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[FreeCourseSite.com] Udemy - The Data Analyst Course Complete Data Analyst Bootcamp 2021

Magnet Download Download Torrent
File Name
Size
0. Websites you may like/[CourseClub.ME].url
122 B
0. Websites you may like/[FCS Forum].url
133 B
0. Websites you may like/[FreeCourseSite.com].url
127 B
01 Introduction to the Course/001 A Practical Example - What Will You Learn in This Course_.en.srt
7.4 kB
01 Introduction to the Course/001 A Practical Example - What Will You Learn in This Course_.mp4
58 MB
01 Introduction to the Course/002 What Does the Course Cover_.en.srt
8.8 kB
01 Introduction to the Course/002 What Does the Course Cover_.mp4
61 MB
01 Introduction to the Course/003 Download All Resources.html
1.7 kB
01 Introduction to the Course/004 FAQ.html
19 kB
02 Introduction to Data Analytics/005 Introduction to the World of Business and Data.en.srt
3.8 kB
02 Introduction to Data Analytics/005 Introduction to the World of Business and Data.mp4
28 MB
02 Introduction to Data Analytics/006 Relevant Terms Explained.en.srt
8.6 kB
02 Introduction to Data Analytics/006 Relevant Terms Explained.mp4
53 MB
02 Introduction to Data Analytics/007 Data Analyst Compared to Other Data Jobs.en.srt
3.6 kB
02 Introduction to Data Analytics/007 Data Analyst Compared to Other Data Jobs.mp4
28 MB
02 Introduction to Data Analytics/008 Data Analyst Job Description.en.srt
8.6 kB
02 Introduction to Data Analytics/008 Data Analyst Job Description.mp4
68 MB
02 Introduction to Data Analytics/009 Why Python.en.srt
7.7 kB
02 Introduction to Data Analytics/009 Why Python.mp4
46 MB
03 Setting up the Environment/010 Introduction.en.srt
2.3 kB
03 Setting up the Environment/010 Introduction.mp4
14 MB
03 Setting up the Environment/011 Programming Explained in a Few Minutes.en.srt
7.2 kB
03 Setting up the Environment/011 Programming Explained in a Few Minutes.mp4
45 MB
03 Setting up the Environment/012 Jupyter - Introduction.en.srt
4.8 kB
03 Setting up the Environment/012 Jupyter - Introduction.mp4
31 MB
03 Setting up the Environment/013 Jupyter - Installing Anaconda.en.srt
5.9 kB
03 Setting up the Environment/013 Jupyter - Installing Anaconda.mp4
30 MB
03 Setting up the Environment/014 Jupyter - Intro to Using Jupyter.en.srt
3.8 kB
03 Setting up the Environment/014 Jupyter - Intro to Using Jupyter.mp4
12 MB
03 Setting up the Environment/015 Jupyter - Working with Notebook Files.en.srt
7.9 kB
03 Setting up the Environment/015 Jupyter - Working with Notebook Files.mp4
24 MB
03 Setting up the Environment/016 Jupyter - Using Shortcuts.en.srt
4.8 kB
03 Setting up the Environment/016 Jupyter - Using Shortcuts.mp4
17 MB
03 Setting up the Environment/017 Jupyter - Handling Error Messages.en.srt
9.2 kB
03 Setting up the Environment/017 Jupyter - Handling Error Messages.mp4
40 MB
03 Setting up the Environment/018 Jupyter - Restarting the Kernel.en.srt
2.7 kB
03 Setting up the Environment/018 Jupyter - Restarting the Kernel.mp4
8.4 MB
03 Setting up the Environment/external-assets-links.txt
254 B
04 Python Basics/019 Python Variables.en.srt
4.7 kB
04 Python Basics/019 Python Variables.mp4
14 MB
04 Python Basics/020 Types of Data - Numbers and Boolean Values.en.srt
3.7 kB
04 Python Basics/020 Types of Data - Numbers and Boolean Values.mp4
14 MB
04 Python Basics/021 Types of Data - Strings.en.srt
7.4 kB
04 Python Basics/021 Types of Data - Strings.mp4
24 MB
04 Python Basics/022 Basic Python Syntax - Arithmetic Operators.en.srt
4.5 kB
04 Python Basics/022 Basic Python Syntax - Arithmetic Operators.mp4
15 MB
04 Python Basics/023 Basic Python Syntax - The Double Equality Sign.en.srt
1.8 kB
04 Python Basics/023 Basic Python Syntax - The Double Equality Sign.mp4
5.0 MB
04 Python Basics/024 Basic Python Syntax - Reassign Values.en.srt
1.4 kB
04 Python Basics/024 Basic Python Syntax - Reassign Values.mp4
3.3 MB
04 Python Basics/025 Basic Python Syntax - Add Comments.en.srt
1.9 kB
04 Python Basics/025 Basic Python Syntax - Add Comments.mp4
4.7 MB
04 Python Basics/026 Basic Python Syntax - Line Continuation.en.srt
1.2 kB
04 Python Basics/026 Basic Python Syntax - Line Continuation.mp4
2.1 MB
04 Python Basics/027 Basic Python Syntax - Indexing Elements.en.srt
1.7 kB
04 Python Basics/027 Basic Python Syntax - Indexing Elements.mp4
4.9 MB
04 Python Basics/028 Basic Python Syntax - Indentation.en.srt
2.3 kB
04 Python Basics/028 Basic Python Syntax - Indentation.mp4
5.5 MB
04 Python Basics/029 Operators - Comparison Operators.en.srt
2.6 kB
04 Python Basics/029 Operators - Comparison Operators.mp4
8.2 MB
04 Python Basics/030 Operators - Logical and Identity Operators.en.srt
6.1 kB
04 Python Basics/030 Operators - Logical and Identity Operators.mp4
24 MB
04 Python Basics/031 Conditional Statements - The IF Statement.en.srt
3.7 kB
04 Python Basics/031 Conditional Statements - The IF Statement.mp4
11 MB
04 Python Basics/032 Conditional Statements - The ELSE Statement.en.srt
3.2 kB
04 Python Basics/032 Conditional Statements - The ELSE Statement.mp4
11 MB
04 Python Basics/033 Conditional Statements - The ELIF Statement.en.srt
6.9 kB
04 Python Basics/033 Conditional Statements - The ELIF Statement.mp4
25 MB
04 Python Basics/034 Conditional Statements - A Note on Boolean Values.en.srt
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04 Python Basics/034 Conditional Statements - A Note on Boolean Values.mp4
8.9 MB
04 Python Basics/035 Functions - Defining a Function in Python.en.srt
2.5 kB
04 Python Basics/035 Functions - Defining a Function in Python.mp4
6.3 MB
04 Python Basics/036 Functions - Creating a Function with a Parameter.en.srt
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04 Python Basics/036 Functions - Creating a Function with a Parameter.mp4
18 MB
04 Python Basics/037 Functions - Another Way to Define a Function.en.srt
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04 Python Basics/037 Functions - Another Way to Define a Function.mp4
11 MB
04 Python Basics/038 Functions - Using a Function in Another Function.en.srt
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04 Python Basics/038 Functions - Using a Function in Another Function.mp4
6.5 MB
04 Python Basics/039 Functions - Combining Conditional Statements and Functions.en.srt
3.8 kB
04 Python Basics/039 Functions - Combining Conditional Statements and Functions.mp4
13 MB
04 Python Basics/040 Functions - Creating Functions That Contain a Few Arguments.en.srt
1.4 kB
04 Python Basics/040 Functions - Creating Functions That Contain a Few Arguments.mp4
6.0 MB
04 Python Basics/041 Functions - Notable Built-in Functions in Python.en.srt
4.5 kB
04 Python Basics/041 Functions - Notable Built-in Functions in Python.mp4
18 MB
04 Python Basics/042 Sequences - Lists.en.srt
5.1 kB
04 Python Basics/042 Sequences - Lists.mp4
18 MB
04 Python Basics/043 Sequences - Using Methods.en.srt
4.2 kB
04 Python Basics/043 Sequences - Using Methods.mp4
17 MB
04 Python Basics/044 Sequences - List Slicing.en.srt
5.4 kB
04 Python Basics/044 Sequences - List Slicing.mp4
24 MB
04 Python Basics/045 Sequences - Tuples.en.srt
3.5 kB
04 Python Basics/045 Sequences - Tuples.mp4
14 MB
04 Python Basics/046 Sequences - Dictionaries.en.srt
4.4 kB
04 Python Basics/046 Sequences - Dictionaries.mp4
19 MB
04 Python Basics/047 Iteration - For Loops.en.srt
3.6 kB
04 Python Basics/047 Iteration - For Loops.mp4
12 MB
04 Python Basics/048 Iteration - While Loops and Incrementing.en.srt
3.0 kB
04 Python Basics/048 Iteration - While Loops and Incrementing.mp4
13 MB
04 Python Basics/049 Iteration - Create Lists with the range() Function.en.srt
5.2 kB
04 Python Basics/049 Iteration - Create Lists with the range() Function.mp4
15 MB
04 Python Basics/050 Iteration - Use Conditional Statements and Loops Together.en.srt
3.9 kB
04 Python Basics/050 Iteration - Use Conditional Statements and Loops Together.mp4
13 MB
04 Python Basics/051 Iteration - Conditional Statements, Functions, and Loops.en.srt
2.4 kB
04 Python Basics/051 Iteration - Conditional Statements, Functions, and Loops.mp4
8.1 MB
04 Python Basics/052 Iteration - Iterating over Dictionaries.en.srt
3.8 kB
04 Python Basics/052 Iteration - Iterating over Dictionaries.mp4
13 MB
04 Python Basics/external-assets-links.txt
228 B
05 Fundamentals for Coding in Python/053 Object-Oriented Programming (OOP).en.srt
6.3 kB
05 Fundamentals for Coding in Python/053 Object-Oriented Programming (OOP).mp4
26 MB
05 Fundamentals for Coding in Python/054 Modules, Packages, and the Python Standard Library.en.srt
6.8 kB
05 Fundamentals for Coding in Python/054 Modules, Packages, and the Python Standard Library.mp4
40 MB
05 Fundamentals for Coding in Python/055 Importing Modules.en.srt
4.8 kB
05 Fundamentals for Coding in Python/055 Importing Modules.mp4
13 MB
05 Fundamentals for Coding in Python/056 Introduction to Using NumPy and pandas.en.srt
14 kB
05 Fundamentals for Coding in Python/056 Introduction to Using NumPy and pandas.mp4
58 MB
05 Fundamentals for Coding in Python/057 What is Software Documentation_.en.srt
6.6 kB
05 Fundamentals for Coding in Python/057 What is Software Documentation_.mp4
41 MB
05 Fundamentals for Coding in Python/058 The Python Documentation.en.srt
9.9 kB
05 Fundamentals for Coding in Python/058 The Python Documentation.mp4
50 MB
05 Fundamentals for Coding in Python/external-assets-links.txt
268 B
06 Mathematics for Python/059 What Is а Matrix_.en.srt
4.6 kB
06 Mathematics for Python/059 What Is а Matrix_.mp4
27 MB
06 Mathematics for Python/060 Scalars and Vectors.en.srt
4.0 kB
06 Mathematics for Python/060 Scalars and Vectors.mp4
26 MB
06 Mathematics for Python/061 Linear Algebra and Geometry.en.srt
4.2 kB
06 Mathematics for Python/061 Linear Algebra and Geometry.mp4
40 MB
06 Mathematics for Python/062 Arrays in Python.en.srt
6.1 kB
06 Mathematics for Python/062 Arrays in Python.mp4
24 MB
06 Mathematics for Python/063 What Is a Tensor_.en.srt
3.8 kB
06 Mathematics for Python/063 What Is a Tensor_.mp4
20 MB
06 Mathematics for Python/064 Adding and Subtracting Matrices.en.srt
4.2 kB
06 Mathematics for Python/064 Adding and Subtracting Matrices.mp4
29 MB
06 Mathematics for Python/065 Errors When Adding Matrices.en.srt
2.7 kB
06 Mathematics for Python/065 Errors When Adding Matrices.mp4
10 MB
06 Mathematics for Python/066 Transpose.en.srt
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06 Mathematics for Python/066 Transpose.mp4
33 MB
06 Mathematics for Python/067 Dot Product of Vectors.en.srt
4.5 kB
06 Mathematics for Python/067 Dot Product of Vectors.mp4
22 MB
06 Mathematics for Python/068 Dot Product of Matrices.en.srt
9.8 kB
06 Mathematics for Python/068 Dot Product of Matrices.mp4
44 MB
06 Mathematics for Python/069 Why is Linear Algebra Useful.en.srt
13 kB
06 Mathematics for Python/069 Why is Linear Algebra Useful.mp4
121 MB
06 Mathematics for Python/external-assets-links.txt
246 B
07 NumPy Basics/070 The NumPy Package and Why We Use It.en.srt
5.9 kB
07 NumPy Basics/070 The NumPy Package and Why We Use It.mp4
37 MB
07 NumPy Basics/071 Installing_Upgrading NumPy.en.srt
2.8 kB
07 NumPy Basics/071 Installing_Upgrading NumPy.mp4
9.1 MB
07 NumPy Basics/072 Ndarray.en.srt
4.3 kB
07 NumPy Basics/072 Ndarray.mp4
16 MB
07 NumPy Basics/073 The NumPy Documentation.en.srt
7.1 kB
07 NumPy Basics/073 The NumPy Documentation.mp4
37 MB
07 NumPy Basics/074 NumPy Basics - Exercise.html
1.7 kB
07 NumPy Basics/external-assets-links.txt
113 B
08 Pandas - Basics/075 Introduction to the pandas Library.en.srt
8.5 kB
08 Pandas - Basics/075 Introduction to the pandas Library.mp4
52 MB
08 Pandas - Basics/076 Installing and Running pandas.en.srt
8.1 kB
08 Pandas - Basics/076 Installing and Running pandas.mp4
44 MB
08 Pandas - Basics/077 Introduction to pandas Series.en.srt
11 kB
08 Pandas - Basics/077 Introduction to pandas Series.mp4
42 MB
08 Pandas - Basics/078 Working with Attributes in Python.en.srt
7.9 kB
08 Pandas - Basics/078 Working with Attributes in Python.mp4
35 MB
08 Pandas - Basics/079 Using an Index in pandas.en.srt
5.9 kB
08 Pandas - Basics/079 Using an Index in pandas.mp4
28 MB
08 Pandas - Basics/080 Label-based vs Position-based Indexing.en.srt
7.0 kB
08 Pandas - Basics/080 Label-based vs Position-based Indexing.mp4
32 MB
08 Pandas - Basics/081 More on Working with Indices in Python.en.srt
8.0 kB
08 Pandas - Basics/081 More on Working with Indices in Python.mp4
38 MB
08 Pandas - Basics/082 Using Methods in Python - Part I.en.srt
7.2 kB
08 Pandas - Basics/082 Using Methods in Python - Part I.mp4
36 MB
08 Pandas - Basics/083 Using Methods in Python - Part II.en.srt
3.9 kB
08 Pandas - Basics/083 Using Methods in Python - Part II.mp4
20 MB
08 Pandas - Basics/084 Parameters vs Arguments.en.srt
6.3 kB
08 Pandas - Basics/084 Parameters vs Arguments.mp4
30 MB
08 Pandas - Basics/085 the pandas Documentation.en.srt
14 kB
08 Pandas - Basics/085 the pandas Documentation.mp4
68 MB
08 Pandas - Basics/086 Introduction to pandas DataFrames.en.srt
8.5 kB
08 Pandas - Basics/086 Introduction to pandas DataFrames.mp4
25 MB
08 Pandas - Basics/087 Creating DataFrames from Scratch - Part I.en.srt
8.7 kB
08 Pandas - Basics/087 Creating DataFrames from Scratch - Part I.mp4
50 MB
08 Pandas - Basics/088 Creating DataFrames from Scratch - Part II.en.srt
7.4 kB
08 Pandas - Basics/088 Creating DataFrames from Scratch - Part II.mp4
41 MB
08 Pandas - Basics/089 Additional Notes on Using DataFrames.en.srt
3.0 kB
08 Pandas - Basics/089 Additional Notes on Using DataFrames.mp4
17 MB
08 Pandas - Basics/090 pandas Basics - Conclusion.html
1.9 kB
08 Pandas - Basics/external-assets-links.txt
362 B
09 Working with Text Files/091 Working with Files in Python - An Introduction.en.srt
6.0 kB
09 Working with Text Files/091 Working with Files in Python - An Introduction.mp4
29 MB
09 Working with Text Files/092 File vs File Object, Read vs Parse.en.srt
4.3 kB
09 Working with Text Files/092 File vs File Object, Read vs Parse.mp4
24 MB
09 Working with Text Files/093 Structured vs Semi-Structured and Unstructured Data.en.srt
5.1 kB
09 Working with Text Files/093 Structured vs Semi-Structured and Unstructured Data.mp4
32 MB
09 Working with Text Files/094 Data Connectivity through Text Files.en.srt
4.8 kB
09 Working with Text Files/094 Data Connectivity through Text Files.mp4
29 MB
09 Working with Text Files/095 Principles of Importing Data in Python.en.srt
7.7 kB
09 Working with Text Files/095 Principles of Importing Data in Python.mp4
49 MB
09 Working with Text Files/096 More on Text Files (_.txt vs _.csv).en.srt
6.9 kB
09 Working with Text Files/096 More on Text Files (_.txt vs _.csv).mp4
29 MB
09 Working with Text Files/097 Fixed-width Files.en.srt
2.4 kB
09 Working with Text Files/097 Fixed-width Files.mp4
14 MB
09 Working with Text Files/098 Common Naming Conventions Used in Programming.en.srt
6.2 kB
09 Working with Text Files/098 Common Naming Conventions Used in Programming.mp4
18 MB
09 Working with Text Files/098 Data-Analyst-Common-Naming-Conventions.pdf
644 kB
09 Working with Text Files/099 Importing Text Files in Python ( open() ).en.srt
14 kB
09 Working with Text Files/099 Importing Text Files in Python ( open() ).mp4
49 MB
09 Working with Text Files/100 Importing Text Files in Python ( with open() ).en.srt
7.8 kB
09 Working with Text Files/100 Importing Text Files in Python ( with open() ).mp4
33 MB
09 Working with Text Files/101 Importing _.csv Files with pandas - Part I.en.srt
8.9 kB
09 Working with Text Files/101 Importing _.csv Files with pandas - Part I.mp4
52 MB
09 Working with Text Files/102 Importing _.csv Files with pandas - Part II.en.srt
3.7 kB
09 Working with Text Files/102 Importing _.csv Files with pandas - Part II.mp4
24 MB
09 Working with Text Files/103 Importing _.csv Files with pandas - Part III.en.srt
9.6 kB
09 Working with Text Files/103 Importing _.csv Files with pandas - Part III.mp4
75 MB
09 Working with Text Files/104 Importing Data with the _index_col_ Parameter.en.srt
4.0 kB
09 Working with Text Files/104 Importing Data with the _index_col_ Parameter.mp4
22 MB
09 Working with Text Files/105 Importing Data with NumPy - .loadtxt() vs genfromtxt().en.srt
14 kB
09 Working with Text Files/105 Importing Data with NumPy - .loadtxt() vs genfromtxt().mp4
76 MB
09 Working with Text Files/106 Importing Data with NumPy - Partial Cleaning While Importing.en.srt
9.7 kB
09 Working with Text Files/106 Importing Data with NumPy - Partial Cleaning While Importing.mp4
60 MB
09 Working with Text Files/107 Importing Data with NumPy - Exercise.html
2.0 kB
09 Working with Text Files/108 Importing _.json Files.en.srt
7.7 kB
09 Working with Text Files/108 Importing _.json Files.mp4
81 MB
09 Working with Text Files/109 Prelude to Working with Excel Files in Python.en.srt
5.5 kB
09 Working with Text Files/109 Prelude to Working with Excel Files in Python.mp4
44 MB
09 Working with Text Files/110 Working with Excel Data (the _.xlsx Format).en.srt
2.9 kB
09 Working with Text Files/110 Working with Excel Data (the _.xlsx Format).mp4
17 MB
09 Working with Text Files/111 An Important Exercise on Importing Data in Python.en.srt
8.8 kB
09 Working with Text Files/111 An Important Exercise on Importing Data in Python.mp4
48 MB
09 Working with Text Files/112 Importing Data with the pandas' _Squeeze_ Parameter.en.srt
3.5 kB
09 Working with Text Files/112 Importing Data with the pandas' _Squeeze_ Parameter.mp4
22 MB
09 Working with Text Files/113 A Note on Importing Files in Jupyter.en.srt
4.7 kB
09 Working with Text Files/113 A Note on Importing Files in Jupyter.mp4
26 MB
09 Working with Text Files/114 Saving Your Data with pandas.en.srt
4.6 kB
09 Working with Text Files/114 Saving Your Data with pandas.mp4
29 MB
09 Working with Text Files/115 Saving Your Data with NumPy - np.save().en.srt
7.7 kB
09 Working with Text Files/115 Saving Your Data with NumPy - np.save().mp4
35 MB
09 Working with Text Files/116 Saving Your Data with NumPy - np.savez().en.srt
6.8 kB
09 Working with Text Files/116 Saving Your Data with NumPy - np.savez().mp4
30 MB
09 Working with Text Files/117 Saving Your Data with NumPy - np.savetxt().en.srt
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09 Working with Text Files/117 Saving Your Data with NumPy - np.savetxt().mp4
28 MB
09 Working with Text Files/118 Saving Your Data with NumPy - Exercise.html
2.1 kB
09 Working with Text Files/119 Working with Text Files - Conclusion.en.srt
1.1 kB
09 Working with Text Files/119 Working with Text Files - Conclusion.mp4
5.1 MB
09 Working with Text Files/external-assets-links.txt
1.3 kB
10 Working with Text Data/120 Using the .format() Method.en.srt
13 kB
10 Working with Text Data/120 Using the .format() Method.mp4
48 MB
10 Working with Text Data/external-assets-links.txt
124 B
11 Must-Know Python Tools/121 Iterating Over Range Objects.en.srt
6.3 kB
11 Must-Know Python Tools/121 Iterating Over Range Objects.mp4
22 MB
11 Must-Know Python Tools/122 Nested For Loops - Introduction.en.srt
8.6 kB
11 Must-Know Python Tools/122 Nested For Loops - Introduction.mp4
29 MB
11 Must-Know Python Tools/123 Triple Nested For Loops.en.srt
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11 Must-Know Python Tools/123 Triple Nested For Loops.mp4
47 MB
11 Must-Know Python Tools/124 List Comprehensions.en.srt
13 kB
11 Must-Know Python Tools/124 List Comprehensions.mp4
55 MB
11 Must-Know Python Tools/125 Anonymous (Lambda) Functions.en.srt
10 kB
11 Must-Know Python Tools/125 Anonymous (Lambda) Functions.mp4
38 MB
11 Must-Know Python Tools/external-assets-links.txt
246 B
12 Data Gathering_Data Collection/126 What is data gathering_data collection_.en.srt
11 kB
12 Data Gathering_Data Collection/126 What is data gathering_data collection_.mp4
52 MB
13 APIs (POST requests are not needed for this course)/127 Overview of APIs.en.srt
4.8 kB
13 APIs (POST requests are not needed for this course)/127 Overview of APIs.mp4
32 MB
13 APIs (POST requests are not needed for this course)/128 GET and POST Requests.en.srt
4.1 kB
13 APIs (POST requests are not needed for this course)/128 GET and POST Requests.mp4
24 MB
13 APIs (POST requests are not needed for this course)/129 Data Exchange Format for APIs_ JSON.en.srt
3.8 kB
13 APIs (POST requests are not needed for this course)/129 Data Exchange Format for APIs_ JSON.mp4
22 MB
13 APIs (POST requests are not needed for this course)/130 Introducing the Exchange Rates API.en.srt
6.4 kB
13 APIs (POST requests are not needed for this course)/130 Introducing the Exchange Rates API.mp4
36 MB
13 APIs (POST requests are not needed for this course)/131 Including Parameters in a GET Request.en.srt
4.5 kB
13 APIs (POST requests are not needed for this course)/131 Including Parameters in a GET Request.mp4
22 MB
13 APIs (POST requests are not needed for this course)/132 More Functionalities of the Exchange Rates API.en.srt
6.1 kB
13 APIs (POST requests are not needed for this course)/132 More Functionalities of the Exchange Rates API.mp4
32 MB
13 APIs (POST requests are not needed for this course)/133 Coding a Simple Currency Conversion Calculator.en.srt
6.4 kB
13 APIs (POST requests are not needed for this course)/133 Coding a Simple Currency Conversion Calculator.mp4
29 MB
13 APIs (POST requests are not needed for this course)/134 iTunes API.en.srt
6.1 kB
13 APIs (POST requests are not needed for this course)/134 iTunes API.mp4
41 MB
13 APIs (POST requests are not needed for this course)/135 iTunes API_ Homework.html
1.1 kB
13 APIs (POST requests are not needed for this course)/136 iTunes API_ Structuring and Exporting the Data.en.srt
3.0 kB
13 APIs (POST requests are not needed for this course)/136 iTunes API_ Structuring and Exporting the Data.mp4
20 MB
13 APIs (POST requests are not needed for this course)/137 Pagination_ GitHub API.en.srt
5.7 kB
13 APIs (POST requests are not needed for this course)/137 Pagination_ GitHub API.mp4
34 MB
13 APIs (POST requests are not needed for this course)/138 APIs_ Exercise.html
1.5 kB
13 APIs (POST requests are not needed for this course)/external-assets-links.txt
306 B
14 Data Cleaning and Data Preprocessing/139 Data Cleaning and Data Preprocessing.en.srt
9.0 kB
14 Data Cleaning and Data Preprocessing/139 Data Cleaning and Data Preprocessing.mp4
51 MB
15 pandas Series/140 .unique(), .nunique().en.srt
5.6 kB
15 pandas Series/140 .unique(), .nunique().mp4
28 MB
15 pandas Series/141 Converting Series into Arrays.en.srt
8.2 kB
15 pandas Series/141 Converting Series into Arrays.mp4
42 MB
15 pandas Series/142 .sort_values().en.srt
5.7 kB
15 pandas Series/142 .sort_values().mp4
28 MB
15 pandas Series/143 Attribute and Method Chaining.en.srt
6.5 kB
15 pandas Series/143 Attribute and Method Chaining.mp4
31 MB
15 pandas Series/144 .sort_index().en.srt
6.1 kB
15 pandas Series/144 .sort_index().mp4
29 MB
15 pandas Series/external-assets-links.txt
228 B
16 pandas DataFrames/145 A Revision to pandas DataFrames.en.srt
7.7 kB
16 pandas DataFrames/145 A Revision to pandas DataFrames.mp4
36 MB
16 pandas DataFrames/146 Common Attributes for Working with DataFrames.en.srt
6.6 kB
16 pandas DataFrames/146 Common Attributes for Working with DataFrames.mp4
34 MB
16 pandas DataFrames/147 Data Selection in pandas DataFrames.en.srt
10 kB
16 pandas DataFrames/147 Data Selection in pandas DataFrames.mp4
50 MB
16 pandas DataFrames/148 Data Selection - Indexing with .iloc[].en.srt
8.2 kB
16 pandas DataFrames/148 Data Selection - Indexing with .iloc[].mp4
41 MB
16 pandas DataFrames/149 Data Selection - Indexing with .loc[].en.srt
5.7 kB
16 pandas DataFrames/149 Data Selection - Indexing with .loc[].mp4
28 MB
16 pandas DataFrames/150 A Few Comments on Using .loc[] and .iloc[].en.srt
17 kB
16 pandas DataFrames/150 A Few Comments on Using .loc[] and .iloc[].mp4
106 MB
16 pandas DataFrames/external-assets-links.txt
236 B
17 NumPy Fundamentals/151 Indexing in NumPy.en.srt
8.5 kB
17 NumPy Fundamentals/151 Indexing in NumPy.mp4
30 MB
17 NumPy Fundamentals/152 Assigning Values in NumPy.en.srt
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17 NumPy Fundamentals/153 Elementwise Properties of Arrays.en.srt
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17 NumPy Fundamentals/154 Types of Data Supported by NumPy.en.srt
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17 NumPy Fundamentals/155 Characteristics of NumPy Functions Part 1.en.srt
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17 NumPy Fundamentals/156 Characteristics of NumPy Functions Part 2.en.srt
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17 NumPy Fundamentals/157 NumPy Fundamentals - Exercise.html
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18 NumPy DataTypes/158 ndarrays.en.srt
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18 NumPy DataTypes/159 Arrays vs Lists.en.srt
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18 NumPy DataTypes/160 Strings vs Object vs Number.en.srt
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18 NumPy DataTypes/161 NumPy DataTypes - Exercise.html
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19 Working with Arrays/162 Basic Slicing in NumPy.en.srt
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19 Working with Arrays/163 Stepwise Slicing in NumPy.en.srt
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19 Working with Arrays/164 Conditional Slicing in NumPy.en.srt
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19 Working with Arrays/165 Dimensions and the Squeeze Function.en.srt
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19 Working with Arrays/166 Working with Arrays - Exercise.html
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20 Generating Data with NumPy/167 Arrays of 0s and 1s.en.srt
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20 Generating Data with NumPy/168 __like_ functions in NumPy.en.srt
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20 Generating Data with NumPy/169 A Non-Random Sequence of Numbers.en.srt
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20 Generating Data with NumPy/170 Random Generators and Seeds.en.srt
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20 Generating Data with NumPy/172 Probability Distributions in NumPy.en.srt
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20 Generating Data with NumPy/173 Applications of Random Data in NumPy.en.srt
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20 Generating Data with NumPy/174 Generating Data with NumPy - Exercise.html
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21 Statistics with NumPy/175 Using Statistical Functions in NumPy.en.srt
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21 Statistics with NumPy/176 Minimal and Maximal Values in NumPy.en.srt
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21 Statistics with NumPy/177 Statistical Order Functions in NumPy.en.srt
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21 Statistics with NumPy/178 Averages and Variance in NumPy.en.srt
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21 Statistics with NumPy/179 Covariance and Correlation in NumPy.en.srt
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21 Statistics with NumPy/180 Histograms in NumPy (Part 1).en.srt
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21 Statistics with NumPy/182 NAN Equivalent Functions in NumPy.en.srt
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21 Statistics with NumPy/183 Statistics with NumPy - Exercise.html
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22 NumPy - Preprocessing/184 Checking for Missing Values in Ndarrays.en.srt
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22 NumPy - Preprocessing/186 Reshaping Ndarrays.en.srt
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22 NumPy - Preprocessing/187 Removing Values from Ndarrays.en.srt
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22 NumPy - Preprocessing/188 Sorting Ndarrays.en.srt
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22 NumPy - Preprocessing/189 Argument Sort in NumPy.en.srt
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22 NumPy - Preprocessing/190 Argument Where in NumPy.en.srt
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22 NumPy - Preprocessing/191 Shuffling Ndarrays.en.srt
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22 NumPy - Preprocessing/192 Casting Ndarrays.en.srt
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22 NumPy - Preprocessing/193 Striping Values from Ndarrays.en.srt
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22 NumPy - Preprocessing/194 Stacking Ndarrays.en.srt
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22 NumPy - Preprocessing/195 Concatenating Ndarrays.en.srt
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22 NumPy - Preprocessing/196 Finding Unique Values in Ndarrays.en.srt
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23 A Loan Data Example with NumPy/197 Setting Up_ Introduction to the Practical Example.en.srt
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23 A Loan Data Example with NumPy/197 Setting Up_ Introduction to the Practical Example.mp4
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23 A Loan Data Example with NumPy/198 Setting Up_ Importing the Data Set.en.srt
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23 A Loan Data Example with NumPy/199 Setting Up_ Checking for Incomplete Data.en.srt
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23 A Loan Data Example with NumPy/200 Setting Up_ Splitting the Dataset.en.srt
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23 A Loan Data Example with NumPy/201 Setting Up_ Creating Checkpoints.en.srt
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23 A Loan Data Example with NumPy/201 Setting Up_ Creating Checkpoints.mp4
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23 A Loan Data Example with NumPy/202 Manipulating Text Data_ Issue Date.en.srt
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23 A Loan Data Example with NumPy/202 Manipulating Text Data_ Issue Date.mp4
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23 A Loan Data Example with NumPy/203 Manipulating Text Data_ Loan Status and Term.en.srt
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23 A Loan Data Example with NumPy/203 Manipulating Text Data_ Loan Status and Term.mp4
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23 A Loan Data Example with NumPy/204 Manipulating Text Data_ Grade and Sub Grade.en.srt
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23 A Loan Data Example with NumPy/204 Manipulating Text Data_ Grade and Sub Grade.mp4
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23 A Loan Data Example with NumPy/205 Manipulating Text Data_ Verification Status & URL.en.srt
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23 A Loan Data Example with NumPy/206 Manipulating Text Data_ State Address.en.srt
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23 A Loan Data Example with NumPy/207 Manipulating Text Data_ Converting Strings and Creating a Checkpoint.en.srt
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23 A Loan Data Example with NumPy/208 Manipulating Numeric Data_ Substitute Filler Values.en.srt
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23 A Loan Data Example with NumPy/209 Manipulating Numeric Data_ Currency Change – The Exchange Rate.en.srt
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23 A Loan Data Example with NumPy/209 Manipulating Numeric Data_ Currency Change – The Exchange Rate.mp4
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23 A Loan Data Example with NumPy/210 Manipulating Numeric Data_ Currency Change - From USD to EUR.en.srt
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23 A Loan Data Example with NumPy/211 Completing the Dataset.en.srt
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23 A Loan Data Example with NumPy/external-assets-links.txt
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24 The _Absenteeism_ Exercise - Introduction/212 An Introduction to the _Absenteeism_ Exercise.en.srt
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24 The _Absenteeism_ Exercise - Introduction/212 An Introduction to the _Absenteeism_ Exercise.mp4
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24 The _Absenteeism_ Exercise - Introduction/213 The _Absenteeism_ Exercise from a Business Perspective.en.srt
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24 The _Absenteeism_ Exercise - Introduction/214 The Dataset.en.srt
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24 The _Absenteeism_ Exercise - Introduction/214 The Dataset.mp4
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25 Solution to the _Absenteeism_ Exercise/215 How to Complete the Absenteeism Exercise.en.srt
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25 Solution to the _Absenteeism_ Exercise/216 Eyeball Your Data First.en.srt
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25 Solution to the _Absenteeism_ Exercise/217 Note_ Programming vs the Rest of the World.en.srt
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25 Solution to the _Absenteeism_ Exercise/218 Using a Statistical Approach to Solve Our Exercise.en.srt
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25 Solution to the _Absenteeism_ Exercise/219 Dropping the 'ID' Column.en.srt
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25 Solution to the _Absenteeism_ Exercise/219 Dropping the 'ID' Column.mp4
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25 Solution to the _Absenteeism_ Exercise/220 Analysis of the 'Reason for Absence' Column.en.srt
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25 Solution to the _Absenteeism_ Exercise/221 Splitting the Reasons for Absence into Multiple Dummy Variables.en.srt
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25 Solution to the _Absenteeism_ Exercise/222 Working with Dummy Variables - A Statistical Perspective.en.srt
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25 Solution to the _Absenteeism_ Exercise/223 Grouping the Reason for Absence Columns.en.srt
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25 Solution to the _Absenteeism_ Exercise/224 Concatenating Columns in a pandas DataFrame.en.srt
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25 Solution to the _Absenteeism_ Exercise/225 Reordering Columns in a DataFrame.en.srt
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25 Solution to the _Absenteeism_ Exercise/226 Working on the 'Date' Column.en.srt
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25 Solution to the _Absenteeism_ Exercise/227 Extracting the Month Value from the 'Date' Column.en.srt
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25 Solution to the _Absenteeism_ Exercise/228 Creating the 'Day of the Week' Column.en.srt
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25 Solution to the _Absenteeism_ Exercise/229 Understanding the Meaning of 5 More Columns.en.srt
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25 Solution to the _Absenteeism_ Exercise/230 Modifying the 'Education' Column.en.srt
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25 Solution to the _Absenteeism_ Exercise/231 Final Remarks on the Absenteeism Exercise.en.srt
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26 Data Visualization/232 What Is Data Visualization and Why Is It Important_.en.srt
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26 Data Visualization/233 Why Learn Data Visualization_.en.srt
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26 Data Visualization/234 Choosing the Right Visualization – What Are Some Popular Approaches and Framewor.en.srt
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26 Data Visualization/235 Introduction into Colors and Color Theory.en.srt
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26 Data Visualization/236 Bar Chart - Introduction - General Theory and Getting to Know the Dataset.en.srt
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26 Data Visualization/237 Bar Chart - How to Create a Bar Chart Using Python.en.srt
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26 Data Visualization/238 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph.en.srt
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26 Data Visualization/239 Pie Chart - Introduction - General Theory and Dataset.en.srt
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26 Data Visualization/240 Pie Chart - How to Create a Pie Chart Using Python.en.srt
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26 Data Visualization/241 Pie Chart – Interpreting the Pie Chart.en.srt
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26 Data Visualization/242 Pie Chart - Why You Should Never Create a Pie Graph.en.srt
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26 Data Visualization/243 Stacked Area Chart - Introduction - General Theory. Getting to Know the Dataset.en.srt
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26 Data Visualization/244 Stacked Area Chart - How to Create a Stacked Area Chart Using Python.en.srt
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26 Data Visualization/245 Stacked Area Chart - Interpreting the Stacked Area Graph.en.srt
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26 Data Visualization/246 Stacked Area Chart - How to Make a Good Stacked Area Chart.en.srt
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26 Data Visualization/247 Line Chart - Introduction - General Theory. Getting to Know the Dataset.en.srt
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26 Data Visualization/248 Line Chart - How to Create a Line Chart in Python.en.srt
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26 Data Visualization/249 Line Chart - Interpretation.en.srt
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26 Data Visualization/250 Line Chart - How to Make a Good Line Chart.en.srt
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26 Data Visualization/251 Histogram - Introduction - General Theory. Getting to Know the Dataset.en.srt
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26 Data Visualization/252 Histogram - How to Create a Histogram Using Python.en.srt
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26 Data Visualization/253 Histogram – Interpreting the Histogram.en.srt
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26 Data Visualization/254 Histogram – Choosing the Number of Bins in a Histogram.en.srt
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26 Data Visualization/255 Histogram - How to Make a Good Histogram.en.srt
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26 Data Visualization/256 Scatter Plot - Introduction - General Theory. Getting to Know the Dataset.en.srt
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26 Data Visualization/257 Scatter Plot - How to Create a Scatter Plot Using Python.en.srt
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26 Data Visualization/257 Scatter Plot - How to Create a Scatter Plot Using Python.mp4
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26 Data Visualization/258 Scatter Plot – Interpreting the Scatter Plot.en.srt
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26 Data Visualization/259 Scatter Plot - How to Make a Good Scatter Plot.en.srt
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26 Data Visualization/260 Regression Plot - Introduction - General Theory. Getting to Know the Dataset.en.srt
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26 Data Visualization/261 Regression Plot - How to Create a Regression Scatter Plot Using Python.en.srt
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26 Data Visualization/262 Regression Plot – Interpreting the Regression Scatter Plot.en.srt
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26 Data Visualization/263 Regression Plot - How to Make a Good Regression Plot.en.srt
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26 Data Visualization/264 Bar and Line Chart - Introduction - General Theory. Getting to Know the Dataset.en.srt
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26 Data Visualization/265 Bar and Line Chart - How to Create a Combination Bar and Line Graph Using Python.en.srt
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26 Data Visualization/266 Bar and Line Chart – Interpreting the Combination Bar and Line Graph.en.srt
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26 Data Visualization/267 Bar and Line Chart – How to Make a Good Bar and Line Graph.en.srt
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26 Data Visualization/268 Data Visualization - Exercise.html
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26 Data Visualization/external-assets-links.txt
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27 Conclusion/269 Conclusion.en.srt
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