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| [CourseClub.ME].url |
122б |
| [FCS Forum].url |
133б |
| [FreeCourseSite.com].url |
127б |
| 001 A Practical Example - What Will You Learn in This Course_.en.srt |
7.36Кб |
| 001 A Practical Example - What Will You Learn in This Course_.mp4 |
58.11Мб |
| 002 What Does the Course Cover_.en.srt |
8.85Кб |
| 002 What Does the Course Cover_.mp4 |
60.77Мб |
| 003 Download All Resources.html |
1.75Кб |
| 004 FAQ.html |
19.19Кб |
| 005 Introduction to the World of Business and Data.en.srt |
3.84Кб |
| 005 Introduction to the World of Business and Data.mp4 |
28.33Мб |
| 006 Relevant Terms Explained.en.srt |
8.58Кб |
| 006 Relevant Terms Explained.mp4 |
52.77Мб |
| 007 Data Analyst Compared to Other Data Jobs.en.srt |
3.65Кб |
| 007 Data Analyst Compared to Other Data Jobs.mp4 |
27.64Мб |
| 008 Data Analyst Job Description.en.srt |
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| 008 Data Analyst Job Description.mp4 |
68.12Мб |
| 009 Why Python.en.srt |
7.70Кб |
| 009 Why Python.mp4 |
45.97Мб |
| 010 Introduction.en.srt |
2.26Кб |
| 010 Introduction.mp4 |
13.81Мб |
| 011 Programming Explained in a Few Minutes.en.srt |
7.19Кб |
| 011 Programming Explained in a Few Minutes.mp4 |
44.75Мб |
| 012 Jupyter - Introduction.en.srt |
4.79Кб |
| 012 Jupyter - Introduction.mp4 |
31.16Мб |
| 013 Jupyter - Installing Anaconda.en.srt |
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| 013 Jupyter - Installing Anaconda.mp4 |
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| 014 Jupyter - Intro to Using Jupyter.en.srt |
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| 014 Jupyter - Intro to Using Jupyter.mp4 |
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| 015 Jupyter - Working with Notebook Files.en.srt |
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| 015 Jupyter - Working with Notebook Files.mp4 |
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| 016 Jupyter - Using Shortcuts.en.srt |
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| 016 Jupyter - Using Shortcuts.mp4 |
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| 017 Jupyter - Handling Error Messages.en.srt |
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| 017 Jupyter - Handling Error Messages.mp4 |
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| 018 Jupyter - Restarting the Kernel.en.srt |
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| 018 Jupyter - Restarting the Kernel.mp4 |
8.37Мб |
| 019 Python Variables.en.srt |
4.71Кб |
| 019 Python Variables.mp4 |
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| 020 Types of Data - Numbers and Boolean Values.en.srt |
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| 020 Types of Data - Numbers and Boolean Values.mp4 |
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| 021 Types of Data - Strings.en.srt |
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| 021 Types of Data - Strings.mp4 |
24.15Мб |
| 022 Basic Python Syntax - Arithmetic Operators.en.srt |
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| 022 Basic Python Syntax - Arithmetic Operators.mp4 |
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| 023 Basic Python Syntax - The Double Equality Sign.en.srt |
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| 023 Basic Python Syntax - The Double Equality Sign.mp4 |
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| 024 Basic Python Syntax - Reassign Values.en.srt |
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| 024 Basic Python Syntax - Reassign Values.mp4 |
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| 025 Basic Python Syntax - Add Comments.en.srt |
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| 025 Basic Python Syntax - Add Comments.mp4 |
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| 026 Basic Python Syntax - Line Continuation.en.srt |
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| 026 Basic Python Syntax - Line Continuation.mp4 |
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| 027 Basic Python Syntax - Indexing Elements.en.srt |
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| 027 Basic Python Syntax - Indexing Elements.mp4 |
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| 028 Basic Python Syntax - Indentation.en.srt |
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| 028 Basic Python Syntax - Indentation.mp4 |
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| 029 Operators - Comparison Operators.en.srt |
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| 029 Operators - Comparison Operators.mp4 |
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| 030 Operators - Logical and Identity Operators.en.srt |
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| 030 Operators - Logical and Identity Operators.mp4 |
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| 031 Conditional Statements - The IF Statement.en.srt |
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| 031 Conditional Statements - The IF Statement.mp4 |
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| 032 Conditional Statements - The ELSE Statement.en.srt |
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| 032 Conditional Statements - The ELSE Statement.mp4 |
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| 033 Conditional Statements - The ELIF Statement.en.srt |
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| 033 Conditional Statements - The ELIF Statement.mp4 |
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| 034 Conditional Statements - A Note on Boolean Values.en.srt |
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| 034 Conditional Statements - A Note on Boolean Values.mp4 |
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| 035 Functions - Defining a Function in Python.en.srt |
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| 035 Functions - Defining a Function in Python.mp4 |
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| 036 Functions - Creating a Function with a Parameter.en.srt |
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| 036 Functions - Creating a Function with a Parameter.mp4 |
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| 037 Functions - Another Way to Define a Function.en.srt |
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| 037 Functions - Another Way to Define a Function.mp4 |
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| 038 Functions - Using a Function in Another Function.en.srt |
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| 038 Functions - Using a Function in Another Function.mp4 |
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| 039 Functions - Combining Conditional Statements and Functions.en.srt |
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| 039 Functions - Combining Conditional Statements and Functions.mp4 |
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| 040 Functions - Creating Functions That Contain a Few Arguments.en.srt |
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| 040 Functions - Creating Functions That Contain a Few Arguments.mp4 |
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| 041 Functions - Notable Built-in Functions in Python.en.srt |
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| 041 Functions - Notable Built-in Functions in Python.mp4 |
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| 042 Sequences - Lists.en.srt |
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| 042 Sequences - Lists.mp4 |
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| 043 Sequences - Using Methods.en.srt |
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| 043 Sequences - Using Methods.mp4 |
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| 044 Sequences - List Slicing.en.srt |
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| 044 Sequences - List Slicing.mp4 |
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| 045 Sequences - Tuples.en.srt |
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| 045 Sequences - Tuples.mp4 |
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| 046 Sequences - Dictionaries.en.srt |
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| 046 Sequences - Dictionaries.mp4 |
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| 047 Iteration - For Loops.en.srt |
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| 047 Iteration - For Loops.mp4 |
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| 048 Iteration - While Loops and Incrementing.en.srt |
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| 048 Iteration - While Loops and Incrementing.mp4 |
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| 049 Iteration - Create Lists with the range() Function.en.srt |
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| 049 Iteration - Create Lists with the range() Function.mp4 |
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| 050 Iteration - Use Conditional Statements and Loops Together.en.srt |
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| 050 Iteration - Use Conditional Statements and Loops Together.mp4 |
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| 051 Iteration - Conditional Statements, Functions, and Loops.en.srt |
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| 051 Iteration - Conditional Statements, Functions, and Loops.mp4 |
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| 052 Iteration - Iterating over Dictionaries.en.srt |
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| 052 Iteration - Iterating over Dictionaries.mp4 |
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| 053 Object-Oriented Programming (OOP).en.srt |
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| 053 Object-Oriented Programming (OOP).mp4 |
26.39Мб |
| 054 Modules, Packages, and the Python Standard Library.en.srt |
6.84Кб |
| 054 Modules, Packages, and the Python Standard Library.mp4 |
40.43Мб |
| 055 Importing Modules.en.srt |
4.81Кб |
| 055 Importing Modules.mp4 |
13.15Мб |
| 056 Introduction to Using NumPy and pandas.en.srt |
14.33Кб |
| 056 Introduction to Using NumPy and pandas.mp4 |
57.56Мб |
| 057 What is Software Documentation_.en.srt |
6.60Кб |
| 057 What is Software Documentation_.mp4 |
41.16Мб |
| 058 The Python Documentation.en.srt |
9.89Кб |
| 058 The Python Documentation.mp4 |
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| 059 What Is а Matrix_.en.srt |
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| 059 What Is а Matrix_.mp4 |
26.78Мб |
| 060 Scalars and Vectors.en.srt |
3.99Кб |
| 060 Scalars and Vectors.mp4 |
25.84Мб |
| 061 Linear Algebra and Geometry.en.srt |
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| 061 Linear Algebra and Geometry.mp4 |
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| 062 Arrays in Python.en.srt |
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| 062 Arrays in Python.mp4 |
23.87Мб |
| 063 What Is a Tensor_.en.srt |
3.83Кб |
| 063 What Is a Tensor_.mp4 |
20.06Мб |
| 064 Adding and Subtracting Matrices.en.srt |
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| 064 Adding and Subtracting Matrices.mp4 |
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| 065 Errors When Adding Matrices.en.srt |
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| 065 Errors When Adding Matrices.mp4 |
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| 066 Transpose.en.srt |
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| 066 Transpose.mp4 |
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| 067 Dot Product of Vectors.en.srt |
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| 067 Dot Product of Vectors.mp4 |
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| 068 Dot Product of Matrices.en.srt |
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| 068 Dot Product of Matrices.mp4 |
44.15Мб |
| 069 Why is Linear Algebra Useful.en.srt |
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| 069 Why is Linear Algebra Useful.mp4 |
121.20Мб |
| 070 The NumPy Package and Why We Use It.en.srt |
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| 070 The NumPy Package and Why We Use It.mp4 |
36.96Мб |
| 071 Installing_Upgrading NumPy.en.srt |
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| 071 Installing_Upgrading NumPy.mp4 |
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| 072 Ndarray.en.srt |
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| 072 Ndarray.mp4 |
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| 073 The NumPy Documentation.en.srt |
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| 073 The NumPy Documentation.mp4 |
36.98Мб |
| 074 NumPy Basics - Exercise.html |
1.70Кб |
| 075 Introduction to the pandas Library.en.srt |
8.51Кб |
| 075 Introduction to the pandas Library.mp4 |
51.53Мб |
| 076 Installing and Running pandas.en.srt |
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| 076 Installing and Running pandas.mp4 |
43.82Мб |
| 077 Introduction to pandas Series.en.srt |
10.98Кб |
| 077 Introduction to pandas Series.mp4 |
42.11Мб |
| 078 Working with Attributes in Python.en.srt |
7.90Кб |
| 078 Working with Attributes in Python.mp4 |
34.71Мб |
| 079 Using an Index in pandas.en.srt |
5.93Кб |
| 079 Using an Index in pandas.mp4 |
27.78Мб |
| 080 Label-based vs Position-based Indexing.en.srt |
7.00Кб |
| 080 Label-based vs Position-based Indexing.mp4 |
31.64Мб |
| 081 More on Working with Indices in Python.en.srt |
8.02Кб |
| 081 More on Working with Indices in Python.mp4 |
37.67Мб |
| 082 Using Methods in Python - Part I.en.srt |
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| 082 Using Methods in Python - Part I.mp4 |
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| 083 Using Methods in Python - Part II.en.srt |
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| 083 Using Methods in Python - Part II.mp4 |
20.46Мб |
| 084 Parameters vs Arguments.en.srt |
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| 084 Parameters vs Arguments.mp4 |
29.67Мб |
| 085 the pandas Documentation.en.srt |
14.08Кб |
| 085 the pandas Documentation.mp4 |
68.48Мб |
| 086 Introduction to pandas DataFrames.en.srt |
8.47Кб |
| 086 Introduction to pandas DataFrames.mp4 |
25.03Мб |
| 087 Creating DataFrames from Scratch - Part I.en.srt |
8.69Кб |
| 087 Creating DataFrames from Scratch - Part I.mp4 |
50.42Мб |
| 088 Creating DataFrames from Scratch - Part II.en.srt |
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| 088 Creating DataFrames from Scratch - Part II.mp4 |
40.81Мб |
| 089 Additional Notes on Using DataFrames.en.srt |
3.03Кб |
| 089 Additional Notes on Using DataFrames.mp4 |
17.22Мб |
| 090 pandas Basics - Conclusion.html |
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| 091 Working with Files in Python - An Introduction.en.srt |
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| 091 Working with Files in Python - An Introduction.mp4 |
29.18Мб |
| 092 File vs File Object, Read vs Parse.en.srt |
4.30Кб |
| 092 File vs File Object, Read vs Parse.mp4 |
23.82Мб |
| 093 Structured vs Semi-Structured and Unstructured Data.en.srt |
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| 093 Structured vs Semi-Structured and Unstructured Data.mp4 |
32.37Мб |
| 094 Data Connectivity through Text Files.en.srt |
4.76Кб |
| 094 Data Connectivity through Text Files.mp4 |
29.10Мб |
| 095 Principles of Importing Data in Python.en.srt |
7.73Кб |
| 095 Principles of Importing Data in Python.mp4 |
49.24Мб |
| 096 More on Text Files (_.txt vs _.csv).en.srt |
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| 096 More on Text Files (_.txt vs _.csv).mp4 |
29.33Мб |
| 097 Fixed-width Files.en.srt |
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| 097 Fixed-width Files.mp4 |
13.83Мб |
| 098 Common Naming Conventions Used in Programming.en.srt |
6.21Кб |
| 098 Common Naming Conventions Used in Programming.mp4 |
18.19Мб |
| 098 Data-Analyst-Common-Naming-Conventions.pdf |
643.80Кб |
| 099 Importing Text Files in Python ( open() ).en.srt |
13.96Кб |
| 099 Importing Text Files in Python ( open() ).mp4 |
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| 100 Importing Text Files in Python ( with open() ).en.srt |
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| 100 Importing Text Files in Python ( with open() ).mp4 |
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| 101 Importing _.csv Files with pandas - Part I.en.srt |
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| 101 Importing _.csv Files with pandas - Part I.mp4 |
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| 102 Importing _.csv Files with pandas - Part II.en.srt |
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| 102 Importing _.csv Files with pandas - Part II.mp4 |
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| 103 Importing _.csv Files with pandas - Part III.en.srt |
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| 103 Importing _.csv Files with pandas - Part III.mp4 |
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| 104 Importing Data with the _index_col_ Parameter.en.srt |
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| 104 Importing Data with the _index_col_ Parameter.mp4 |
22.30Мб |
| 105 Importing Data with NumPy - .loadtxt() vs genfromtxt().en.srt |
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| 105 Importing Data with NumPy - .loadtxt() vs genfromtxt().mp4 |
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| 106 Importing Data with NumPy - Partial Cleaning While Importing.en.srt |
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| 106 Importing Data with NumPy - Partial Cleaning While Importing.mp4 |
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| 107 Importing Data with NumPy - Exercise.html |
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| 108 Importing _.json Files.en.srt |
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| 108 Importing _.json Files.mp4 |
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| 109 Prelude to Working with Excel Files in Python.en.srt |
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| 109 Prelude to Working with Excel Files in Python.mp4 |
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| 110 Working with Excel Data (the _.xlsx Format).en.srt |
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| 110 Working with Excel Data (the _.xlsx Format).mp4 |
17.05Мб |
| 111 An Important Exercise on Importing Data in Python.en.srt |
8.78Кб |
| 111 An Important Exercise on Importing Data in Python.mp4 |
48.53Мб |
| 112 Importing Data with the pandas' _Squeeze_ Parameter.en.srt |
3.55Кб |
| 112 Importing Data with the pandas' _Squeeze_ Parameter.mp4 |
21.81Мб |
| 113 A Note on Importing Files in Jupyter.en.srt |
4.72Кб |
| 113 A Note on Importing Files in Jupyter.mp4 |
26.26Мб |
| 114 Saving Your Data with pandas.en.srt |
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| 114 Saving Your Data with pandas.mp4 |
28.77Мб |
| 115 Saving Your Data with NumPy - np.save().en.srt |
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| 115 Saving Your Data with NumPy - np.save().mp4 |
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| 116 Saving Your Data with NumPy - np.savez().en.srt |
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| 116 Saving Your Data with NumPy - np.savez().mp4 |
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| 117 Saving Your Data with NumPy - np.savetxt().en.srt |
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| 117 Saving Your Data with NumPy - np.savetxt().mp4 |
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| 118 Saving Your Data with NumPy - Exercise.html |
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| 119 Working with Text Files - Conclusion.en.srt |
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| 119 Working with Text Files - Conclusion.mp4 |
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| 120 Using the .format() Method.en.srt |
12.81Кб |
| 120 Using the .format() Method.mp4 |
47.62Мб |
| 121 Iterating Over Range Objects.en.srt |
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| 121 Iterating Over Range Objects.mp4 |
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| 122 Nested For Loops - Introduction.en.srt |
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| 122 Nested For Loops - Introduction.mp4 |
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| 123 Triple Nested For Loops.en.srt |
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| 123 Triple Nested For Loops.mp4 |
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| 124 List Comprehensions.en.srt |
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| 124 List Comprehensions.mp4 |
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| 125 Anonymous (Lambda) Functions.en.srt |
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| 125 Anonymous (Lambda) Functions.mp4 |
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| 126 What is data gathering_data collection_.en.srt |
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| 126 What is data gathering_data collection_.mp4 |
51.97Мб |
| 127 Overview of APIs.en.srt |
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| 127 Overview of APIs.mp4 |
32.22Мб |
| 128 GET and POST Requests.en.srt |
4.14Кб |
| 128 GET and POST Requests.mp4 |
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| 129 Data Exchange Format for APIs_ JSON.en.srt |
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| 129 Data Exchange Format for APIs_ JSON.mp4 |
22.26Мб |
| 130 Introducing the Exchange Rates API.en.srt |
6.37Кб |
| 130 Introducing the Exchange Rates API.mp4 |
36.43Мб |
| 131 Including Parameters in a GET Request.en.srt |
4.51Кб |
| 131 Including Parameters in a GET Request.mp4 |
21.64Мб |
| 132 More Functionalities of the Exchange Rates API.en.srt |
6.13Кб |
| 132 More Functionalities of the Exchange Rates API.mp4 |
32.42Мб |
| 133 Coding a Simple Currency Conversion Calculator.en.srt |
6.43Кб |
| 133 Coding a Simple Currency Conversion Calculator.mp4 |
28.73Мб |
| 134 iTunes API.en.srt |
6.13Кб |
| 134 iTunes API.mp4 |
40.75Мб |
| 135 iTunes API_ Homework.html |
1.12Кб |
| 136 iTunes API_ Structuring and Exporting the Data.en.srt |
3.02Кб |
| 136 iTunes API_ Structuring and Exporting the Data.mp4 |
19.79Мб |
| 137 Pagination_ GitHub API.en.srt |
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| 137 Pagination_ GitHub API.mp4 |
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| 138 APIs_ Exercise.html |
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| 139 Data Cleaning and Data Preprocessing.en.srt |
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| 139 Data Cleaning and Data Preprocessing.mp4 |
51.14Мб |
| 140 .unique(), .nunique().en.srt |
5.61Кб |
| 140 .unique(), .nunique().mp4 |
27.79Мб |
| 141 Converting Series into Arrays.en.srt |
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| 141 Converting Series into Arrays.mp4 |
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| 142 .sort_values().en.srt |
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| 142 .sort_values().mp4 |
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| 143 Attribute and Method Chaining.en.srt |
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| 143 Attribute and Method Chaining.mp4 |
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| 144 .sort_index().en.srt |
6.06Кб |
| 144 .sort_index().mp4 |
29.35Мб |
| 145 A Revision to pandas DataFrames.en.srt |
7.75Кб |
| 145 A Revision to pandas DataFrames.mp4 |
35.90Мб |
| 146 Common Attributes for Working with DataFrames.en.srt |
6.60Кб |
| 146 Common Attributes for Working with DataFrames.mp4 |
33.79Мб |
| 147 Data Selection in pandas DataFrames.en.srt |
10.33Кб |
| 147 Data Selection in pandas DataFrames.mp4 |
50.08Мб |
| 148 Data Selection - Indexing with .iloc[].en.srt |
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| 148 Data Selection - Indexing with .iloc[].mp4 |
41.37Мб |
| 149 Data Selection - Indexing with .loc[].en.srt |
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| 149 Data Selection - Indexing with .loc[].mp4 |
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| 150 A Few Comments on Using .loc[] and .iloc[].en.srt |
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| 150 A Few Comments on Using .loc[] and .iloc[].mp4 |
105.68Мб |
| 151 Indexing in NumPy.en.srt |
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| 151 Indexing in NumPy.mp4 |
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| 152 Assigning Values in NumPy.en.srt |
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| 152 Assigning Values in NumPy.mp4 |
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| 153 Elementwise Properties of Arrays.en.srt |
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| 153 Elementwise Properties of Arrays.mp4 |
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| 154 Types of Data Supported by NumPy.en.srt |
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| 154 Types of Data Supported by NumPy.mp4 |
37.16Мб |
| 155 Characteristics of NumPy Functions Part 1.en.srt |
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| 155 Characteristics of NumPy Functions Part 1.mp4 |
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| 156 Characteristics of NumPy Functions Part 2.en.srt |
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| 156 Characteristics of NumPy Functions Part 2.mp4 |
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| 157 NumPy Fundamentals - Exercise.html |
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| 158 ndarrays.en.srt |
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| 158 ndarrays.mp4 |
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| 159 Arrays vs Lists.en.srt |
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| 159 Arrays vs Lists.mp4 |
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| 160 Strings vs Object vs Number.en.srt |
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| 160 Strings vs Object vs Number.mp4 |
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| 161 NumPy DataTypes - Exercise.html |
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| 162 Basic Slicing in NumPy.en.srt |
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| 162 Basic Slicing in NumPy.mp4 |
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| 163 Stepwise Slicing in NumPy.en.srt |
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| 163 Stepwise Slicing in NumPy.mp4 |
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| 164 Conditional Slicing in NumPy.en.srt |
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| 164 Conditional Slicing in NumPy.mp4 |
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| 165 Dimensions and the Squeeze Function.en.srt |
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| 165 Dimensions and the Squeeze Function.mp4 |
33.78Мб |
| 166 Working with Arrays - Exercise.html |
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| 167 Arrays of 0s and 1s.en.srt |
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| 167 Arrays of 0s and 1s.mp4 |
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| 168 __like_ functions in NumPy.en.srt |
4.85Кб |
| 168 __like_ functions in NumPy.mp4 |
17.41Мб |
| 169 A Non-Random Sequence of Numbers.en.srt |
7.42Кб |
| 169 A Non-Random Sequence of Numbers.mp4 |
25.60Мб |
| 170 Random Generators and Seeds.en.srt |
7.97Кб |
| 170 Random Generators and Seeds.mp4 |
35.36Мб |
| 171 Basic Random Functions in NumPy.en.srt |
5.90Кб |
| 171 Basic Random Functions in NumPy.mp4 |
26.01Мб |
| 172 Probability Distributions in NumPy.en.srt |
7.97Кб |
| 172 Probability Distributions in NumPy.mp4 |
36.32Мб |
| 173 Applications of Random Data in NumPy.en.srt |
5.88Кб |
| 173 Applications of Random Data in NumPy.mp4 |
33.35Мб |
| 174 Generating Data with NumPy - Exercise.html |
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| 175 Using Statistical Functions in NumPy.en.srt |
11.96Кб |
| 175 Using Statistical Functions in NumPy.mp4 |
44.04Мб |
| 176 Minimal and Maximal Values in NumPy.en.srt |
9.00Кб |
| 176 Minimal and Maximal Values in NumPy.mp4 |
36.12Мб |
| 177 Statistical Order Functions in NumPy.en.srt |
9.34Кб |
| 177 Statistical Order Functions in NumPy.mp4 |
35.54Мб |
| 178 Averages and Variance in NumPy.en.srt |
6.55Кб |
| 178 Averages and Variance in NumPy.mp4 |
25.31Мб |
| 179 Covariance and Correlation in NumPy.en.srt |
4.47Кб |
| 179 Covariance and Correlation in NumPy.mp4 |
20.33Мб |
| 180 Histograms in NumPy (Part 1).en.srt |
11.53Кб |
| 180 Histograms in NumPy (Part 1).mp4 |
43.67Мб |
| 181 Histograms in NumPy (Part 2).en.srt |
6.37Кб |
| 181 Histograms in NumPy (Part 2).mp4 |
24.21Мб |
| 182 NAN Equivalent Functions in NumPy.en.srt |
4.44Кб |
| 182 NAN Equivalent Functions in NumPy.mp4 |
19.42Мб |
| 183 Statistics with NumPy - Exercise.html |
1.99Кб |
| 184 Checking for Missing Values in Ndarrays.en.srt |
12.96Кб |
| 184 Checking for Missing Values in Ndarrays.mp4 |
51.94Мб |
| 185 Substituting Missing Values in Ndarrays.en.srt |
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| 185 Substituting Missing Values in Ndarrays.mp4 |
42.57Мб |
| 186 Reshaping Ndarrays.en.srt |
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| 186 Reshaping Ndarrays.mp4 |
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| 187 Removing Values from Ndarrays.en.srt |
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| 187 Removing Values from Ndarrays.mp4 |
25.29Мб |
| 188 Sorting Ndarrays.en.srt |
13.52Кб |
| 188 Sorting Ndarrays.mp4 |
59.54Мб |
| 189 Argument Sort in NumPy.en.srt |
7.60Кб |
| 189 Argument Sort in NumPy.mp4 |
38.36Мб |
| 190 Argument Where in NumPy.en.srt |
15.73Кб |
| 190 Argument Where in NumPy.mp4 |
66.26Мб |
| 191 Shuffling Ndarrays.en.srt |
10.03Кб |
| 191 Shuffling Ndarrays.mp4 |
42.56Мб |
| 192 Casting Ndarrays.en.srt |
7.97Кб |
| 192 Casting Ndarrays.mp4 |
45.61Мб |
| 193 Striping Values from Ndarrays.en.srt |
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| 193 Striping Values from Ndarrays.mp4 |
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| 194 Stacking Ndarrays.en.srt |
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| 194 Stacking Ndarrays.mp4 |
74.54Мб |
| 195 Concatenating Ndarrays.en.srt |
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| 195 Concatenating Ndarrays.mp4 |
47.82Мб |
| 196 Finding Unique Values in Ndarrays.en.srt |
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| 196 Finding Unique Values in Ndarrays.mp4 |
35.53Мб |
| 197 Setting Up_ Introduction to the Practical Example.en.srt |
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| 197 Setting Up_ Introduction to the Practical Example.mp4 |
52.12Мб |
| 198 Setting Up_ Importing the Data Set.en.srt |
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| 198 Setting Up_ Importing the Data Set.mp4 |
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| 199 Setting Up_ Checking for Incomplete Data.en.srt |
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| 199 Setting Up_ Checking for Incomplete Data.mp4 |
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| 200 Setting Up_ Splitting the Dataset.en.srt |
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| 200 Setting Up_ Splitting the Dataset.mp4 |
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| 201 Setting Up_ Creating Checkpoints.en.srt |
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| 201 Setting Up_ Creating Checkpoints.mp4 |
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| 202 Manipulating Text Data_ Issue Date.en.srt |
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| 202 Manipulating Text Data_ Issue Date.mp4 |
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| 203 Manipulating Text Data_ Loan Status and Term.en.srt |
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| 203 Manipulating Text Data_ Loan Status and Term.mp4 |
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| 204 Manipulating Text Data_ Grade and Sub Grade.en.srt |
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| 204 Manipulating Text Data_ Grade and Sub Grade.mp4 |
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| 205 Manipulating Text Data_ Verification Status & URL.en.srt |
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| 205 Manipulating Text Data_ Verification Status & URL.mp4 |
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| 206 Manipulating Text Data_ State Address.en.srt |
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| 206 Manipulating Text Data_ State Address.mp4 |
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| 207 Manipulating Text Data_ Converting Strings and Creating a Checkpoint.en.srt |
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| 207 Manipulating Text Data_ Converting Strings and Creating a Checkpoint.mp4 |
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| 208 Manipulating Numeric Data_ Substitute Filler Values.en.srt |
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| 208 Manipulating Numeric Data_ Substitute Filler Values.mp4 |
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| 209 Manipulating Numeric Data_ Currency Change – The Exchange Rate.en.srt |
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| 209 Manipulating Numeric Data_ Currency Change – The Exchange Rate.mp4 |
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| 210 Manipulating Numeric Data_ Currency Change - From USD to EUR.en.srt |
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| 210 Manipulating Numeric Data_ Currency Change - From USD to EUR.mp4 |
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| 211 Completing the Dataset.en.srt |
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| 211 Completing the Dataset.mp4 |
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| 212 An Introduction to the _Absenteeism_ Exercise.en.srt |
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| 212 An Introduction to the _Absenteeism_ Exercise.mp4 |
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| 213 The _Absenteeism_ Exercise from a Business Perspective.en.srt |
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| 213 The _Absenteeism_ Exercise from a Business Perspective.mp4 |
19.77Мб |
| 214 The Dataset.en.srt |
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| 214 The Dataset.mp4 |
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| 215 How to Complete the Absenteeism Exercise.en.srt |
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| 215 How to Complete the Absenteeism Exercise.mp4 |
18.13Мб |
| 216 Eyeball Your Data First.en.srt |
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| 216 Eyeball Your Data First.mp4 |
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| 217 Note_ Programming vs the Rest of the World.en.srt |
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| 217 Note_ Programming vs the Rest of the World.mp4 |
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| 218 Using a Statistical Approach to Solve Our Exercise.en.srt |
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| 218 Using a Statistical Approach to Solve Our Exercise.mp4 |
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| 219 Dropping the 'ID' Column.en.srt |
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| 219 Dropping the 'ID' Column.mp4 |
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| 220 Analysis of the 'Reason for Absence' Column.en.srt |
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| 220 Analysis of the 'Reason for Absence' Column.mp4 |
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| 221 Splitting the Reasons for Absence into Multiple Dummy Variables.en.srt |
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| 221 Splitting the Reasons for Absence into Multiple Dummy Variables.mp4 |
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| 222 Working with Dummy Variables - A Statistical Perspective.en.srt |
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| 222 Working with Dummy Variables - A Statistical Perspective.mp4 |
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| 223 Grouping the Reason for Absence Columns.en.srt |
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| 223 Grouping the Reason for Absence Columns.mp4 |
66.00Мб |
| 224 Concatenating Columns in a pandas DataFrame.en.srt |
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| 224 Concatenating Columns in a pandas DataFrame.mp4 |
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| 225 Reordering Columns in a DataFrame.en.srt |
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| 225 Reordering Columns in a DataFrame.mp4 |
12.38Мб |
| 226 Working on the 'Date' Column.en.srt |
8.86Кб |
| 226 Working on the 'Date' Column.mp4 |
50.22Мб |
| 227 Extracting the Month Value from the 'Date' Column.en.srt |
8.24Кб |
| 227 Extracting the Month Value from the 'Date' Column.mp4 |
41.91Мб |
| 228 Creating the 'Day of the Week' Column.en.srt |
4.51Кб |
| 228 Creating the 'Day of the Week' Column.mp4 |
24.90Мб |
| 229 Understanding the Meaning of 5 More Columns.en.srt |
4.60Кб |
| 229 Understanding the Meaning of 5 More Columns.mp4 |
25.90Мб |
| 230 Modifying the 'Education' Column.en.srt |
5.86Кб |
| 230 Modifying the 'Education' Column.mp4 |
34.53Мб |
| 231 Final Remarks on the Absenteeism Exercise.en.srt |
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| 231 Final Remarks on the Absenteeism Exercise.mp4 |
17.85Мб |
| 232 What Is Data Visualization and Why Is It Important_.en.srt |
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| 232 What Is Data Visualization and Why Is It Important_.mp4 |
35.40Мб |
| 233 Why Learn Data Visualization_.en.srt |
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| 233 Why Learn Data Visualization_.mp4 |
69.71Мб |
| 234 Choosing the Right Visualization – What Are Some Popular Approaches and Framewor.en.srt |
9.46Кб |
| 234 Choosing the Right Visualization – What Are Some Popular Approaches and Framewor.mp4 |
66.20Мб |
| 235 Introduction into Colors and Color Theory.en.srt |
12.20Кб |
| 235 Introduction into Colors and Color Theory.mp4 |
85.10Мб |
| 236 Bar Chart - Introduction - General Theory and Getting to Know the Dataset.en.srt |
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| 236 Bar Chart - Introduction - General Theory and Getting to Know the Dataset.mp4 |
17.37Мб |
| 237 Bar Chart - How to Create a Bar Chart Using Python.en.srt |
13.69Кб |
| 237 Bar Chart - How to Create a Bar Chart Using Python.mp4 |
70.00Мб |
| 238 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph.en.srt |
3.79Кб |
| 238 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph.mp4 |
22.18Мб |
| 239 Pie Chart - Introduction - General Theory and Dataset.en.srt |
5.76Кб |
| 239 Pie Chart - Introduction - General Theory and Dataset.mp4 |
33.05Мб |
| 240 Pie Chart - How to Create a Pie Chart Using Python.en.srt |
7.15Кб |
| 240 Pie Chart - How to Create a Pie Chart Using Python.mp4 |
35.48Мб |
| 241 Pie Chart – Interpreting the Pie Chart.en.srt |
2.10Кб |
| 241 Pie Chart – Interpreting the Pie Chart.mp4 |
15.35Мб |
| 242 Pie Chart - Why You Should Never Create a Pie Graph.en.srt |
9.79Кб |
| 242 Pie Chart - Why You Should Never Create a Pie Graph.mp4 |
68.97Мб |
| 243 Stacked Area Chart - Introduction - General Theory. Getting to Know the Dataset.en.srt |
4.46Кб |
| 243 Stacked Area Chart - Introduction - General Theory. Getting to Know the Dataset.mp4 |
24.36Мб |
| 244 Stacked Area Chart - How to Create a Stacked Area Chart Using Python.en.srt |
8.14Кб |
| 244 Stacked Area Chart - How to Create a Stacked Area Chart Using Python.mp4 |
49.78Мб |
| 245 Stacked Area Chart - Interpreting the Stacked Area Graph.en.srt |
3.54Кб |
| 245 Stacked Area Chart - Interpreting the Stacked Area Graph.mp4 |
22.75Мб |
| 246 Stacked Area Chart - How to Make a Good Stacked Area Chart.en.srt |
5.44Кб |
| 246 Stacked Area Chart - How to Make a Good Stacked Area Chart.mp4 |
34.73Мб |
| 247 Line Chart - Introduction - General Theory. Getting to Know the Dataset.en.srt |
2.79Кб |
| 247 Line Chart - Introduction - General Theory. Getting to Know the Dataset.mp4 |
17.11Мб |
| 248 Line Chart - How to Create a Line Chart in Python.en.srt |
8.41Кб |
| 248 Line Chart - How to Create a Line Chart in Python.mp4 |
52.25Мб |
| 249 Line Chart - Interpretation.en.srt |
4.19Кб |
| 249 Line Chart - Interpretation.mp4 |
33.21Мб |
| 250 Line Chart - How to Make a Good Line Chart.en.srt |
9.27Кб |
| 250 Line Chart - How to Make a Good Line Chart.mp4 |
63.37Мб |
| 251 Histogram - Introduction - General Theory. Getting to Know the Dataset.en.srt |
6.23Кб |
| 251 Histogram - Introduction - General Theory. Getting to Know the Dataset.mp4 |
29.46Мб |
| 252 Histogram - How to Create a Histogram Using Python.en.srt |
6.06Кб |
| 252 Histogram - How to Create a Histogram Using Python.mp4 |
28.15Мб |
| 253 Histogram – Interpreting the Histogram.en.srt |
2.73Кб |
| 253 Histogram – Interpreting the Histogram.mp4 |
16.23Мб |
| 254 Histogram – Choosing the Number of Bins in a Histogram.en.srt |
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| 254 Histogram – Choosing the Number of Bins in a Histogram.mp4 |
43.93Мб |
| 255 Histogram - How to Make a Good Histogram.en.srt |
6.79Кб |
| 255 Histogram - How to Make a Good Histogram.mp4 |
30.65Мб |
| 256 Scatter Plot - Introduction - General Theory. Getting to Know the Dataset.en.srt |
3.62Кб |
| 256 Scatter Plot - Introduction - General Theory. Getting to Know the Dataset.mp4 |
20.39Мб |
| 257 Scatter Plot - How to Create a Scatter Plot Using Python.en.srt |
9.63Кб |
| 257 Scatter Plot - How to Create a Scatter Plot Using Python.mp4 |
53.48Мб |
| 258 Scatter Plot – Interpreting the Scatter Plot.en.srt |
4.04Кб |
| 258 Scatter Plot – Interpreting the Scatter Plot.mp4 |
22.76Мб |
| 259 Scatter Plot - How to Make a Good Scatter Plot.en.srt |
4.45Кб |
| 259 Scatter Plot - How to Make a Good Scatter Plot.mp4 |
27.85Мб |
| 260 Regression Plot - Introduction - General Theory. Getting to Know the Dataset.en.srt |
3.96Кб |
| 260 Regression Plot - Introduction - General Theory. Getting to Know the Dataset.mp4 |
24.38Мб |
| 261 Regression Plot - How to Create a Regression Scatter Plot Using Python.en.srt |
8.02Кб |
| 261 Regression Plot - How to Create a Regression Scatter Plot Using Python.mp4 |
50.19Мб |
| 262 Regression Plot – Interpreting the Regression Scatter Plot.en.srt |
6.00Кб |
| 262 Regression Plot – Interpreting the Regression Scatter Plot.mp4 |
37.17Мб |
| 263 Regression Plot - How to Make a Good Regression Plot.en.srt |
4.54Кб |
| 263 Regression Plot - How to Make a Good Regression Plot.mp4 |
29.58Мб |
| 264 Bar and Line Chart - Introduction - General Theory. Getting to Know the Dataset.en.srt |
4.45Кб |
| 264 Bar and Line Chart - Introduction - General Theory. Getting to Know the Dataset.mp4 |
26.41Мб |
| 265 Bar and Line Chart - How to Create a Combination Bar and Line Graph Using Python.en.srt |
8.79Кб |
| 265 Bar and Line Chart - How to Create a Combination Bar and Line Graph Using Python.mp4 |
45.66Мб |
| 266 Bar and Line Chart – Interpreting the Combination Bar and Line Graph.en.srt |
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| 266 Bar and Line Chart – Interpreting the Combination Bar and Line Graph.mp4 |
22.81Мб |
| 267 Bar and Line Chart – How to Make a Good Bar and Line Graph.en.srt |
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| 267 Bar and Line Chart – How to Make a Good Bar and Line Graph.mp4 |
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| 268 Data Visualization - Exercise.html |
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| 269 Conclusion.en.srt |
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| 269 Conclusion.mp4 |
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