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[GigaCourse.Com] Udemy - The Data Analyst Course Complete Data Analyst Bootcamp 2022

Magnet Download Download Torrent
File Name
Size
0. Websites you may like/[CourseClub.Me].url
122 B
0. Websites you may like/[GigaCourse.Com].url
49 B
01 - Introduction to the Course/001 A Practical Example - What Will You Learn in This Course.mp4
58 MB
01 - Introduction to the Course/001 A Practical Example - What Will You Learn in This Course_en.vtt
6.3 kB
01 - Introduction to the Course/002 What Does the Course Cover.mp4
61 MB
01 - Introduction to the Course/002 What Does the Course Cover_en.vtt
7.6 kB
01 - Introduction to the Course/003 Download All Resources.html
693 B
01 - Introduction to the Course/004 FAQ.html
18 kB
01 - Introduction to the Course/[CourseClub.Me].url
122 B
01 - Introduction to the Course/[GigaCourse.Com].url
49 B
02 - Introduction to Data Analytics/001 Introduction to the World of Business and Data.mp4
10 MB
02 - Introduction to Data Analytics/001 Introduction to the World of Business and Data_en.vtt
3.2 kB
02 - Introduction to Data Analytics/002 Relevant Terms Explained.mp4
17 MB
02 - Introduction to Data Analytics/002 Relevant Terms Explained_en.vtt
7.3 kB
02 - Introduction to Data Analytics/003 Data Analyst Compared to Other Data Jobs.mp4
8.2 MB
02 - Introduction to Data Analytics/003 Data Analyst Compared to Other Data Jobs_en.vtt
3.1 kB
02 - Introduction to Data Analytics/004 Data Analyst Job Description.mp4
20 MB
02 - Introduction to Data Analytics/004 Data Analyst Job Description_en.vtt
7.4 kB
02 - Introduction to Data Analytics/005 Why Python.mp4
15 MB
02 - Introduction to Data Analytics/005 Why Python_en.vtt
6.6 kB
03 - Setting up the Environment/001 Introduction.mp4
14 MB
03 - Setting up the Environment/001 Introduction_en.vtt
1.9 kB
03 - Setting up the Environment/002 Programming Explained in a Few Minutes.mp4
14 MB
03 - Setting up the Environment/002 Programming Explained in a Few Minutes_en.vtt
6.1 kB
03 - Setting up the Environment/003 Jupyter - Introduction.mp4
8.2 MB
03 - Setting up the Environment/003 Jupyter - Introduction_en.vtt
4.1 kB
03 - Setting up the Environment/004 Jupyter - Installing Anaconda.mp4
22 MB
03 - Setting up the Environment/004 Jupyter - Installing Anaconda_en.vtt
5.0 kB
03 - Setting up the Environment/005 Jupyter - Intro to Using Jupyter.mp4
5.9 MB
03 - Setting up the Environment/005 Jupyter - Intro to Using Jupyter_en.vtt
3.2 kB
03 - Setting up the Environment/006 Jupyter - Working with Notebook Files.mp4
19 MB
03 - Setting up the Environment/006 Jupyter - Working with Notebook Files_en.vtt
6.7 kB
03 - Setting up the Environment/007 Jupyter - Using Shortcuts.mp4
6.7 MB
03 - Setting up the Environment/007 Jupyter - Using Shortcuts_en.vtt
4.1 kB
03 - Setting up the Environment/008 Jupyter - Handling Error Messages.mp4
13 MB
03 - Setting up the Environment/008 Jupyter - Handling Error Messages_en.vtt
7.8 kB
03 - Setting up the Environment/009 Jupyter - Restarting the Kernel.mp4
4.7 MB
03 - Setting up the Environment/009 Jupyter - Restarting the Kernel_en.vtt
2.3 kB
03 - Setting up the Environment/32894054-Setting-Up-the-Environment-Jupyter-Lectures.ipynb
4.4 kB
03 - Setting up the Environment/32894066-Jupyter-Shortcuts.pdf
590 kB
03 - Setting up the Environment/32894068-Setting-Up-the-Environment-Jupyter-Lectures.ipynb
4.4 kB
03 - Setting up the Environment/external-assets-links.txt
123 B
04 - Python Basics/001 Python Variables.mp4
14 MB
04 - Python Basics/001 Python Variables_en.vtt
4.0 kB
04 - Python Basics/002 Types of Data - Numbers and Boolean Values.mp4
14 MB
04 - Python Basics/002 Types of Data - Numbers and Boolean Values_en.vtt
3.1 kB
04 - Python Basics/003 Types of Data - Strings.mp4
20 MB
04 - Python Basics/003 Types of Data - Strings_en.vtt
6.2 kB
04 - Python Basics/004 Basic Python Syntax - Arithmetic Operators.mp4
7.3 MB
04 - Python Basics/004 Basic Python Syntax - Arithmetic Operators_en.vtt
3.8 kB
04 - Python Basics/005 Basic Python Syntax - The Double Equality Sign.mp4
2.7 MB
04 - Python Basics/005 Basic Python Syntax - The Double Equality Sign_en.vtt
1.6 kB
04 - Python Basics/006 Basic Python Syntax - Reassign Values.mp4
1.9 MB
04 - Python Basics/006 Basic Python Syntax - Reassign Values_en.vtt
1.2 kB
04 - Python Basics/007 Basic Python Syntax - Add Comments.mp4
2.4 MB
04 - Python Basics/007 Basic Python Syntax - Add Comments_en.vtt
1.6 kB
04 - Python Basics/008 Basic Python Syntax - Line Continuation.mp4
1.2 MB
04 - Python Basics/008 Basic Python Syntax - Line Continuation_en.vtt
1.0 kB
04 - Python Basics/009 Basic Python Syntax - Indexing Elements.mp4
2.4 MB
04 - Python Basics/009 Basic Python Syntax - Indexing Elements_en.vtt
1.4 kB
04 - Python Basics/010 Basic Python Syntax - Indentation.mp4
2.8 MB
04 - Python Basics/010 Basic Python Syntax - Indentation_en.vtt
1.9 kB
04 - Python Basics/011 Operators - Comparison Operators.mp4
4.2 MB
04 - Python Basics/011 Operators - Comparison Operators_en.vtt
2.2 kB
04 - Python Basics/012 Operators - Logical and Identity Operators.mp4
15 MB
04 - Python Basics/012 Operators - Logical and Identity Operators_en.vtt
5.1 kB
04 - Python Basics/013 Conditional Statements - The IF Statement.mp4
5.3 MB
04 - Python Basics/013 Conditional Statements - The IF Statement_en.vtt
3.1 kB
04 - Python Basics/014 Conditional Statements - The ELSE Statement.mp4
5.2 MB
04 - Python Basics/014 Conditional Statements - The ELSE Statement_en.vtt
2.7 kB
04 - Python Basics/015 Conditional Statements - The ELIF Statement.mp4
14 MB
04 - Python Basics/015 Conditional Statements - The ELIF Statement_en.vtt
5.8 kB
04 - Python Basics/016 Conditional Statements - A Note on Boolean Values.mp4
4.2 MB
04 - Python Basics/016 Conditional Statements - A Note on Boolean Values_en.vtt
2.6 kB
04 - Python Basics/017 Functions - Defining a Function in Python.mp4
3.2 MB
04 - Python Basics/017 Functions - Defining a Function in Python_en.vtt
2.1 kB
04 - Python Basics/018 Functions - Creating a Function with a Parameter.mp4
10 MB
04 - Python Basics/018 Functions - Creating a Function with a Parameter_en.vtt
3.8 kB
04 - Python Basics/019 Functions - Another Way to Define a Function.mp4
6.5 MB
04 - Python Basics/019 Functions - Another Way to Define a Function_en.vtt
2.5 kB
04 - Python Basics/020 Functions - Using a Function in Another Function.mp4
3.2 MB
04 - Python Basics/020 Functions - Using a Function in Another Function_en.vtt
1.8 kB
04 - Python Basics/021 Functions - Combining Conditional Statements and Functions.mp4
6.1 MB
04 - Python Basics/021 Functions - Combining Conditional Statements and Functions_en.vtt
3.1 kB
04 - Python Basics/022 Functions - Creating Functions That Contain a Few Arguments.mp4
2.8 MB
04 - Python Basics/022 Functions - Creating Functions That Contain a Few Arguments_en.vtt
1.2 kB
04 - Python Basics/023 Functions - Notable Built-in Functions in Python.mp4
8.5 MB
04 - Python Basics/023 Functions - Notable Built-in Functions in Python_en.vtt
3.7 kB
04 - Python Basics/024 Sequences - Lists.mp4
9.5 MB
04 - Python Basics/024 Sequences - Lists_en.vtt
4.3 kB
04 - Python Basics/025 Sequences - Using Methods.mp4
7.9 MB
04 - Python Basics/025 Sequences - Using Methods_en.vtt
3.5 kB
04 - Python Basics/026 Sequences - List Slicing.mp4
19 MB
04 - Python Basics/026 Sequences - List Slicing_en.vtt
4.6 kB
04 - Python Basics/027 Sequences - Tuples.mp4
7.4 MB
04 - Python Basics/027 Sequences - Tuples_en.vtt
3.0 kB
04 - Python Basics/028 Sequences - Dictionaries.mp4
10 MB
04 - Python Basics/028 Sequences - Dictionaries_en.vtt
3.7 kB
04 - Python Basics/029 Iteration - For Loops.mp4
5.5 MB
04 - Python Basics/029 Iteration - For Loops_en.vtt
3.1 kB
04 - Python Basics/030 Iteration - While Loops and Incrementing.mp4
9.2 MB
04 - Python Basics/030 Iteration - While Loops and Incrementing_en.vtt
2.5 kB
04 - Python Basics/031 Iteration - Create Lists with the range() Function.mp4
7.2 MB
04 - Python Basics/031 Iteration - Create Lists with the range() Function_en.vtt
4.4 kB
04 - Python Basics/032 Iteration - Use Conditional Statements and Loops Together.mp4
7.1 MB
04 - Python Basics/032 Iteration - Use Conditional Statements and Loops Together_en.vtt
3.3 kB
04 - Python Basics/033 Iteration - Conditional Statements, Functions, and Loops.mp4
4.3 MB
04 - Python Basics/033 Iteration - Conditional Statements, Functions, and Loops_en.vtt
2.1 kB
04 - Python Basics/034 Iteration - Iterating over Dictionaries.mp4
6.5 MB
04 - Python Basics/034 Iteration - Iterating over Dictionaries_en.vtt
3.2 kB
04 - Python Basics/32894082-Python-Basics-Lectures.ipynb
75 kB
04 - Python Basics/32894084-Python-Basics-Exercises.ipynb
42 kB
04 - Python Basics/32894100-Python-Basics-Solutions.ipynb
74 kB
04 - Python Basics/32894124-Python-Basics-Lectures.ipynb
75 kB
04 - Python Basics/32894132-Python-Basics-Exercises.ipynb
42 kB
04 - Python Basics/32894142-Python-Basics-Solutions.ipynb
74 kB
04 - Python Basics/external-assets-links.txt
110 B
05 - Fundamentals for Coding in Python/001 Object-Oriented Programming (OOP).mp4
8.4 MB
05 - Fundamentals for Coding in Python/001 Object-Oriented Programming (OOP)_en.vtt
5.4 kB
05 - Fundamentals for Coding in Python/002 Modules, Packages, and the Python Standard Library.mp4
14 MB
05 - Fundamentals for Coding in Python/002 Modules, Packages, and the Python Standard Library_en.vtt
5.8 kB
05 - Fundamentals for Coding in Python/003 Importing Modules.mp4
7.4 MB
05 - Fundamentals for Coding in Python/003 Importing Modules_en.vtt
4.1 kB
05 - Fundamentals for Coding in Python/004 Introduction to Using NumPy and pandas.mp4
32 MB
05 - Fundamentals for Coding in Python/004 Introduction to Using NumPy and pandas_en.vtt
12 kB
05 - Fundamentals for Coding in Python/005 What is Software Documentation.mp4
13 MB
05 - Fundamentals for Coding in Python/005 What is Software Documentation_en.vtt
5.6 kB
05 - Fundamentals for Coding in Python/006 The Python Documentation.mp4
44 MB
05 - Fundamentals for Coding in Python/006 The Python Documentation_en.vtt
8.4 kB
05 - Fundamentals for Coding in Python/32894314-Importing-Modules-Lecture.ipynb
13 kB
05 - Fundamentals for Coding in Python/32894342-Importing-Modules-Lecture.ipynb
13 kB
05 - Fundamentals for Coding in Python/external-assets-links.txt
130 B
06 - Mathematics for Python/001 What Is а Matrix_en.vtt
3.9 kB
06 - Mathematics for Python/002 Scalars and Vectors.mp4
8.4 MB
06 - Mathematics for Python/002 Scalars and Vectors_en.vtt
3.4 kB
06 - Mathematics for Python/003 Linear Algebra and Geometry.mp4
14 MB
06 - Mathematics for Python/003 Linear Algebra and Geometry_en.vtt
3.5 kB
06 - Mathematics for Python/004 Arrays in Python.mp4
19 MB
06 - Mathematics for Python/004 Arrays in Python_en.vtt
5.1 kB
06 - Mathematics for Python/005 What Is a Tensor.mp4
12 MB
06 - Mathematics for Python/005 What Is a Tensor_en.vtt
3.2 kB
06 - Mathematics for Python/006 Adding and Subtracting Matrices.mp4
22 MB
06 - Mathematics for Python/006 Adding and Subtracting Matrices_en.vtt
3.5 kB
06 - Mathematics for Python/007 Errors When Adding Matrices.mp4
5.8 MB
06 - Mathematics for Python/007 Errors When Adding Matrices_en.vtt
2.3 kB
06 - Mathematics for Python/008 Transpose.mp4
20 MB
06 - Mathematics for Python/008 Transpose_en.vtt
5.0 kB
06 - Mathematics for Python/009 Dot Product of Vectors.mp4
11 MB
06 - Mathematics for Python/009 Dot Product of Vectors_en.vtt
3.8 kB
06 - Mathematics for Python/010 Dot Product of Matrices.mp4
26 MB
06 - Mathematics for Python/010 Dot Product of Matrices_en.vtt
8.3 kB
06 - Mathematics for Python/011 Why is Linear Algebra Useful.mp4
86 MB
06 - Mathematics for Python/011 Why is Linear Algebra Useful_en.vtt
11 kB
06 - Mathematics for Python/32896320-Mathematics-for-Python-Lectures.ipynb
35 kB
06 - Mathematics for Python/32896326-Mathematics-for-Python-Lectures.ipynb
35 kB
06 - Mathematics for Python/[CourseClub.Me].url
122 B
06 - Mathematics for Python/[GigaCourse.Com].url
49 B
06 - Mathematics for Python/external-assets-links.txt
119 B
07 - NumPy Basics/001 The NumPy Package and Why We Use It.mp4
13 MB
07 - NumPy Basics/001 The NumPy Package and Why We Use It_en.vtt
5.0 kB
07 - NumPy Basics/002 InstallingUpgrading NumPy.mp4
3.9 MB
07 - NumPy Basics/002 InstallingUpgrading NumPy_en.vtt
2.4 kB
07 - NumPy Basics/003 Ndarray.mp4
7.6 MB
07 - NumPy Basics/003 Ndarray_en.vtt
3.7 kB
07 - NumPy Basics/004 The NumPy Documentation.mp4
16 MB
07 - NumPy Basics/004 The NumPy Documentation_en.vtt
6.0 kB
07 - NumPy Basics/005 NumPy Basics - Exercise.html
841 B
07 - NumPy Basics/32896332-Intro-to-NumPy-Exercise.ipynb
3.8 kB
07 - NumPy Basics/32896336-Intro-to-NumPy-Solution.ipynb
7.2 kB
07 - NumPy Basics/32896340-Intro-to-NumPy-Template.ipynb
1.9 kB
07 - NumPy Basics/32896342-Intro-to-NumPy-Complete.ipynb
3.2 kB
07 - NumPy Basics/external-assets-links.txt
109 B
08 - Pandas - Basics/001 Introduction to the pandas Library.mp4
14 MB
08 - Pandas - Basics/001 Introduction to the pandas Library_en.vtt
7.3 kB
08 - Pandas - Basics/002 Installing and Running pandas.mp4
38 MB
08 - Pandas - Basics/002 Installing and Running pandas_en.vtt
6.9 kB
08 - Pandas - Basics/003 Introduction to pandas Series.mp4
25 MB
08 - Pandas - Basics/003 Introduction to pandas Series_en.vtt
9.3 kB
08 - Pandas - Basics/004 Working with Attributes in Python.mp4
27 MB
08 - Pandas - Basics/004 Working with Attributes in Python_en.vtt
6.7 kB
08 - Pandas - Basics/005 Using an Index in pandas.mp4
16 MB
08 - Pandas - Basics/005 Using an Index in pandas_en.vtt
5.0 kB
08 - Pandas - Basics/006 Label-based vs Position-based Indexing.mp4
24 MB
08 - Pandas - Basics/006 Label-based vs Position-based Indexing_en.vtt
5.9 kB
08 - Pandas - Basics/007 More on Working with Indices in Python.mp4
33 MB
08 - Pandas - Basics/007 More on Working with Indices in Python_en.vtt
6.8 kB
08 - Pandas - Basics/008 Using Methods in Python - Part I.mp4
17 MB
08 - Pandas - Basics/008 Using Methods in Python - Part I_en.vtt
6.2 kB
08 - Pandas - Basics/009 Using Methods in Python - Part II.mp4
9.2 MB
08 - Pandas - Basics/009 Using Methods in Python - Part II_en.vtt
3.3 kB
08 - Pandas - Basics/010 Parameters vs Arguments.mp4
17 MB
08 - Pandas - Basics/010 Parameters vs Arguments_en.vtt
5.4 kB
08 - Pandas - Basics/011 the pandas Documentation.mp4
52 MB
08 - Pandas - Basics/011 the pandas Documentation_en.vtt
12 kB
08 - Pandas - Basics/012 Introduction to pandas DataFrames.mp4
12 MB
08 - Pandas - Basics/012 Introduction to pandas DataFrames_en.vtt
7.2 kB
08 - Pandas - Basics/013 Creating DataFrames from Scratch - Part I.mp4
26 MB
08 - Pandas - Basics/013 Creating DataFrames from Scratch - Part I_en.vtt
7.4 kB
08 - Pandas - Basics/014 Creating DataFrames from Scratch - Part II.mp4
30 MB
08 - Pandas - Basics/014 Creating DataFrames from Scratch - Part II_en.vtt
6.3 kB
08 - Pandas - Basics/015 Additional Notes on Using DataFrames.mp4
12 MB
08 - Pandas - Basics/015 Additional Notes on Using DataFrames_en.vtt
2.6 kB
08 - Pandas - Basics/016 pandas Basics - Conclusion.html
1.0 kB
08 - Pandas - Basics/32896346-Introduction-to-pandas-DataFrames.pdf
1.5 MB
08 - Pandas - Basics/32896360-pandas-Basics-Lectures.ipynb
28 kB
08 - Pandas - Basics/32896372-pandas-Basics-Exercises.ipynb
21 kB
08 - Pandas - Basics/32896374-pandas-Basics-Solutions.ipynb
42 kB
08 - Pandas - Basics/32896382-Data-Analyst-pandas-Basics-Conclusion.pdf
51 kB
08 - Pandas - Basics/32896384-pandas-Basics-Lectures.ipynb
28 kB
08 - Pandas - Basics/32896388-pandas-Basics-Exercises.ipynb
21 kB
08 - Pandas - Basics/32896390-pandas-Basics-Solutions.ipynb
42 kB
08 - Pandas - Basics/external-assets-links.txt
240 B
09 - Working with Text Files/001 Working with Files in Python - An Introduction.mp4
12 MB
09 - Working with Text Files/001 Working with Files in Python - An Introduction_en.vtt
5.1 kB
09 - Working with Text Files/002 File vs File Object, Read vs Parse.mp4
9.2 MB
09 - Working with Text Files/002 File vs File Object, Read vs Parse_en.vtt
3.7 kB
09 - Working with Text Files/003 Structured vs Semi-Structured and Unstructured Data.mp4
11 MB
09 - Working with Text Files/003 Structured vs Semi-Structured and Unstructured Data_en.vtt
4.4 kB
09 - Working with Text Files/004 Data Connectivity through Text Files.mp4
11 MB
09 - Working with Text Files/004 Data Connectivity through Text Files_en.vtt
4.1 kB
09 - Working with Text Files/005 Principles of Importing Data in Python.mp4
16 MB
09 - Working with Text Files/005 Principles of Importing Data in Python_en.vtt
6.5 kB
09 - Working with Text Files/006 More on Text Files (.txt vs .csv).mp4
13 MB
09 - Working with Text Files/006 More on Text Files (.txt vs .csv)_en.vtt
5.9 kB
09 - Working with Text Files/007 Fixed-width Files.mp4
4.7 MB
09 - Working with Text Files/007 Fixed-width Files_en.vtt
2.0 kB
09 - Working with Text Files/008 Common Naming Conventions Used in Programming.mp4
8.2 MB
09 - Working with Text Files/008 Common Naming Conventions Used in Programming_en.vtt
5.3 kB
09 - Working with Text Files/009 Importing Text Files in Python ( open() ).mp4
25 MB
09 - Working with Text Files/009 Importing Text Files in Python ( open() )_en.vtt
12 kB
09 - Working with Text Files/010 Importing Text Files in Python ( with open() ).mp4
26 MB
09 - Working with Text Files/010 Importing Text Files in Python ( with open() )_en.vtt
6.6 kB
09 - Working with Text Files/011 Importing .csv Files with pandas - Part I.mp4
50 MB
09 - Working with Text Files/011 Importing .csv Files with pandas - Part I_en.vtt
7.5 kB
09 - Working with Text Files/012 Importing .csv Files with pandas - Part II.mp4
11 MB
09 - Working with Text Files/012 Importing .csv Files with pandas - Part II_en.vtt
3.2 kB
09 - Working with Text Files/013 Importing .csv Files with pandas - Part III.mp4
75 MB
09 - Working with Text Files/013 Importing .csv Files with pandas - Part III_en.vtt
8.1 kB
09 - Working with Text Files/014 Importing Data with the index_col Parameter.mp4
12 MB
09 - Working with Text Files/014 Importing Data with the index_col Parameter_en.vtt
3.4 kB
09 - Working with Text Files/015 Importing Data with NumPy - .loadtxt() vs genfromtxt().mp4
56 MB
09 - Working with Text Files/015 Importing Data with NumPy - .loadtxt() vs genfromtxt()_en.vtt
12 kB
09 - Working with Text Files/016 Importing Data with NumPy - Partial Cleaning While Importing.mp4
30 MB
09 - Working with Text Files/016 Importing Data with NumPy - Partial Cleaning While Importing_en.vtt
8.2 kB
09 - Working with Text Files/017 Importing Data with NumPy - Exercise.html
1.1 kB
09 - Working with Text Files/018 Importing .json Files.mp4
48 MB
09 - Working with Text Files/018 Importing .json Files_en.vtt
6.5 kB
09 - Working with Text Files/019 Prelude to Working with Excel Files in Python.mp4
43 MB
09 - Working with Text Files/019 Prelude to Working with Excel Files in Python_en.vtt
4.6 kB
09 - Working with Text Files/020 Working with Excel Data (the .xlsx Format).mp4
12 MB
09 - Working with Text Files/020 Working with Excel Data (the .xlsx Format)_en.vtt
2.4 kB
09 - Working with Text Files/021 An Important Exercise on Importing Data in Python.mp4
43 MB
09 - Working with Text Files/021 An Important Exercise on Importing Data in Python_en.vtt
7.4 kB
09 - Working with Text Files/022 Importing Data with the pandas' Squeeze Parameter.mp4
12 MB
09 - Working with Text Files/022 Importing Data with the pandas' Squeeze Parameter_en.vtt
3.0 kB
09 - Working with Text Files/023 A Note on Importing Files in Jupyter.mp4
20 MB
09 - Working with Text Files/023 A Note on Importing Files in Jupyter_en.vtt
4.0 kB
09 - Working with Text Files/024 Saving Your Data with pandas.mp4
28 MB
09 - Working with Text Files/024 Saving Your Data with pandas_en.vtt
3.9 kB
09 - Working with Text Files/025 Saving Your Data with NumPy - np.save().mp4
19 MB
09 - Working with Text Files/025 Saving Your Data with NumPy - np.save()_en.vtt
6.5 kB
09 - Working with Text Files/026 Saving Your Data with NumPy - np.savez().mp4
15 MB
09 - Working with Text Files/026 Saving Your Data with NumPy - np.savez()_en.vtt
5.8 kB
09 - Working with Text Files/027 Saving Your Data with NumPy - np.savetxt().mp4
21 MB
09 - Working with Text Files/027 Saving Your Data with NumPy - np.savetxt()_en.vtt
4.3 kB
09 - Working with Text Files/028 Saving Your Data with NumPy - Exercise.html
1.2 kB
09 - Working with Text Files/029 Working with Text Files - Conclusion.mp4
2.1 MB
09 - Working with Text Files/029 Working with Text Files - Conclusion_en.vtt
985 B
09 - Working with Text Files/28764174-Data-Analyst-Common-Naming-Conventions.pdf
644 kB
09 - Working with Text Files/32896402-Common-Naming-Conventions.pdf
644 kB
09 - Working with Text Files/32896406-Importing-Text-Files-in-Python-open.ipynb
2.1 kB
09 - Working with Text Files/32896416-source.txt
39 B
09 - Working with Text Files/32896436-Importing-Text-Files-in-Python-with-open.ipynb
2.5 kB
09 - Working with Text Files/32896438-source.txt
39 B
09 - Working with Text Files/32896496-Importing.csv-Files-with-pandas-Part-I.ipynb
1.6 kB
09 - Working with Text Files/32896534-Lending-company.xlsx
93 kB
09 - Working with Text Files/32896536-Lending-company-single-column-data.csv
109 kB
09 - Working with Text Files/32896550-Importing-Text-Data-Template.ipynb
2.6 kB
09 - Working with Text Files/32896554-Importing-Text-Data-Complete.ipynb
13 kB
09 - Working with Text Files/32896560-Lending-Company-Numeric-Data.csv
30 kB
09 - Working with Text Files/32896568-Lending-Company-Numeric-Data-NAN.csv
29 kB
09 - Working with Text Files/32896596-Lending-company.json
214 kB
09 - Working with Text Files/32896612-Customer-Gender.csv
7.4 kB
09 - Working with Text Files/32896668-Saving-Data-NP-Template.ipynb
3.2 kB
09 - Working with Text Files/32896670-Saving-Data-NP-Complete.ipynb
9.8 kB
09 - Working with Text Files/32896676-Lending-Company-Saving.csv
58 kB
09 - Working with Text Files/32896694-Importing-Text-Files-in-Python-open.ipynb
2.1 kB
09 - Working with Text Files/32896708-source.txt
39 B
09 - Working with Text Files/external-assets-links.txt
1.1 kB
10 - Working with Text Data/001 Working with Text Data and Argument Specifiers.mp4
21 MB
10 - Working with Text Data/001 Working with Text Data and Argument Specifiers_en.vtt
12 kB
10 - Working with Text Data/002 Manipulating Python Strings.mp4
12 MB
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10 - Working with Text Data/003 Using Various Python String Methods - Part I.mp4
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13 - APIs (POST requests are not needed for this course)/007 Coding a Simple Currency Conversion Calculator.mp4
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13 - APIs (POST requests are not needed for this course)/012 APIs Exercise.html
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15 - pandas Series/[CourseClub.Me].url
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16 - pandas DataFrames/001 A Revision to pandas DataFrames.mp4
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16 - pandas DataFrames/003 Data Selection in pandas DataFrames.mp4
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16 - pandas DataFrames/004 Data Selection - Indexing with .iloc[].mp4
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16 - pandas DataFrames/006 A Few Comments on Using .loc[] and .iloc[].mp4
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17 - NumPy Fundamentals/001 Indexing in NumPy.mp4
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17 - NumPy Fundamentals/003 Elementwise Properties of Arrays.mp4
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17 - NumPy Fundamentals/005 Characteristics of NumPy Functions Part 1.mp4
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18 - NumPy DataTypes/001 ndarrays.mp4
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19 - Working with Arrays/001 Basic Slicing in NumPy.mp4
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19 - Working with Arrays/002 Stepwise Slicing in NumPy.mp4
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19 - Working with Arrays/004 Dimensions and the Squeeze Function.mp4
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20 - Generating Data with NumPy/001 Arrays of 0s and 1s.mp4
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20 - Generating Data with NumPy/005 Basic Random Functions in NumPy.mp4
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20 - Generating Data with NumPy/006 Probability Distributions in NumPy.mp4
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20 - Generating Data with NumPy/007 Applications of Random Data in NumPy.mp4
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21 - Statistics with NumPy/001 Using Statistical Functions in NumPy.mp4
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21 - Statistics with NumPy/002 Minimal and Maximal Values in NumPy.mp4
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21 - Statistics with NumPy/003 Statistical Order Functions in NumPy.mp4
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21 - Statistics with NumPy/004 Averages and Variance in NumPy.mp4
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21 - Statistics with NumPy/005 Covariance and Correlation in NumPy.mp4
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21 - Statistics with NumPy/006 Histograms in NumPy (Part 1).mp4
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21 - Statistics with NumPy/008 NAN Equivalent Functions in NumPy.mp4
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21 - Statistics with NumPy/009 Statistics with NumPy - Exercise.html
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21 - Statistics with NumPy/[CourseClub.Me].url
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22 - NumPy - Preprocessing/001 Checking for Missing Values in Ndarrays.mp4
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22 - NumPy - Preprocessing/004 Removing Values from Ndarrays.mp4
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22 - NumPy - Preprocessing/006 Argument Sort in NumPy.mp4
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22 - NumPy - Preprocessing/007 Argument Where in NumPy.mp4
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22 - NumPy - Preprocessing/008 Shuffling Ndarrays.mp4
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22 - NumPy - Preprocessing/011 Stacking Ndarrays.mp4
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22 - NumPy - Preprocessing/012 Concatenating Ndarrays.mp4
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22 - NumPy - Preprocessing/013 Finding Unique Values in Ndarrays.mp4
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22 - NumPy - Preprocessing/32905556-Preprocessing-Data-With-NumPy-Template.ipynb
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22 - NumPy - Preprocessing/32905618-Lending-company-Numeric.csv
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23 - A Loan Data Example with NumPy/001 Setting Up Introduction to the Practical Example.mp4
20 MB
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23 - A Loan Data Example with NumPy/002 Setting Up Importing the Data Set.mp4
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23 - A Loan Data Example with NumPy/002 Setting Up Importing the Data Set_en.vtt
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23 - A Loan Data Example with NumPy/003 Setting Up Checking for Incomplete Data.mp4
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23 - A Loan Data Example with NumPy/005 Setting Up Creating Checkpoints.mp4
11 MB
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23 - A Loan Data Example with NumPy/006 Manipulating Text Data Issue Date.mp4
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23 - A Loan Data Example with NumPy/006 Manipulating Text Data Issue Date_en.vtt
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23 - A Loan Data Example with NumPy/007 Manipulating Text Data Loan Status and Term.mp4
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23 - A Loan Data Example with NumPy/007 Manipulating Text Data Loan Status and Term_en.vtt
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23 - A Loan Data Example with NumPy/008 Manipulating Text Data Grade and Sub Grade.mp4
41 MB
23 - A Loan Data Example with NumPy/008 Manipulating Text Data Grade and Sub Grade_en.vtt
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23 - A Loan Data Example with NumPy/009 Manipulating Text Data Verification Status & URL.mp4
27 MB
23 - A Loan Data Example with NumPy/009 Manipulating Text Data Verification Status & URL_en.vtt
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23 - A Loan Data Example with NumPy/010 Manipulating Text Data State Address.mp4
26 MB
23 - A Loan Data Example with NumPy/010 Manipulating Text Data State Address_en.vtt
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23 - A Loan Data Example with NumPy/011 Manipulating Text Data Converting Strings and Creating a Checkpoint.mp4
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23 - A Loan Data Example with NumPy/012 Manipulating Numeric Data Substitute Filler Values.mp4
28 MB
23 - A Loan Data Example with NumPy/012 Manipulating Numeric Data Substitute Filler Values_en.vtt
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23 - A Loan Data Example with NumPy/013 Manipulating Numeric Data Currency Change – The Exchange Rate.mp4
19 MB
23 - A Loan Data Example with NumPy/013 Manipulating Numeric Data Currency Change – The Exchange Rate_en.vtt
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23 - A Loan Data Example with NumPy/014 Manipulating Numeric Data Currency Change - From USD to EUR.mp4
31 MB
23 - A Loan Data Example with NumPy/014 Manipulating Numeric Data Currency Change - From USD to EUR_en.vtt
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23 - A Loan Data Example with NumPy/015 Completing the Dataset.mp4
44 MB
23 - A Loan Data Example with NumPy/015 Completing the Dataset_en.vtt
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23 - A Loan Data Example with NumPy/32905800-A-Loan-Data-Example-with-NumPy-Template.ipynb
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23 - A Loan Data Example with NumPy/32905806-A-Loan-Data-Example-with-NumPy-Complete.ipynb
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23 - A Loan Data Example with NumPy/32905808-EUR-USD.csv
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23 - A Loan Data Example with NumPy/32905810-loan-data.csv
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23 - A Loan Data Example with NumPy/32905812-loan-data-dictionary.xlsx
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23 - A Loan Data Example with NumPy/32905830-A-Loan-Data-Example-with-NumPy-Complete.ipynb
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23 - A Loan Data Example with NumPy/32905860-EUR-USD.csv
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23 - A Loan Data Example with NumPy/32905864-loan-data.csv
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23 - A Loan Data Example with NumPy/32905866-loan-data-dictionary.xlsx
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23 - A Loan Data Example with NumPy/external-assets-links.txt
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24 - The Absenteeism Exercise - Introduction/001 An Introduction to the Absenteeism Exercise.mp4
3.7 MB
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24 - The Absenteeism Exercise - Introduction/002 The Absenteeism Exercise from a Business Perspective.mp4
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24 - The Absenteeism Exercise - Introduction/003 The Dataset.mp4
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24 - The Absenteeism Exercise - Introduction/003 The Dataset_en.vtt
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24 - The Absenteeism Exercise - Introduction/32905886-Absenteeism-data.csv
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24 - The Absenteeism Exercise - Introduction/32905894-df-cleaned.csv
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24 - The Absenteeism Exercise - Introduction/external-assets-links.txt
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25 - Solution to the Absenteeism Exercise/001 How to Complete the Absenteeism Exercise.mp4
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25 - Solution to the Absenteeism Exercise/002 Eyeball Your Data First.mp4
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25 - Solution to the Absenteeism Exercise/003 Note Programming vs the Rest of the World.mp4
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25 - Solution to the Absenteeism Exercise/003 Note Programming vs the Rest of the World_en.vtt
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25 - Solution to the Absenteeism Exercise/004 Using a Statistical Approach to Solve Our Exercise.mp4
9.9 MB
25 - Solution to the Absenteeism Exercise/004 Using a Statistical Approach to Solve Our Exercise_en.vtt
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25 - Solution to the Absenteeism Exercise/005 Dropping the 'ID' Column.mp4
41 MB
25 - Solution to the Absenteeism Exercise/005 Dropping the 'ID' Column_en.vtt
6.8 kB
25 - Solution to the Absenteeism Exercise/006 Analysis of the 'Reason for Absence' Column.mp4
17 MB
25 - Solution to the Absenteeism Exercise/006 Analysis of the 'Reason for Absence' Column_en.vtt
5.4 kB
25 - Solution to the Absenteeism Exercise/007 Splitting the Reasons for Absence into Multiple Dummy Variables.mp4
64 MB
25 - Solution to the Absenteeism Exercise/007 Splitting the Reasons for Absence into Multiple Dummy Variables_en.vtt
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25 - Solution to the Absenteeism Exercise/008 Working with Dummy Variables - A Statistical Perspective.mp4
5.8 MB
25 - Solution to the Absenteeism Exercise/008 Working with Dummy Variables - A Statistical Perspective_en.vtt
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25 - Solution to the Absenteeism Exercise/009 Grouping the Reason for Absence Columns.mp4
51 MB
25 - Solution to the Absenteeism Exercise/009 Grouping the Reason for Absence Columns_en.vtt
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25 - Solution to the Absenteeism Exercise/010 Concatenating Columns in a pandas DataFrame.mp4
20 MB
25 - Solution to the Absenteeism Exercise/010 Concatenating Columns in a pandas DataFrame_en.vtt
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25 - Solution to the Absenteeism Exercise/011 Reordering Columns in a DataFrame.mp4
7.2 MB
25 - Solution to the Absenteeism Exercise/011 Reordering Columns in a DataFrame_en.vtt
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25 - Solution to the Absenteeism Exercise/012 Working on the 'Date' Column.mp4
26 MB
25 - Solution to the Absenteeism Exercise/012 Working on the 'Date' Column_en.vtt
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25 - Solution to the Absenteeism Exercise/013 Extracting the Month Value from the 'Date' Column.mp4
37 MB
25 - Solution to the Absenteeism Exercise/013 Extracting the Month Value from the 'Date' Column_en.vtt
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25 - Solution to the Absenteeism Exercise/014 Creating the 'Day of the Week' Column.mp4
23 MB
25 - Solution to the Absenteeism Exercise/014 Creating the 'Day of the Week' Column_en.vtt
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25 - Solution to the Absenteeism Exercise/015 Understanding the Meaning of 5 More Columns.mp4
12 MB
25 - Solution to the Absenteeism Exercise/015 Understanding the Meaning of 5 More Columns_en.vtt
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25 - Solution to the Absenteeism Exercise/016 Modifying the 'Education' Column.mp4
20 MB
25 - Solution to the Absenteeism Exercise/016 Modifying the 'Education' Column_en.vtt
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25 - Solution to the Absenteeism Exercise/017 Final Remarks on the Absenteeism Exercise.mp4
15 MB
25 - Solution to the Absenteeism Exercise/017 Final Remarks on the Absenteeism Exercise_en.vtt
2.3 kB
25 - Solution to the Absenteeism Exercise/32906066-Absenteeism-Exercise-Lectures.ipynb
8.4 MB
25 - Solution to the Absenteeism Exercise/32906098-Absenteeism-Exercise-df-cleaned.ipynb
18 kB
25 - Solution to the Absenteeism Exercise/32906104-Absenteeism-data.csv
32 kB
25 - Solution to the Absenteeism Exercise/32906108-df-cleaned.csv
29 kB
25 - Solution to the Absenteeism Exercise/32906114-data-cleaning-homework.pdf
136 kB
25 - Solution to the Absenteeism Exercise/32906128-Absenteeism-Exercise-Lectures.ipynb
8.4 MB
25 - Solution to the Absenteeism Exercise/32906132-Absenteeism-Exercise-df-cleaned.ipynb
18 kB
25 - Solution to the Absenteeism Exercise/32906136-Absenteeism-data.csv
32 kB
25 - Solution to the Absenteeism Exercise/32906140-df-cleaned.csv
29 kB
25 - Solution to the Absenteeism Exercise/32906148-data-cleaning-homework.pdf
136 kB
25 - Solution to the Absenteeism Exercise/[CourseClub.Me].url
122 B
25 - Solution to the Absenteeism Exercise/[GigaCourse.Com].url
49 B
25 - Solution to the Absenteeism Exercise/external-assets-links.txt
133 B
26 - Data Visualization/001 What Is Data Visualization and Why Is It Important.mp4
14 MB
26 - Data Visualization/001 What Is Data Visualization and Why Is It Important_en.vtt
5.9 kB
26 - Data Visualization/002 Why Learn Data Visualization.mp4
26 MB
26 - Data Visualization/002 Why Learn Data Visualization_en.vtt
7.1 kB
26 - Data Visualization/003 Choosing the Right Visualization – What Are Some Popular Approaches and Framewor.mp4
44 MB
26 - Data Visualization/003 Choosing the Right Visualization – What Are Some Popular Approaches and Framewor_en.vtt
8.0 kB
26 - Data Visualization/004 Introduction into Colors and Color Theory.mp4
56 MB
26 - Data Visualization/004 Introduction into Colors and Color Theory_en.vtt
10 kB
26 - Data Visualization/005 Bar Chart - Introduction - General Theory and Getting to Know the Dataset.mp4
11 MB
26 - Data Visualization/005 Bar Chart - Introduction - General Theory and Getting to Know the Dataset_en.vtt
1.9 kB
26 - Data Visualization/006 Bar Chart - How to Create a Bar Chart Using Python.mp4
32 MB
26 - Data Visualization/006 Bar Chart - How to Create a Bar Chart Using Python_en.vtt
12 kB
26 - Data Visualization/007 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph.mp4
8.2 MB
26 - Data Visualization/007 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph_en.vtt
3.2 kB
26 - Data Visualization/008 Pie Chart - Introduction - General Theory and Dataset.mp4
23 MB
26 - Data Visualization/008 Pie Chart - Introduction - General Theory and Dataset_en.vtt
4.8 kB
26 - Data Visualization/009 Pie Chart - How to Create a Pie Chart Using Python.mp4
16 MB
26 - Data Visualization/009 Pie Chart - How to Create a Pie Chart Using Python_en.vtt
6.1 kB
26 - Data Visualization/010 Pie Chart – Interpreting the Pie Chart.mp4
9.7 MB
26 - Data Visualization/010 Pie Chart – Interpreting the Pie Chart_en.vtt
1.8 kB
26 - Data Visualization/011 Pie Chart - Why You Should Never Create a Pie Graph.mp4
46 MB
26 - Data Visualization/011 Pie Chart - Why You Should Never Create a Pie Graph_en.vtt
8.3 kB
26 - Data Visualization/012 Stacked Area Chart - Introduction - General Theory. Getting to Know the Dataset.mp4
7.6 MB
26 - Data Visualization/012 Stacked Area Chart - Introduction - General Theory. Getting to Know the Dataset_en.vtt
3.8 kB
26 - Data Visualization/013 Stacked Area Chart - How to Create a Stacked Area Chart Using Python.mp4
25 MB
26 - Data Visualization/013 Stacked Area Chart - How to Create a Stacked Area Chart Using Python_en.vtt
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26 - Data Visualization/014 Stacked Area Chart - Interpreting the Stacked Area Graph.mp4
9.6 MB
26 - Data Visualization/014 Stacked Area Chart - Interpreting the Stacked Area Graph_en.vtt
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26 - Data Visualization/015 Stacked Area Chart - How to Make a Good Stacked Area Chart.mp4
13 MB
26 - Data Visualization/015 Stacked Area Chart - How to Make a Good Stacked Area Chart_en.vtt
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26 - Data Visualization/016 Line Chart - Introduction - General Theory. Getting to Know the Dataset.mp4
5.0 MB
26 - Data Visualization/016 Line Chart - Introduction - General Theory. Getting to Know the Dataset_en.vtt
2.4 kB
26 - Data Visualization/017 Line Chart - How to Create a Line Chart in Python.mp4
40 MB
26 - Data Visualization/017 Line Chart - How to Create a Line Chart in Python_en.vtt
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26 - Data Visualization/018 Line Chart - Interpretation.mp4
33 MB
26 - Data Visualization/018 Line Chart - Interpretation_en.vtt
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26 - Data Visualization/019 Line Chart - How to Make a Good Line Chart.mp4
27 MB
26 - Data Visualization/019 Line Chart - How to Make a Good Line Chart_en.vtt
7.8 kB
26 - Data Visualization/020 Histogram - Introduction - General Theory. Getting to Know the Dataset.mp4
14 MB
26 - Data Visualization/020 Histogram - Introduction - General Theory. Getting to Know the Dataset_en.vtt
5.3 kB
26 - Data Visualization/021 Histogram - How to Create a Histogram Using Python.mp4
15 MB
26 - Data Visualization/021 Histogram - How to Create a Histogram Using Python_en.vtt
5.1 kB
26 - Data Visualization/022 Histogram – Interpreting the Histogram.mp4
4.9 MB
26 - Data Visualization/022 Histogram – Interpreting the Histogram_en.vtt
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26 - Data Visualization/023 Histogram – Choosing the Number of Bins in a Histogram.mp4
21 MB
26 - Data Visualization/023 Histogram – Choosing the Number of Bins in a Histogram_en.vtt
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26 - Data Visualization/024 Histogram - How to Make a Good Histogram.mp4
22 MB
26 - Data Visualization/024 Histogram - How to Make a Good Histogram_en.vtt
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26 - Data Visualization/025 Scatter Plot - Introduction - General Theory. Getting to Know the Dataset.mp4
8.7 MB
26 - Data Visualization/025 Scatter Plot - Introduction - General Theory. Getting to Know the Dataset_en.vtt
3.1 kB
26 - Data Visualization/026 Scatter Plot - How to Create a Scatter Plot Using Python.mp4
30 MB
26 - Data Visualization/026 Scatter Plot - How to Create a Scatter Plot Using Python_en.vtt
8.1 kB
26 - Data Visualization/027 Scatter Plot – Interpreting the Scatter Plot.mp4
10 MB
26 - Data Visualization/027 Scatter Plot – Interpreting the Scatter Plot_en.vtt
3.4 kB
26 - Data Visualization/028 Scatter Plot - How to Make a Good Scatter Plot.mp4
19 MB
26 - Data Visualization/028 Scatter Plot - How to Make a Good Scatter Plot_en.vtt
3.8 kB
26 - Data Visualization/029 Regression Plot - Introduction - General Theory. Getting to Know the Dataset.mp4
9.4 MB
26 - Data Visualization/029 Regression Plot - Introduction - General Theory. Getting to Know the Dataset_en.vtt
3.4 kB
26 - Data Visualization/030 Regression Plot - How to Create a Regression Scatter Plot Using Python.mp4
22 MB
26 - Data Visualization/030 Regression Plot - How to Create a Regression Scatter Plot Using Python_en.vtt
6.7 kB
26 - Data Visualization/031 Regression Plot – Interpreting the Regression Scatter Plot.mp4
17 MB
26 - Data Visualization/031 Regression Plot – Interpreting the Regression Scatter Plot_en.vtt
5.2 kB
26 - Data Visualization/032 Regression Plot - How to Make a Good Regression Plot.mp4
12 MB
26 - Data Visualization/032 Regression Plot - How to Make a Good Regression Plot_en.vtt
3.9 kB
26 - Data Visualization/033 Bar and Line Chart - Introduction - General Theory. Getting to Know the Dataset.mp4
9.4 MB
26 - Data Visualization/033 Bar and Line Chart - Introduction - General Theory. Getting to Know the Dataset_en.vtt
3.7 kB
26 - Data Visualization/034 Bar and Line Chart - How to Create a Combination Bar and Line Graph Using Python.mp4
26 MB
26 - Data Visualization/034 Bar and Line Chart - How to Create a Combination Bar and Line Graph Using Python_en.vtt
7.3 kB
26 - Data Visualization/035 Bar and Line Chart – Interpreting the Combination Bar and Line Graph.mp4
7.7 MB
26 - Data Visualization/035 Bar and Line Chart – Interpreting the Combination Bar and Line Graph_en.vtt
2.9 kB
26 - Data Visualization/036 Bar and Line Chart – How to Make a Good Bar and Line Graph.mp4
16 MB
26 - Data Visualization/036 Bar and Line Chart – How to Make a Good Bar and Line Graph_en.vtt
4.6 kB
26 - Data Visualization/037 Data Visualization - Exercise.html
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26 - Data Visualization/32906196-Data-Viz-Notebook-Template.ipynb
5.4 kB
26 - Data Visualization/32906202-Data-Viz-Homework-Notebook.ipynb
12 kB
26 - Data Visualization/32906208-Data-Visualization-Course-Notes.pdf
1.7 MB
26 - Data Visualization/32906548-Data-Viz-Homework-Solution-Notebook.ipynb
688 kB
26 - Data Visualization/32906550-Data-Viz-Notebook-with-Comments.ipynb
26 kB
26 - Data Visualization/external-assets-links.txt
2.0 kB
27 - Conclusion/001 Conclusion.mp4
16 MB
27 - Conclusion/001 Conclusion_en.vtt
3.0 kB
[CourseClub.Me].url
122 B
[GigaCourse.Com].url
49 B