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

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大小: 5.1 GB
文件数: 703
分类: 视频
热度: 29
最近活跃: 10 小时前

文件列表

0. Websites you may like/[CourseClub.Me].url122 B
0. Websites you may like/[GigaCourse.Com].url49 B
01 - Introduction to the Course/001 A Practical Example - What Will You Learn in This Course.mp458.1 MB
01 - Introduction to the Course/001 A Practical Example - What Will You Learn in This Course_en.vtt6.3 KB
01 - Introduction to the Course/002 What Does the Course Cover.mp460.8 MB
01 - Introduction to the Course/002 What Does the Course Cover_en.vtt7.6 KB
01 - Introduction to the Course/003 Download All Resources.html693 B
01 - Introduction to the Course/004 FAQ.html18.2 KB
01 - Introduction to the Course/[CourseClub.Me].url122 B
01 - Introduction to the Course/[GigaCourse.Com].url49 B
02 - Introduction to Data Analytics/001 Introduction to the World of Business and Data.mp410.4 MB
02 - Introduction to Data Analytics/001 Introduction to the World of Business and Data_en.vtt3.2 KB
02 - Introduction to Data Analytics/002 Relevant Terms Explained.mp417.1 MB
02 - Introduction to Data Analytics/002 Relevant Terms Explained_en.vtt7.3 KB
02 - Introduction to Data Analytics/003 Data Analyst Compared to Other Data Jobs.mp48.2 MB
02 - Introduction to Data Analytics/003 Data Analyst Compared to Other Data Jobs_en.vtt3.1 KB
02 - Introduction to Data Analytics/004 Data Analyst Job Description.mp419.9 MB
02 - Introduction to Data Analytics/004 Data Analyst Job Description_en.vtt7.4 KB
02 - Introduction to Data Analytics/005 Why Python.mp415.1 MB
02 - Introduction to Data Analytics/005 Why Python_en.vtt6.6 KB
03 - Setting up the Environment/001 Introduction.mp413.8 MB
03 - Setting up the Environment/001 Introduction_en.vtt1.9 KB
03 - Setting up the Environment/002 Programming Explained in a Few Minutes.mp414.3 MB
03 - Setting up the Environment/002 Programming Explained in a Few Minutes_en.vtt6.1 KB
03 - Setting up the Environment/003 Jupyter - Introduction.mp48.2 MB
03 - Setting up the Environment/003 Jupyter - Introduction_en.vtt4.1 KB
03 - Setting up the Environment/004 Jupyter - Installing Anaconda.mp421.5 MB
03 - Setting up the Environment/004 Jupyter - Installing Anaconda_en.vtt5.0 KB
03 - Setting up the Environment/005 Jupyter - Intro to Using Jupyter.mp45.9 MB
03 - Setting up the Environment/005 Jupyter - Intro to Using Jupyter_en.vtt3.2 KB
03 - Setting up the Environment/006 Jupyter - Working with Notebook Files.mp418.6 MB
03 - Setting up the Environment/006 Jupyter - Working with Notebook Files_en.vtt6.7 KB
03 - Setting up the Environment/007 Jupyter - Using Shortcuts.mp46.7 MB
03 - Setting up the Environment/007 Jupyter - Using Shortcuts_en.vtt4.1 KB
03 - Setting up the Environment/008 Jupyter - Handling Error Messages.mp413.3 MB
03 - Setting up the Environment/008 Jupyter - Handling Error Messages_en.vtt7.8 KB
03 - Setting up the Environment/009 Jupyter - Restarting the Kernel.mp44.7 MB
03 - Setting up the Environment/009 Jupyter - Restarting the Kernel_en.vtt2.3 KB
03 - Setting up the Environment/32894054-Setting-Up-the-Environment-Jupyter-Lectures.ipynb4.4 KB
03 - Setting up the Environment/32894066-Jupyter-Shortcuts.pdf589.6 KB
03 - Setting up the Environment/32894068-Setting-Up-the-Environment-Jupyter-Lectures.ipynb4.4 KB
03 - Setting up the Environment/external-assets-links.txt123 B
04 - Python Basics/001 Python Variables.mp414.1 MB
04 - Python Basics/001 Python Variables_en.vtt4.0 KB
04 - Python Basics/002 Types of Data - Numbers and Boolean Values.mp413.7 MB
04 - Python Basics/002 Types of Data - Numbers and Boolean Values_en.vtt3.1 KB
04 - Python Basics/003 Types of Data - Strings.mp419.7 MB
04 - Python Basics/003 Types of Data - Strings_en.vtt6.2 KB
04 - Python Basics/004 Basic Python Syntax - Arithmetic Operators.mp47.3 MB
04 - Python Basics/004 Basic Python Syntax - Arithmetic Operators_en.vtt3.8 KB
04 - Python Basics/005 Basic Python Syntax - The Double Equality Sign.mp42.7 MB
04 - Python Basics/005 Basic Python Syntax - The Double Equality Sign_en.vtt1.6 KB
04 - Python Basics/006 Basic Python Syntax - Reassign Values.mp41.9 MB
04 - Python Basics/006 Basic Python Syntax - Reassign Values_en.vtt1.2 KB
04 - Python Basics/007 Basic Python Syntax - Add Comments.mp42.4 MB
04 - Python Basics/007 Basic Python Syntax - Add Comments_en.vtt1.6 KB
04 - Python Basics/008 Basic Python Syntax - Line Continuation.mp41.2 MB
04 - Python Basics/008 Basic Python Syntax - Line Continuation_en.vtt1.0 KB
04 - Python Basics/009 Basic Python Syntax - Indexing Elements.mp42.4 MB
04 - Python Basics/009 Basic Python Syntax - Indexing Elements_en.vtt1.4 KB
04 - Python Basics/010 Basic Python Syntax - Indentation.mp42.8 MB
04 - Python Basics/010 Basic Python Syntax - Indentation_en.vtt1.9 KB
04 - Python Basics/011 Operators - Comparison Operators.mp44.2 MB
04 - Python Basics/011 Operators - Comparison Operators_en.vtt2.2 KB
04 - Python Basics/012 Operators - Logical and Identity Operators.mp415.0 MB
04 - Python Basics/012 Operators - Logical and Identity Operators_en.vtt5.1 KB
04 - Python Basics/013 Conditional Statements - The IF Statement.mp45.3 MB
04 - Python Basics/013 Conditional Statements - The IF Statement_en.vtt3.1 KB
04 - Python Basics/014 Conditional Statements - The ELSE Statement.mp45.2 MB
04 - Python Basics/014 Conditional Statements - The ELSE Statement_en.vtt2.7 KB
04 - Python Basics/015 Conditional Statements - The ELIF Statement.mp414.3 MB
04 - Python Basics/015 Conditional Statements - The ELIF Statement_en.vtt5.8 KB
04 - Python Basics/016 Conditional Statements - A Note on Boolean Values.mp44.2 MB
04 - Python Basics/016 Conditional Statements - A Note on Boolean Values_en.vtt2.6 KB
04 - Python Basics/017 Functions - Defining a Function in Python.mp43.2 MB
04 - Python Basics/017 Functions - Defining a Function in Python_en.vtt2.1 KB
04 - Python Basics/018 Functions - Creating a Function with a Parameter.mp410.0 MB
04 - Python Basics/018 Functions - Creating a Function with a Parameter_en.vtt3.8 KB
04 - Python Basics/019 Functions - Another Way to Define a Function.mp46.5 MB
04 - Python Basics/019 Functions - Another Way to Define a Function_en.vtt2.5 KB
04 - Python Basics/020 Functions - Using a Function in Another Function.mp43.2 MB
04 - Python Basics/020 Functions - Using a Function in Another Function_en.vtt1.8 KB
04 - Python Basics/021 Functions - Combining Conditional Statements and Functions.mp46.1 MB
04 - Python Basics/021 Functions - Combining Conditional Statements and Functions_en.vtt3.1 KB
04 - Python Basics/022 Functions - Creating Functions That Contain a Few Arguments.mp42.8 MB
04 - Python Basics/022 Functions - Creating Functions That Contain a Few Arguments_en.vtt1.2 KB
04 - Python Basics/023 Functions - Notable Built-in Functions in Python.mp48.5 MB
04 - Python Basics/023 Functions - Notable Built-in Functions in Python_en.vtt3.7 KB
04 - Python Basics/024 Sequences - Lists.mp49.5 MB
04 - Python Basics/024 Sequences - Lists_en.vtt4.2 KB
04 - Python Basics/025 Sequences - Using Methods.mp47.9 MB
04 - Python Basics/025 Sequences - Using Methods_en.vtt3.5 KB
04 - Python Basics/026 Sequences - List Slicing.mp419.2 MB
04 - Python Basics/026 Sequences - List Slicing_en.vtt4.6 KB
04 - Python Basics/027 Sequences - Tuples.mp47.4 MB
04 - Python Basics/027 Sequences - Tuples_en.vtt3.0 KB
04 - Python Basics/028 Sequences - Dictionaries.mp410.1 MB
04 - Python Basics/028 Sequences - Dictionaries_en.vtt3.7 KB
04 - Python Basics/029 Iteration - For Loops.mp45.5 MB
04 - Python Basics/029 Iteration - For Loops_en.vtt3.1 KB
04 - Python Basics/030 Iteration - While Loops and Incrementing.mp49.2 MB
04 - Python Basics/030 Iteration - While Loops and Incrementing_en.vtt2.5 KB
04 - Python Basics/031 Iteration - Create Lists with the range() Function.mp47.2 MB
04 - Python Basics/031 Iteration - Create Lists with the range() Function_en.vtt4.4 KB
04 - Python Basics/032 Iteration - Use Conditional Statements and Loops Together.mp47.1 MB
04 - Python Basics/032 Iteration - Use Conditional Statements and Loops Together_en.vtt3.3 KB
04 - Python Basics/033 Iteration - Conditional Statements, Functions, and Loops.mp44.3 MB
04 - Python Basics/033 Iteration - Conditional Statements, Functions, and Loops_en.vtt2.1 KB
04 - Python Basics/034 Iteration - Iterating over Dictionaries.mp46.5 MB
04 - Python Basics/034 Iteration - Iterating over Dictionaries_en.vtt3.2 KB
04 - Python Basics/32894082-Python-Basics-Lectures.ipynb74.9 KB
04 - Python Basics/32894084-Python-Basics-Exercises.ipynb42.1 KB
04 - Python Basics/32894100-Python-Basics-Solutions.ipynb73.5 KB
04 - Python Basics/32894124-Python-Basics-Lectures.ipynb74.9 KB
04 - Python Basics/32894132-Python-Basics-Exercises.ipynb42.1 KB
04 - Python Basics/32894142-Python-Basics-Solutions.ipynb73.5 KB
04 - Python Basics/external-assets-links.txt110 B
05 - Fundamentals for Coding in Python/001 Object-Oriented Programming (OOP).mp48.4 MB
05 - Fundamentals for Coding in Python/001 Object-Oriented Programming (OOP)_en.vtt5.4 KB
05 - Fundamentals for Coding in Python/002 Modules, Packages, and the Python Standard Library.mp413.6 MB
05 - Fundamentals for Coding in Python/002 Modules, Packages, and the Python Standard Library_en.vtt5.8 KB
05 - Fundamentals for Coding in Python/003 Importing Modules.mp47.4 MB
05 - Fundamentals for Coding in Python/003 Importing Modules_en.vtt4.1 KB
05 - Fundamentals for Coding in Python/004 Introduction to Using NumPy and pandas.mp431.9 MB
05 - Fundamentals for Coding in Python/004 Introduction to Using NumPy and pandas_en.vtt12.1 KB
05 - Fundamentals for Coding in Python/005 What is Software Documentation.mp413.4 MB
05 - Fundamentals for Coding in Python/005 What is Software Documentation_en.vtt5.6 KB
05 - Fundamentals for Coding in Python/006 The Python Documentation.mp443.9 MB
05 - Fundamentals for Coding in Python/006 The Python Documentation_en.vtt8.4 KB
05 - Fundamentals for Coding in Python/32894314-Importing-Modules-Lecture.ipynb12.6 KB
05 - Fundamentals for Coding in Python/32894342-Importing-Modules-Lecture.ipynb12.6 KB
05 - Fundamentals for Coding in Python/external-assets-links.txt130 B
06 - Mathematics for Python/001 What Is а Matrix_en.vtt3.9 KB
06 - Mathematics for Python/002 Scalars and Vectors.mp48.4 MB
06 - Mathematics for Python/002 Scalars and Vectors_en.vtt3.4 KB
06 - Mathematics for Python/003 Linear Algebra and Geometry.mp413.6 MB
06 - Mathematics for Python/003 Linear Algebra and Geometry_en.vtt3.5 KB
06 - Mathematics for Python/004 Arrays in Python.mp419.0 MB
06 - Mathematics for Python/004 Arrays in Python_en.vtt5.1 KB
06 - Mathematics for Python/005 What Is a Tensor.mp411.6 MB
06 - Mathematics for Python/005 What Is a Tensor_en.vtt3.2 KB
06 - Mathematics for Python/006 Adding and Subtracting Matrices.mp422.1 MB
06 - Mathematics for Python/006 Adding and Subtracting Matrices_en.vtt3.5 KB
06 - Mathematics for Python/007 Errors When Adding Matrices.mp45.8 MB
06 - Mathematics for Python/007 Errors When Adding Matrices_en.vtt2.3 KB
06 - Mathematics for Python/008 Transpose.mp420.5 MB
06 - Mathematics for Python/008 Transpose_en.vtt5.0 KB
06 - Mathematics for Python/009 Dot Product of Vectors.mp411.4 MB
06 - Mathematics for Python/009 Dot Product of Vectors_en.vtt3.8 KB
06 - Mathematics for Python/010 Dot Product of Matrices.mp426.4 MB
06 - Mathematics for Python/010 Dot Product of Matrices_en.vtt8.3 KB
06 - Mathematics for Python/011 Why is Linear Algebra Useful.mp486.2 MB
06 - Mathematics for Python/011 Why is Linear Algebra Useful_en.vtt10.9 KB
06 - Mathematics for Python/32896320-Mathematics-for-Python-Lectures.ipynb34.8 KB
06 - Mathematics for Python/32896326-Mathematics-for-Python-Lectures.ipynb34.8 KB
06 - Mathematics for Python/[CourseClub.Me].url122 B
06 - Mathematics for Python/[GigaCourse.Com].url49 B
06 - Mathematics for Python/external-assets-links.txt119 B
07 - NumPy Basics/001 The NumPy Package and Why We Use It.mp413.0 MB
07 - NumPy Basics/001 The NumPy Package and Why We Use It_en.vtt5.0 KB
07 - NumPy Basics/002 InstallingUpgrading NumPy.mp43.9 MB
07 - NumPy Basics/002 InstallingUpgrading NumPy_en.vtt2.4 KB
07 - NumPy Basics/003 Ndarray.mp47.6 MB
07 - NumPy Basics/003 Ndarray_en.vtt3.7 KB
07 - NumPy Basics/004 The NumPy Documentation.mp415.8 MB
07 - NumPy Basics/004 The NumPy Documentation_en.vtt6.0 KB
07 - NumPy Basics/005 NumPy Basics - Exercise.html841 B
07 - NumPy Basics/32896332-Intro-to-NumPy-Exercise.ipynb3.8 KB
07 - NumPy Basics/32896336-Intro-to-NumPy-Solution.ipynb7.2 KB
07 - NumPy Basics/32896340-Intro-to-NumPy-Template.ipynb1.9 KB
07 - NumPy Basics/32896342-Intro-to-NumPy-Complete.ipynb3.2 KB
07 - NumPy Basics/external-assets-links.txt109 B
08 - Pandas - Basics/001 Introduction to the pandas Library.mp414.2 MB
08 - Pandas - Basics/001 Introduction to the pandas Library_en.vtt7.3 KB
08 - Pandas - Basics/002 Installing and Running pandas.mp437.7 MB
08 - Pandas - Basics/002 Installing and Running pandas_en.vtt6.9 KB
08 - Pandas - Basics/003 Introduction to pandas Series.mp424.6 MB
08 - Pandas - Basics/003 Introduction to pandas Series_en.vtt9.3 KB
08 - Pandas - Basics/004 Working with Attributes in Python.mp426.8 MB
08 - Pandas - Basics/004 Working with Attributes in Python_en.vtt6.7 KB
08 - Pandas - Basics/005 Using an Index in pandas.mp415.7 MB
08 - Pandas - Basics/005 Using an Index in pandas_en.vtt5.0 KB
08 - Pandas - Basics/006 Label-based vs Position-based Indexing.mp424.5 MB
08 - Pandas - Basics/006 Label-based vs Position-based Indexing_en.vtt5.9 KB
08 - Pandas - Basics/007 More on Working with Indices in Python.mp433.2 MB
08 - Pandas - Basics/007 More on Working with Indices in Python_en.vtt6.8 KB
08 - Pandas - Basics/008 Using Methods in Python - Part I.mp417.0 MB
08 - Pandas - Basics/008 Using Methods in Python - Part I_en.vtt6.2 KB
08 - Pandas - Basics/009 Using Methods in Python - Part II.mp49.2 MB
08 - Pandas - Basics/009 Using Methods in Python - Part II_en.vtt3.3 KB
08 - Pandas - Basics/010 Parameters vs Arguments.mp416.8 MB
08 - Pandas - Basics/010 Parameters vs Arguments_en.vtt5.4 KB
08 - Pandas - Basics/011 the pandas Documentation.mp452.0 MB
08 - Pandas - Basics/011 the pandas Documentation_en.vtt11.9 KB
08 - Pandas - Basics/012 Introduction to pandas DataFrames.mp411.7 MB
08 - Pandas - Basics/012 Introduction to pandas DataFrames_en.vtt7.2 KB
08 - Pandas - Basics/013 Creating DataFrames from Scratch - Part I.mp426.1 MB
08 - Pandas - Basics/013 Creating DataFrames from Scratch - Part I_en.vtt7.4 KB
08 - Pandas - Basics/014 Creating DataFrames from Scratch - Part II.mp429.8 MB
08 - Pandas - Basics/014 Creating DataFrames from Scratch - Part II_en.vtt6.3 KB
08 - Pandas - Basics/015 Additional Notes on Using DataFrames.mp412.4 MB
08 - Pandas - Basics/015 Additional Notes on Using DataFrames_en.vtt2.6 KB
08 - Pandas - Basics/016 pandas Basics - Conclusion.html1.0 KB
08 - Pandas - Basics/32896346-Introduction-to-pandas-DataFrames.pdf1.5 MB
08 - Pandas - Basics/32896360-pandas-Basics-Lectures.ipynb28.4 KB
08 - Pandas - Basics/32896372-pandas-Basics-Exercises.ipynb20.8 KB
08 - Pandas - Basics/32896374-pandas-Basics-Solutions.ipynb42.5 KB
08 - Pandas - Basics/32896382-Data-Analyst-pandas-Basics-Conclusion.pdf51.3 KB
08 - Pandas - Basics/32896384-pandas-Basics-Lectures.ipynb28.4 KB
08 - Pandas - Basics/32896388-pandas-Basics-Exercises.ipynb20.8 KB
08 - Pandas - Basics/32896390-pandas-Basics-Solutions.ipynb42.5 KB
08 - Pandas - Basics/external-assets-links.txt240 B
09 - Working with Text Files/001 Working with Files in Python - An Introduction.mp411.7 MB
09 - Working with Text Files/001 Working with Files in Python - An Introduction_en.vtt5.1 KB
09 - Working with Text Files/002 File vs File Object, Read vs Parse.mp49.2 MB
09 - Working with Text Files/002 File vs File Object, Read vs Parse_en.vtt3.7 KB
09 - Working with Text Files/003 Structured vs Semi-Structured and Unstructured Data.mp410.9 MB
09 - Working with Text Files/003 Structured vs Semi-Structured and Unstructured Data_en.vtt4.4 KB
09 - Working with Text Files/004 Data Connectivity through Text Files.mp410.6 MB
09 - Working with Text Files/004 Data Connectivity through Text Files_en.vtt4.1 KB
09 - Working with Text Files/005 Principles of Importing Data in Python.mp416.4 MB
09 - Working with Text Files/005 Principles of Importing Data in Python_en.vtt6.5 KB
09 - Working with Text Files/006 More on Text Files (.txt vs .csv).mp412.8 MB
09 - Working with Text Files/006 More on Text Files (.txt vs .csv)_en.vtt5.9 KB
09 - Working with Text Files/007 Fixed-width Files.mp44.7 MB
09 - Working with Text Files/007 Fixed-width Files_en.vtt2.0 KB
09 - Working with Text Files/008 Common Naming Conventions Used in Programming.mp48.2 MB
09 - Working with Text Files/008 Common Naming Conventions Used in Programming_en.vtt5.3 KB
09 - Working with Text Files/009 Importing Text Files in Python ( open() ).mp424.8 MB
09 - Working with Text Files/009 Importing Text Files in Python ( open() )_en.vtt11.8 KB
09 - Working with Text Files/010 Importing Text Files in Python ( with open() ).mp426.3 MB
09 - Working with Text Files/010 Importing Text Files in Python ( with open() )_en.vtt6.6 KB
09 - Working with Text Files/011 Importing .csv Files with pandas - Part I.mp449.8 MB
09 - Working with Text Files/011 Importing .csv Files with pandas - Part I_en.vtt7.5 KB
09 - Working with Text Files/012 Importing .csv Files with pandas - Part II.mp410.9 MB
09 - Working with Text Files/012 Importing .csv Files with pandas - Part II_en.vtt3.2 KB
09 - Working with Text Files/013 Importing .csv Files with pandas - Part III.mp475.1 MB
09 - Working with Text Files/013 Importing .csv Files with pandas - Part III_en.vtt8.1 KB
09 - Working with Text Files/014 Importing Data with the index_col Parameter.mp411.7 MB
09 - Working with Text Files/014 Importing Data with the index_col Parameter_en.vtt3.4 KB
09 - Working with Text Files/015 Importing Data with NumPy - .loadtxt() vs genfromtxt().mp456.5 MB
09 - Working with Text Files/015 Importing Data with NumPy - .loadtxt() vs genfromtxt()_en.vtt12.2 KB
09 - Working with Text Files/016 Importing Data with NumPy - Partial Cleaning While Importing.mp430.5 MB
09 - Working with Text Files/016 Importing Data with NumPy - Partial Cleaning While Importing_en.vtt8.2 KB
09 - Working with Text Files/017 Importing Data with NumPy - Exercise.html1.1 KB
09 - Working with Text Files/018 Importing .json Files.mp448.5 MB
09 - Working with Text Files/018 Importing .json Files_en.vtt6.5 KB
09 - Working with Text Files/019 Prelude to Working with Excel Files in Python.mp443.0 MB
09 - Working with Text Files/019 Prelude to Working with Excel Files in Python_en.vtt4.6 KB
09 - Working with Text Files/020 Working with Excel Data (the .xlsx Format).mp411.6 MB
09 - Working with Text Files/020 Working with Excel Data (the .xlsx Format)_en.vtt2.4 KB
09 - Working with Text Files/021 An Important Exercise on Importing Data in Python.mp443.0 MB
09 - Working with Text Files/021 An Important Exercise on Importing Data in Python_en.vtt7.4 KB
09 - Working with Text Files/022 Importing Data with the pandas' Squeeze Parameter.mp411.6 MB
09 - Working with Text Files/022 Importing Data with the pandas' Squeeze Parameter_en.vtt3.0 KB
09 - Working with Text Files/023 A Note on Importing Files in Jupyter.mp419.7 MB
09 - Working with Text Files/023 A Note on Importing Files in Jupyter_en.vtt4.0 KB
09 - Working with Text Files/024 Saving Your Data with pandas.mp427.7 MB
09 - Working with Text Files/024 Saving Your Data with pandas_en.vtt3.9 KB
09 - Working with Text Files/025 Saving Your Data with NumPy - np.save().mp418.9 MB
09 - Working with Text Files/025 Saving Your Data with NumPy - np.save()_en.vtt6.5 KB
09 - Working with Text Files/026 Saving Your Data with NumPy - np.savez().mp415.4 MB
09 - Working with Text Files/026 Saving Your Data with NumPy - np.savez()_en.vtt5.8 KB
09 - Working with Text Files/027 Saving Your Data with NumPy - np.savetxt().mp420.8 MB
09 - Working with Text Files/027 Saving Your Data with NumPy - np.savetxt()_en.vtt4.3 KB
09 - Working with Text Files/028 Saving Your Data with NumPy - Exercise.html1.2 KB
09 - Working with Text Files/029 Working with Text Files - Conclusion.mp42.1 MB
09 - Working with Text Files/029 Working with Text Files - Conclusion_en.vtt985 B
09 - Working with Text Files/28764174-Data-Analyst-Common-Naming-Conventions.pdf643.8 KB
09 - Working with Text Files/32896402-Common-Naming-Conventions.pdf643.8 KB
09 - Working with Text Files/32896406-Importing-Text-Files-in-Python-open.ipynb2.1 KB
09 - Working with Text Files/32896416-source.txt39 B
09 - Working with Text Files/32896436-Importing-Text-Files-in-Python-with-open.ipynb2.5 KB
09 - Working with Text Files/32896438-source.txt39 B
09 - Working with Text Files/32896496-Importing.csv-Files-with-pandas-Part-I.ipynb1.6 KB
09 - Working with Text Files/32896534-Lending-company.xlsx92.6 KB
09 - Working with Text Files/32896536-Lending-company-single-column-data.csv109.3 KB
09 - Working with Text Files/32896550-Importing-Text-Data-Template.ipynb2.6 KB
09 - Working with Text Files/32896554-Importing-Text-Data-Complete.ipynb13.1 KB
09 - Working with Text Files/32896560-Lending-Company-Numeric-Data.csv29.5 KB
09 - Working with Text Files/32896568-Lending-Company-Numeric-Data-NAN.csv28.6 KB
09 - Working with Text Files/32896596-Lending-company.json213.5 KB
09 - Working with Text Files/32896612-Customer-Gender.csv7.4 KB
09 - Working with Text Files/32896668-Saving-Data-NP-Template.ipynb3.2 KB
09 - Working with Text Files/32896670-Saving-Data-NP-Complete.ipynb9.8 KB
09 - Working with Text Files/32896676-Lending-Company-Saving.csv58.4 KB
09 - Working with Text Files/32896694-Importing-Text-Files-in-Python-open.ipynb2.1 KB
09 - Working with Text Files/32896708-source.txt39 B
09 - Working with Text Files/external-assets-links.txt1.1 KB
10 - Working with Text Data/001 Working with Text Data and Argument Specifiers.mp421.4 MB
10 - Working with Text Data/001 Working with Text Data and Argument Specifiers_en.vtt11.5 KB
10 - Working with Text Data/002 Manipulating Python Strings.mp412.3 MB
10 - Working with Text Data/002 Manipulating Python Strings_en.vtt5.3 KB
10 - Working with Text Data/003 Using Various Python String Methods - Part I.mp423.6 MB
10 - Working with Text Data/003 Using Various Python String Methods - Part I_en.vtt8.6 KB
10 - Working with Text Data/004 Using Various Python String Methods - Part II.mp420.4 MB
10 - Working with Text Data/004 Using Various Python String Methods - Part II_en.vtt8.8 KB
10 - Working with Text Data/005 String Accessors.mp430.6 MB
10 - Working with Text Data/005 String Accessors_en.vtt6.1 KB
10 - Working with Text Data/006 Using the .format() Method.mp421.7 MB
10 - Working with Text Data/006 Using the .format() Method_en.vtt10.8 KB
10 - Working with Text Data/31655162-Working-with-Text-Data-Lectures.ipynb15.9 KB
10 - Working with Text Data/31655170-Working-with-Text-Data-Exercises.ipynb17.3 KB
10 - Working with Text Data/31655194-Working-with-Text-Data-Solutions.ipynb26.2 KB
10 - Working with Text Data/31655208-Working-with-Text-Data-Lectures.ipynb15.9 KB
10 - Working with Text Data/31655214-Working-with-Text-Data-Exercises.ipynb17.3 KB
10 - Working with Text Data/31655222-Working-with-Text-Data-Solutions.ipynb26.2 KB
10 - Working with Text Data/[CourseClub.Me].url122 B
10 - Working with Text Data/[GigaCourse.Com].url49 B
11 - Must-Know Python Tools/001 Iterating Over Range Objects.mp411.1 MB
11 - Must-Know Python Tools/001 Iterating Over Range Objects_en.vtt5.3 KB
11 - Must-Know Python Tools/002 Nested For Loops - Introduction.mp412.2 MB
11 - Must-Know Python Tools/002 Nested For Loops - Introduction_en.vtt7.3 KB
11 - Must-Know Python Tools/003 Triple Nested For Loops.mp419.4 MB
11 - Must-Know Python Tools/003 Triple Nested For Loops_en.vtt7.1 KB
11 - Must-Know Python Tools/004 List Comprehensions.mp443.2 MB
11 - Must-Know Python Tools/004 List Comprehensions_en.vtt10.9 KB
11 - Must-Know Python Tools/005 Anonymous (Lambda) Functions.mp433.7 MB
11 - Must-Know Python Tools/005 Anonymous (Lambda) Functions_en.vtt8.7 KB
11 - Must-Know Python Tools/32896718-Must-Know-Python-Tools-Lectures.ipynb10.6 KB
11 - Must-Know Python Tools/32896720-Must-Know-Python-Tools-Exercises.ipynb8.6 KB
11 - Must-Know Python Tools/32896722-Must-Know-Python-Tools-Solutions.ipynb10.6 KB
11 - Must-Know Python Tools/32896724-Must-Know-Python-Tools-Lectures.ipynb10.6 KB
11 - Must-Know Python Tools/32896728-Must-Know-Python-Tools-Exercises.ipynb8.6 KB
11 - Must-Know Python Tools/32896730-Must-Know-Python-Tools-Solutions.ipynb10.6 KB
11 - Must-Know Python Tools/external-assets-links.txt119 B
12 - Data GatheringData Collection/001 What is data gatheringdata collection.mp419.2 MB
12 - Data GatheringData Collection/001 What is data gatheringdata collection_en.vtt9.5 KB
13 - APIs (POST requests are not needed for this course)/001 Overview of APIs.mp410.4 MB
13 - APIs (POST requests are not needed for this course)/001 Overview of APIs_en.vtt4.1 KB
13 - APIs (POST requests are not needed for this course)/002 GET and POST Requests.mp46.3 MB
13 - APIs (POST requests are not needed for this course)/002 GET and POST Requests_en.vtt3.5 KB
13 - APIs (POST requests are not needed for this course)/003 Data Exchange Format for APIs JSON.mp45.7 MB
13 - APIs (POST requests are not needed for this course)/003 Data Exchange Format for APIs JSON_en.vtt3.2 KB
13 - APIs (POST requests are not needed for this course)/004 Introducing the Exchange Rates API.mp425.2 MB
13 - APIs (POST requests are not needed for this course)/004 Introducing the Exchange Rates API_en.vtt5.4 KB
13 - APIs (POST requests are not needed for this course)/005 Including Parameters in a GET Request.mp410.8 MB
13 - APIs (POST requests are not needed for this course)/005 Including Parameters in a GET Request_en.vtt3.8 KB
13 - APIs (POST requests are not needed for this course)/006 More Functionalities of the Exchange Rates API.mp416.6 MB
13 - APIs (POST requests are not needed for this course)/006 More Functionalities of the Exchange Rates API_en.vtt5.2 KB
13 - APIs (POST requests are not needed for this course)/007 Coding a Simple Currency Conversion Calculator.mp422.4 MB
13 - APIs (POST requests are not needed for this course)/007 Coding a Simple Currency Conversion Calculator_en.vtt5.4 KB
13 - APIs (POST requests are not needed for this course)/008 iTunes API.mp439.6 MB
13 - APIs (POST requests are not needed for this course)/008 iTunes API_en.vtt5.2 KB
13 - APIs (POST requests are not needed for this course)/009 iTunes API Homework.html256 B
13 - APIs (POST requests are not needed for this course)/010 iTunes API Structuring and Exporting the Data.mp412.9 MB
13 - APIs (POST requests are not needed for this course)/010 iTunes API Structuring and Exporting the Data_en.vtt2.6 KB
13 - APIs (POST requests are not needed for this course)/011 Pagination GitHub API.mp428.2 MB
13 - APIs (POST requests are not needed for this course)/011 Pagination GitHub API_en.vtt4.8 KB
13 - APIs (POST requests are not needed for this course)/012 APIs Exercise.html616 B
13 - APIs (POST requests are not needed for this course)/32906864-APIs-complete-notebook.ipynb1.2 MB
13 - APIs (POST requests are not needed for this course)/32906872-15.8.Homework-Setup.ipynb2.7 KB
13 - APIs (POST requests are not needed for this course)/32906880-15.8.Homework-Solution.ipynb485.4 KB
13 - APIs (POST requests are not needed for this course)/external-assets-links.txt193 B
14 - Data Cleaning and Data Preprocessing/001 Data Cleaning and Data Preprocessing.mp416.5 MB
14 - Data Cleaning and Data Preprocessing/001 Data Cleaning and Data Preprocessing_en.vtt7.7 KB
15 - pandas Series/001 .unique(), .nunique().mp426.3 MB
15 - pandas Series/001 .unique(), .nunique()_en.vtt4.8 KB
15 - pandas Series/002 Converting Series into Arrays.mp419.9 MB
15 - pandas Series/002 Converting Series into Arrays_en.vtt7.0 KB
15 - pandas Series/003 .sort_values().mp413.2 MB
15 - pandas Series/003 .sort_values()_en.vtt4.9 KB
15 - pandas Series/004 Attribute and Method Chaining.mp414.8 MB
15 - pandas Series/004 Attribute and Method Chaining_en.vtt5.5 KB
15 - pandas Series/005 .sort_index().mp415.7 MB
15 - pandas Series/005 .sort_index()_en.vtt5.1 KB
15 - pandas Series/32896806-pandas-Series-Lectures.ipynb22.7 KB
15 - pandas Series/32896812-pandas-Series-Exercises.ipynb7.7 KB
15 - pandas Series/32896814-pandas-Series-Solutions.ipynb15.9 KB
15 - pandas Series/32896816-Location.csv13.5 KB
15 - pandas Series/32896818-Region.csv10.2 KB
15 - pandas Series/32896820-pandas-Series-Lectures.ipynb22.7 KB
15 - pandas Series/32896824-pandas-Series-Exercises.ipynb7.7 KB
15 - pandas Series/32896828-pandas-Series-Solutions.ipynb15.9 KB
15 - pandas Series/32896830-Location.csv13.5 KB
15 - pandas Series/32896832-Region.csv10.2 KB
15 - pandas Series/[CourseClub.Me].url122 B
15 - pandas Series/[GigaCourse.Com].url49 B
15 - pandas Series/external-assets-links.txt110 B
16 - pandas DataFrames/001 A Revision to pandas DataFrames.mp417.8 MB
16 - pandas DataFrames/001 A Revision to pandas DataFrames_en.vtt6.6 KB
16 - pandas DataFrames/002 Common Attributes for Working with DataFrames.mp429.8 MB
16 - pandas DataFrames/002 Common Attributes for Working with DataFrames_en.vtt5.6 KB
16 - pandas DataFrames/003 Data Selection in pandas DataFrames.mp437.3 MB
16 - pandas DataFrames/003 Data Selection in pandas DataFrames_en.vtt8.8 KB
16 - pandas DataFrames/004 Data Selection - Indexing with .iloc[].mp423.5 MB
16 - pandas DataFrames/004 Data Selection - Indexing with .iloc[]_en.vtt7.0 KB
16 - pandas DataFrames/005 Data Selection - Indexing with .loc[].mp421.6 MB
16 - pandas DataFrames/005 Data Selection - Indexing with .loc[]_en.vtt4.9 KB
16 - pandas DataFrames/006 A Few Comments on Using .loc[] and .iloc[].mp476.9 MB
16 - pandas DataFrames/006 A Few Comments on Using .loc[] and .iloc[]_en.vtt14.7 KB
16 - pandas DataFrames/32896844-pandas-DataFrames.pdf438.2 KB
16 - pandas DataFrames/32896848-pandas-DataFrames-Lectures.ipynb16.6 KB
16 - pandas DataFrames/32896852-pandas-DataFrames-Exercises.ipynb23.2 KB
16 - pandas DataFrames/32896856-pandas-DataFrames-Solutions.ipynb103.8 KB
16 - pandas DataFrames/32896864-Lending-company.csv112.4 KB
16 - pandas DataFrames/32896874-pandas-DataFrames.pdf438.2 KB
16 - pandas DataFrames/32896876-pandas-DataFrames-Lectures.ipynb16.6 KB
16 - pandas DataFrames/32896878-pandas-DataFrames-Exercises.ipynb23.2 KB
16 - pandas DataFrames/32896882-pandas-DataFrames-Solutions.ipynb103.8 KB
16 - pandas DataFrames/32896886-Lending-company.csv112.4 KB
16 - pandas DataFrames/32896890-Sales-products.csv152.3 KB
16 - pandas DataFrames/38405832-Sales-products.csv152.3 KB
16 - pandas DataFrames/external-assets-links.txt114 B
17 - NumPy Fundamentals/001 Indexing in NumPy.mp414.9 MB
17 - NumPy Fundamentals/001 Indexing in NumPy_en.vtt7.2 KB
17 - NumPy Fundamentals/002 Assigning Values in NumPy.mp410.1 MB
17 - NumPy Fundamentals/002 Assigning Values in NumPy_en.vtt4.9 KB
17 - NumPy Fundamentals/003 Elementwise Properties of Arrays.mp414.9 MB
17 - NumPy Fundamentals/003 Elementwise Properties of Arrays_en.vtt5.5 KB
17 - NumPy Fundamentals/004 Types of Data Supported by NumPy.mp418.1 MB
17 - NumPy Fundamentals/004 Types of Data Supported by NumPy_en.vtt7.3 KB
17 - NumPy Fundamentals/005 Characteristics of NumPy Functions Part 1.mp423.2 MB
17 - NumPy Fundamentals/005 Characteristics of NumPy Functions Part 1_en.vtt5.6 KB
17 - NumPy Fundamentals/006 Characteristics of NumPy Functions Part 2.mp410.1 MB
17 - NumPy Fundamentals/006 Characteristics of NumPy Functions Part 2_en.vtt4.4 KB
17 - NumPy Fundamentals/007 NumPy Fundamentals - Exercise.html1.1 KB
17 - NumPy Fundamentals/32904758-NumPy-Fundamentals-Template.ipynb6.5 KB
17 - NumPy Fundamentals/32904760-NumPy-Fundamentals-Complete.ipynb17.7 KB
17 - NumPy Fundamentals/32905064-NumPy-Fundamentals-Exercise.ipynb11.1 KB
17 - NumPy Fundamentals/32905068-NumPy-Fundamentals-Solution.ipynb23.3 KB
17 - NumPy Fundamentals/external-assets-links.txt107 B
18 - NumPy DataTypes/001 ndarrays.mp429.3 MB
18 - NumPy DataTypes/001 ndarrays_en.vtt10.7 KB
18 - NumPy DataTypes/002 Arrays vs Lists.mp416.6 MB
18 - NumPy DataTypes/002 Arrays vs Lists_en.vtt7.5 KB
18 - NumPy DataTypes/003 Strings vs Object vs Number.mp424.8 MB
18 - NumPy DataTypes/003 Strings vs Object vs Number_en.vtt8.1 KB
18 - NumPy DataTypes/004 NumPy DataTypes - Exercise.html1.1 KB
18 - NumPy DataTypes/external-assets-links.txt112 B
19 - Working with Arrays/001 Basic Slicing in NumPy.mp426.6 MB
19 - Working with Arrays/001 Basic Slicing in NumPy_en.vtt12.0 KB
19 - Working with Arrays/002 Stepwise Slicing in NumPy.mp414.0 MB
19 - Working with Arrays/002 Stepwise Slicing in NumPy_en.vtt6.0 KB
19 - Working with Arrays/003 Conditional Slicing in NumPy.mp416.1 MB
19 - Working with Arrays/003 Conditional Slicing in NumPy_en.vtt5.8 KB
19 - Working with Arrays/004 Dimensions and the Squeeze Function.mp418.3 MB
19 - Working with Arrays/004 Dimensions and the Squeeze Function_en.vtt7.6 KB
19 - Working with Arrays/005 Working with Arrays - Exercise.html1.1 KB
19 - Working with Arrays/32905364-Working-With-Arrays-Template.ipynb4.3 KB
19 - Working with Arrays/32905372-Working-With-Arrays-Complete.ipynb12.4 KB
19 - Working with Arrays/32905376-Working-With-Arrays-Exercise.ipynb8.2 KB
19 - Working with Arrays/32905380-Working-With-Arrays-Solution.ipynb16.4 KB
19 - Working with Arrays/external-assets-links.txt116 B
20 - Generating Data with NumPy/001 Arrays of 0s and 1s.mp416.2 MB
20 - Generating Data with NumPy/001 Arrays of 0s and 1s_en.vtt6.8 KB
20 - Generating Data with NumPy/002 _like functions in NumPy.mp48.7 MB
20 - Generating Data with NumPy/002 _like functions in NumPy_en.vtt4.1 KB
20 - Generating Data with NumPy/003 A Non-Random Sequence of Numbers.mp420.0 MB
20 - Generating Data with NumPy/003 A Non-Random Sequence of Numbers_en.vtt6.3 KB
20 - Generating Data with NumPy/004 Random Generators and Seeds.mp419.3 MB
20 - Generating Data with NumPy/004 Random Generators and Seeds_en.vtt6.8 KB
20 - Generating Data with NumPy/005 Basic Random Functions in NumPy.mp414.8 MB
20 - Generating Data with NumPy/005 Basic Random Functions in NumPy_en.vtt5.0 KB
20 - Generating Data with NumPy/006 Probability Distributions in NumPy.mp431.5 MB
20 - Generating Data with NumPy/006 Probability Distributions in NumPy_en.vtt6.8 KB
20 - Generating Data with NumPy/007 Applications of Random Data in NumPy.mp429.4 MB
20 - Generating Data with NumPy/007 Applications of Random Data in NumPy_en.vtt5.0 KB
20 - Generating Data with NumPy/008 Generating Data with NumPy - Exercise.html1.1 KB
20 - Generating Data with NumPy/32905420-Generating-Data-With-NumPy-Template.ipynb5.1 KB
20 - Generating Data with NumPy/32905426-Generating-Data-With-NumPy-Complete.ipynb22.1 KB
20 - Generating Data with NumPy/32905436-Generating-Data-With-NumPy-Exercise.ipynb8.5 KB
20 - Generating Data with NumPy/32905442-Generating-Data-With-NumPy-Solution.ipynb19.9 KB
20 - Generating Data with NumPy/external-assets-links.txt123 B
21 - Statistics with NumPy/001 Using Statistical Functions in NumPy.mp421.3 MB
21 - Statistics with NumPy/001 Using Statistical Functions in NumPy_en.vtt10.1 KB
21 - Statistics with NumPy/002 Minimal and Maximal Values in NumPy.mp419.9 MB
21 - Statistics with NumPy/002 Minimal and Maximal Values in NumPy_en.vtt7.6 KB
21 - Statistics with NumPy/003 Statistical Order Functions in NumPy.mp427.4 MB
21 - Statistics with NumPy/003 Statistical Order Functions in NumPy_en.vtt7.9 KB
21 - Statistics with NumPy/004 Averages and Variance in NumPy.mp414.6 MB
21 - Statistics with NumPy/004 Averages and Variance in NumPy_en.vtt5.5 KB
21 - Statistics with NumPy/005 Covariance and Correlation in NumPy.mp48.7 MB
21 - Statistics with NumPy/005 Covariance and Correlation in NumPy_en.vtt3.8 KB
21 - Statistics with NumPy/006 Histograms in NumPy (Part 1).mp422.1 MB
21 - Statistics with NumPy/006 Histograms in NumPy (Part 1)_en.vtt9.8 KB
21 - Statistics with NumPy/007 Histograms in NumPy (Part 2).mp411.5 MB
21 - Statistics with NumPy/007 Histograms in NumPy (Part 2)_en.vtt5.4 KB
21 - Statistics with NumPy/008 NAN Equivalent Functions in NumPy.mp416.8 MB
21 - Statistics with NumPy/008 NAN Equivalent Functions in NumPy_en.vtt3.8 KB
21 - Statistics with NumPy/009 Statistics with NumPy - Exercise.html1.1 KB
21 - Statistics with NumPy/32905472-Statistics-With-NumPy-Template.ipynb7.7 KB
21 - Statistics with NumPy/32905482-Statistics-With-NumPy-Complete.ipynb29.5 KB
21 - Statistics with NumPy/32905490-Statistics-With-NumPy-Exercise.ipynb10.5 KB
21 - Statistics with NumPy/32905494-Statistics-With-NumPy-Solution.ipynb26.3 KB
21 - Statistics with NumPy/[CourseClub.Me].url122 B
21 - Statistics with NumPy/[GigaCourse.Com].url49 B
21 - Statistics with NumPy/external-assets-links.txt118 B
22 - NumPy - Preprocessing/001 Checking for Missing Values in Ndarrays.mp447.9 MB
22 - NumPy - Preprocessing/001 Checking for Missing Values in Ndarrays_en.vtt11.0 KB
22 - NumPy - Preprocessing/002 Substituting Missing Values in Ndarrays.mp434.3 MB
22 - NumPy - Preprocessing/002 Substituting Missing Values in Ndarrays_en.vtt10.6 KB
22 - NumPy - Preprocessing/003 Reshaping Ndarrays.mp424.6 MB
22 - NumPy - Preprocessing/003 Reshaping Ndarrays_en.vtt7.4 KB
22 - NumPy - Preprocessing/004 Removing Values from Ndarrays.mp419.9 MB
22 - NumPy - Preprocessing/004 Removing Values from Ndarrays_en.vtt5.0 KB
22 - NumPy - Preprocessing/005 Sorting Ndarrays.mp455.3 MB
22 - NumPy - Preprocessing/005 Sorting Ndarrays_en.vtt11.5 KB
22 - NumPy - Preprocessing/006 Argument Sort in NumPy.mp429.5 MB
22 - NumPy - Preprocessing/006 Argument Sort in NumPy_en.vtt6.5 KB

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