GigaCourse Com Udemy The Data Analyst Course Complete Data Analyst Bootcamp 2022

GigaCourse Com Udemy The Data Analyst Course Complete Data Analyst Bootcamp 2022

Name	[GigaCourse.Com] Udemy - The Data Analyst Course Complete Data Analyst Bootcamp 2022	DOWNLOAD Copy Link
Total Size	5.5 GB
Total Files	703
Last Seen	2024-07-23 00:00
Hash	8403CC10096E4601FF575CFF6A4C2CB961DAC6F0

/0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/01 - Introduction to the Course/
001 A Practical Example - What Will You Learn in This Course.mp4	60.9 MB
001 A Practical Example - What Will You Learn in This Course_en.vtt	6.5 KB
002 What Does the Course Cover.mp4	63.7 MB
002 What Does the Course Cover_en.vtt	7.8 KB
003 Download All Resources.html	0.7 KB
004 FAQ.html	18.6 KB
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/02 - Introduction to Data Analytics/
001 Introduction to the World of Business and Data.mp4	10.9 MB
001 Introduction to the World of Business and Data_en.vtt	3.3 KB
002 Relevant Terms Explained.mp4	18.0 MB
002 Relevant Terms Explained_en.vtt	7.5 KB
003 Data Analyst Compared to Other Data Jobs.mp4	8.6 MB
003 Data Analyst Compared to Other Data Jobs_en.vtt	3.2 KB
004 Data Analyst Job Description.mp4	20.9 MB
004 Data Analyst Job Description_en.vtt	7.5 KB
005 Why Python.mp4	15.8 MB
005 Why Python_en.vtt	6.7 KB
/03 - Setting up the Environment/
001 Introduction.mp4	14.5 MB
001 Introduction_en.vtt	2.0 KB
002 Programming Explained in a Few Minutes.mp4	15.0 MB
002 Programming Explained in a Few Minutes_en.vtt	6.3 KB
003 Jupyter - Introduction.mp4	8.6 MB
003 Jupyter - Introduction_en.vtt	4.2 KB
004 Jupyter - Installing Anaconda.mp4	22.5 MB
004 Jupyter - Installing Anaconda_en.vtt	5.1 KB
005 Jupyter - Intro to Using Jupyter.mp4	6.2 MB
005 Jupyter - Intro to Using Jupyter_en.vtt	3.3 KB
006 Jupyter - Working with Notebook Files.mp4	19.5 MB
006 Jupyter - Working with Notebook Files_en.vtt	6.9 KB
007 Jupyter - Using Shortcuts.mp4	7.0 MB
007 Jupyter - Using Shortcuts_en.vtt	4.2 KB
008 Jupyter - Handling Error Messages.mp4	13.9 MB
008 Jupyter - Handling Error Messages_en.vtt	8.0 KB
009 Jupyter - Restarting the Kernel.mp4	4.9 MB
009 Jupyter - Restarting the Kernel_en.vtt	2.4 KB
32894054-Setting-Up-the-Environment-Jupyter-Lectures.ipynb	4.5 KB
32894066-Jupyter-Shortcuts.pdf	603.7 KB
32894068-Setting-Up-the-Environment-Jupyter-Lectures.ipynb	4.5 KB
external-assets-links.txt	0.1 KB
/04 - Python Basics/
001 Python Variables.mp4	14.8 MB
001 Python Variables_en.vtt	4.1 KB
002 Types of Data - Numbers and Boolean Values.mp4	14.4 MB
002 Types of Data - Numbers and Boolean Values_en.vtt	3.2 KB
003 Types of Data - Strings.mp4	20.7 MB
003 Types of Data - Strings_en.vtt	6.4 KB
004 Basic Python Syntax - Arithmetic Operators.mp4	7.6 MB
004 Basic Python Syntax - Arithmetic Operators_en.vtt	3.9 KB
005 Basic Python Syntax - The Double Equality Sign.mp4	2.8 MB
005 Basic Python Syntax - The Double Equality Sign_en.vtt	1.6 KB
006 Basic Python Syntax - Reassign Values.mp4	2.0 MB
006 Basic Python Syntax - Reassign Values_en.vtt	1.2 KB
007 Basic Python Syntax - Add Comments.mp4	2.5 MB
007 Basic Python Syntax - Add Comments_en.vtt	1.6 KB
008 Basic Python Syntax - Line Continuation.mp4	1.3 MB
008 Basic Python Syntax - Line Continuation_en.vtt	1.0 KB
009 Basic Python Syntax - Indexing Elements.mp4	2.5 MB
009 Basic Python Syntax - Indexing Elements_en.vtt	1.5 KB
010 Basic Python Syntax - Indentation.mp4	2.9 MB
010 Basic Python Syntax - Indentation_en.vtt	2.0 KB
011 Operators - Comparison Operators.mp4	4.4 MB
011 Operators - Comparison Operators_en.vtt	2.2 KB
012 Operators - Logical and Identity Operators.mp4	15.8 MB
012 Operators - Logical and Identity Operators_en.vtt	5.2 KB
013 Conditional Statements - The IF Statement.mp4	5.6 MB
013 Conditional Statements - The IF Statement_en.vtt	3.2 KB
014 Conditional Statements - The ELSE Statement.mp4	5.5 MB
014 Conditional Statements - The ELSE Statement_en.vtt	2.8 KB
015 Conditional Statements - The ELIF Statement.mp4	14.9 MB
015 Conditional Statements - The ELIF Statement_en.vtt	5.9 KB
016 Conditional Statements - A Note on Boolean Values.mp4	4.5 MB
016 Conditional Statements - A Note on Boolean Values_en.vtt	2.6 KB
017 Functions - Defining a Function in Python.mp4	3.4 MB
017 Functions - Defining a Function in Python_en.vtt	2.2 KB
018 Functions - Creating a Function with a Parameter.mp4	10.5 MB
018 Functions - Creating a Function with a Parameter_en.vtt	3.8 KB
019 Functions - Another Way to Define a Function.mp4	6.8 MB
019 Functions - Another Way to Define a Function_en.vtt	2.6 KB
020 Functions - Using a Function in Another Function.mp4	3.4 MB
020 Functions - Using a Function in Another Function_en.vtt	1.9 KB
021 Functions - Combining Conditional Statements and Functions.mp4	6.4 MB
021 Functions - Combining Conditional Statements and Functions_en.vtt	3.2 KB
022 Functions - Creating Functions That Contain a Few Arguments.mp4	3.0 MB
022 Functions - Creating Functions That Contain a Few Arguments_en.vtt	1.2 KB
023 Functions - Notable Built-in Functions in Python.mp4	8.9 MB
023 Functions - Notable Built-in Functions in Python_en.vtt	3.8 KB
024 Sequences - Lists.mp4	10.0 MB
024 Sequences - Lists_en.vtt	4.4 KB
025 Sequences - Using Methods.mp4	8.3 MB
025 Sequences - Using Methods_en.vtt	3.6 KB
026 Sequences - List Slicing.mp4	20.1 MB
026 Sequences - List Slicing_en.vtt	4.7 KB
027 Sequences - Tuples.mp4	7.8 MB
027 Sequences - Tuples_en.vtt	3.0 KB
028 Sequences - Dictionaries.mp4	10.6 MB
028 Sequences - Dictionaries_en.vtt	3.8 KB
029 Iteration - For Loops.mp4	5.8 MB
029 Iteration - For Loops_en.vtt	3.1 KB
030 Iteration - While Loops and Incrementing.mp4	9.6 MB
030 Iteration - While Loops and Incrementing_en.vtt	2.5 KB
031 Iteration - Create Lists with the range() Function.mp4	7.6 MB
031 Iteration - Create Lists with the range() Function_en.vtt	4.5 KB
032 Iteration - Use Conditional Statements and Loops Together.mp4	7.5 MB
032 Iteration - Use Conditional Statements and Loops Together_en.vtt	3.4 KB
033 Iteration - Conditional Statements, Functions, and Loops.mp4	4.5 MB
033 Iteration - Conditional Statements, Functions, and Loops_en.vtt	2.1 KB
034 Iteration - Iterating over Dictionaries.mp4	6.9 MB
034 Iteration - Iterating over Dictionaries_en.vtt	3.3 KB
32894082-Python-Basics-Lectures.ipynb	76.7 KB
32894084-Python-Basics-Exercises.ipynb	43.1 KB
32894100-Python-Basics-Solutions.ipynb	75.3 KB
32894124-Python-Basics-Lectures.ipynb	76.7 KB
32894132-Python-Basics-Exercises.ipynb	43.1 KB
32894142-Python-Basics-Solutions.ipynb	75.3 KB
external-assets-links.txt	0.1 KB
/05 - Fundamentals for Coding in Python/
001 Object-Oriented Programming (OOP).mp4	8.8 MB
001 Object-Oriented Programming (OOP)_en.vtt	5.5 KB
002 Modules, Packages, and the Python Standard Library.mp4	14.3 MB
002 Modules, Packages, and the Python Standard Library_en.vtt	5.9 KB
003 Importing Modules.mp4	7.8 MB
003 Importing Modules_en.vtt	4.2 KB
004 Introduction to Using NumPy and pandas.mp4	33.4 MB
004 Introduction to Using NumPy and pandas_en.vtt	12.4 KB
005 What is Software Documentation.mp4	14.1 MB
005 What is Software Documentation_en.vtt	5.8 KB
006 The Python Documentation.mp4	46.1 MB
006 The Python Documentation_en.vtt	8.6 KB
32894314-Importing-Modules-Lecture.ipynb	12.9 KB
32894342-Importing-Modules-Lecture.ipynb	12.9 KB
external-assets-links.txt	0.1 KB
/06 - Mathematics for Python/
001 What Is а Matrix_en.vtt	4.0 KB
002 Scalars and Vectors.mp4	8.8 MB
002 Scalars and Vectors_en.vtt	3.4 KB
003 Linear Algebra and Geometry.mp4	14.2 MB
003 Linear Algebra and Geometry_en.vtt	3.6 KB
004 Arrays in Python.mp4	19.9 MB
004 Arrays in Python_en.vtt	5.3 KB
005 What Is a Tensor.mp4	12.2 MB
005 What Is a Tensor_en.vtt	3.3 KB
006 Adding and Subtracting Matrices.mp4	23.2 MB
006 Adding and Subtracting Matrices_en.vtt	3.6 KB
007 Errors When Adding Matrices.mp4	6.0 MB
007 Errors When Adding Matrices_en.vtt	2.4 KB
008 Transpose.mp4	21.5 MB
008 Transpose_en.vtt	5.1 KB
009 Dot Product of Vectors.mp4	11.9 MB
009 Dot Product of Vectors_en.vtt	3.8 KB
010 Dot Product of Matrices.mp4	27.7 MB
010 Dot Product of Matrices_en.vtt	8.5 KB
011 Why is Linear Algebra Useful.mp4	90.4 MB
011 Why is Linear Algebra Useful_en.vtt	11.2 KB
32896320-Mathematics-for-Python-Lectures.ipynb	35.6 KB
32896326-Mathematics-for-Python-Lectures.ipynb	35.6 KB
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
external-assets-links.txt	0.1 KB
/07 - NumPy Basics/
001 The NumPy Package and Why We Use It.mp4	13.7 MB
001 The NumPy Package and Why We Use It_en.vtt	5.1 KB
002 InstallingUpgrading NumPy.mp4	4.1 MB
002 InstallingUpgrading NumPy_en.vtt	2.5 KB
003 Ndarray.mp4	8.0 MB
003 Ndarray_en.vtt	3.8 KB
004 The NumPy Documentation.mp4	16.6 MB
004 The NumPy Documentation_en.vtt	6.2 KB
005 NumPy Basics - Exercise.html	0.8 KB
32896332-Intro-to-NumPy-Exercise.ipynb	3.9 KB
32896336-Intro-to-NumPy-Solution.ipynb	7.4 KB
32896340-Intro-to-NumPy-Template.ipynb	1.9 KB
32896342-Intro-to-NumPy-Complete.ipynb	3.3 KB
external-assets-links.txt	0.1 KB
/08 - Pandas - Basics/
001 Introduction to the pandas Library.mp4	14.9 MB
001 Introduction to the pandas Library_en.vtt	7.5 KB
002 Installing and Running pandas.mp4	39.6 MB
002 Installing and Running pandas_en.vtt	7.0 KB
003 Introduction to pandas Series.mp4	25.8 MB
003 Introduction to pandas Series_en.vtt	9.5 KB
004 Working with Attributes in Python.mp4	28.1 MB
004 Working with Attributes in Python_en.vtt	6.9 KB
005 Using an Index in pandas.mp4	16.5 MB
005 Using an Index in pandas_en.vtt	5.2 KB
006 Label-based vs Position-based Indexing.mp4	25.7 MB
006 Label-based vs Position-based Indexing_en.vtt	6.1 KB
007 More on Working with Indices in Python.mp4	34.8 MB
007 More on Working with Indices in Python_en.vtt	7.0 KB
008 Using Methods in Python - Part I.mp4	17.9 MB
008 Using Methods in Python - Part I_en.vtt	6.3 KB
009 Using Methods in Python - Part II.mp4	9.6 MB
009 Using Methods in Python - Part II_en.vtt	3.4 KB
010 Parameters vs Arguments.mp4	17.6 MB
010 Parameters vs Arguments_en.vtt	5.5 KB
011 the pandas Documentation.mp4	54.5 MB
011 the pandas Documentation_en.vtt	12.2 KB
012 Introduction to pandas DataFrames.mp4	12.3 MB
012 Introduction to pandas DataFrames_en.vtt	7.3 KB
013 Creating DataFrames from Scratch - Part I.mp4	27.3 MB
013 Creating DataFrames from Scratch - Part I_en.vtt	7.6 KB
014 Creating DataFrames from Scratch - Part II.mp4	31.2 MB
014 Creating DataFrames from Scratch - Part II_en.vtt	6.5 KB
015 Additional Notes on Using DataFrames.mp4	13.0 MB
015 Additional Notes on Using DataFrames_en.vtt	2.6 KB
016 pandas Basics - Conclusion.html	1.1 KB
32896346-Introduction-to-pandas-DataFrames.pdf	1.6 MB
32896360-pandas-Basics-Lectures.ipynb	29.1 KB
32896372-pandas-Basics-Exercises.ipynb	21.3 KB
32896374-pandas-Basics-Solutions.ipynb	43.5 KB
32896382-Data-Analyst-pandas-Basics-Conclusion.pdf	52.5 KB
32896384-pandas-Basics-Lectures.ipynb	29.1 KB
32896388-pandas-Basics-Exercises.ipynb	21.3 KB
32896390-pandas-Basics-Solutions.ipynb	43.5 KB
external-assets-links.txt	0.2 KB
/09 - Working with Text Files/
001 Working with Files in Python - An Introduction.mp4	12.3 MB
001 Working with Files in Python - An Introduction_en.vtt	5.2 KB
002 File vs File Object, Read vs Parse.mp4	9.7 MB
002 File vs File Object, Read vs Parse_en.vtt	3.8 KB
003 Structured vs Semi-Structured and Unstructured Data.mp4	11.4 MB
003 Structured vs Semi-Structured and Unstructured Data_en.vtt	4.5 KB
004 Data Connectivity through Text Files.mp4	11.1 MB
004 Data Connectivity through Text Files_en.vtt	4.2 KB
005 Principles of Importing Data in Python.mp4	17.2 MB
005 Principles of Importing Data in Python_en.vtt	6.7 KB
006 More on Text Files (.txt vs .csv).mp4	13.4 MB
006 More on Text Files (.txt vs .csv)_en.vtt	6.0 KB
007 Fixed-width Files.mp4	5.0 MB
007 Fixed-width Files_en.vtt	2.0 KB
008 Common Naming Conventions Used in Programming.mp4	8.6 MB
008 Common Naming Conventions Used in Programming_en.vtt	5.4 KB
009 Importing Text Files in Python ( open() ).mp4	26.0 MB
009 Importing Text Files in Python ( open() )_en.vtt	12.1 KB
010 Importing Text Files in Python ( with open() ).mp4	27.6 MB
010 Importing Text Files in Python ( with open() )_en.vtt	6.7 KB
011 Importing .csv Files with pandas - Part I.mp4	52.3 MB
011 Importing .csv Files with pandas - Part I_en.vtt	7.7 KB
012 Importing .csv Files with pandas - Part II.mp4	11.4 MB
012 Importing .csv Files with pandas - Part II_en.vtt	3.2 KB
013 Importing .csv Files with pandas - Part III.mp4	78.8 MB
013 Importing .csv Files with pandas - Part III_en.vtt	8.3 KB
014 Importing Data with the index_col Parameter.mp4	12.2 MB
014 Importing Data with the index_col Parameter_en.vtt	3.5 KB
015 Importing Data with NumPy - .loadtxt() vs genfromtxt().mp4	59.2 MB
015 Importing Data with NumPy - .loadtxt() vs genfromtxt()_en.vtt	12.5 KB
016 Importing Data with NumPy - Partial Cleaning While Importing.mp4	32.0 MB
016 Importing Data with NumPy - Partial Cleaning While Importing_en.vtt	8.4 KB
017 Importing Data with NumPy - Exercise.html	1.1 KB
018 Importing .json Files.mp4	50.9 MB
018 Importing .json Files_en.vtt	6.7 KB
019 Prelude to Working with Excel Files in Python.mp4	45.1 MB
019 Prelude to Working with Excel Files in Python_en.vtt	4.8 KB
020 Working with Excel Data (the .xlsx Format).mp4	12.1 MB
020 Working with Excel Data (the .xlsx Format)_en.vtt	2.5 KB
021 An Important Exercise on Importing Data in Python.mp4	45.1 MB
021 An Important Exercise on Importing Data in Python_en.vtt	7.6 KB
022 Importing Data with the pandas' Squeeze Parameter.mp4	12.1 MB
022 Importing Data with the pandas' Squeeze Parameter_en.vtt	3.1 KB
023 A Note on Importing Files in Jupyter.mp4	20.6 MB
023 A Note on Importing Files in Jupyter_en.vtt	4.1 KB
024 Saving Your Data with pandas.mp4	29.0 MB
024 Saving Your Data with pandas_en.vtt	4.0 KB
025 Saving Your Data with NumPy - np.save().mp4	19.9 MB
025 Saving Your Data with NumPy - np.save()_en.vtt	6.6 KB
026 Saving Your Data with NumPy - np.savez().mp4	16.2 MB
026 Saving Your Data with NumPy - np.savez()_en.vtt	5.9 KB
027 Saving Your Data with NumPy - np.savetxt().mp4	21.9 MB
027 Saving Your Data with NumPy - np.savetxt()_en.vtt	4.4 KB
028 Saving Your Data with NumPy - Exercise.html	1.3 KB
029 Working with Text Files - Conclusion.mp4	2.2 MB
029 Working with Text Files - Conclusion_en.vtt	1.0 KB
28764174-Data-Analyst-Common-Naming-Conventions.pdf	659.2 KB
32896402-Common-Naming-Conventions.pdf	659.2 KB
32896406-Importing-Text-Files-in-Python-open.ipynb	2.2 KB
32896416-source.txt	0.0 KB
32896436-Importing-Text-Files-in-Python-with-open.ipynb	2.5 KB
32896438-source.txt	0.0 KB
32896496-Importing.csv-Files-with-pandas-Part-I.ipynb	1.6 KB
32896534-Lending-company.xlsx	94.8 KB
32896536-Lending-company-single-column-data.csv	111.9 KB
32896550-Importing-Text-Data-Template.ipynb	2.7 KB
32896554-Importing-Text-Data-Complete.ipynb	13.4 KB
32896560-Lending-Company-Numeric-Data.csv	30.2 KB
32896568-Lending-Company-Numeric-Data-NAN.csv	29.3 KB
32896596-Lending-company.json	218.7 KB
32896612-Customer-Gender.csv	7.6 KB
32896668-Saving-Data-NP-Template.ipynb	3.2 KB
32896670-Saving-Data-NP-Complete.ipynb	10.1 KB
32896676-Lending-Company-Saving.csv	59.8 KB
32896694-Importing-Text-Files-in-Python-open.ipynb	2.2 KB
32896708-source.txt	0.0 KB
external-assets-links.txt	1.2 KB
/10 - Working with Text Data/
001 Working with Text Data and Argument Specifiers.mp4	22.4 MB
001 Working with Text Data and Argument Specifiers_en.vtt	11.7 KB
002 Manipulating Python Strings.mp4	12.9 MB
002 Manipulating Python Strings_en.vtt	5.4 KB
003 Using Various Python String Methods - Part I.mp4	24.7 MB
003 Using Various Python String Methods - Part I_en.vtt	8.8 KB
004 Using Various Python String Methods - Part II.mp4	21.4 MB
004 Using Various Python String Methods - Part II_en.vtt	9.0 KB
005 String Accessors.mp4	32.1 MB
005 String Accessors_en.vtt	6.2 KB
006 Using the .format() Method.mp4	22.7 MB
006 Using the .format() Method_en.vtt	11.1 KB
31655162-Working-with-Text-Data-Lectures.ipynb	16.3 KB
31655170-Working-with-Text-Data-Exercises.ipynb	17.7 KB
31655194-Working-with-Text-Data-Solutions.ipynb	26.8 KB
31655208-Working-with-Text-Data-Lectures.ipynb	16.3 KB
31655214-Working-with-Text-Data-Exercises.ipynb	17.7 KB
31655222-Working-with-Text-Data-Solutions.ipynb	26.8 KB
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/11 - Must-Know Python Tools/
001 Iterating Over Range Objects.mp4	11.6 MB
001 Iterating Over Range Objects_en.vtt	5.4 KB
002 Nested For Loops - Introduction.mp4	12.8 MB
002 Nested For Loops - Introduction_en.vtt	7.5 KB
003 Triple Nested For Loops.mp4	20.4 MB
003 Triple Nested For Loops_en.vtt	7.2 KB
004 List Comprehensions.mp4	45.3 MB
004 List Comprehensions_en.vtt	11.1 KB
005 Anonymous (Lambda) Functions.mp4	35.3 MB
005 Anonymous (Lambda) Functions_en.vtt	9.0 KB
32896718-Must-Know-Python-Tools-Lectures.ipynb	10.8 KB
32896720-Must-Know-Python-Tools-Exercises.ipynb	8.8 KB
32896722-Must-Know-Python-Tools-Solutions.ipynb	10.9 KB
32896724-Must-Know-Python-Tools-Lectures.ipynb	10.8 KB
32896728-Must-Know-Python-Tools-Exercises.ipynb	8.8 KB
32896730-Must-Know-Python-Tools-Solutions.ipynb	10.9 KB
external-assets-links.txt	0.1 KB
/12 - Data GatheringData Collection/
001 What is data gatheringdata collection.mp4	20.1 MB
001 What is data gatheringdata collection_en.vtt	9.7 KB
/13 - APIs (POST requests are not needed for this course)/
001 Overview of APIs.mp4	10.9 MB
001 Overview of APIs_en.vtt	4.2 KB
002 GET and POST Requests.mp4	6.6 MB
002 GET and POST Requests_en.vtt	3.6 KB
003 Data Exchange Format for APIs JSON.mp4	6.0 MB
003 Data Exchange Format for APIs JSON_en.vtt	3.3 KB
004 Introducing the Exchange Rates API.mp4	26.4 MB
004 Introducing the Exchange Rates API_en.vtt	5.5 KB
005 Including Parameters in a GET Request.mp4	11.3 MB
005 Including Parameters in a GET Request_en.vtt	3.9 KB
006 More Functionalities of the Exchange Rates API.mp4	17.4 MB
006 More Functionalities of the Exchange Rates API_en.vtt	5.3 KB
007 Coding a Simple Currency Conversion Calculator.mp4	23.5 MB
007 Coding a Simple Currency Conversion Calculator_en.vtt	5.5 KB
008 iTunes API.mp4	41.5 MB
008 iTunes API_en.vtt	5.4 KB
009 iTunes API Homework.html	0.3 KB
010 iTunes API Structuring and Exporting the Data.mp4	13.5 MB
010 iTunes API Structuring and Exporting the Data_en.vtt	2.6 KB
011 Pagination GitHub API.mp4	29.6 MB
011 Pagination GitHub API_en.vtt	4.9 KB
012 APIs Exercise.html	0.6 KB
32906864-APIs-complete-notebook.ipynb	1.2 MB
32906872-15.8.Homework-Setup.ipynb	2.8 KB
32906880-15.8.Homework-Solution.ipynb	497.1 KB
external-assets-links.txt	0.2 KB
/14 - Data Cleaning and Data Preprocessing/
001 Data Cleaning and Data Preprocessing.mp4	17.3 MB
001 Data Cleaning and Data Preprocessing_en.vtt	7.8 KB
/15 - pandas Series/
001 .unique(), .nunique().mp4	27.6 MB
001 .unique(), .nunique()_en.vtt	4.9 KB
002 Converting Series into Arrays.mp4	20.8 MB
002 Converting Series into Arrays_en.vtt	7.2 KB
003 .sort_values().mp4	13.8 MB
003 .sort_values()_en.vtt	5.0 KB
004 Attribute and Method Chaining.mp4	15.5 MB
004 Attribute and Method Chaining_en.vtt	5.6 KB
005 .sort_index().mp4	16.5 MB
005 .sort_index()_en.vtt	5.3 KB
32896806-pandas-Series-Lectures.ipynb	23.2 KB
32896812-pandas-Series-Exercises.ipynb	7.8 KB
32896814-pandas-Series-Solutions.ipynb	16.3 KB
32896816-Location.csv	13.8 KB
32896818-Region.csv	10.5 KB
32896820-pandas-Series-Lectures.ipynb	23.2 KB
32896824-pandas-Series-Exercises.ipynb	7.8 KB
32896828-pandas-Series-Solutions.ipynb	16.3 KB
32896830-Location.csv	13.8 KB
32896832-Region.csv	10.5 KB
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
external-assets-links.txt	0.1 KB
/16 - pandas DataFrames/
001 A Revision to pandas DataFrames.mp4	18.7 MB
001 A Revision to pandas DataFrames_en.vtt	6.8 KB
002 Common Attributes for Working with DataFrames.mp4	31.2 MB
002 Common Attributes for Working with DataFrames_en.vtt	5.7 KB
003 Data Selection in pandas DataFrames.mp4	39.1 MB
003 Data Selection in pandas DataFrames_en.vtt	9.0 KB
004 Data Selection - Indexing with .iloc[].mp4	24.7 MB
004 Data Selection - Indexing with .iloc[]_en.vtt	7.1 KB
005 Data Selection - Indexing with .loc[].mp4	22.7 MB
005 Data Selection - Indexing with .loc[]_en.vtt	5.0 KB
006 A Few Comments on Using .loc[] and .iloc[].mp4	80.7 MB
006 A Few Comments on Using .loc[] and .iloc[]_en.vtt	15.0 KB
32896844-pandas-DataFrames.pdf	448.7 KB
32896848-pandas-DataFrames-Lectures.ipynb	17.0 KB
32896852-pandas-DataFrames-Exercises.ipynb	23.8 KB
32896856-pandas-DataFrames-Solutions.ipynb	106.3 KB
32896864-Lending-company.csv	115.1 KB
32896874-pandas-DataFrames.pdf	448.7 KB
32896876-pandas-DataFrames-Lectures.ipynb	17.0 KB
32896878-pandas-DataFrames-Exercises.ipynb	23.8 KB
32896882-pandas-DataFrames-Solutions.ipynb	106.3 KB
32896886-Lending-company.csv	115.1 KB
32896890-Sales-products.csv	155.9 KB
38405832-Sales-products.csv	155.9 KB
external-assets-links.txt	0.1 KB
/17 - NumPy Fundamentals/
001 Indexing in NumPy.mp4	15.6 MB
001 Indexing in NumPy_en.vtt	7.4 KB
002 Assigning Values in NumPy.mp4	10.6 MB
002 Assigning Values in NumPy_en.vtt	5.1 KB
003 Elementwise Properties of Arrays.mp4	15.6 MB
003 Elementwise Properties of Arrays_en.vtt	5.6 KB
004 Types of Data Supported by NumPy.mp4	19.0 MB
004 Types of Data Supported by NumPy_en.vtt	7.5 KB
005 Characteristics of NumPy Functions Part 1.mp4	24.3 MB
005 Characteristics of NumPy Functions Part 1_en.vtt	5.8 KB
006 Characteristics of NumPy Functions Part 2.mp4	10.6 MB
006 Characteristics of NumPy Functions Part 2_en.vtt	4.5 KB
007 NumPy Fundamentals - Exercise.html	1.1 KB
32904758-NumPy-Fundamentals-Template.ipynb	6.6 KB
32904760-NumPy-Fundamentals-Complete.ipynb	18.2 KB
32905064-NumPy-Fundamentals-Exercise.ipynb	11.4 KB
32905068-NumPy-Fundamentals-Solution.ipynb	23.8 KB
external-assets-links.txt	0.1 KB
/18 - NumPy DataTypes/
001 ndarrays.mp4	30.8 MB
001 ndarrays_en.vtt	10.9 KB
002 Arrays vs Lists.mp4	17.4 MB
002 Arrays vs Lists_en.vtt	7.6 KB
003 Strings vs Object vs Number.mp4	26.0 MB
003 Strings vs Object vs Number_en.vtt	8.3 KB
004 NumPy DataTypes - Exercise.html	1.1 KB
external-assets-links.txt	0.1 KB
/19 - Working with Arrays/
001 Basic Slicing in NumPy.mp4	27.8 MB
001 Basic Slicing in NumPy_en.vtt	12.3 KB
002 Stepwise Slicing in NumPy.mp4	14.7 MB
002 Stepwise Slicing in NumPy_en.vtt	6.1 KB
003 Conditional Slicing in NumPy.mp4	16.9 MB
003 Conditional Slicing in NumPy_en.vtt	6.0 KB
004 Dimensions and the Squeeze Function.mp4	19.2 MB
004 Dimensions and the Squeeze Function_en.vtt	7.8 KB
005 Working with Arrays - Exercise.html	1.1 KB
32905364-Working-With-Arrays-Template.ipynb	4.4 KB
32905372-Working-With-Arrays-Complete.ipynb	12.7 KB
32905376-Working-With-Arrays-Exercise.ipynb	8.4 KB
32905380-Working-With-Arrays-Solution.ipynb	16.8 KB
external-assets-links.txt	0.1 KB
/20 - Generating Data with NumPy/
001 Arrays of 0s and 1s.mp4	16.9 MB
001 Arrays of 0s and 1s_en.vtt	7.0 KB
002 _like functions in NumPy.mp4	9.2 MB
002 _like functions in NumPy_en.vtt	4.2 KB
003 A Non-Random Sequence of Numbers.mp4	21.0 MB
003 A Non-Random Sequence of Numbers_en.vtt	6.4 KB
004 Random Generators and Seeds.mp4	20.3 MB
004 Random Generators and Seeds_en.vtt	6.9 KB
005 Basic Random Functions in NumPy.mp4	15.6 MB
005 Basic Random Functions in NumPy_en.vtt	5.1 KB
006 Probability Distributions in NumPy.mp4	33.1 MB
006 Probability Distributions in NumPy_en.vtt	6.9 KB
007 Applications of Random Data in NumPy.mp4	30.8 MB
007 Applications of Random Data in NumPy_en.vtt	5.1 KB
008 Generating Data with NumPy - Exercise.html	1.1 KB
32905420-Generating-Data-With-NumPy-Template.ipynb	5.2 KB
32905426-Generating-Data-With-NumPy-Complete.ipynb	22.7 KB
32905436-Generating-Data-With-NumPy-Exercise.ipynb	8.7 KB
32905442-Generating-Data-With-NumPy-Solution.ipynb	20.3 KB
external-assets-links.txt	0.1 KB
/21 - Statistics with NumPy/
001 Using Statistical Functions in NumPy.mp4	22.3 MB
001 Using Statistical Functions in NumPy_en.vtt	10.3 KB
002 Minimal and Maximal Values in NumPy.mp4	20.9 MB
002 Minimal and Maximal Values in NumPy_en.vtt	7.8 KB
003 Statistical Order Functions in NumPy.mp4	28.7 MB
003 Statistical Order Functions in NumPy_en.vtt	8.1 KB
004 Averages and Variance in NumPy.mp4	15.3 MB
004 Averages and Variance in NumPy_en.vtt	5.7 KB
005 Covariance and Correlation in NumPy.mp4	9.2 MB
005 Covariance and Correlation in NumPy_en.vtt	3.9 KB
006 Histograms in NumPy (Part 1).mp4	23.2 MB
006 Histograms in NumPy (Part 1)_en.vtt	10.0 KB
007 Histograms in NumPy (Part 2).mp4	12.1 MB
007 Histograms in NumPy (Part 2)_en.vtt	5.5 KB
008 NAN Equivalent Functions in NumPy.mp4	17.6 MB
008 NAN Equivalent Functions in NumPy_en.vtt	3.9 KB
009 Statistics with NumPy - Exercise.html	1.1 KB
32905472-Statistics-With-NumPy-Template.ipynb	7.8 KB
32905482-Statistics-With-NumPy-Complete.ipynb	30.2 KB
32905490-Statistics-With-NumPy-Exercise.ipynb	10.7 KB
32905494-Statistics-With-NumPy-Solution.ipynb	26.9 KB
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
external-assets-links.txt	0.1 KB
/22 - NumPy - Preprocessing/
001 Checking for Missing Values in Ndarrays.mp4	50.2 MB
001 Checking for Missing Values in Ndarrays_en.vtt	11.2 KB
002 Substituting Missing Values in Ndarrays.mp4	36.0 MB
002 Substituting Missing Values in Ndarrays_en.vtt	10.9 KB
003 Reshaping Ndarrays.mp4	25.8 MB
003 Reshaping Ndarrays_en.vtt	7.5 KB
004 Removing Values from Ndarrays.mp4	20.9 MB
004 Removing Values from Ndarrays_en.vtt	5.1 KB
005 Sorting Ndarrays.mp4	58.0 MB
005 Sorting Ndarrays_en.vtt	11.7 KB
006 Argument Sort in NumPy.mp4	31.0 MB
006 Argument Sort in NumPy_en.vtt	6.7 KB
007 Argument Where in NumPy.mp4	54.0 MB
007 Argument Where in NumPy_en.vtt	13.7 KB
008 Shuffling Ndarrays.mp4	34.6 MB
008 Shuffling Ndarrays_en.vtt	8.6 KB
009 Casting Ndarrays.mp4	42.2 MB
009 Casting Ndarrays_en.vtt	7.0 KB
010 Striping Values from Ndarrays.mp4	19.3 MB
010 Striping Values from Ndarrays_en.vtt	5.2 KB
011 Stacking Ndarrays.mp4	68.3 MB
011 Stacking Ndarrays_en.vtt	11.8 KB
012 Concatenating Ndarrays.mp4	37.4 MB
012 Concatenating Ndarrays_en.vtt	7.5 KB
013 Finding Unique Values in Ndarrays.mp4	29.1 MB
013 Finding Unique Values in Ndarrays_en.vtt	6.4 KB
32905556-Preprocessing-Data-With-NumPy-Template.ipynb	15.0 KB
32905558-Preprocessing-Data-With-NumPy-Complete.ipynb	82.8 KB
32905618-Lending-company-Numeric.csv	30.2 KB
32905624-Lending-company-Numeric-NAN.csv	29.3 KB
32905628-Preprocessing-Data-With-NumPy-Template.ipynb	15.0 KB
32905630-Preprocessing-Data-With-NumPy-Complete.ipynb	82.8 KB
32905632-Lending-company-Numeric.csv	30.2 KB
32905638-Lending-company-Numeric-NAN.csv	29.3 KB
external-assets-links.txt	0.1 KB
/23 - A Loan Data Example with NumPy/
001 Setting Up Introduction to the Practical Example.mp4	21.5 MB
001 Setting Up Introduction to the Practical Example_en.vtt	6.3 KB
002 Setting Up Importing the Data Set.mp4	38.7 MB
002 Setting Up Importing the Data Set_en.vtt	4.8 KB
003 Setting Up Checking for Incomplete Data.mp4	18.0 MB
003 Setting Up Checking for Incomplete Data_en.vtt	5.1 KB
004 Setting Up Splitting the Dataset.mp4	20.7 MB
004 Setting Up Splitting the Dataset_en.vtt	6.0 KB
005 Setting Up Creating Checkpoints.mp4	11.5 MB
005 Setting Up Creating Checkpoints_en.vtt	3.3 KB
006 Manipulating Text Data Issue Date.mp4	15.6 MB
006 Manipulating Text Data Issue Date_en.vtt	6.5 KB
007 Manipulating Text Data Loan Status and Term.mp4	26.4 MB
007 Manipulating Text Data Loan Status and Term_en.vtt	8.4 KB
008 Manipulating Text Data Grade and Sub Grade.mp4	43.2 MB
008 Manipulating Text Data Grade and Sub Grade_en.vtt	10.7 KB
009 Manipulating Text Data Verification Status & URL.mp4	28.0 MB
009 Manipulating Text Data Verification Status & URL_en.vtt	5.8 KB
010 Manipulating Text Data State Address.mp4	27.5 MB
010 Manipulating Text Data State Address_en.vtt	7.3 KB
011 Manipulating Text Data Converting Strings and Creating a Checkpoint.mp4	9.1 MB
011 Manipulating Text Data Converting Strings and Creating a Checkpoint_en.vtt	4.1 KB
012 Manipulating Numeric Data Substitute Filler Values.mp4	29.2 MB
012 Manipulating Numeric Data Substitute Filler Values_en.vtt	9.4 KB
013 Manipulating Numeric Data Currency Change – The Exchange Rate.mp4	19.9 MB
013 Manipulating Numeric Data Currency Change – The Exchange Rate_en.vtt	7.9 KB
014 Manipulating Numeric Data Currency Change - From USD to EUR.mp4	33.0 MB
014 Manipulating Numeric Data Currency Change - From USD to EUR_en.vtt	9.9 KB
015 Completing the Dataset.mp4	46.2 MB
015 Completing the Dataset_en.vtt	8.0 KB
32905800-A-Loan-Data-Example-with-NumPy-Template.ipynb	23.6 KB
32905806-A-Loan-Data-Example-with-NumPy-Complete.ipynb	69.8 KB
32905808-EUR-USD.csv	1.0 KB
32905810-loan-data.csv	1.6 MB
32905812-loan-data-dictionary.xlsx	20.1 KB
32905828-A-Loan-Data-Example-with-NumPy-Template.ipynb	23.6 KB
32905830-A-Loan-Data-Example-with-NumPy-Complete.ipynb	69.8 KB
32905860-EUR-USD.csv	1.0 KB
32905864-loan-data.csv	1.6 MB
32905866-loan-data-dictionary.xlsx	20.1 KB
external-assets-links.txt	0.1 KB
/24 - The Absenteeism Exercise - Introduction/
001 An Introduction to the Absenteeism Exercise.mp4	3.8 MB
001 An Introduction to the Absenteeism Exercise_en.vtt	1.7 KB
002 The Absenteeism Exercise from a Business Perspective.mp4	7.5 MB
002 The Absenteeism Exercise from a Business Perspective_en.vtt	3.2 KB
003 The Dataset.mp4	5.9 MB
003 The Dataset_en.vtt	2.1 KB
32905886-Absenteeism-data.csv	32.8 KB
32905894-df-cleaned.csv	29.8 KB
external-assets-links.txt	0.1 KB
/25 - Solution to the Absenteeism Exercise/
001 How to Complete the Absenteeism Exercise.mp4	6.5 MB
001 How to Complete the Absenteeism Exercise_en.vtt	2.7 KB
002 Eyeball Your Data First.mp4	56.9 MB
002 Eyeball Your Data First_en.vtt	6.4 KB
003 Note Programming vs the Rest of the World.mp4	18.9 MB
003 Note Programming vs the Rest of the World_en.vtt	3.7 KB
004 Using a Statistical Approach to Solve Our Exercise.mp4	10.4 MB
004 Using a Statistical Approach to Solve Our Exercise_en.vtt	2.6 KB
005 Dropping the 'ID' Column.mp4	43.3 MB
005 Dropping the 'ID' Column_en.vtt	7.0 KB
006 Analysis of the 'Reason for Absence' Column.mp4	18.0 MB
006 Analysis of the 'Reason for Absence' Column_en.vtt	5.5 KB
007 Splitting the Reasons for Absence into Multiple Dummy Variables.mp4	66.9 MB
007 Splitting the Reasons for Absence into Multiple Dummy Variables_en.vtt	9.3 KB
008 Working with Dummy Variables - A Statistical Perspective.mp4	6.1 MB
008 Working with Dummy Variables - A Statistical Perspective_en.vtt	1.6 KB
009 Grouping the Reason for Absence Columns.mp4	53.8 MB
009 Grouping the Reason for Absence Columns_en.vtt	9.1 KB
010 Concatenating Columns in a pandas DataFrame.mp4	20.7 MB
010 Concatenating Columns in a pandas DataFrame_en.vtt	4.7 KB
011 Reordering Columns in a DataFrame.mp4	7.5 MB
011 Reordering Columns in a DataFrame_en.vtt	1.7 KB
012 Working on the 'Date' Column.mp4	27.3 MB
012 Working on the 'Date' Column_en.vtt	7.7 KB
013 Extracting the Month Value from the 'Date' Column.mp4	38.9 MB
013 Extracting the Month Value from the 'Date' Column_en.vtt	7.1 KB
014 Creating the 'Day of the Week' Column.mp4	24.5 MB
014 Creating the 'Day of the Week' Column_en.vtt	3.9 KB
015 Understanding the Meaning of 5 More Columns.mp4	12.8 MB
015 Understanding the Meaning of 5 More Columns_en.vtt	4.0 KB
016 Modifying the 'Education' Column.mp4	20.6 MB
016 Modifying the 'Education' Column_en.vtt	5.1 KB
017 Final Remarks on the Absenteeism Exercise.mp4	15.6 MB
017 Final Remarks on the Absenteeism Exercise_en.vtt	2.4 KB
32906066-Absenteeism-Exercise-Lectures.ipynb	8.8 MB
32906098-Absenteeism-Exercise-df-cleaned.ipynb	18.4 KB
32906104-Absenteeism-data.csv	32.8 KB
32906108-df-cleaned.csv	29.8 KB
32906114-data-cleaning-homework.pdf	139.0 KB
32906128-Absenteeism-Exercise-Lectures.ipynb	8.8 MB
32906132-Absenteeism-Exercise-df-cleaned.ipynb	18.4 KB
32906136-Absenteeism-data.csv	32.8 KB
32906140-df-cleaned.csv	29.8 KB
32906148-data-cleaning-homework.pdf	139.0 KB
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
external-assets-links.txt	0.1 KB
/26 - Data Visualization/
001 What Is Data Visualization and Why Is It Important.mp4	14.7 MB
001 What Is Data Visualization and Why Is It Important_en.vtt	6.1 KB
002 Why Learn Data Visualization.mp4	27.7 MB
002 Why Learn Data Visualization_en.vtt	7.3 KB
003 Choosing the Right Visualization – What Are Some Popular Approaches and Framewor.mp4	45.9 MB
003 Choosing the Right Visualization – What Are Some Popular Approaches and Framewor_en.vtt	8.1 KB
004 Introduction into Colors and Color Theory.mp4	58.9 MB
004 Introduction into Colors and Color Theory_en.vtt	10.6 KB
005 Bar Chart - Introduction - General Theory and Getting to Know the Dataset.mp4	11.3 MB
005 Bar Chart - Introduction - General Theory and Getting to Know the Dataset_en.vtt	1.9 KB
006 Bar Chart - How to Create a Bar Chart Using Python.mp4	33.4 MB
006 Bar Chart - How to Create a Bar Chart Using Python_en.vtt	11.8 KB
007 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph.mp4	8.6 MB
007 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph_en.vtt	3.3 KB
008 Pie Chart - Introduction - General Theory and Dataset.mp4	23.8 MB
008 Pie Chart - Introduction - General Theory and Dataset_en.vtt	4.9 KB
009 Pie Chart - How to Create a Pie Chart Using Python.mp4	17.1 MB
009 Pie Chart - How to Create a Pie Chart Using Python_en.vtt	6.2 KB
010 Pie Chart – Interpreting the Pie Chart.mp4	10.2 MB
010 Pie Chart – Interpreting the Pie Chart_en.vtt	1.8 KB
011 Pie Chart - Why You Should Never Create a Pie Graph.mp4	48.6 MB
011 Pie Chart - Why You Should Never Create a Pie Graph_en.vtt	8.5 KB
012 Stacked Area Chart - Introduction - General Theory. Getting to Know the Dataset.mp4	8.0 MB
012 Stacked Area Chart - Introduction - General Theory. Getting to Know the Dataset_en.vtt	3.9 KB
013 Stacked Area Chart - How to Create a Stacked Area Chart Using Python.mp4	26.3 MB
013 Stacked Area Chart - How to Create a Stacked Area Chart Using Python_en.vtt	7.0 KB
014 Stacked Area Chart - Interpreting the Stacked Area Graph.mp4	10.1 MB
014 Stacked Area Chart - Interpreting the Stacked Area Graph_en.vtt	3.1 KB
015 Stacked Area Chart - How to Make a Good Stacked Area Chart.mp4	13.2 MB
015 Stacked Area Chart - How to Make a Good Stacked Area Chart_en.vtt	4.7 KB
016 Line Chart - Introduction - General Theory. Getting to Know the Dataset.mp4	5.3 MB
016 Line Chart - Introduction - General Theory. Getting to Know the Dataset_en.vtt	2.4 KB
017 Line Chart - How to Create a Line Chart in Python.mp4	42.2 MB
017 Line Chart - How to Create a Line Chart in Python_en.vtt	7.2 KB
018 Line Chart - Interpretation.mp4	34.3 MB
018 Line Chart - Interpretation_en.vtt	3.7 KB
019 Line Chart - How to Make a Good Line Chart.mp4	28.5 MB
019 Line Chart - How to Make a Good Line Chart_en.vtt	8.0 KB
020 Histogram - Introduction - General Theory. Getting to Know the Dataset.mp4	15.0 MB
020 Histogram - Introduction - General Theory. Getting to Know the Dataset_en.vtt	5.4 KB
021 Histogram - How to Create a Histogram Using Python.mp4	15.3 MB
021 Histogram - How to Create a Histogram Using Python_en.vtt	5.3 KB
022 Histogram – Interpreting the Histogram.mp4	5.1 MB
022 Histogram – Interpreting the Histogram_en.vtt	2.4 KB
023 Histogram – Choosing the Number of Bins in a Histogram.mp4	22.1 MB
023 Histogram – Choosing the Number of Bins in a Histogram_en.vtt	6.3 KB
024 Histogram - How to Make a Good Histogram.mp4	22.7 MB
024 Histogram - How to Make a Good Histogram_en.vtt	5.8 KB
025 Scatter Plot - Introduction - General Theory. Getting to Know the Dataset.mp4	9.2 MB
025 Scatter Plot - Introduction - General Theory. Getting to Know the Dataset_en.vtt	3.1 KB
026 Scatter Plot - How to Create a Scatter Plot Using Python.mp4	31.2 MB
026 Scatter Plot - How to Create a Scatter Plot Using Python_en.vtt	8.3 KB
027 Scatter Plot – Interpreting the Scatter Plot.mp4	10.7 MB
027 Scatter Plot – Interpreting the Scatter Plot_en.vtt	3.5 KB
028 Scatter Plot - How to Make a Good Scatter Plot.mp4	19.5 MB
028 Scatter Plot - How to Make a Good Scatter Plot_en.vtt	3.8 KB
029 Regression Plot - Introduction - General Theory. Getting to Know the Dataset.mp4	9.8 MB
029 Regression Plot - Introduction - General Theory. Getting to Know the Dataset_en.vtt	3.5 KB
030 Regression Plot - How to Create a Regression Scatter Plot Using Python.mp4	22.8 MB
030 Regression Plot - How to Create a Regression Scatter Plot Using Python_en.vtt	6.9 KB
031 Regression Plot – Interpreting the Regression Scatter Plot.mp4	18.3 MB
031 Regression Plot – Interpreting the Regression Scatter Plot_en.vtt	5.3 KB
032 Regression Plot - How to Make a Good Regression Plot.mp4	13.0 MB
032 Regression Plot - How to Make a Good Regression Plot_en.vtt	4.0 KB
033 Bar and Line Chart - Introduction - General Theory. Getting to Know the Dataset.mp4	9.8 MB
033 Bar and Line Chart - Introduction - General Theory. Getting to Know the Dataset_en.vtt	3.8 KB
034 Bar and Line Chart - How to Create a Combination Bar and Line Graph Using Python.mp4	27.6 MB
034 Bar and Line Chart - How to Create a Combination Bar and Line Graph Using Python_en.vtt	7.5 KB
035 Bar and Line Chart – Interpreting the Combination Bar and Line Graph.mp4	8.1 MB
035 Bar and Line Chart – Interpreting the Combination Bar and Line Graph_en.vtt	3.0 KB
036 Bar and Line Chart – How to Make a Good Bar and Line Graph.mp4	16.9 MB
036 Bar and Line Chart – How to Make a Good Bar and Line Graph_en.vtt	4.7 KB
037 Data Visualization - Exercise.html	0.9 KB
32906196-Data-Viz-Notebook-Template.ipynb	5.6 KB
32906202-Data-Viz-Homework-Notebook.ipynb	12.1 KB
32906208-Data-Visualization-Course-Notes.pdf	1.7 MB
32906548-Data-Viz-Homework-Solution-Notebook.ipynb	704.1 KB
32906550-Data-Viz-Notebook-with-Comments.ipynb	26.8 KB
external-assets-links.txt	2.0 KB
/27 - Conclusion/
001 Conclusion.mp4	17.0 MB
001 Conclusion_en.vtt	3.1 KB
/
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
Total files 703