[FreeCourseSite.com] Udemy - The Data Analyst Course Complete Data Analyst Bootcamp 2022

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Last Access Time	Jan. 12, 2025, 6:52 p.m.
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06 - Mathematics for Python/011 Why is Linear Algebra Useful.mp4 86.2 MB
16 - pandas DataFrames/006 A Few Comments on Using .loc[] and .iloc[].mp4 76.9 MB
09 - Working with Text Files/013 Importing .csv Files with pandas - Part III.mp4 75.1 MB
22 - NumPy - Preprocessing/011 Stacking Ndarrays.mp4 65.1 MB
25 - Solution to the Absenteeism Exercise/007 Splitting the Reasons for Absence into Multiple Dummy Variables.mp4 63.8 MB
01 - Introduction to the Course/002 What Does the Course Cover.mp4 60.8 MB
01 - Introduction to the Course/001 A Practical Example - What Will You Learn in This Course.mp4 58.1 MB
09 - Working with Text Files/015 Importing Data with NumPy - .loadtxt() vs genfromtxt().mp4 56.5 MB
26 - Data Visualization/004 Introduction into Colors and Color Theory.mp4 56.2 MB
22 - NumPy - Preprocessing/005 Sorting Ndarrays.mp4 55.3 MB
25 - Solution to the Absenteeism Exercise/002 Eyeball Your Data First.mp4 54.2 MB
08 - Pandas - Basics/011 the pandas Documentation.mp4 52.0 MB
22 - NumPy - Preprocessing/007 Argument Where in NumPy.mp4 51.5 MB
25 - Solution to the Absenteeism Exercise/009 Grouping the Reason for Absence Columns.mp4 51.3 MB
09 - Working with Text Files/011 Importing .csv Files with pandas - Part I.mp4 49.8 MB
09 - Working with Text Files/018 Importing .json Files.mp4 48.5 MB
22 - NumPy - Preprocessing/001 Checking for Missing Values in Ndarrays.mp4 47.9 MB
26 - Data Visualization/011 Pie Chart - Why You Should Never Create a Pie Graph.mp4 46.4 MB
23 - A Loan Data Example with NumPy/015 Completing the Dataset.mp4 44.0 MB
05 - Fundamentals for Coding in Python/006 The Python Documentation.mp4 43.9 MB
26 - Data Visualization/003 Choosing the Right Visualization – What Are Some Popular Approaches and Framewor.mp4 43.8 MB
11 - Must-Know Python Tools/004 List Comprehensions.mp4 43.2 MB
09 - Working with Text Files/019 Prelude to Working with Excel Files in Python.mp4 43.0 MB
09 - Working with Text Files/021 An Important Exercise on Importing Data in Python.mp4 43.0 MB
25 - Solution to the Absenteeism Exercise/005 Dropping the 'ID' Column.mp4 41.3 MB
23 - A Loan Data Example with NumPy/008 Manipulating Text Data Grade and Sub Grade.mp4 41.2 MB
26 - Data Visualization/017 Line Chart - How to Create a Line Chart in Python.mp4 40.3 MB
22 - NumPy - Preprocessing/009 Casting Ndarrays.mp4 40.2 MB
13 - APIs (POST requests are not needed for this course)/008 iTunes API.mp4 39.6 MB
08 - Pandas - Basics/002 Installing and Running pandas.mp4 37.7 MB
16 - pandas DataFrames/003 Data Selection in pandas DataFrames.mp4 37.3 MB
25 - Solution to the Absenteeism Exercise/013 Extracting the Month Value from the 'Date' Column.mp4 37.1 MB
23 - A Loan Data Example with NumPy/002 Setting Up Importing the Data Set.mp4 36.9 MB
22 - NumPy - Preprocessing/012 Concatenating Ndarrays.mp4 35.7 MB
22 - NumPy - Preprocessing/002 Substituting Missing Values in Ndarrays.mp4 34.3 MB
11 - Must-Know Python Tools/005 Anonymous (Lambda) Functions.mp4 33.7 MB
08 - Pandas - Basics/007 More on Working with Indices in Python.mp4 33.2 MB
22 - NumPy - Preprocessing/008 Shuffling Ndarrays.mp4 33.0 MB
26 - Data Visualization/018 Line Chart - Interpretation.mp4 32.7 MB
05 - Fundamentals for Coding in Python/004 Introduction to Using NumPy and pandas.mp4 31.9 MB
26 - Data Visualization/006 Bar Chart - How to Create a Bar Chart Using Python.mp4 31.9 MB
20 - Generating Data with NumPy/006 Probability Distributions in NumPy.mp4 31.5 MB
23 - A Loan Data Example with NumPy/014 Manipulating Numeric Data Currency Change - From USD to EUR.mp4 31.4 MB
10 - Working with Text Data/005 String Accessors.mp4 30.6 MB
09 - Working with Text Files/016 Importing Data with NumPy - Partial Cleaning While Importing.mp4 30.5 MB
08 - Pandas - Basics/014 Creating DataFrames from Scratch - Part II.mp4 29.8 MB
16 - pandas DataFrames/002 Common Attributes for Working with DataFrames.mp4 29.8 MB
26 - Data Visualization/026 Scatter Plot - How to Create a Scatter Plot Using Python.mp4 29.8 MB
22 - NumPy - Preprocessing/006 Argument Sort in NumPy.mp4 29.5 MB
20 - Generating Data with NumPy/007 Applications of Random Data in NumPy.mp4 29.4 MB
18 - NumPy DataTypes/001 ndarrays.mp4 29.3 MB
13 - APIs (POST requests are not needed for this course)/011 Pagination GitHub API.mp4 28.2 MB
23 - A Loan Data Example with NumPy/012 Manipulating Numeric Data Substitute Filler Values.mp4 27.9 MB
22 - NumPy - Preprocessing/013 Finding Unique Values in Ndarrays.mp4 27.7 MB
09 - Working with Text Files/024 Saving Your Data with pandas.mp4 27.7 MB
21 - Statistics with NumPy/003 Statistical Order Functions in NumPy.mp4 27.4 MB
26 - Data Visualization/019 Line Chart - How to Make a Good Line Chart.mp4 27.2 MB
08 - Pandas - Basics/004 Working with Attributes in Python.mp4 26.8 MB
23 - A Loan Data Example with NumPy/009 Manipulating Text Data Verification Status & URL.mp4 26.7 MB
19 - Working with Arrays/001 Basic Slicing in NumPy.mp4 26.6 MB
26 - Data Visualization/002 Why Learn Data Visualization.mp4 26.4 MB
06 - Mathematics for Python/010 Dot Product of Matrices.mp4 26.4 MB
26 - Data Visualization/034 Bar and Line Chart - How to Create a Combination Bar and Line Graph Using Python.mp4 26.3 MB
15 - pandas Series/001 .unique(), .nunique().mp4 26.3 MB
09 - Working with Text Files/010 Importing Text Files in Python ( with open() ).mp4 26.3 MB
23 - A Loan Data Example with NumPy/010 Manipulating Text Data State Address.mp4 26.2 MB
08 - Pandas - Basics/013 Creating DataFrames from Scratch - Part I.mp4 26.1 MB
25 - Solution to the Absenteeism Exercise/012 Working on the 'Date' Column.mp4 26.1 MB
13 - APIs (POST requests are not needed for this course)/004 Introducing the Exchange Rates API.mp4 25.2 MB
23 - A Loan Data Example with NumPy/007 Manipulating Text Data Loan Status and Term.mp4 25.2 MB
26 - Data Visualization/013 Stacked Area Chart - How to Create a Stacked Area Chart Using Python.mp4 25.0 MB
09 - Working with Text Files/009 Importing Text Files in Python ( open() ).mp4 24.8 MB
18 - NumPy DataTypes/003 Strings vs Object vs Number.mp4 24.8 MB
08 - Pandas - Basics/003 Introduction to pandas Series.mp4 24.6 MB
22 - NumPy - Preprocessing/003 Reshaping Ndarrays.mp4 24.6 MB
08 - Pandas - Basics/006 Label-based vs Position-based Indexing.mp4 24.5 MB
10 - Working with Text Data/003 Using Various Python String Methods - Part I.mp4 23.6 MB
16 - pandas DataFrames/004 Data Selection - Indexing with .iloc[].mp4 23.5 MB
25 - Solution to the Absenteeism Exercise/014 Creating the 'Day of the Week' Column.mp4 23.3 MB
17 - NumPy Fundamentals/005 Characteristics of NumPy Functions Part 1.mp4 23.2 MB
26 - Data Visualization/008 Pie Chart - Introduction - General Theory and Dataset.mp4 22.7 MB
13 - APIs (POST requests are not needed for this course)/007 Coding a Simple Currency Conversion Calculator.mp4 22.4 MB
06 - Mathematics for Python/006 Adding and Subtracting Matrices.mp4 22.1 MB
21 - Statistics with NumPy/006 Histograms in NumPy (Part 1).mp4 22.1 MB
26 - Data Visualization/030 Regression Plot - How to Create a Regression Scatter Plot Using Python.mp4 21.7 MB
26 - Data Visualization/024 Histogram - How to Make a Good Histogram.mp4 21.7 MB
10 - Working with Text Data/006 Using the .format() Method.mp4 21.7 MB
16 - pandas DataFrames/005 Data Selection - Indexing with .loc[].mp4 21.6 MB
03 - Setting up the Environment/004 Jupyter - Installing Anaconda.mp4 21.5 MB
10 - Working with Text Data/001 Working with Text Data and Argument Specifiers.mp4 21.4 MB
21 - Statistics with NumPy/001 Using Statistical Functions in NumPy.mp4 21.3 MB
26 - Data Visualization/023 Histogram – Choosing the Number of Bins in a Histogram.mp4 21.1 MB
09 - Working with Text Files/027 Saving Your Data with NumPy - np.savetxt().mp4 20.8 MB
23 - A Loan Data Example with NumPy/001 Setting Up Introduction to the Practical Example.mp4 20.5 MB
06 - Mathematics for Python/008 Transpose.mp4 20.5 MB
10 - Working with Text Data/004 Using Various Python String Methods - Part II.mp4 20.4 MB
20 - Generating Data with NumPy/003 A Non-Random Sequence of Numbers.mp4 20.0 MB
21 - Statistics with NumPy/002 Minimal and Maximal Values in NumPy.mp4 19.9 MB
02 - Introduction to Data Analytics/004 Data Analyst Job Description.mp4 19.9 MB
22 - NumPy - Preprocessing/004 Removing Values from Ndarrays.mp4 19.9 MB
15 - pandas Series/002 Converting Series into Arrays.mp4 19.9 MB
25 - Solution to the Absenteeism Exercise/010 Concatenating Columns in a pandas DataFrame.mp4 19.8 MB
23 - A Loan Data Example with NumPy/004 Setting Up Splitting the Dataset.mp4 19.8 MB
04 - Python Basics/003 Types of Data - Strings.mp4 19.7 MB
09 - Working with Text Files/023 A Note on Importing Files in Jupyter.mp4 19.7 MB
25 - Solution to the Absenteeism Exercise/016 Modifying the 'Education' Column.mp4 19.7 MB
11 - Must-Know Python Tools/003 Triple Nested For Loops.mp4 19.4 MB
20 - Generating Data with NumPy/004 Random Generators and Seeds.mp4 19.3 MB
04 - Python Basics/026 Sequences - List Slicing.mp4 19.2 MB
12 - Data GatheringData Collection/001 What is data gatheringdata collection.mp4 19.2 MB
06 - Mathematics for Python/004 Arrays in Python.mp4 19.0 MB
23 - A Loan Data Example with NumPy/013 Manipulating Numeric Data Currency Change – The Exchange Rate.mp4 19.0 MB
09 - Working with Text Files/025 Saving Your Data with NumPy - np.save().mp4 18.9 MB
03 - Setting up the Environment/006 Jupyter - Working with Notebook Files.mp4 18.6 MB
26 - Data Visualization/028 Scatter Plot - How to Make a Good Scatter Plot.mp4 18.6 MB
22 - NumPy - Preprocessing/010 Striping Values from Ndarrays.mp4 18.4 MB
19 - Working with Arrays/004 Dimensions and the Squeeze Function.mp4 18.3 MB
17 - NumPy Fundamentals/004 Types of Data Supported by NumPy.mp4 18.1 MB
25 - Solution to the Absenteeism Exercise/003 Note Programming vs the Rest of the World.mp4 18.0 MB
16 - pandas DataFrames/001 A Revision to pandas DataFrames.mp4 17.8 MB
26 - Data Visualization/031 Regression Plot – Interpreting the Regression Scatter Plot.mp4 17.4 MB
25 - Solution to the Absenteeism Exercise/006 Analysis of the 'Reason for Absence' Column.mp4 17.2 MB
23 - A Loan Data Example with NumPy/003 Setting Up Checking for Incomplete Data.mp4 17.1 MB
02 - Introduction to Data Analytics/002 Relevant Terms Explained.mp4 17.1 MB
08 - Pandas - Basics/008 Using Methods in Python - Part I.mp4 17.0 MB
08 - Pandas - Basics/010 Parameters vs Arguments.mp4 16.8 MB
21 - Statistics with NumPy/008 NAN Equivalent Functions in NumPy.mp4 16.8 MB
13 - APIs (POST requests are not needed for this course)/006 More Functionalities of the Exchange Rates API.mp4 16.6 MB
18 - NumPy DataTypes/002 Arrays vs Lists.mp4 16.6 MB
14 - Data Cleaning and Data Preprocessing/001 Data Cleaning and Data Preprocessing.mp4 16.5 MB
09 - Working with Text Files/005 Principles of Importing Data in Python.mp4 16.4 MB
26 - Data Visualization/009 Pie Chart - How to Create a Pie Chart Using Python.mp4 16.3 MB
27 - Conclusion/001 Conclusion.mp4 16.2 MB
20 - Generating Data with NumPy/001 Arrays of 0s and 1s.mp4 16.2 MB
19 - Working with Arrays/003 Conditional Slicing in NumPy.mp4 16.1 MB
26 - Data Visualization/036 Bar and Line Chart – How to Make a Good Bar and Line Graph.mp4 16.1 MB
07 - NumPy Basics/004 The NumPy Documentation.mp4 15.8 MB
08 - Pandas - Basics/005 Using an Index in pandas.mp4 15.7 MB
15 - pandas Series/005 .sort_index().mp4 15.7 MB
09 - Working with Text Files/026 Saving Your Data with NumPy - np.savez().mp4 15.4 MB
02 - Introduction to Data Analytics/005 Why Python.mp4 15.1 MB
04 - Python Basics/012 Operators - Logical and Identity Operators.mp4 15.0 MB
17 - NumPy Fundamentals/003 Elementwise Properties of Arrays.mp4 14.9 MB
23 - A Loan Data Example with NumPy/006 Manipulating Text Data Issue Date.mp4 14.9 MB
25 - Solution to the Absenteeism Exercise/017 Final Remarks on the Absenteeism Exercise.mp4 14.9 MB
17 - NumPy Fundamentals/001 Indexing in NumPy.mp4 14.9 MB
20 - Generating Data with NumPy/005 Basic Random Functions in NumPy.mp4 14.8 MB
15 - pandas Series/004 Attribute and Method Chaining.mp4 14.8 MB
26 - Data Visualization/021 Histogram - How to Create a Histogram Using Python.mp4 14.6 MB
21 - Statistics with NumPy/004 Averages and Variance in NumPy.mp4 14.6 MB
03 - Setting up the Environment/002 Programming Explained in a Few Minutes.mp4 14.3 MB
26 - Data Visualization/020 Histogram - Introduction - General Theory. Getting to Know the Dataset.mp4 14.3 MB
04 - Python Basics/015 Conditional Statements - The ELIF Statement.mp4 14.3 MB
08 - Pandas - Basics/001 Introduction to the pandas Library.mp4 14.2 MB
04 - Python Basics/001 Python Variables.mp4 14.1 MB
19 - Working with Arrays/002 Stepwise Slicing in NumPy.mp4 14.0 MB
26 - Data Visualization/001 What Is Data Visualization and Why Is It Important.mp4 14.0 MB
03 - Setting up the Environment/001 Introduction.mp4 13.8 MB
04 - Python Basics/002 Types of Data - Numbers and Boolean Values.mp4 13.7 MB
05 - Fundamentals for Coding in Python/002 Modules, Packages, and the Python Standard Library.mp4 13.6 MB
06 - Mathematics for Python/003 Linear Algebra and Geometry.mp4 13.6 MB
05 - Fundamentals for Coding in Python/005 What is Software Documentation.mp4 13.4 MB
03 - Setting up the Environment/008 Jupyter - Handling Error Messages.mp4 13.3 MB
15 - pandas Series/003 .sort_values().mp4 13.2 MB
07 - NumPy Basics/001 The NumPy Package and Why We Use It.mp4 13.0 MB
13 - APIs (POST requests are not needed for this course)/010 iTunes API Structuring and Exporting the Data.mp4 12.9 MB
09 - Working with Text Files/006 More on Text Files (.txt vs .csv).mp4 12.8 MB
26 - Data Visualization/015 Stacked Area Chart - How to Make a Good Stacked Area Chart.mp4 12.6 MB
08 - Pandas - Basics/015 Additional Notes on Using DataFrames.mp4 12.4 MB
26 - Data Visualization/032 Regression Plot - How to Make a Good Regression Plot.mp4 12.4 MB
10 - Working with Text Data/002 Manipulating Python Strings.mp4 12.3 MB
25 - Solution to the Absenteeism Exercise/015 Understanding the Meaning of 5 More Columns.mp4 12.2 MB
11 - Must-Know Python Tools/002 Nested For Loops - Introduction.mp4 12.2 MB
09 - Working with Text Files/001 Working with Files in Python - An Introduction.mp4 11.7 MB
08 - Pandas - Basics/012 Introduction to pandas DataFrames.mp4 11.7 MB
09 - Working with Text Files/014 Importing Data with the index_col Parameter.mp4 11.7 MB
06 - Mathematics for Python/005 What Is a Tensor.mp4 11.6 MB
09 - Working with Text Files/022 Importing Data with the pandas' Squeeze Parameter.mp4 11.6 MB
09 - Working with Text Files/020 Working with Excel Data (the .xlsx Format).mp4 11.6 MB
21 - Statistics with NumPy/007 Histograms in NumPy (Part 2).mp4 11.5 MB
06 - Mathematics for Python/009 Dot Product of Vectors.mp4 11.4 MB
11 - Must-Know Python Tools/001 Iterating Over Range Objects.mp4 11.1 MB
23 - A Loan Data Example with NumPy/005 Setting Up Creating Checkpoints.mp4 11.0 MB
09 - Working with Text Files/012 Importing .csv Files with pandas - Part II.mp4 10.9 MB
09 - Working with Text Files/003 Structured vs Semi-Structured and Unstructured Data.mp4 10.9 MB
26 - Data Visualization/005 Bar Chart - Introduction - General Theory and Getting to Know the Dataset.mp4 10.8 MB
13 - APIs (POST requests are not needed for this course)/005 Including Parameters in a GET Request.mp4 10.8 MB
09 - Working with Text Files/004 Data Connectivity through Text Files.mp4 10.6 MB
02 - Introduction to Data Analytics/001 Introduction to the World of Business and Data.mp4 10.4 MB
13 - APIs (POST requests are not needed for this course)/001 Overview of APIs.mp4 10.4 MB
26 - Data Visualization/027 Scatter Plot – Interpreting the Scatter Plot.mp4 10.2 MB
04 - Python Basics/028 Sequences - Dictionaries.mp4 10.1 MB
17 - NumPy Fundamentals/002 Assigning Values in NumPy.mp4 10.1 MB
17 - NumPy Fundamentals/006 Characteristics of NumPy Functions Part 2.mp4 10.1 MB
04 - Python Basics/018 Functions - Creating a Function with a Parameter.mp4 10.0 MB
25 - Solution to the Absenteeism Exercise/004 Using a Statistical Approach to Solve Our Exercise.mp4 9.9 MB
26 - Data Visualization/010 Pie Chart – Interpreting the Pie Chart.mp4 9.7 MB
26 - Data Visualization/014 Stacked Area Chart - Interpreting the Stacked Area Graph.mp4 9.6 MB
04 - Python Basics/024 Sequences - Lists.mp4 9.5 MB
26 - Data Visualization/029 Regression Plot - Introduction - General Theory. Getting to Know the Dataset.mp4 9.4 MB
26 - Data Visualization/033 Bar and Line Chart - Introduction - General Theory. Getting to Know the Dataset.mp4 9.4 MB
09 - Working with Text Files/002 File vs File Object, Read vs Parse.mp4 9.2 MB
08 - Pandas - Basics/009 Using Methods in Python - Part II.mp4 9.2 MB
04 - Python Basics/030 Iteration - While Loops and Incrementing.mp4 9.2 MB
26 - Data Visualization/025 Scatter Plot - Introduction - General Theory. Getting to Know the Dataset.mp4 8.7 MB
21 - Statistics with NumPy/005 Covariance and Correlation in NumPy.mp4 8.7 MB
20 - Generating Data with NumPy/002 _like functions in NumPy.mp4 8.7 MB
23 - A Loan Data Example with NumPy/011 Manipulating Text Data Converting Strings and Creating a Checkpoint.mp4 8.7 MB
04 - Python Basics/023 Functions - Notable Built-in Functions in Python.mp4 8.5 MB
05 - Fundamentals for Coding in Python/001 Object-Oriented Programming (OOP).mp4 8.4 MB
25 - Solution to the Absenteeism Exercise/32906066-Absenteeism-Exercise-Lectures.ipynb 8.4 MB
25 - Solution to the Absenteeism Exercise/32906128-Absenteeism-Exercise-Lectures.ipynb 8.4 MB
06 - Mathematics for Python/002 Scalars and Vectors.mp4 8.4 MB
09 - Working with Text Files/008 Common Naming Conventions Used in Programming.mp4 8.2 MB
02 - Introduction to Data Analytics/003 Data Analyst Compared to Other Data Jobs.mp4 8.2 MB
03 - Setting up the Environment/003 Jupyter - Introduction.mp4 8.2 MB
26 - Data Visualization/007 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph.mp4 8.2 MB
04 - Python Basics/025 Sequences - Using Methods.mp4 7.9 MB
26 - Data Visualization/035 Bar and Line Chart – Interpreting the Combination Bar and Line Graph.mp4 7.7 MB
07 - NumPy Basics/003 Ndarray.mp4 7.6 MB
26 - Data Visualization/012 Stacked Area Chart - Introduction - General Theory. Getting to Know the Dataset.mp4 7.6 MB
04 - Python Basics/027 Sequences - Tuples.mp4 7.4 MB
05 - Fundamentals for Coding in Python/003 Importing Modules.mp4 7.4 MB
04 - Python Basics/004 Basic Python Syntax - Arithmetic Operators.mp4 7.3 MB
04 - Python Basics/031 Iteration - Create Lists with the range() Function.mp4 7.2 MB
25 - Solution to the Absenteeism Exercise/011 Reordering Columns in a DataFrame.mp4 7.2 MB
24 - The Absenteeism Exercise - Introduction/002 The Absenteeism Exercise from a Business Perspective.mp4 7.2 MB
04 - Python Basics/032 Iteration - Use Conditional Statements and Loops Together.mp4 7.1 MB
03 - Setting up the Environment/007 Jupyter - Using Shortcuts.mp4 6.7 MB
04 - Python Basics/034 Iteration - Iterating over Dictionaries.mp4 6.5 MB
04 - Python Basics/019 Functions - Another Way to Define a Function.mp4 6.5 MB
13 - APIs (POST requests are not needed for this course)/002 GET and POST Requests.mp4 6.3 MB
25 - Solution to the Absenteeism Exercise/001 How to Complete the Absenteeism Exercise.mp4 6.2 MB
04 - Python Basics/021 Functions - Combining Conditional Statements and Functions.mp4 6.1 MB
03 - Setting up the Environment/005 Jupyter - Intro to Using Jupyter.mp4 5.9 MB
25 - Solution to the Absenteeism Exercise/008 Working with Dummy Variables - A Statistical Perspective.mp4 5.8 MB
06 - Mathematics for Python/007 Errors When Adding Matrices.mp4 5.8 MB
13 - APIs (POST requests are not needed for this course)/003 Data Exchange Format for APIs JSON.mp4 5.7 MB
24 - The Absenteeism Exercise - Introduction/003 The Dataset.mp4 5.7 MB
04 - Python Basics/029 Iteration - For Loops.mp4 5.5 MB
04 - Python Basics/013 Conditional Statements - The IF Statement.mp4 5.3 MB
04 - Python Basics/014 Conditional Statements - The ELSE Statement.mp4 5.2 MB
26 - Data Visualization/016 Line Chart - Introduction - General Theory. Getting to Know the Dataset.mp4 5.0 MB
26 - Data Visualization/022 Histogram – Interpreting the Histogram.mp4 4.9 MB
09 - Working with Text Files/007 Fixed-width Files.mp4 4.7 MB
03 - Setting up the Environment/009 Jupyter - Restarting the Kernel.mp4 4.7 MB
04 - Python Basics/033 Iteration - Conditional Statements, Functions, and Loops.mp4 4.3 MB
04 - Python Basics/016 Conditional Statements - A Note on Boolean Values.mp4 4.2 MB
04 - Python Basics/011 Operators - Comparison Operators.mp4 4.2 MB
07 - NumPy Basics/002 InstallingUpgrading NumPy.mp4 3.9 MB
24 - The Absenteeism Exercise - Introduction/001 An Introduction to the Absenteeism Exercise.mp4 3.7 MB
04 - Python Basics/020 Functions - Using a Function in Another Function.mp4 3.2 MB
04 - Python Basics/017 Functions - Defining a Function in Python.mp4 3.2 MB
04 - Python Basics/022 Functions - Creating Functions That Contain a Few Arguments.mp4 2.8 MB
04 - Python Basics/010 Basic Python Syntax - Indentation.mp4 2.8 MB
04 - Python Basics/005 Basic Python Syntax - The Double Equality Sign.mp4 2.7 MB
04 - Python Basics/007 Basic Python Syntax - Add Comments.mp4 2.4 MB
04 - Python Basics/009 Basic Python Syntax - Indexing Elements.mp4 2.4 MB
09 - Working with Text Files/029 Working with Text Files - Conclusion.mp4 2.1 MB
04 - Python Basics/006 Basic Python Syntax - Reassign Values.mp4 1.9 MB
26 - Data Visualization/32906208-Data-Visualization-Course-Notes.pdf 1.7 MB
23 - A Loan Data Example with NumPy/32905810-loan-data.csv 1.5 MB
23 - A Loan Data Example with NumPy/32905864-loan-data.csv 1.5 MB
08 - Pandas - Basics/32896346-Introduction-to-pandas-DataFrames.pdf 1.5 MB
04 - Python Basics/008 Basic Python Syntax - Line Continuation.mp4 1.2 MB
13 - APIs (POST requests are not needed for this course)/32906864-APIs-complete-notebook.ipynb 1.2 MB
26 - Data Visualization/32906548-Data-Viz-Homework-Solution-Notebook.ipynb 687.6 KB
09 - Working with Text Files/28764174-Data-Analyst-Common-Naming-Conventions.pdf 643.8 KB
09 - Working with Text Files/32896402-Common-Naming-Conventions.pdf 643.8 KB
03 - Setting up the Environment/32894066-Jupyter-Shortcuts.pdf 589.6 KB
13 - APIs (POST requests are not needed for this course)/32906880-15.8.Homework-Solution.ipynb 485.4 KB
16 - pandas DataFrames/32896844-pandas-DataFrames.pdf 438.2 KB
16 - pandas DataFrames/32896874-pandas-DataFrames.pdf 438.2 KB
09 - Working with Text Files/32896596-Lending-company.json 213.5 KB
16 - pandas DataFrames/32896890-Sales-products.csv 152.3 KB
16 - pandas DataFrames/38405832-Sales-products.csv 152.3 KB
25 - Solution to the Absenteeism Exercise/32906114-data-cleaning-homework.pdf 135.7 KB
25 - Solution to the Absenteeism Exercise/32906148-data-cleaning-homework.pdf 135.7 KB
16 - pandas DataFrames/32896864-Lending-company.csv 112.4 KB
16 - pandas DataFrames/32896886-Lending-company.csv 112.4 KB
09 - Working with Text Files/32896536-Lending-company-single-column-data.csv 109.3 KB
16 - pandas DataFrames/32896856-pandas-DataFrames-Solutions.ipynb 103.8 KB
16 - pandas DataFrames/32896882-pandas-DataFrames-Solutions.ipynb 103.8 KB
09 - Working with Text Files/32896534-Lending-company.xlsx 92.6 KB
22 - NumPy - Preprocessing/32905558-Preprocessing-Data-With-NumPy-Complete.ipynb 80.9 KB
22 - NumPy - Preprocessing/32905630-Preprocessing-Data-With-NumPy-Complete.ipynb 80.9 KB
04 - Python Basics/32894082-Python-Basics-Lectures.ipynb 74.9 KB
04 - Python Basics/32894124-Python-Basics-Lectures.ipynb 74.9 KB
04 - Python Basics/32894100-Python-Basics-Solutions.ipynb 73.5 KB
04 - Python Basics/32894142-Python-Basics-Solutions.ipynb 73.5 KB
23 - A Loan Data Example with NumPy/32905806-A-Loan-Data-Example-with-NumPy-Complete.ipynb 68.1 KB
23 - A Loan Data Example with NumPy/32905830-A-Loan-Data-Example-with-NumPy-Complete.ipynb 68.1 KB
09 - Working with Text Files/32896676-Lending-Company-Saving.csv 58.4 KB
08 - Pandas - Basics/32896382-Data-Analyst-pandas-Basics-Conclusion.pdf 51.3 KB
08 - Pandas - Basics/32896374-pandas-Basics-Solutions.ipynb 42.5 KB
08 - Pandas - Basics/32896390-pandas-Basics-Solutions.ipynb 42.5 KB
04 - Python Basics/32894084-Python-Basics-Exercises.ipynb 42.1 KB
04 - Python Basics/32894132-Python-Basics-Exercises.ipynb 42.1 KB
06 - Mathematics for Python/32896320-Mathematics-for-Python-Lectures.ipynb 34.8 KB
06 - Mathematics for Python/32896326-Mathematics-for-Python-Lectures.ipynb 34.8 KB
24 - The Absenteeism Exercise - Introduction/32905886-Absenteeism-data.csv 32.0 KB
25 - Solution to the Absenteeism Exercise/32906104-Absenteeism-data.csv 32.0 KB
25 - Solution to the Absenteeism Exercise/32906136-Absenteeism-data.csv 32.0 KB
09 - Working with Text Files/32896560-Lending-Company-Numeric-Data.csv 29.5 KB
22 - NumPy - Preprocessing/32905618-Lending-company-Numeric.csv 29.5 KB
22 - NumPy - Preprocessing/32905632-Lending-company-Numeric.csv 29.5 KB
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23 - A Loan Data Example with NumPy/32905812-loan-data-dictionary.xlsx 19.6 KB
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01 - Introduction to the Course/004 FAQ.html 18.2 KB
25 - Solution to the Absenteeism Exercise/32906098-Absenteeism-Exercise-df-cleaned.ipynb 17.9 KB
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16 - pandas DataFrames/006 A Few Comments on Using .loc[] and .iloc[]_en.vtt 14.7 KB
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08 - Pandas - Basics/011 the pandas Documentation_en.vtt 11.9 KB
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26 - Data Visualization/006 Bar Chart - How to Create a Bar Chart Using Python_en.vtt 11.5 KB
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22 - NumPy - Preprocessing/001 Checking for Missing Values in Ndarrays_en.vtt 11.0 KB
06 - Mathematics for Python/011 Why is Linear Algebra Useful_en.vtt 10.9 KB
11 - Must-Know Python Tools/004 List Comprehensions_en.vtt 10.9 KB
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21 - Statistics with NumPy/32905490-Statistics-With-NumPy-Exercise.ipynb 10.5 KB
23 - A Loan Data Example with NumPy/008 Manipulating Text Data Grade and Sub Grade_en.vtt 10.4 KB
26 - Data Visualization/004 Introduction into Colors and Color Theory_en.vtt 10.3 KB
15 - pandas Series/32896818-Region.csv 10.2 KB
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21 - Statistics with NumPy/006 Histograms in NumPy (Part 1)_en.vtt 9.8 KB
23 - A Loan Data Example with NumPy/014 Manipulating Numeric Data Currency Change - From USD to EUR_en.vtt 9.7 KB
12 - Data GatheringData Collection/001 What is data gatheringdata collection_en.vtt 9.5 KB
08 - Pandas - Basics/003 Introduction to pandas Series_en.vtt 9.3 KB
23 - A Loan Data Example with NumPy/012 Manipulating Numeric Data Substitute Filler Values_en.vtt 9.2 KB
25 - Solution to the Absenteeism Exercise/007 Splitting the Reasons for Absence into Multiple Dummy Variables_en.vtt 9.0 KB
25 - Solution to the Absenteeism Exercise/009 Grouping the Reason for Absence Columns_en.vtt 8.8 KB
10 - Working with Text Data/004 Using Various Python String Methods - Part II_en.vtt 8.8 KB
16 - pandas DataFrames/003 Data Selection in pandas DataFrames_en.vtt 8.8 KB
11 - Must-Know Python Tools/005 Anonymous (Lambda) Functions_en.vtt 8.7 KB
10 - Working with Text Data/003 Using Various Python String Methods - Part I_en.vtt 8.6 KB
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20 - Generating Data with NumPy/32905436-Generating-Data-With-NumPy-Exercise.ipynb 8.5 KB
22 - NumPy - Preprocessing/008 Shuffling Ndarrays_en.vtt 8.4 KB
05 - Fundamentals for Coding in Python/006 The Python Documentation_en.vtt 8.4 KB
26 - Data Visualization/011 Pie Chart - Why You Should Never Create a Pie Graph_en.vtt 8.3 KB
06 - Mathematics for Python/010 Dot Product of Matrices_en.vtt 8.3 KB
09 - Working with Text Files/016 Importing Data with NumPy - Partial Cleaning While Importing_en.vtt 8.2 KB
19 - Working with Arrays/32905376-Working-With-Arrays-Exercise.ipynb 8.2 KB
23 - A Loan Data Example with NumPy/007 Manipulating Text Data Loan Status and Term_en.vtt 8.2 KB
18 - NumPy DataTypes/003 Strings vs Object vs Number_en.vtt 8.1 KB
09 - Working with Text Files/013 Importing .csv Files with pandas - Part III_en.vtt 8.1 KB
26 - Data Visualization/026 Scatter Plot - How to Create a Scatter Plot Using Python_en.vtt 8.1 KB
26 - Data Visualization/003 Choosing the Right Visualization – What Are Some Popular Approaches and Framewor_en.vtt 8.0 KB
21 - Statistics with NumPy/003 Statistical Order Functions in NumPy_en.vtt 7.9 KB
03 - Setting up the Environment/008 Jupyter - Handling Error Messages_en.vtt 7.8 KB
26 - Data Visualization/019 Line Chart - How to Make a Good Line Chart_en.vtt 7.8 KB
23 - A Loan Data Example with NumPy/015 Completing the Dataset_en.vtt 7.8 KB
23 - A Loan Data Example with NumPy/013 Manipulating Numeric Data Currency Change – The Exchange Rate_en.vtt 7.7 KB
14 - Data Cleaning and Data Preprocessing/001 Data Cleaning and Data Preprocessing_en.vtt 7.7 KB
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01 - Introduction to the Course/002 What Does the Course Cover_en.vtt 7.6 KB
21 - Statistics with NumPy/002 Minimal and Maximal Values in NumPy_en.vtt 7.6 KB
19 - Working with Arrays/004 Dimensions and the Squeeze Function_en.vtt 7.6 KB
25 - Solution to the Absenteeism Exercise/012 Working on the 'Date' Column_en.vtt 7.5 KB
09 - Working with Text Files/011 Importing .csv Files with pandas - Part I_en.vtt 7.5 KB
18 - NumPy DataTypes/002 Arrays vs Lists_en.vtt 7.5 KB
09 - Working with Text Files/32896612-Customer-Gender.csv 7.4 KB
09 - Working with Text Files/021 An Important Exercise on Importing Data in Python_en.vtt 7.4 KB
08 - Pandas - Basics/013 Creating DataFrames from Scratch - Part I_en.vtt 7.4 KB
02 - Introduction to Data Analytics/004 Data Analyst Job Description_en.vtt 7.4 KB
22 - NumPy - Preprocessing/003 Reshaping Ndarrays_en.vtt 7.4 KB
22 - NumPy - Preprocessing/012 Concatenating Ndarrays_en.vtt 7.3 KB
02 - Introduction to Data Analytics/002 Relevant Terms Explained_en.vtt 7.3 KB
17 - NumPy Fundamentals/004 Types of Data Supported by NumPy_en.vtt 7.3 KB
11 - Must-Know Python Tools/002 Nested For Loops - Introduction_en.vtt 7.3 KB
26 - Data Visualization/034 Bar and Line Chart - How to Create a Combination Bar and Line Graph Using Python_en.vtt 7.3 KB
08 - Pandas - Basics/001 Introduction to the pandas Library_en.vtt 7.3 KB
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17 - NumPy Fundamentals/001 Indexing in NumPy_en.vtt 7.2 KB
08 - Pandas - Basics/012 Introduction to pandas DataFrames_en.vtt 7.2 KB
26 - Data Visualization/002 Why Learn Data Visualization_en.vtt 7.1 KB
23 - A Loan Data Example with NumPy/010 Manipulating Text Data State Address_en.vtt 7.1 KB
11 - Must-Know Python Tools/003 Triple Nested For Loops_en.vtt 7.1 KB
26 - Data Visualization/017 Line Chart - How to Create a Line Chart in Python_en.vtt 7.0 KB
15 - pandas Series/002 Converting Series into Arrays_en.vtt 7.0 KB
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25 - Solution to the Absenteeism Exercise/013 Extracting the Month Value from the 'Date' Column_en.vtt 6.9 KB
08 - Pandas - Basics/002 Installing and Running pandas_en.vtt 6.9 KB
20 - Generating Data with NumPy/001 Arrays of 0s and 1s_en.vtt 6.8 KB
08 - Pandas - Basics/007 More on Working with Indices in Python_en.vtt 6.8 KB
26 - Data Visualization/013 Stacked Area Chart - How to Create a Stacked Area Chart Using Python_en.vtt 6.8 KB
25 - Solution to the Absenteeism Exercise/005 Dropping the 'ID' Column_en.vtt 6.8 KB
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20 - Generating Data with NumPy/004 Random Generators and Seeds_en.vtt 6.8 KB
20 - Generating Data with NumPy/006 Probability Distributions in NumPy_en.vtt 6.8 KB
03 - Setting up the Environment/006 Jupyter - Working with Notebook Files_en.vtt 6.7 KB
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16 - pandas DataFrames/001 A Revision to pandas DataFrames_en.vtt 6.6 KB
02 - Introduction to Data Analytics/005 Why Python_en.vtt 6.6 KB
09 - Working with Text Files/010 Importing Text Files in Python ( with open() )_en.vtt 6.6 KB
09 - Working with Text Files/005 Principles of Importing Data in Python_en.vtt 6.5 KB
22 - NumPy - Preprocessing/006 Argument Sort in NumPy_en.vtt 6.5 KB
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08 - Pandas - Basics/014 Creating DataFrames from Scratch - Part II_en.vtt 6.3 KB
01 - Introduction to the Course/001 A Practical Example - What Will You Learn in This Course_en.vtt 6.3 KB
20 - Generating Data with NumPy/003 A Non-Random Sequence of Numbers_en.vtt 6.3 KB
22 - NumPy - Preprocessing/013 Finding Unique Values in Ndarrays_en.vtt 6.3 KB
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26 - Data Visualization/023 Histogram – Choosing the Number of Bins in a Histogram_en.vtt 6.2 KB
08 - Pandas - Basics/008 Using Methods in Python - Part I_en.vtt 6.2 KB
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03 - Setting up the Environment/002 Programming Explained in a Few Minutes_en.vtt 6.1 KB
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07 - NumPy Basics/004 The NumPy Documentation_en.vtt 6.0 KB
19 - Working with Arrays/002 Stepwise Slicing in NumPy_en.vtt 6.0 KB
08 - Pandas - Basics/006 Label-based vs Position-based Indexing_en.vtt 5.9 KB
26 - Data Visualization/001 What Is Data Visualization and Why Is It Important_en.vtt 5.9 KB
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19 - Working with Arrays/003 Conditional Slicing in NumPy_en.vtt 5.8 KB
23 - A Loan Data Example with NumPy/004 Setting Up Splitting the Dataset_en.vtt 5.8 KB
05 - Fundamentals for Coding in Python/002 Modules, Packages, and the Python Standard Library_en.vtt 5.8 KB
09 - Working with Text Files/026 Saving Your Data with NumPy - np.savez()_en.vtt 5.8 KB
04 - Python Basics/015 Conditional Statements - The ELIF Statement_en.vtt 5.8 KB
26 - Data Visualization/024 Histogram - How to Make a Good Histogram_en.vtt 5.7 KB
23 - A Loan Data Example with NumPy/009 Manipulating Text Data Verification Status & URL_en.vtt 5.7 KB
05 - Fundamentals for Coding in Python/005 What is Software Documentation_en.vtt 5.6 KB
17 - NumPy Fundamentals/005 Characteristics of NumPy Functions Part 1_en.vtt 5.6 KB
16 - pandas DataFrames/002 Common Attributes for Working with DataFrames_en.vtt 5.6 KB
21 - Statistics with NumPy/004 Averages and Variance in NumPy_en.vtt 5.5 KB
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21 - Statistics with NumPy/007 Histograms in NumPy (Part 2)_en.vtt 5.4 KB
13 - APIs (POST requests are not needed for this course)/004 Introducing the Exchange Rates API_en.vtt 5.4 KB
25 - Solution to the Absenteeism Exercise/006 Analysis of the 'Reason for Absence' Column_en.vtt 5.4 KB
08 - Pandas - Basics/010 Parameters vs Arguments_en.vtt 5.4 KB
13 - APIs (POST requests are not needed for this course)/007 Coding a Simple Currency Conversion Calculator_en.vtt 5.4 KB
05 - Fundamentals for Coding in Python/001 Object-Oriented Programming (OOP)_en.vtt 5.4 KB
11 - Must-Know Python Tools/001 Iterating Over Range Objects_en.vtt 5.3 KB
26 - Data Visualization/020 Histogram - Introduction - General Theory. Getting to Know the Dataset_en.vtt 5.3 KB
10 - Working with Text Data/002 Manipulating Python Strings_en.vtt 5.3 KB
09 - Working with Text Files/008 Common Naming Conventions Used in Programming_en.vtt 5.3 KB
13 - APIs (POST requests are not needed for this course)/008 iTunes API_en.vtt 5.2 KB
26 - Data Visualization/031 Regression Plot – Interpreting the Regression Scatter Plot_en.vtt 5.2 KB
13 - APIs (POST requests are not needed for this course)/006 More Functionalities of the Exchange Rates API_en.vtt 5.2 KB
26 - Data Visualization/021 Histogram - How to Create a Histogram Using Python_en.vtt 5.1 KB
15 - pandas Series/005 .sort_index()_en.vtt 5.1 KB
06 - Mathematics for Python/004 Arrays in Python_en.vtt 5.1 KB
20 - Generating Data with NumPy/32905420-Generating-Data-With-NumPy-Template.ipynb 5.1 KB
22 - NumPy - Preprocessing/010 Striping Values from Ndarrays_en.vtt 5.1 KB
04 - Python Basics/012 Operators - Logical and Identity Operators_en.vtt 5.1 KB
09 - Working with Text Files/001 Working with Files in Python - An Introduction_en.vtt 5.1 KB
08 - Pandas - Basics/005 Using an Index in pandas_en.vtt 5.0 KB
20 - Generating Data with NumPy/005 Basic Random Functions in NumPy_en.vtt 5.0 KB
07 - NumPy Basics/001 The NumPy Package and Why We Use It_en.vtt 5.0 KB
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03 - Setting up the Environment/004 Jupyter - Installing Anaconda_en.vtt 5.0 KB
20 - Generating Data with NumPy/007 Applications of Random Data in NumPy_en.vtt 5.0 KB
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25 - Solution to the Absenteeism Exercise/016 Modifying the 'Education' Column_en.vtt 5.0 KB
17 - NumPy Fundamentals/002 Assigning Values in NumPy_en.vtt 4.9 KB
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26 - Data Visualization/008 Pie Chart - Introduction - General Theory and Dataset_en.vtt 4.8 KB
15 - pandas Series/001 .unique(), .nunique()_en.vtt 4.8 KB
13 - APIs (POST requests are not needed for this course)/011 Pagination GitHub API_en.vtt 4.8 KB
23 - A Loan Data Example with NumPy/002 Setting Up Importing the Data Set_en.vtt 4.6 KB
09 - Working with Text Files/019 Prelude to Working with Excel Files in Python_en.vtt 4.6 KB
04 - Python Basics/026 Sequences - List Slicing_en.vtt 4.6 KB
26 - Data Visualization/036 Bar and Line Chart – How to Make a Good Bar and Line Graph_en.vtt 4.6 KB
26 - Data Visualization/015 Stacked Area Chart - How to Make a Good Stacked Area Chart_en.vtt 4.6 KB
25 - Solution to the Absenteeism Exercise/010 Concatenating Columns in a pandas DataFrame_en.vtt 4.5 KB
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04 - Python Basics/024 Sequences - Lists_en.vtt 4.3 KB
03 - Setting up the Environment/007 Jupyter - Using Shortcuts_en.vtt 4.1 KB
20 - Generating Data with NumPy/002 _like functions in NumPy_en.vtt 4.1 KB
13 - APIs (POST requests are not needed for this course)/001 Overview of APIs_en.vtt 4.1 KB
03 - Setting up the Environment/003 Jupyter - Introduction_en.vtt 4.1 KB
05 - Fundamentals for Coding in Python/003 Importing Modules_en.vtt 4.1 KB
09 - Working with Text Files/004 Data Connectivity through Text Files_en.vtt 4.1 KB
23 - A Loan Data Example with NumPy/011 Manipulating Text Data Converting Strings and Creating a Checkpoint_en.vtt 4.1 KB
09 - Working with Text Files/023 A Note on Importing Files in Jupyter_en.vtt 4.0 KB
04 - Python Basics/001 Python Variables_en.vtt 4.0 KB
09 - Working with Text Files/024 Saving Your Data with pandas_en.vtt 3.9 KB
25 - Solution to the Absenteeism Exercise/015 Understanding the Meaning of 5 More Columns_en.vtt 3.9 KB
06 - Mathematics for Python/001 What Is а Matrix_en.vtt 3.9 KB
26 - Data Visualization/032 Regression Plot - How to Make a Good Regression Plot_en.vtt 3.9 KB
25 - Solution to the Absenteeism Exercise/014 Creating the 'Day of the Week' Column_en.vtt 3.8 KB
13 - APIs (POST requests are not needed for this course)/005 Including Parameters in a GET Request_en.vtt 3.8 KB
21 - Statistics with NumPy/008 NAN Equivalent Functions in NumPy_en.vtt 3.8 KB
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04 - Python Basics/004 Basic Python Syntax - Arithmetic Operators_en.vtt 3.8 KB
26 - Data Visualization/012 Stacked Area Chart - Introduction - General Theory. Getting to Know the Dataset_en.vtt 3.8 KB
26 - Data Visualization/028 Scatter Plot - How to Make a Good Scatter Plot_en.vtt 3.8 KB
04 - Python Basics/018 Functions - Creating a Function with a Parameter_en.vtt 3.8 KB
06 - Mathematics for Python/009 Dot Product of Vectors_en.vtt 3.8 KB
04 - Python Basics/023 Functions - Notable Built-in Functions in Python_en.vtt 3.7 KB
26 - Data Visualization/033 Bar and Line Chart - Introduction - General Theory. Getting to Know the Dataset_en.vtt 3.7 KB
04 - Python Basics/028 Sequences - Dictionaries_en.vtt 3.7 KB
09 - Working with Text Files/002 File vs File Object, Read vs Parse_en.vtt 3.7 KB
07 - NumPy Basics/003 Ndarray_en.vtt 3.7 KB
25 - Solution to the Absenteeism Exercise/003 Note Programming vs the Rest of the World_en.vtt 3.6 KB
26 - Data Visualization/018 Line Chart - Interpretation_en.vtt 3.6 KB
04 - Python Basics/025 Sequences - Using Methods_en.vtt 3.5 KB
06 - Mathematics for Python/003 Linear Algebra and Geometry_en.vtt 3.5 KB
13 - APIs (POST requests are not needed for this course)/002 GET and POST Requests_en.vtt 3.5 KB
06 - Mathematics for Python/006 Adding and Subtracting Matrices_en.vtt 3.5 KB
26 - Data Visualization/027 Scatter Plot – Interpreting the Scatter Plot_en.vtt 3.4 KB
09 - Working with Text Files/014 Importing Data with the index_col Parameter_en.vtt 3.4 KB
26 - Data Visualization/029 Regression Plot - Introduction - General Theory. Getting to Know the Dataset_en.vtt 3.4 KB
06 - Mathematics for Python/002 Scalars and Vectors_en.vtt 3.4 KB
04 - Python Basics/032 Iteration - Use Conditional Statements and Loops Together_en.vtt 3.3 KB
08 - Pandas - Basics/009 Using Methods in Python - Part II_en.vtt 3.3 KB
02 - Introduction to Data Analytics/001 Introduction to the World of Business and Data_en.vtt 3.2 KB
13 - APIs (POST requests are not needed for this course)/003 Data Exchange Format for APIs JSON_en.vtt 3.2 KB
06 - Mathematics for Python/005 What Is a Tensor_en.vtt 3.2 KB
26 - Data Visualization/007 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph_en.vtt 3.2 KB
04 - Python Basics/034 Iteration - Iterating over Dictionaries_en.vtt 3.2 KB
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03 - Setting up the Environment/005 Jupyter - Intro to Using Jupyter_en.vtt 3.2 KB
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27 - Conclusion/001 Conclusion_en.vtt 3.0 KB
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