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| 1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx |
146.51Кб |
| 1.1 3.17. Practical example. Confidence intervals_lesson.xlsx |
1.74Мб |
| 1.1 365_DataScience.png |
7.24Мб |
| 1.1 4.10.Hypothesis-testing-section-practical-example.xlsx |
51.71Кб |
| 1.1 Arithmetic Operators - Resources.html |
134б |
| 1.1 Audiobook reviews.xlsx |
266.85Кб |
| 1.1 BI - FAQ.pdf |
1.11Мб |
| 1.1 Comparison Operators - Resources.html |
134б |
| 1.1 Course notes_descriptive_statistics.pdf |
482.21Кб |
| 1.1 Course notes_descriptive_statistics.pdf |
482.21Кб |
| 1.1 Course notes_hypothesis_testing.pdf |
656.44Кб |
| 1.1 Course notes_inferential statistics.pdf |
382.32Кб |
| 1.1 Defining a Function in Python - Resources.html |
134б |
| 1.1 df_preprocessed.csv |
29.11Кб |
| 1.1 employees_db.pdf |
178.82Кб |
| 1.1 employees_mod_db.pdf |
129.65Кб |
| 1.1 For Loops - Resources.html |
134б |
| 1.1 GDP Data.xls |
155.50Кб |
| 1.1 Introduction to the If Statement - Resources.html |
134б |
| 1.1 Lists - Resources.html |
134б |
| 1.1 MySQL_Workbench_Shortcuts.pdf |
515.23Кб |
| 1.1 Python Introduction - Course Notes.pdf |
2.03Мб |
| 1.1 The 5 files rar.html |
134б |
| 1.2 Audiobook sales.xlsx |
1.87Мб |
| 1.2 data_preprocessing_homework.pdf |
134.47Кб |
| 1.2 Python Variables - Resources.html |
134б |
| 1.2 Statistics Glossary.xlsx |
20.26Кб |
| 1.3 Absenteeism_data.csv |
32.05Кб |
| 1. A 5-minute explanation of Programming.mp4 |
58.53Мб |
| 1. A 5-minute explanation of Programming.srt |
6.90Кб |
| 1. Applying COUNT().mp4 |
27.38Мб |
| 1. Applying COUNT().srt |
4.95Кб |
| 1. Coding Tips and Best Practices - I.mp4 |
37.82Мб |
| 1. Coding Tips and Best Practices - I.srt |
6.71Кб |
| 1. Data Science Job Positions What do they Involve and What to Look out for.mp4 |
54.35Мб |
| 1. Data Science Job Positions What do they Involve and What to Look out for.srt |
4.49Кб |
| 1. Defining Stored Routines.mp4 |
29.93Мб |
| 1. Defining Stored Routines.srt |
4.41Кб |
| 1. Dispelling common Misconceptions.mp4 |
72.72Мб |
| 1. Dispelling common Misconceptions.srt |
5.29Кб |
| 1. Duplicating a Sheet.mp4 |
25.33Мб |
| 1. Duplicating a Sheet.srt |
3.24Кб |
| 1. EXERCISE - Age vs Probability.html |
385б |
| 1. Getting Started with Data, Servers, Clients, Requests, and Responses.mp4 |
69.07Мб |
| 1. Getting Started with Data, Servers, Clients, Requests, and Responses.srt |
5.93Кб |
| 1. Getting to know the IF Statement.mp4 |
23.24Мб |
| 1. Getting to know the IF Statement.srt |
7.60Кб |
| 1. How is the Content in the Next Sections Organized.html |
2.44Кб |
| 1. How to Define a Function in Python.mp4 |
14.75Мб |
| 1. How to Define a Function in Python.srt |
5.32Кб |
| 1. How to Use the 'absenteeism_module' in Python - Part I.mp4 |
25.45Мб |
| 1. How to Use the 'absenteeism_module' in Python - Part I.srt |
4.76Кб |
| 1. Installing MySQL Workbench and Server.mp4 |
99.10Мб |
| 1. Installing MySQL Workbench and Server.srt |
12.65Кб |
| 1. Introduction.mp4 |
15.50Мб |
| 1. Introduction.srt |
1.63Кб |
| 1. Introduction to Lists.mp4 |
37.79Мб |
| 1. Introduction to Lists.srt |
9.83Кб |
| 1. Introduction to Object Oriented Programming (OOP).mp4 |
33.59Мб |
| 1. Introduction to Object Oriented Programming (OOP).srt |
6.10Кб |
| 1. Introduction to Software Integration.mp4 |
92.71Мб |
| 1. Introduction to Software Integration.srt |
7.08Кб |
| 1. Introduction to the Exercise.mp4 |
28.48Мб |
| 1. Introduction to the Exercise.srt |
2.53Кб |
| 1. Loading the 'employees' Database.mp4 |
18.99Мб |
| 1. Loading the 'employees' Database.srt |
2.72Кб |
| 1. Population vs sample.mp4 |
58.09Мб |
| 1. Population vs sample.srt |
5.47Кб |
| 1. Practical Example.mp4 |
160.47Мб |
| 1. Practical Example.srt |
20.78Кб |
| 1. Practical Example Hypothesis Testing.mp4 |
69.38Мб |
| 1. Practical Example Hypothesis Testing.srt |
8.49Кб |
| 1. Practical Example Inferential Statistics.mp4 |
102.64Мб |
| 1. Practical Example Inferential Statistics.srt |
13.64Кб |
| 1. Problem 1 Task.mp4 |
33.81Мб |
| 1. Problem 1 Task.srt |
7.13Кб |
| 1. Problem 2 Task.mp4 |
29.02Мб |
| 1. Problem 2 Task.srt |
4.64Кб |
| 1. Problem 3 Task.mp4 |
13.30Мб |
| 1. Problem 3 Task.srt |
2.84Кб |
| 1. Problem 4 Task.mp4 |
23.74Мб |
| 1. Problem 4 Task.srt |
3.60Кб |
| 1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard.mp4 |
56.20Мб |
| 1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard.srt |
6.69Кб |
| 1. Programming Languages & Software Employed in Data Science - All the Tools Needed.mp4 |
103.39Мб |
| 1. Programming Languages & Software Employed in Data Science - All the Tools Needed.srt |
7.29Кб |
| 1. Python's Comparison Operators.mp4 |
10.17Мб |
| 1. Python's Comparison Operators.srt |
2.47Кб |
| 1. Python Variables.mp4 |
25.30Мб |
| 1. Python Variables.srt |
6.05Кб |
| 1. Solving a Business Exercise with Python, SQL, and Tableau.mp4 |
52.31Мб |
| 1. Solving a Business Exercise with Python, SQL, and Tableau.srt |
5.46Кб |
| 1. SQL Subqueries with IN Embedded Inside WHERE.mp4 |
37.45Мб |
| 1. SQL Subqueries with IN Embedded Inside WHERE.srt |
5.03Кб |
| 1. The Arithmetic Operators of Python.mp4 |
18.92Мб |
| 1. The Arithmetic Operators of Python.srt |
4.11Кб |
| 1. The Null vs Alternative Hypothesis.mp4 |
92.08Мб |
| 1. The Null vs Alternative Hypothesis.srt |
6.97Кб |
| 1. The SQL CASE Statement.mp4 |
59.43Мб |
| 1. The SQL CASE Statement.srt |
6.86Кб |
| 1. Traditional Data Techniques.mp4 |
138.40Мб |
| 1. Traditional Data Techniques.srt |
10.62Кб |
| 1. Types of Data.mp4 |
72.48Мб |
| 1. Types of Data.srt |
5.95Кб |
| 1. Using For Loops.mp4 |
23.59Мб |
| 1. Using For Loops.srt |
6.58Кб |
| 1. Using SELECT - FROM.mp4 |
35.93Мб |
| 1. Using SELECT - FROM.srt |
5.79Кб |
| 1. What are Confidence Intervals.mp4 |
49.96Мб |
| 1. What are Confidence Intervals.srt |
3.26Кб |
| 1. What are JOINs.mp4 |
42.20Мб |
| 1. What are JOINs.srt |
5.11Кб |
| 1. What Does the Course Cover.mp4 |
55.09Мб |
| 1. What Does the Course Cover.srt |
5.02Кб |
| 1. When are Traditional data, Big Data, BI, Traditional Data Science and ML applied.mp4 |
126.75Мб |
| 1. When are Traditional data, Big Data, BI, Traditional Data Science and ML applied.srt |
8.99Кб |
| 1. Why Are There So Many Business and Data Science Buzzwords.mp4 |
81.39Мб |
| 1. Why Are There So Many Business and Data Science Buzzwords.srt |
6.62Кб |
| 1. Why do we Need each of these Disciplines.mp4 |
87.45Мб |
| 1. Why do we Need each of these Disciplines.srt |
6.50Кб |
| 1. Why use SQL.mp4 |
70.07Мб |
| 1. Why use SQL.srt |
4.58Кб |
| 1. Why Use Tableau Make Your Data Make an Impact.mp4 |
39.20Мб |
| 1. Why Use Tableau Make Your Data Make an Impact.srt |
4.76Кб |
| 10.1 2.4. Numerical variables. Frequency distribution table_exercise_solution.xlsx |
13.25Кб |
| 10.1 Creating a dashboard - Tableau Public Link.html |
151б |
| 10.1 Indexing Elements - Resources.html |
134б |
| 10.1 Online p-value calculator.pdf |
1.15Мб |
| 10.1 Subqueries SELECT FROM Solution.sql |
1.85Кб |
| 10.2 2.4.Numerical-variables.Frequency-distribution-table-exercise.xlsx |
12.02Кб |
| 10.2 Audiobook sales.xlsx |
1.87Мб |
| 10.3 Audiobook reviews.xlsx |
266.85Кб |
| 10. A Deeper Look at the 'Reasons for Absence' Column.mp4 |
40.57Мб |
| 10. A Deeper Look at the 'Reasons for Absence' Column.srt |
5.85Кб |
| 10. Applying AVG().mp4 |
13.53Мб |
| 10. Applying AVG().srt |
2.52Кб |
| 10. Central Limit Theorem.html |
156б |
| 10. Comparing Databases and Spreadsheets.html |
156б |
| 10. Create Stored Procedures with an Output Parameter.mp4 |
32.51Мб |
| 10. Create Stored Procedures with an Output Parameter.srt |
4.07Кб |
| 10. Creating and Formatting a Dashboard.mp4 |
31.83Мб |
| 10. Creating and Formatting a Dashboard.srt |
5.29Кб |
| 10. How to Index Elements.mp4 |
5.93Мб |
| 10. How to Index Elements.srt |
1.70Кб |
| 10. Margin of Error.mp4 |
47.20Мб |
| 10. Margin of Error.srt |
6.15Кб |
| 10. Numerical Variables Exercise.html |
81б |
| 10. p-value.mp4 |
55.93Мб |
| 10. p-value.srt |
5.03Кб |
| 10. Sending Data from Jupyter to Workbench - Part II.mp4 |
58.22Мб |
| 10. Sending Data from Jupyter to Workbench - Part II.srt |
7.65Кб |
| 10. SQL Subqueries Nested in SELECT and FROM - Solution 2.html |
15б |
| 10. The Functionality of LEFT JOIN - Part I.mp4 |
50.81Мб |
| 10. The Functionality of LEFT JOIN - Part I.srt |
5.72Кб |
| 10. Traditional Methods Techniques.mp4 |
111.64Мб |
| 10. Traditional Methods Techniques.srt |
10.98Кб |
| 10. Understanding Jupyter's Interface.html |
156б |
| 10. Using OR.mp4 |
33.22Мб |
| 10. Using OR.srt |
3.92Кб |
| 10. What is Software Integration and How is it Applied.html |
156б |
| 11.1 2.5. The Histogram_lesson.xlsx |
18.63Кб |
| 11.1 Audiobook reviews.xlsx |
266.85Кб |
| 11.1 Integration.html |
154б |
| 11.1 Python Introduction - Course Notes.pdf |
2.04Мб |
| 11.2 Adding a filter - Tableau Public Link.html |
155б |
| 11.3 Audiobook sales.xlsx |
1.87Мб |
| 11. Adding Interactive Filters for Improved Analysis.mp4 |
31.65Мб |
| 11. Adding Interactive Filters for Improved Analysis.srt |
4.86Кб |
| 11. Applying AVG() - Exercise.html |
102б |
| 11. Create Stored Procedures with an Output Parameter - Exercise.html |
152б |
| 11. How to Index Elements.html |
156б |
| 11. Important Database Terminology.mp4 |
90.50Мб |
| 11. Important Database Terminology.srt |
6.01Кб |
| 11. Margin of Error.html |
156б |
| 11. p-value.html |
156б |
| 11. Python 2 vs Python 3.mp4 |
11.28Мб |
| 11. Python 2 vs Python 3.srt |
3.31Кб |
| 11. Sending Data from Jupyter to Workbench - Part III.mp4 |
32.83Мб |
| 11. Sending Data from Jupyter to Workbench - Part III.srt |
3.33Кб |
| 11. Splitting a Variable into Multiple Dummy Variables.mp4 |
81.13Мб |
| 11. Splitting a Variable into Multiple Dummy Variables.srt |
10.20Кб |
| 11. Standard error.mp4 |
22.75Мб |
| 11. Standard error.srt |
2.02Кб |
| 11. The Functionality of LEFT JOIN - Part II.mp4 |
54.88Мб |
| 11. The Functionality of LEFT JOIN - Part II.srt |
6.87Кб |
| 11. The Histogram.mp4 |
13.80Мб |
| 11. The Histogram.srt |
3.01Кб |
| 11. Traditional Methods Techniques.html |
156б |
| 11. Using OR - Exercise.html |
85б |
| 12.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx |
10.47Кб |
| 12.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx |
14.54Кб |
| 12.1 Structure Your Code with Indentation - Resources.html |
134б |
| 12. Applying AVG() - Solution.html |
237б |
| 12. Confidence intervals. Two means. Dependent samples.mp4 |
70.45Мб |
| 12. Confidence intervals. Two means. Dependent samples.srt |
8.03Кб |
| 12. EXERCISE - Splitting a Variable into Multiple Dummy Variables.html |
129б |
| 12. How to Structure Your Code with Indentation.mp4 |
13.15Мб |
| 12. How to Structure Your Code with Indentation.srt |
4.68Кб |
| 12. Important Database Terminology.html |
156б |
| 12. Interactive Filters - fix.mp4 |
12.48Мб |
| 12. Interactive Filters - fix.srt |
1.94Кб |
| 12. Standard error.html |
156б |
| 12. Stored Procedures with an Output Parameter - Solution.html |
931б |
| 12. Test for the Mean. Population Variance Unknown.mp4 |
40.19Мб |
| 12. Test for the Mean. Population Variance Unknown.srt |
5.73Кб |
| 12. The Functionality of LEFT JOIN - Part II - Exercise.html |
441б |
| 12. The Histogram.html |
156б |
| 12. Traditional Methods Real-life Examples.mp4 |
42.85Мб |
| 12. Traditional Methods Real-life Examples.srt |
3.58Кб |
| 12. Using OR - Solution.html |
248б |
| 13.1 2.5. The Histogram_exercise_solution.xlsx |
16.83Кб |
| 13.1 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx |
13.74Кб |
| 13.1 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx |
12.63Кб |
| 13.2 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx |
14.24Кб |
| 13.2 4.6. Test-for-the-mean.Population-variance-unknown-exercise.xlsx |
11.34Кб |
| 13.2 Statistics - PDF with Excel Solutions that don't visualize properly.pdf |
289.12Кб |
| 13.3 2.5. The Histogram_exercise.xlsx |
15.50Кб |
| 13. Confidence intervals. Two means. Dependent samples Exercise.html |
82б |
| 13. Estimators and Estimates.mp4 |
47.86Мб |
| 13. Estimators and Estimates.srt |
3.71Кб |
| 13. Histogram Exercise.html |
81б |
| 13. How to Structure Your Code with Indentation.html |
156б |
| 13. Machine Learning (ML) Techniques.mp4 |
99.27Мб |
| 13. Machine Learning (ML) Techniques.srt |
8.73Кб |
| 13. Operator Precedence and Logical Order.mp4 |
32.07Мб |
| 13. Operator Precedence and Logical Order.srt |
4.35Кб |
| 13. Rounding Numbers with ROUND().mp4 |
16.81Мб |
| 13. Rounding Numbers with ROUND().srt |
2.62Кб |
| 13. SOLUTION - Splitting a Variable into Multiple Dummy Variables.html |
116б |
| 13. SQL Variables.mp4 |
54.57Мб |
| 13. SQL Variables.srt |
7.39Кб |
| 13. Test for the Mean. Population Variance Unknown Exercise.html |
82б |
| 13. The Concept of Relational Schemas Primary Key.mp4 |
42.91Мб |
| 13. The Concept of Relational Schemas Primary Key.srt |
6.97Кб |
| 13. The Functionality of LEFT JOIN - Part II - Solution.html |
599б |
| 14.1 2.6. Cross table and scatter plot.xlsx |
26.12Кб |
| 14.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx |
9.83Кб |
| 14.1 4.7. Test for the mean. Dependent samples_lesson.xlsx |
9.79Кб |
| 14. Confidence intervals. Two means. Independent samples (Part 1).mp4 |
28.77Мб |
| 14. Confidence intervals. Two means. Independent samples (Part 1).srt |
6.07Кб |
| 14. Cross Table and Scatter Plot.mp4 |
39.80Мб |
| 14. Cross Table and Scatter Plot.srt |
6.68Кб |
| 14. Estimators and Estimates.html |
156б |
| 14. How to Drop a Dummy Variable from the Data Set.html |
2.34Кб |
| 14. Machine Learning (ML) Techniques.html |
156б |
| 14. Operator Precedence and Logical Order - Exercise.html |
92б |
| 14. Rounding Numbers with ROUND() - Exercise.html |
145б |
| 14. SQL Variables - Exercise.html |
299б |
| 14. Test for the Mean. Dependent Samples.mp4 |
50.41Мб |
| 14. Test for the Mean. Dependent Samples.srt |
6.26Кб |
| 14. The Concept of Relational Schemas Primary Key.html |
156б |
| 14. The Functionality of RIGHT JOIN.mp4 |
32.23Мб |
| 14. The Functionality of RIGHT JOIN.srt |
5.10Кб |
| 15.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx |
10.12Кб |
| 15.1 4.7. Test for the mean. Dependent samples_exercise.xlsx |
12.80Кб |
| 15.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx |
9.83Кб |
| 15.2 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx |
14.40Кб |
| 15. A Statistical Perspective on Dummy Variables.mp4 |
13.76Мб |
| 15. A Statistical Perspective on Dummy Variables.srt |
1.70Кб |
| 15. Confidence intervals. Two means. Independent samples (Part 1) Exercise.html |
82б |
| 15. Cross Tables and Scatter Plots.html |
156б |
| 15. Differences between the New and the Old Join Syntax.mp4 |
32.01Мб |
| 15. Differences between the New and the Old Join Syntax.srt |
5.36Кб |
| 15. Machine Learning (ML) Types of Machine Learning.mp4 |
125.05Мб |
| 15. Machine Learning (ML) Types of Machine Learning.srt |
10.51Кб |
| 15. Operator Precedence and Logical Order - Solution.html |
265б |
| 15. Rounding Numbers with ROUND() - Solution.html |
247б |
| 15. SQL Variables - Solution.html |
156б |
| 15. Test for the Mean. Dependent Samples Exercise.html |
82б |
| 15. The Concept of Relational Schemas Foreign Key.mp4 |
43.97Мб |
| 15. The Concept of Relational Schemas Foreign Key.srt |
6.73Кб |
| 16.1 2.6. Cross table and scatter plot_exercise_solution.xlsx |
40.44Кб |
| 16.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx |
9.52Кб |
| 16.1 4.8. Test for the mean. Independent samples (Part 1)_lesson.xlsx |
9.63Кб |
| 16.2 2.6. Cross table and scatter plot_exercise.xlsx |
16.28Кб |
| 16. Categorizing the Various Reasons for Absence.mp4 |
74.56Мб |
| 16. Categorizing the Various Reasons for Absence.srt |
10.02Кб |
| 16. Confidence intervals. Two means. Independent samples (Part 2).mp4 |
26.84Мб |
| 16. Confidence intervals. Two means. Independent samples (Part 2).srt |
4.51Кб |
| 16. Cross Tables and Scatter Plots Exercise.html |
81б |
| 16. Differences between the New and the Old Join Syntax - Exercise.html |
192б |
| 16. Machine Learning (ML) Types of Machine Learning.html |
156б |
| 16. Test for the mean. Independent samples (Part 1).mp4 |
29.97Мб |
| 16. Test for the mean. Independent samples (Part 1).srt |
5.51Кб |
| 16. The Benefit of User-Defined Functions in MySQL.mp4 |
48.76Мб |
| 16. The Benefit of User-Defined Functions in MySQL.srt |
7.32Кб |
| 16. The Concept of Relational Schemas Foreign Key.html |
156б |
| 16. Using IN - NOT IN.mp4 |
32.13Мб |
| 16. Using IN - NOT IN.srt |
3.77Кб |
| 17.1 2.7. Mean, median and mode_lesson.xlsx |
10.49Кб |
| 17.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx |
9.17Кб |
| 17.1 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx |
10.77Кб |
| 17.2 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise_solution.xlsx |
9.79Кб |
| 17.2 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx |
11.25Кб |
| 17. Concatenation in Python.mp4 |
38.74Мб |
| 17. Concatenation in Python.srt |
5.07Кб |
| 17. Confidence intervals. Two means. Independent samples (Part 2) Exercise.html |
82б |
| 17. Differences between the New and the Old Join Syntax - Solution.html |
942б |
| 17. Error Code 1418..html |
2.84Кб |
| 17. Machine Learning (ML) Real-life Examples.mp4 |
36.85Мб |
| 17. Machine Learning (ML) Real-life Examples.srt |
2.90Кб |
| 17. Mean, median and mode.mp4 |
37.10Мб |
| 17. Mean, median and mode.srt |
5.73Кб |
| 17. Test for the mean. Independent samples (Part 1). Exercise.html |
82б |
| 17. The Concept of Relational Schemas Unique Key and Null Values.mp4 |
24.52Мб |
| 17. The Concept of Relational Schemas Unique Key and Null Values.srt |
4.38Кб |
| 17. Using IN - NOT IN - Exercise 1.html |
140б |
| 18.1 2.7. Mean, median and mode_exercise.xlsx |
10.87Кб |
| 18.1 4.9. Test for the mean. Independent samples (Part 2)_lesson.xlsx |
9.31Кб |
| 18.2 2.7. Mean, median and mode_exercise_solution.xlsx |
11.35Кб |
| 18. Confidence intervals. Two means. Independent samples (Part 3).mp4 |
19.91Мб |
| 18. Confidence intervals. Two means. Independent samples (Part 3).srt |
1.96Кб |
| 18. EXERCISE - Concatenation in Python.html |
189б |
| 18. Machine Learning (ML) Real-life Examples.html |
156б |
| 18. Mean, Median and Mode Exercise.html |
81б |
| 18. Test for the mean. Independent samples (Part 2).mp4 |
36.37Мб |
| 18. Test for the mean. Independent samples (Part 2).srt |
5.14Кб |
| 18. The Benefit of User-Defined Functions in MySQL - Exercise.html |
432б |
| 18. The Concept of Relational Schemas Unique Key.html |
156б |
| 18. Using IN - NOT IN - Solution 1.html |
234б |
| 18. Using JOIN and WHERE Together.mp4 |
25.18Мб |
| 18. Using JOIN and WHERE Together.srt |
3.47Кб |
| 19.1 2.8. Skewness_lesson.xlsx |
34.63Кб |
| 19. Important – Prevent Error Code 1055!.html |
3.17Кб |
| 19. Skewness.mp4 |
19.44Мб |
| 19. Skewness.srt |
3.64Кб |
| 19. SOLUTION - Concatenation in Python.html |
142б |
| 19. Test for the mean. Independent samples (Part 2).html |
156б |
| 19. The Benefit of User-Defined Functions in MySQL - Solution.html |
1.57Кб |
| 19. The Concept of Relational Schemas Relationships Between Tables.mp4 |
41.68Мб |
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| 19. Using IN - NOT IN - Exercise 2.html |
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| 2.1 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx |
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| 2. Creating a Table.mp4 |
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| 2. Data Science Job Positions What do they Involve and What to Look out for.html |
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| 2. Defining Stored Routines.html |
156б |
| 2. Dispelling common Misconceptions.html |
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| 2. Download All Resources.html |
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| 2. For Loops.html |
156б |
| 2. Further Reading on Null and Alternative Hypothesis.html |
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156б |
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156б |
| 2. How to Create a Function with a Parameter.mp4 |
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| 2. How to Import the Data Set in Python.mp4 |
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| 2. How to Use the 'absenteeism_module' in Python - Part II.mp4 |
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818б |
| 2. Introduction to Lists.html |
156б |
| 2. Introduction to Object Oriented Programming (OOP).html |
156б |
| 2. Let's Create a Dashboard - Visualizing the Three Charts We Want to Create.mp4 |
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| 2. Let's Download Tableau Public.mp4 |
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| 2. Practical Example Exercise.html |
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| 2. Practical Example Hypothesis Testing Exercise.html |
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| 2. Practical Example Inferential Statistics Exercise.html |
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| 2. Presenting the Task Absenteeism at Work.mp4 |
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| 2. Programming Languages & Software Employed in Data Science - All the Tools Needed.html |
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| 2. Python's Comparison Operators.html |
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| 2. SQL Subqueries with IN Embedded Inside WHERE - Exercise.html |
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| 2. The SQL CASE Statement - Exercise 1.html |
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156б |
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156б |
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156б |
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149б |
| 2. Using Tableau to Analyze Age vs Probability.mp4 |
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| 2. What are Confidence Intervals.html |
156б |
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| 2. What is a Distribution.mp4 |
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| 2. When are Traditional data, Big Data, BI, Traditional Data Science and ML applied.html |
156б |
| 2. Why do we Need each of these Disciplines.html |
156б |
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| 20.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx |
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| 20.2 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx |
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| 20. Concluding Stored Routines.mp4 |
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| 20. How to Reorder Columns in a DataFrame in Python.mp4 |
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| 20. Skewness.html |
156б |
| 20. Test for the mean. Independent samples (Part 2).html |
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| 20. The Concept of Relational Schemas Relationships Between Tables.html |
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| 20. Using IN - NOT IN - Solution 2.html |
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| 21.1 2.8. Skewness_exercise_solution.xlsx |
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| 21.2 2.8. Skewness_exercise.xlsx |
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| 21. Concluding Stored Routines.html |
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| 22.1 2.9. Variance_lesson.xlsx |
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| 23.1 2.9. Variance_exercise.xlsx |
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176б |
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| 23. Using LIKE - NOT LIKE - Solution.html |
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| 24.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx |
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| 24. Standard Deviation and Coefficient of Variation.mp4 |
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| 25. SOLUTION - Using Checkpoints to Ease Your Work in Jupyter.html |
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| 25. Standard deviation.html |
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| 25. The Functionality of CROSS JOIN - Exercise 2.html |
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| 26.1 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx |
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| 26.2 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx |
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| 26. Analyzing the Date Column.mp4 |
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| 26. Analyzing the Date Column.srt |
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| 26. Standard Deviation and Coefficient of Variation Exercise.html |
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| 26. The Functionality of CROSS JOIN - Solution 2.html |
413б |
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| 27.1 2.11. Covariance_lesson.xlsx |
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| 27. Combining Aggregate Functions with Joins.mp4 |
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| 27. Using BETWEEN - AND.mp4 |
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| 28. Covariance.html |
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| 28. JOIN More than Two Tables.mp4 |
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| 29.1 2.11. Covariance_exercise_solution.xlsx |
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| 3.1 3.9.The-z-table.xlsx |
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134б |
| 3.1 Tesla sales data.xlsx |
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| 3.1 The Double Equality Sign - Resources.html |
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| 3.1 Understanding Numbers and Boolean Values - Resources.html |
134б |
| 3.1 While Loops and Incrementing - Resources.html |
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| 3.2 3.9. Population variance known, z-score_lesson.xlsx |
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| 3. Applying COUNT() - Solution.html |
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| 3. Confidence Intervals; Population Variance Known; z-score.mp4 |
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| 3. Connecting Data in Tableau.mp4 |
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| 3. Create Stored Procedures with MySQL Syntax.mp4 |
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| 3. Creating Custom Fields.mp4 |
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| 3. Creating the 'predicted_outputs' Database in MySQL.mp4 |
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| 3. Define a Function in Another Way.mp4 |
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| 3. EXERCISE - Reasons vs Probability.html |
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| 3. Getting Started with Data Connectivity, APIs, and Endpoints.mp4 |
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| 3. Intro to Business Analytics, Data Analytics, and Data Science.mp4 |
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| 3. Levels of Measurement.mp4 |
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| 3. Loading the Database.mp4 |
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| 3. Problem 2 Solution in SQL.mp4 |
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| 3. Python's Logical and Identity Operators.mp4 |
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| 3. SQL Subqueries with IN Embedded Inside WHERE - Solution.html |
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| 3. The Null vs Alternative Hypothesis.html |
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| 3. THE SQL CASE Statement - Solution 1.html |
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| 3. Traditional Data Real-life Examples.mp4 |
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| 3. Understanding Numbers and Boolean Values.mp4 |
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| 3. Using Joins in Tableau.mp4 |
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| 3. What are JOINs - Exercise 2.html |
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| 3. What is the Double Equality Sign.mp4 |
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| 3. Why use MySQL.mp4 |
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| 30.1 2.12. Correlation_lesson.xlsx |
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| 30. Analysis of the Next 5 Columns in DF.mp4 |
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| 30. Analysis of the Next 5 Columns in DF.srt |
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| 30. Correlation Coefficient.mp4 |
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| 30. Correlation Coefficient.srt |
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| 30. JOIN More than Two Tables - Solution.html |
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| 30. Using IS NOT NULL - IS NULL.mp4 |
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| 30. Using IS NOT NULL - IS NULL.srt |
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| 31. Correlation Coefficient.html |
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| 31. Dealing with More Numerical Features which may Behave like Categorical Ones.mp4 |
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| 31. Dealing with More Numerical Features which may Behave like Categorical Ones.srt |
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| 31. Top Tips for Joins.mp4 |
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| 31. Top Tips for Joins.srt |
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| 31. Using IS NOT NULL - IS NULL - Exercise.html |
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| 32.1 2.12. Correlation_exercise_solution.xlsx |
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| 32.1 Exercises and solutions.html |
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| 32.2 2.12. Correlation_exercise.xlsx |
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| 32.2 Preprocessing.html |
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| 32. A Final Note on this Section.mp4 |
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| 32. A Final Note on this Section.srt |
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| 32. Correlation Coefficient Exercise.html |
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| 32. Top Tips for Joins - Exercise.html |
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| 32. Using IS NOT NULL - IS NULL - Solution.html |
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| 33. Top Tips for Joins - Solution.html |
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| 33. Using Other Comparison Operators.mp4 |
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| 33. Using Other Comparison Operators.srt |
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| 34. The Differences Between UNION and UNION ALL.mp4 |
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| 34. Using Other Comparison Operators - Exercise.html |
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| 35. The Differences Between UNION and UNION ALL - Exercise.html |
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| 35. Using Other Comparison Operators - Solution.html |
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| 36. The Differences Between UNION and UNION ALL - Solution.html |
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| 36. Using SELECT DISTINCT.mp4 |
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| 36. Using SELECT DISTINCT.srt |
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| 37. Using SELECT DISTINCT - Exercise.html |
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| 38. Using SELECT DISTINCT - Solution.html |
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| 39. Getting to Know Aggregate Functions.mp4 |
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| 39. Getting to Know Aggregate Functions.srt |
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| 4.1 3.9. Population variance known, z-score_exercise_solution.xlsx |
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157б |
| 4.1 Else if, for Brief - Elif - Resources.html |
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| 4.1 GDP Data.xls |
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| 4.2 3.9. Population variance known, z-score_exercise.xlsx |
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| 4.2 Tesla sales data.xlsx |
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| 4.3 3.9.The-z-table.xlsx |
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| 4.3 Audiobook reviews.xlsx |
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| 4. An Example of Stored Procedures Part I.mp4 |
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| 4. Big Data Techniques.mp4 |
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| 4. Coding Tips and Best Practices - II.html |
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| 4. Confidence Intervals; Population Variance Known; z-score Exercise.html |
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| 4. Creating a Custom Field and Adding Calculations to a Table.mp4 |
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| 4. Else if, for Brief – ELIF.mp4 |
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| 4. Getting Started with Data Connectivity, APIs, and Endpoints.html |
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| 4. How to use a Function within a Function.mp4 |
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| 4. Importing 'pymysql' in Python.mp4 |
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| 4. Intro to Business Analytics, Data Analytics, and Data Science.html |
156б |
| 4. Levels of measurement.html |
156б |
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| 4. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE.mp4 |
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156б |
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156б |
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| 40. Getting to Know Aggregate Functions - Exercise.html |
262б |
| 41. Getting to Know Aggregate Functions - Solution.html |
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