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14 – Data Cleaning and Data Preprocessing

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001 Data Cleaning and Data Preprocessing.mp4

27 – Conclusion

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001 Conclusion.mp4

26 – Data Visualization

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028 Scatter Plot – How to Make a Good Scatter Plot.mp4

020 Histogram – Introduction – General Theory. Getting to Know the Dataset.mp4

021 Histogram – How to Create a Histogram Using Python.mp4

022 Histogram – Interpreting the Histogram.mp4

023 Histogram – Choosing the Number of Bins in a Histogram.mp4

024 Histogram – How to Make a Good Histogram.mp4

025 Scatter Plot – Introduction – General Theory. Getting to Know the Dataset.mp4

026 Scatter Plot – How to Create a Scatter Plot Using Python.mp4

027 Scatter Plot – Interpreting the Scatter Plot.mp4

019 Line Chart – How to Make a Good Line Chart.mp4

029 Regression Plot – Introduction – General Theory. Getting to Know the Dataset.mp4

030 Regression Plot – How to Create a Regression Scatter Plot Using Python.mp4

031 Regression Plot – Interpreting the Regression Scatter Plot.mp4

032 Regression Plot – How to Make a Good Regression Plot.mp4

033 Bar and Line Chart – Introduction – General Theory. Getting to Know the Dataset.mp4

034 Bar and Line Chart – How to Create a Combination Bar and Line Graph Using Python.mp4

035 Bar and Line Chart – Interpreting the Combination Bar and Line Graph.mp4

036 Bar and Line Chart – How to Make a Good Bar and Line Graph.mp4

010 Pie Chart – Interpreting the Pie Chart.mp4

002 Why Learn Data Visualization.mp4

003 Choosing the Right Visualization – What Are Some Popular Approaches and Framewor.mp4

004 Introduction into Colors and Color Theory.mp4

005 Bar Chart – Introduction – General Theory and Getting to Know the Dataset.mp4

006 Bar Chart – How to Create a Bar Chart Using Python.mp4

007 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph.mp4

008 Pie Chart – Introduction – General Theory and Dataset.mp4

009 Pie Chart – How to Create a Pie Chart Using Python.mp4

001 What Is Data Visualization and Why Is It Important.mp4

011 Pie Chart – Why You Should Never Create a Pie Graph.mp4

012 Stacked Area Chart – Introduction – General Theory. Getting to Know the Dataset.mp4

013 Stacked Area Chart – How to Create a Stacked Area Chart Using Python.mp4

014 Stacked Area Chart – Interpreting the Stacked Area Graph.mp4

015 Stacked Area Chart – How to Make a Good Stacked Area Chart.mp4

016 Line Chart – Introduction – General Theory. Getting to Know the Dataset.mp4

017 Line Chart – How to Create a Line Chart in Python.mp4

018 Line Chart – Interpretation.mp4

25 – Solution to the Absenteeism Exercise

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009 Grouping the Reason for Absence Columns.mp4

018 Final Remarks on the Absenteeism Exercise.mp4

017 Modifying the ‘Education’ Column.mp4

016 Understanding the Meaning of 5 More Columns.mp4

015 Creating the ‘Day of the Week’ Column.mp4

014 Extracting the Month Value from the ‘Date’ Column.mp4

013 Working on the ‘Date’ Column.mp4

011 Reordering Columns in a DataFrame.mp4

010 Concatenating Columns in a pandas DataFrame.mp4

001 How to Complete the Absenteeism Exercise.mp4

008 Working with Dummy Variables – A Statistical Perspective.mp4

007 Splitting the Reasons for Absence into Multiple Dummy Variables.mp4

006 Analysis of the ‘Reason for Absence’ Column.mp4

005 Dropping the ‘ID’ Column.mp4

004 Using a Statistical Approach to Solve Our Exercise.mp4

003 Note Programming vs the Rest of the World.mp4

002 Eyeball Your Data First.mp4

24 – The Absenteeism Exercise – Introduction

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001 An Introduction to the Absenteeism Exercise.mp4

002 The Absenteeism Exercise from a Business Perspective.mp4

003 The Dataset.mp4

23 – A Loan Data Example with NumPy

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001 Setting Up Introduction to the Practical Example.mp4

002 Setting Up Importing the Data Set.mp4

003 Setting Up Checking for Incomplete Data.mp4

004 Setting Up Splitting the Dataset.mp4

005 Setting Up Creating Checkpoints.mp4

006 Manipulating Text Data Issue Date.mp4

007 Manipulating Text Data Loan Status and Term.mp4

008 Manipulating Text Data Grade and Sub Grade.mp4

009 Manipulating Text Data Verification Status & URL.mp4

010 Manipulating Text Data State Address.mp4

011 Manipulating Text Data Converting Strings and Creating a Checkpoint.mp4

012 Manipulating Numeric Data Substitute Filler Values.mp4

013 Manipulating Numeric Data Currency Change – The Exchange Rate.mp4

014 Manipulating Numeric Data Currency Change – From USD to EUR.mp4

015 Completing the Dataset.mp4

22 – NumPy – Preprocessing

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001 Checking for Missing Values in Ndarrays.mp4

002 Substituting Missing Values in Ndarrays.mp4

003 Reshaping Ndarrays.mp4

004 Removing Values from Ndarrays.mp4

005 Sorting Ndarrays.mp4

006 Argument Sort in NumPy.mp4

007 Argument Where in NumPy.mp4

008 Shuffling Ndarrays.mp4

009 Casting Ndarrays.mp4

010 Striping Values from Ndarrays.mp4

011 Stacking Ndarrays.mp4

012 Concatenating Ndarrays.mp4

013 Finding Unique Values in Ndarrays.mp4

21 – Statistics with NumPy

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001 Using Statistical Functions in NumPy.mp4

002 Minimal and Maximal Values in NumPy.mp4

003 Statistical Order Functions in NumPy.mp4

004 Averages and Variance in NumPy.mp4

005 Covariance and Correlation in NumPy.mp4

006 Histograms in NumPy (Part 1).mp4

007 Histograms in NumPy (Part 2).mp4

008 NAN Equivalent Functions in NumPy.mp4

20 – Generating Data with NumPy

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001 Arrays of 0s and 1s.mp4

002 _like functions in NumPy.mp4

003 A Non-Random Sequence of Numbers.mp4

004 Random Generators and Seeds.mp4

005 Basic Random Functions in NumPy.mp4

006 Probability Distributions in NumPy.mp4

007 Applications of Random Data in NumPy.mp4

19 – Working with Arrays

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001 Basic Slicing in NumPy.mp4

002 Stepwise Slicing in NumPy.mp4

003 Conditional Slicing in NumPy.mp4

004 Dimensions and the Squeeze Function.mp4

18 – NumPy DataTypes

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001 ndarrays.mp4

002 Arrays vs Lists.mp4

003 Strings vs Object vs Number.mp4

17 – NumPy Fundamentals

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001 Indexing in NumPy.mp4

002 Assigning Values in NumPy.mp4

003 Elementwise Properties of Arrays.mp4

004 Types of Data Supported by NumPy.mp4

005 Characteristics of NumPy Functions Part 1.mp4

006 Characteristics of NumPy Functions Part 2.mp4

16 – pandas DataFrames

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001 A Revision to pandas DataFrames.mp4

002 Common Attributes for Working with DataFrames.mp4

003 Data Selection in pandas DataFrames.mp4

004 Data Selection – Indexing with .iloc[].mp4

005 Data Selection – Indexing with .loc[].mp4

006 A Few Comments on Using .loc[] and .iloc[].mp4

15 – pandas Series

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002 .unique(), .nunique().mp4

009 Converting Series into Arrays.mp4

010 .sort_values().mp4

015 Attribute and Method Chaining.mp4

022 .sort_index().mp4

01 – Introduction to the Course

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001 A Practical Example – What Will You Learn in This Course.mp4

002 What Does the Course Cover.mp4

13 – APIs (POST requests are not needed for this course)

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001 Overview of APIs.mp4

002 GET and POST Requests.mp4

003 Data Exchange Format for APIs JSON.mp4

004 Introducing the Exchange Rates API.mp4

005 Including Parameters in a GET Request.mp4

006 More Functionalities of the Exchange Rates API.mp4

007 Coding a Simple Currency Conversion Calculator.mp4

008 iTunes API.mp4

010 iTunes API Structuring and Exporting the Data.mp4

011 Pagination GitHub API.mp4

12 – Data GatheringData Collection

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001 What is data gatheringdata collection.mp4

11 – Must-Know Python Tools

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001 Iterating Over Range Objects.mp4

002 Nested For Loops – Introduction.mp4

003 Triple Nested For Loops.mp4

011 List Comprehensions.mp4

017 Anonymous (Lambda) Functions.mp4

10 – Working with Text Data

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001 Working with Text Data and Argument Specifiers.mp4

005 Manipulating Python Strings.mp4

011 Using Various Python String Methods – Part I.mp4

027 Using Various Python String Methods – Part II.mp4

033 String Accessors.mp4

039 Using the .format() Method.mp4

09 – Working with Text Files

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014 Importing Data with the index_col Parameter.mp4

029 Working with Text Files – Conclusion.mp4

027 Saving Your Data with NumPy – np.savetxt().mp4

026 Saving Your Data with NumPy – np.savez().mp4

025 Saving Your Data with NumPy – np.save().mp4

024 Saving Your Data with pandas.mp4

023 A Note on Importing Files in Jupyter.mp4

022 Importing Data with the pandas’ Squeeze Method.mp4

021 An Important Exercise on Importing Data in Python.mp4

020 Working with Excel Data (the .xlsx Format).mp4

019 Prelude to Working with Excel Files in Python.mp4

018 Importing .json Files.mp4

016 Importing Data with NumPy – Partial Cleaning While Importing.mp4

015 Importing Data with NumPy – .loadtxt() vs genfromtxt().mp4

001 Working with Files in Python – An Introduction.mp4

013 Importing .csv Files with pandas – Part III.mp4

012 Importing .csv Files with pandas – Part II.mp4

011 Importing .csv Files with pandas – Part I.mp4

010 Importing Text Files in Python ( with open() ).mp4

009 Importing Text Files in Python ( open() ).mp4

008 Common Naming Conventions Used in Programming.mp4

007 Fixed-width Files.mp4

006 More on Text Files (.txt vs .csv).mp4

005 Principles of Importing Data in Python.mp4

004 Data Connectivity through Text Files.mp4

003 Structured vs Semi-Structured and Unstructured Data.mp4

002 File vs File Object, Read vs Parse.mp4

08 – Pandas – Basics

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001 Introduction to the pandas Library.mp4

002 Installing and Running pandas.mp4

006 Introduction to pandas Series.mp4

017 Working with Attributes in Python.mp4

025 Using an Index in pandas.mp4

031 Label-based vs Position-based Indexing.mp4

034 More on Working with Indices in Python.mp4

038 Using Methods in Python – Part I.mp4

039 Using Methods in Python – Part II.mp4

042 Parameters vs Arguments.mp4

045 The pandas Documentation.mp4

046 Introduction to pandas DataFrames.mp4

047 Creating DataFrames from Scratch – Part I.mp4

050 Creating DataFrames from Scratch – Part II.mp4

054 Additional Notes on Using DataFrames.mp4

07 – NumPy Basics

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001 The NumPy Package and Why We Use It.mp4

002 InstallingUpgrading NumPy.mp4

003 Ndarray.mp4

004 The NumPy Documentation.mp4

06 – Mathematics for Python

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001 What Is Ð° Matrix.decrypted.mp4

001 What Is а Matrix.mp4

002 Scalars and Vectors.mp4

003 Linear Algebra and Geometry.mp4

004 Arrays in Python.mp4

005 What Is a Tensor.mp4

006 Adding and Subtracting Matrices.mp4

007 Errors When Adding Matrices.mp4

008 Transpose.mp4

009 Dot Product of Vectors.mp4

010 Dot Product of Matrices.mp4

011 Why is Linear Algebra Useful.mp4

05 – Fundamentals for Coding in Python

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001 Object-Oriented Programming (OOP).mp4

002 Modules, Packages, and the Python Standard Library.mp4

003 Importing Modules.mp4

004 Introduction to Using NumPy and pandas.mp4

005 What is Software Documentation.mp4

006 The Python Documentation.mp4

04 – Python Basics

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119 Sequences – Tuples.mp4

080 Functions – Another Way to Define a Function.mp4

082 Functions – Using a Function in Another Function.mp4

084 Functions – Combining Conditional Statements and Functions.mp4

086 Functions – Creating Functions That Contain a Few Arguments.mp4

087 Functions – Notable Built-in Functions in Python.mp4

098 Sequences – Lists.mp4

105 Sequences – Using Methods.mp4

111 Sequences – List Slicing.mp4

077 Functions – Creating a Function with a Parameter.mp4

124 Sequences – Dictionaries.mp4

132 Iteration – For Loops.mp4

136 Iteration – While Loops and Incrementing.mp4

138 Iteration – Create Lists with the range() Function.mp4

143 Iteration – Use Conditional Statements and Loops Together.mp4

147 Iteration – Conditional Statements, Functions, and Loops.mp4

149 Iteration – Iterating over Dictionaries.mp4

048 Basic Python Syntax – Indentation.mp4

007 Types of Data – Numbers and Boolean Values.mp4

014 Types of Data – Strings.mp4

021 Basic Python Syntax – Arithmetic Operators.mp4

031 Basic Python Syntax – The Double Equality Sign.mp4

034 Basic Python Syntax – Reassign Values.mp4

040 Basic Python Syntax – Add Comments.mp4

042 Basic Python Syntax – Line Continuation.mp4

044 Basic Python Syntax – Indexing Elements.mp4

001 Python Variables.mp4

051 Operators – Comparison Operators.mp4

057 Operators – Logical and Identity Operators.mp4

065 Conditional Statements – The IF Statement.mp4

069 Conditional Statements – The ELSE Statement.mp4

071 Conditional Statements – The ELIF Statement.mp4

074 Conditional Statements – A Note on Boolean Values.mp4

076 Functions – Defining a Function in Python.mp4

03 – Setting up the Environment

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001 Introduction.mp4

002 Programming Explained in a Few Minutes.mp4

004 Jupyter – Introduction.mp4

005 Jupyter – Installing Anaconda.mp4

006 Jupyter – Intro to Using Jupyter.mp4

007 Jupyter – Working with Notebook Files.mp4

008 Jupyter – Using Shortcuts.mp4

009 Jupyter – Handling Error Messages.mp4

010 Jupyter – Restarting the Kernel.mp4

02 – Introduction to Data Analytics

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001 Introduction to the World of Business and Data.mp4

002 Relevant Terms Explained.mp4

003 Data Analyst Compared to Other Data Jobs.mp4

004 Data Analyst Job Description.mp4

005 Why Python.mp4

[Last updated 12/2023] The Data Analyst Course: Complete Data Analyst Bootcamp (Udemy – Vietsub and Engsub)

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