
| 5. The Functionality of INNER JOIN - Part II.mp4 |
67.08MB |
| 5. The Functionality of INNER JOIN - Part II.vtt |
5.76KB |
| 5. The Normal Distribution.html |
152B |
| 5. THE SQL CASE Statement - Solution 2.html |
1.78KB |
| 5. Use Conditional Statements and Functions Together.mp4 |
15.69MB |
| 5. Use Conditional Statements and Functions Together.vtt |
3.05KB |
| 5. Use the range() Function to Create Lists.html |
152B |
| 5. Using WHERE - Exercise.html |
93B |
| 5. What is List Slicing.mp4 |
30.79MB |
| 5. What is List Slicing.vtt |
4.83KB |
| 5. What is the Standard Library.mp4 |
18.03MB |
| 5. What is the Standard Library.vtt |
3.15KB |
| 5. Why use Jupyter.mp4 |
44.30MB |
| 5. Why use Jupyter.vtt |
4.10KB |
| 50. Using HAVING - Exercise.html |
814B |
| 51. Using HAVING - Solution.html |
629B |
| 52. Using WHERE vs HAVING - Part I.mp4 |
34.89MB |
| 52. Using WHERE vs HAVING - Part I.vtt |
4.17KB |
| 53. Using WHERE vs HAVING - Part II.mp4 |
24.82MB |
| 53. Using WHERE vs HAVING - Part II.vtt |
3.47KB |
| 54. Using WHERE vs HAVING - Part II - Exercise.html |
199B |
| 55. Using WHERE vs HAVING - Part II - Solution.html |
370B |
| 56. Using LIMIT.mp4 |
47.25MB |
| 56. Using LIMIT.vtt |
5.09KB |
| 57. Using LIMIT - Exercise.html |
65B |
| 58. Using LIMIT - Solution.html |
171B |
| 6.1 3.4. Standard normal distribution_lesson.xlsx.xlsx |
10.38KB |
| 6.1 Adding a custom calculation - Tableau Public Link.html |
154B |
| 6.1 Check the data - Tableau Public Link.html |
143B |
| 6.1 Creating Functions Containing a Few Arguments - Resources.html |
134B |
| 6.1 Tuples - Resources.html |
134B |
| 6.1 Use Conditional Statements and Loops Together - Resources.html |
134B |
| 6.2 Audiobook reviews.xlsx.xlsx |
266.85KB |
| 6.3 Audiobook sales.xlsx.xlsx |
1.87MB |
| 6. Adding a Custom Calculation.mp4 |
36.48MB |
| 6. Adding a Custom Calculation.vtt |
3.24KB |
| 6. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.html |
152B |
| 6. An Additional Explanation of Boolean Values.html |
152B |
| 6. An Example of Stored Procedures Part II - Exercise.html |
114B |
| 6. Applying SUM() - Solution.html |
237B |
| 6. Become Better Acquainted with APIs.html |
152B |
| 6. Big Data Real-life Examples.mp4 |
22.06MB |
| 6. Big Data Real-life Examples.vtt |
1.64KB |
| 6. Categorical variables. Visualization Techniques.html |
152B |
| 6. Chart 1 Visualizing the Solution in Tableau - Part I.mp4 |
41.14MB |
| 6. Chart 1 Visualizing the Solution in Tableau - Part I.vtt |
6.54KB |
| 6. Combine Conditional Statements and Loops.mp4 |
16.11MB |
| 6. Combine Conditional Statements and Loops.vtt |
3.15KB |
| 6. EXERCISE - Creating 'df_new_obs'.html |
322B |
| 6. Familiarize Yourself with the MySQL Interface.mp4 |
40.26MB |
| 6. Familiarize Yourself with the MySQL Interface.vtt |
5.55KB |
| 6. How to Create Functions Which Contain a Few Arguments.mp4 |
7.56MB |
| 6. How to Create Functions Which Contain a Few Arguments.vtt |
1.13KB |
| 6. How to Reassign Values.html |
152B |
| 6. Introducing Databases.html |
152B |
| 6. Performing a Numbers Check - Attempt #2.mp4 |
20.47MB |
| 6. Performing a Numbers Check - Attempt #2.vtt |
4.00KB |
| 6. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE - Solution.html |
573B |
| 6. Strings.html |
152B |
| 6. Student's T Distribution.mp4 |
35.38MB |
| 6. Student's T Distribution.vtt |
3.68KB |
| 6. The Approach we will Take to Solve this Exercise.mp4 |
20.16MB |
| 6. The Approach we will Take to Solve this Exercise.vtt |
2.46KB |
| 6. The Functionality of INNER JOIN - PART II - Exercise.html |
140B |
| 6. THE SQL CASE Statement - Exercise 3.html |
411B |
| 6. The Standard Normal Distribution.mp4 |
22.50MB |
| 6. The Standard Normal Distribution.vtt |
3.45KB |
| 6. Type I Error and Type II Error.mp4 |
43.95MB |
| 6. Type I Error and Type II Error.vtt |
4.90KB |
| 6. Using Tableau to Analyze Transportation Expense vs Probability.mp4 |
40.63MB |
| 6. Using Tableau to Analyze Transportation Expense vs Probability.vtt |
6.31KB |
| 6. Using WHERE - Solution.html |
221B |
| 6. What is the Standard Library.html |
152B |
| 6. Why Use Jupyter.html |
152B |
| 6. Working with Tuples.mp4 |
16.67MB |
| 6. Working with Tuples.vtt |
2.96KB |
| 7.1 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx |
41.11KB |
| 7.1 365_DataScience.png.png |
7.23MB |
| 7.1 All In - Conditional Statements, Functions, and Loops - Resources.html |
134B |
| 7.1 Dictionaries - Resources.html |
134B |
| 7.1 First chart - Tableau Public Link.html |
148B |
| 7.1 How to Add Comments - Resources.html |
134B |
| 7.1 Inserting a filter - Tableau Public Link.html |
155B |
| 7.1 Notable Built-In Functions in Python - Resources.html |
134B |
| 7.2 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx |
15.24KB |
| 7.2 Audiobook reviews.xlsx.xlsx |
266.85KB |
| 7.3 Audiobook sales.xlsx.xlsx |
1.87MB |
| 7. All In – Conditional Statements, Functions, and Loops.mp4 |
9.49MB |
| 7. All In – Conditional Statements, Functions, and Loops.vtt |
2.09KB |
| 7. An Example of Stored Procedures Part II - Solution.html |
704B |
| 7. An Overview of our Data Science Infographic.mp4 |
67.83MB |
| 7. An Overview of our Data Science Infographic.vtt |
4.45KB |
| 7. Built-In Functions in Python Worth Knowing.mp4 |
22.02MB |
| 7. Built-In Functions in Python Worth Knowing.vtt |
3.68KB |
| 7. Business Intelligence (BI) Techniques.mp4 |
89.84MB |
| 7. Business Intelligence (BI) Techniques.vtt |
7.57KB |
| 7. Categorical Variables Exercise.html |
81B |
| 7. Chart 1 Visualizing the Solution in Tableau - Part II.mp4 |
45.57MB |
| 7. Chart 1 Visualizing the Solution in Tableau - Part II.vtt |
5.93KB |
| 7. Communication through Text Files.mp4 |
60.33MB |
| 7. Communication through Text Files.vtt |
4.80KB |
| 7. Creating the 'predicted_outputs' Table in MySQL.mp4 |
52.46MB |
| 7. Creating the 'predicted_outputs' Table in MySQL.vtt |
5.24KB |
| 7. Dropping Variables We Don't Need.mp4 |
61.69MB |
| 7. Dropping Variables We Don't Need.vtt |
6.81KB |
| 7. First Chart.mp4 |
27.23MB |
| 7. First Chart.vtt |
4.13KB |
| 7. How to Add Comments.mp4 |
5.00MB |
| 7. How to Add Comments.vtt |
1.49KB |
| 7. How to Import Modules in Python.mp4 |
19.92MB |
| 7. How to Import Modules in Python.vtt |
4.17KB |
| 7. How to Install Python and Jupyter.mp4 |
47.00MB |
| 7. How to Install Python and Jupyter.vtt |
4.59KB |
| 7. Inserting a Filter.mp4 |
27.62MB |
| 7. Inserting a Filter.vtt |
2.34KB |
| 7. MIN() and MAX().mp4 |
10.28MB |
| 7. MIN() and MAX().vtt |
1.34KB |
| 7. Python Dictionaries.mp4 |
25.04MB |
| 7. Python Dictionaries.vtt |
3.63KB |
| 7. Relational Database Fundamentals.mp4 |
107.69MB |
| 7. Relational Database Fundamentals.vtt |
5.94KB |
| 7. SQL Subqueries Nested in SELECT and FROM.mp4 |
71.65MB |
| 7. SQL Subqueries Nested in SELECT and FROM.vtt |
7.45KB |
| 7. Student's T Distribution.html |
152B |
| 7. The Functionality of INNER JOIN - PART II - Solution.html |
443B |
| 7. THE SQL CASE Statement - Solution 3.html |
744B |
| 7. The Standard Normal Distribution.html |
152B |
| 7. Type I Error and Type II Error.html |
152B |
| 7. Using AND.mp4 |
16.74MB |
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2.20KB |
| 8.1 13. Types of Joins.xlsx.xlsx |
56.39KB |
| 8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx.xlsx |
11.44KB |
| 8.1 3.11. Population variance unknown, t-score_lesson.xlsx.xlsx |
10.78KB |
| 8.1 3.4.Standard-normal-distribution-exercise-solution.xlsx.xlsx |
24.04KB |
| 8.1 4.4. Test for the mean. Population variance known_lesson.xlsx.xlsx |
10.96KB |
| 8.1 Audiobook reviews.xlsx.xlsx |
266.85KB |
| 8.1 Iterating over Dictionaries - Resources.html |
134B |
| 8.2 3.11. The t-table.xlsx.xlsx |
15.85KB |
| 8.2 3.4.Standard-normal-distribution-exercise.xlsx.xlsx |
11.99KB |
| 8.2 Second chart - Tableau Public Link.html |
149B |
| 8.3 Audiobook sales.xlsx.xlsx |
1.87MB |
| 8. An Overview of our Data Science Infographic.html |
152B |
| 8. Business Intelligence (BI) Techniques.html |
152B |
| 8. Communication through Text Files.html |
152B |
| 8. Confidence Intervals; Population Variance Unknown; t-score.mp4 |
32.19MB |
| 8. Confidence Intervals; Population Variance Unknown; t-score.vtt |
5.00KB |
| 8. Creating a Procedure in MySQL Another Way.mp4 |
32.43MB |
| 8. Creating a Procedure in MySQL Another Way.vtt |
3.13KB |
| 8. Executing and SQL SELECT Statement from Python.mp4 |
25.35MB |
| 8. Executing and SQL SELECT Statement from Python.vtt |
3.27KB |
| 8. EXERCISE - Dropping Variables We Don't Need.html |
866B |
| 8. Extra Info on Using Joins.mp4 |
43.89MB |
| 8. Extra Info on Using Joins.vtt |
4.37KB |
| 8. How to Add Comments.html |
152B |
| 8. How to Import Modules in Python.html |
152B |
| 8. How to Iterate over Dictionaries.mp4 |
16.99MB |
| 8. How to Iterate over Dictionaries.vtt |
3.34KB |
| 8. MIN() and MAX() - Exercise.html |
128B |
| 8. Numerical Variables - Frequency Distribution Table.mp4 |
25.82MB |
| 8. Numerical Variables - Frequency Distribution Table.vtt |
3.83KB |
| 8. Python Dictionaries.html |
152B |
| 8. Python - Functions.html |
152B |
| 8. Relational Database Fundamentals.html |
152B |
| 8. Second chart.mp4 |
17.08MB |
| 8. Second chart.vtt |
3.38KB |
| 8. SQL Subqueries Embedded in SELECT and FROM - Exercise 1.html |
402B |
| 8. Test for the Mean. Population Variance Known.mp4 |
54.26MB |
| 8. Test for the Mean. Population Variance Known.vtt |
7.12KB |
| 8. The Standard Normal Distribution Exercise.html |
81B |
| 8. Understanding Jupyter’s Interface – Dashboard.mp4 |
13.79MB |
| 8. Understanding Jupyter’s Interface – Dashboard.vtt |
3.25KB |
| 8. Using AND - Exercise.html |
78B |
| 8. Working with Joins in Tableau.mp4 |
45.13MB |
| 8. Working with Joins in Tableau.vtt |
4.71KB |
| 9.1 3.11. The t-table.xlsx.xlsx |
15.85KB |
| 9.1 4.4. Test for the mean. Population variance known_exercise_solution.xlsx.xlsx |
11.22KB |
| 9.1 Audiobook sales.xlsx.xlsx |
1.87MB |
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589.59KB |
| 9.1 Line Continuation - Resources.html |
134B |
| 9.2 3.11. Population variance unknown, t-score_exercise_solution.xlsx.xlsx |
11.10KB |
| 9.2 4.4. Test for the mean. Population variance known_exercise.xlsx.xlsx |
11.03KB |
| 9.2 Audiobook reviews.xlsx.xlsx |
266.85KB |
| 9.3 3.11. Population variance unknown, t-score_exercise.xlsx.xlsx |
10.62KB |
| 9.3 Third chart - Tableau Public Link.html |
148B |
| 9. Business Intelligence (BI) Real-life Examples.mp4 |
29.51MB |
| 9. Business Intelligence (BI) Real-life Examples.vtt |
1.89KB |
| 9. Central Limit Theorem.mp4 |
62.91MB |
| 9. Central Limit Theorem.vtt |
4.95KB |
| 9. Comparing Databases and Spreadsheets.mp4 |
156.77MB |
| 9. Comparing Databases and Spreadsheets.vtt |
9.13KB |
| 9. Confidence Intervals; Population Variance Unknown; t-score Exercise.html |
82B |
| 9. Create Stored Procedures with an Input Parameter.mp4 |
64.51MB |
| 9. Create Stored Procedures with an Input Parameter.vtt |
6.62KB |
| 9. Duplicate Rows.mp4 |
46.52MB |
| 9. Duplicate Rows.vtt |
4.48KB |
| 9. MIN() and MAX() - Solution.html |
352B |
| 9. Numerical variables. Using a frequency distribution table.html |
152B |
| 9. Sending Data from Jupyter to Workbench - Part I.mp4 |
76.29MB |
| 9. Sending Data from Jupyter to Workbench - Part I.vtt |
6.92KB |
| 9. SOLUTION - Dropping Variables We Don't Need.html |
113B |
| 9. SQL Subqueries Embedded in SELECT and FROM - Exercise 2.html |
1.02KB |
| 9. Test for the Mean. Population Variance Known Exercise.html |
82B |
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15.25MB |
| 9. Third Chart.vtt |
2.89KB |
| 9. Understanding Jupyter’s Interface – Prerequisites for Coding.mp4 |
30.60MB |
| 9. Understanding Jupyter’s Interface – Prerequisites for Coding.vtt |
6.80KB |
| 9. Understanding Line Continuation.mp4 |
2.35MB |
| 9. Understanding Line Continuation.vtt |
1.00KB |
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241B |
| 9. What is Software Integration and How is it Applied.mp4 |
72.62MB |
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6.00KB |