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| 001 .unique(), .nunique()_en.vtt |
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| 001 .unique(), .nunique().mp4 |
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| 001 An Introduction to the Absenteeism Exercise_en.vtt |
1.65KB |
| 001 An Introduction to the Absenteeism Exercise.mp4 |
3.65MB |
| 001 A Practical Example - What Will You Learn in This Course_en.vtt |
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| 001 A Practical Example - What Will You Learn in This Course.mp4 |
58.11MB |
| 001 A Revision to pandas DataFrames_en.vtt |
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| 001 A Revision to pandas DataFrames.mp4 |
17.82MB |
| 001 Arrays of 0s and 1s_en.vtt |
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| 001 Basic Slicing in NumPy_en.vtt |
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26.56MB |
| 001 Checking for Missing Values in Ndarrays_en.vtt |
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| 001 Checking for Missing Values in Ndarrays.mp4 |
47.88MB |
| 001 Conclusion_en.vtt |
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| 001 Data Cleaning and Data Preprocessing_en.vtt |
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| 001 How to Complete the Absenteeism Exercise_en.vtt |
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| 001 Indexing in NumPy_en.vtt |
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| 001 Introduction_en.vtt |
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| 001 Introduction to the World of Business and Data_en.vtt |
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| 001 Iterating Over Range Objects_en.vtt |
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| 001 What Is а Matrix_en.vtt |
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| 002 Installing and Running pandas_en.vtt |
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| 002 Manipulating Python Strings_en.vtt |
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| 002 Minimal and Maximal Values in NumPy_en.vtt |
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| 002 Nested For Loops - Introduction_en.vtt |
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| 002 Relevant Terms Explained_en.vtt |
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| 002 The Absenteeism Exercise from a Business Perspective_en.vtt |
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| 002 The Absenteeism Exercise from a Business Perspective.mp4 |
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| 002 What Does the Course Cover_en.vtt |
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| 002 What Does the Course Cover.mp4 |
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| 002 Why Learn Data Visualization_en.vtt |
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| 003 Choosing the Right Visualization – What Are Some Popular Approaches and Framewor_en.vtt |
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| 003 Data Exchange Format for APIs JSON_en.vtt |
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| 003 Data Selection in pandas DataFrames_en.vtt |
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| 003 Download All Resources.html |
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| 003 Importing Modules_en.vtt |
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| 003 Introduction to pandas Series_en.vtt |
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| 003 Jupyter - Introduction_en.vtt |
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| 003 Linear Algebra and Geometry_en.vtt |
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| 003 Ndarray_en.vtt |
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| 003 Reshaping Ndarrays_en.vtt |
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| 003 Setting Up Checking for Incomplete Data_en.vtt |
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| 003 Statistical Order Functions in NumPy_en.vtt |
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| 003 Strings vs Object vs Number_en.vtt |
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| 003 Structured vs Semi-Structured and Unstructured Data_en.vtt |
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| 003 The Dataset_en.vtt |
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| 003 Triple Nested For Loops_en.vtt |
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| 004 Arrays in Python_en.vtt |
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| 004 Basic Python Syntax - Arithmetic Operators_en.vtt |
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| 004 Data Analyst Job Description_en.vtt |
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| 004 FAQ.html |
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| 004 Introducing the Exchange Rates API_en.vtt |
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| 004 Introduction to Using NumPy and pandas_en.vtt |
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| 004 NumPy DataTypes - Exercise.html |
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| 004 Random Generators and Seeds_en.vtt |
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| 004 Removing Values from Ndarrays_en.vtt |
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| 004 Setting Up Splitting the Dataset_en.vtt |
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| 004 The NumPy Documentation_en.vtt |
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| 004 Types of Data Supported by NumPy_en.vtt |
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| 004 Using a Statistical Approach to Solve Our Exercise_en.vtt |
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| 004 Using a Statistical Approach to Solve Our Exercise.mp4 |
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| 004 Using Various Python String Methods - Part II_en.vtt |
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| 004 Working with Attributes in Python_en.vtt |
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| 005 Bar Chart - Introduction - General Theory and Getting to Know the Dataset_en.vtt |
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| 005 Basic Python Syntax - The Double Equality Sign_en.vtt |
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| 005 Basic Python Syntax - The Double Equality Sign.mp4 |
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| 005 Basic Random Functions in NumPy_en.vtt |
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| 005 Characteristics of NumPy Functions Part 1_en.vtt |
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| 005 Characteristics of NumPy Functions Part 1.mp4 |
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| 005 Covariance and Correlation in NumPy_en.vtt |
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| 005 Covariance and Correlation in NumPy.mp4 |
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| 005 Data Selection - Indexing with .loc[]_en.vtt |
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| 005 Dropping the 'ID' Column_en.vtt |
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| 005 Dropping the 'ID' Column.mp4 |
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| 005 Including Parameters in a GET Request_en.vtt |
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| 005 Jupyter - Intro to Using Jupyter_en.vtt |
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| 005 NumPy Basics - Exercise.html |
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| 005 Principles of Importing Data in Python_en.vtt |
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| 005 Setting Up Creating Checkpoints_en.vtt |
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| 005 Sorting Ndarrays_en.vtt |
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| 005 Sorting Ndarrays.mp4 |
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| 005 String Accessors_en.vtt |
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| 005 Using an Index in pandas_en.vtt |
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| 005 Using an Index in pandas.mp4 |
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| 005 What Is a Tensor_en.vtt |
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| 005 What Is a Tensor.mp4 |
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| 005 What is Software Documentation_en.vtt |
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| 005 What is Software Documentation.mp4 |
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| 005 Why Python_en.vtt |
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| 005 Why Python.mp4 |
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| 005 Working with Arrays - Exercise.html |
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| 006 Adding and Subtracting Matrices_en.vtt |
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| 006 A Few Comments on Using .loc[] and .iloc[]_en.vtt |
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| 006 Analysis of the 'Reason for Absence' Column_en.vtt |
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| 006 Analysis of the 'Reason for Absence' Column.mp4 |
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| 006 Argument Sort in NumPy_en.vtt |
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| 006 Bar Chart - How to Create a Bar Chart Using Python_en.vtt |
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| 006 Basic Python Syntax - Reassign Values_en.vtt |
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| 006 Characteristics of NumPy Functions Part 2_en.vtt |
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| 006 Histograms in NumPy (Part 1)_en.vtt |
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| 006 Jupyter - Working with Notebook Files_en.vtt |
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| 006 Label-based vs Position-based Indexing_en.vtt |
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| 006 Label-based vs Position-based Indexing.mp4 |
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| 006 Manipulating Text Data Issue Date_en.vtt |
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| 006 More Functionalities of the Exchange Rates API_en.vtt |
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| 006 More Functionalities of the Exchange Rates API.mp4 |
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| 006 More on Text Files (.txt vs .csv)_en.vtt |
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| 006 Probability Distributions in NumPy_en.vtt |
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| 006 The Python Documentation_en.vtt |
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| 006 Using the .format() Method_en.vtt |
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| 007 Applications of Random Data in NumPy_en.vtt |
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| 007 Argument Where in NumPy_en.vtt |
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| 007 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph_en.vtt |
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| 007 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph.mp4 |
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| 007 Basic Python Syntax - Add Comments_en.vtt |
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| 007 Basic Python Syntax - Add Comments.mp4 |
2.41MB |
| 007 Coding a Simple Currency Conversion Calculator_en.vtt |
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| 007 Coding a Simple Currency Conversion Calculator.mp4 |
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| 007 Errors When Adding Matrices_en.vtt |
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| 007 Fixed-width Files_en.vtt |
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| 007 Histograms in NumPy (Part 2)_en.vtt |
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| 007 Histograms in NumPy (Part 2).mp4 |
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| 007 Jupyter - Using Shortcuts_en.vtt |
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| 007 Jupyter - Using Shortcuts.mp4 |
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| 007 Manipulating Text Data Loan Status and Term_en.vtt |
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| 007 More on Working with Indices in Python_en.vtt |
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| 007 NumPy Fundamentals - Exercise.html |
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| 007 Splitting the Reasons for Absence into Multiple Dummy Variables_en.vtt |
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| 008 Basic Python Syntax - Line Continuation_en.vtt |
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| 008 Common Naming Conventions Used in Programming_en.vtt |
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| 008 Generating Data with NumPy - Exercise.html |
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| 008 iTunes API_en.vtt |
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| 008 iTunes API.mp4 |
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| 008 Jupyter - Handling Error Messages_en.vtt |
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| 008 Jupyter - Handling Error Messages.mp4 |
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| 008 Manipulating Text Data Grade and Sub Grade_en.vtt |
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| 008 NAN Equivalent Functions in NumPy_en.vtt |
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| 008 Pie Chart - Introduction - General Theory and Dataset_en.vtt |
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| 008 Shuffling Ndarrays_en.vtt |
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| 008 Transpose_en.vtt |
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| 008 Using Methods in Python - Part I.mp4 |
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| 008 Working with Dummy Variables - A Statistical Perspective_en.vtt |
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| 009 Basic Python Syntax - Indexing Elements_en.vtt |
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| 009 Casting Ndarrays_en.vtt |
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| 009 Dot Product of Vectors_en.vtt |
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| 009 Grouping the Reason for Absence Columns_en.vtt |
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51.32MB |
| 009 Importing Text Files in Python ( open() )_en.vtt |
11.77KB |
| 009 Importing Text Files in Python ( open() ).mp4 |
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| 009 iTunes API Homework.html |
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| 009 Jupyter - Restarting the Kernel_en.vtt |
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| 009 Jupyter - Restarting the Kernel.mp4 |
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| 009 Manipulating Text Data Verification Status & URL_en.vtt |
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| 009 Manipulating Text Data Verification Status & URL.mp4 |
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| 009 Pie Chart - How to Create a Pie Chart Using Python_en.vtt |
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| 32905630-Preprocessing-Data-With-NumPy-Complete.ipynb |
80.88KB |
| 32905632-Lending-company-Numeric.csv |
29.54KB |
| 32905638-Lending-company-Numeric-NAN.csv |
28.64KB |
| 32905800-A-Loan-Data-Example-with-NumPy-Template.ipynb |
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| 32905806-A-Loan-Data-Example-with-NumPy-Complete.ipynb |
68.13KB |
| 32905808-EUR-USD.csv |
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| 32905810-loan-data.csv |
1.53MB |
| 32905812-loan-data-dictionary.xlsx |
19.60KB |
| 32905828-A-Loan-Data-Example-with-NumPy-Template.ipynb |
23.02KB |
| 32905830-A-Loan-Data-Example-with-NumPy-Complete.ipynb |
68.13KB |
| 32905860-EUR-USD.csv |
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| 32905864-loan-data.csv |
1.53MB |
| 32905866-loan-data-dictionary.xlsx |
19.60KB |
| 32905886-Absenteeism-data.csv |
32.05KB |
| 32905894-df-cleaned.csv |
29.11KB |
| 32906066-Absenteeism-Exercise-Lectures.ipynb |
8.43MB |
| 32906098-Absenteeism-Exercise-df-cleaned.ipynb |
17.95KB |
| 32906104-Absenteeism-data.csv |
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| 32906114-data-cleaning-homework.pdf |
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| 32906128-Absenteeism-Exercise-Lectures.ipynb |
8.43MB |
| 32906132-Absenteeism-Exercise-df-cleaned.ipynb |
17.95KB |
| 32906136-Absenteeism-data.csv |
32.05KB |
| 32906140-df-cleaned.csv |
29.11KB |
| 32906148-data-cleaning-homework.pdf |
135.74KB |
| 32906196-Data-Viz-Notebook-Template.ipynb |
5.44KB |
| 32906202-Data-Viz-Homework-Notebook.ipynb |
11.79KB |
| 32906208-Data-Visualization-Course-Notes.pdf |
1.67MB |
| 32906548-Data-Viz-Homework-Solution-Notebook.ipynb |
687.58KB |
| 32906550-Data-Viz-Notebook-with-Comments.ipynb |
26.15KB |
| 32906864-APIs-complete-notebook.ipynb |
1.16MB |
| 32906872-15.8.Homework-Setup.ipynb |
2.69KB |
| 32906880-15.8.Homework-Solution.ipynb |
485.40KB |
| 38405832-Sales-products.csv |
152.28KB |
| external-assets-links.txt |
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