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[GigaCourse.Com] Udemy - The Data Analyst Course Complete Data Analyst Bootcamp 2022
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2022-12-27 12:10
2024-12-23 00:05
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5.1 GB
259
磁力链接
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GigaCourse
Com
Udemy
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The
Data
Analyst
Course
Complete
Data
Analyst
Bootcamp
2022
文件列表
01 - Introduction to the Course/001 A Practical Example - What Will You Learn in This Course.mp4
58.11MB
01 - Introduction to the Course/002 What Does the Course Cover.mp4
60.77MB
02 - Introduction to Data Analytics/001 Introduction to the World of Business and Data.mp4
10.4MB
02 - Introduction to Data Analytics/002 Relevant Terms Explained.mp4
17.13MB
02 - Introduction to Data Analytics/003 Data Analyst Compared to Other Data Jobs.mp4
8.21MB
02 - Introduction to Data Analytics/004 Data Analyst Job Description.mp4
19.93MB
02 - Introduction to Data Analytics/005 Why Python.mp4
15.1MB
03 - Setting up the Environment/001 Introduction.mp4
13.81MB
03 - Setting up the Environment/002 Programming Explained in a Few Minutes.mp4
14.34MB
03 - Setting up the Environment/003 Jupyter - Introduction.mp4
8.2MB
03 - Setting up the Environment/004 Jupyter - Installing Anaconda.mp4
21.46MB
03 - Setting up the Environment/005 Jupyter - Intro to Using Jupyter.mp4
5.88MB
03 - Setting up the Environment/006 Jupyter - Working with Notebook Files.mp4
18.63MB
03 - Setting up the Environment/007 Jupyter - Using Shortcuts.mp4
6.67MB
03 - Setting up the Environment/008 Jupyter - Handling Error Messages.mp4
13.26MB
03 - Setting up the Environment/009 Jupyter - Restarting the Kernel.mp4
4.71MB
04 - Python Basics/001 Python Variables.mp4
14.08MB
04 - Python Basics/002 Types of Data - Numbers and Boolean Values.mp4
13.7MB
04 - Python Basics/003 Types of Data - Strings.mp4
19.73MB
04 - Python Basics/004 Basic Python Syntax - Arithmetic Operators.mp4
7.29MB
04 - Python Basics/005 Basic Python Syntax - The Double Equality Sign.mp4
2.72MB
04 - Python Basics/006 Basic Python Syntax - Reassign Values.mp4
1.87MB
04 - Python Basics/007 Basic Python Syntax - Add Comments.mp4
2.41MB
04 - Python Basics/008 Basic Python Syntax - Line Continuation.mp4
1.2MB
04 - Python Basics/009 Basic Python Syntax - Indexing Elements.mp4
2.37MB
04 - Python Basics/010 Basic Python Syntax - Indentation.mp4
2.8MB
04 - Python Basics/011 Operators - Comparison Operators.mp4
4.16MB
04 - Python Basics/012 Operators - Logical and Identity Operators.mp4
15.05MB
04 - Python Basics/013 Conditional Statements - The IF Statement.mp4
5.33MB
04 - Python Basics/014 Conditional Statements - The ELSE Statement.mp4
5.25MB
04 - Python Basics/015 Conditional Statements - The ELIF Statement.mp4
14.25MB
04 - Python Basics/016 Conditional Statements - A Note on Boolean Values.mp4
4.25MB
04 - Python Basics/017 Functions - Defining a Function in Python.mp4
3.23MB
04 - Python Basics/018 Functions - Creating a Function with a Parameter.mp4
10MB
04 - Python Basics/019 Functions - Another Way to Define a Function.mp4
6.46MB
04 - Python Basics/020 Functions - Using a Function in Another Function.mp4
3.24MB
04 - Python Basics/021 Functions - Combining Conditional Statements and Functions.mp4
6.1MB
04 - Python Basics/022 Functions - Creating Functions That Contain a Few Arguments.mp4
2.82MB
04 - Python Basics/023 Functions - Notable Built-in Functions in Python.mp4
8.5MB
04 - Python Basics/024 Sequences - Lists.mp4
9.53MB
04 - Python Basics/025 Sequences - Using Methods.mp4
7.93MB
04 - Python Basics/026 Sequences - List Slicing.mp4
19.19MB
04 - Python Basics/027 Sequences - Tuples.mp4
7.41MB
04 - Python Basics/028 Sequences - Dictionaries.mp4
10.14MB
04 - Python Basics/029 Iteration - For Loops.mp4
5.51MB
04 - Python Basics/030 Iteration - While Loops and Incrementing.mp4
9.15MB
04 - Python Basics/031 Iteration - Create Lists with the range() Function.mp4
7.25MB
04 - Python Basics/032 Iteration - Use Conditional Statements and Loops Together.mp4
7.13MB
04 - Python Basics/033 Iteration - Conditional Statements, Functions, and Loops.mp4
4.27MB
04 - Python Basics/034 Iteration - Iterating over Dictionaries.mp4
6.54MB
05 - Fundamentals for Coding in Python/001 Object-Oriented Programming (OOP).mp4
8.43MB
05 - Fundamentals for Coding in Python/002 Modules, Packages, and the Python Standard Library.mp4
13.61MB
05 - Fundamentals for Coding in Python/003 Importing Modules.mp4
7.41MB
05 - Fundamentals for Coding in Python/004 Introduction to Using NumPy and pandas.mp4
31.9MB
05 - Fundamentals for Coding in Python/005 What is Software Documentation.mp4
13.4MB
05 - Fundamentals for Coding in Python/006 The Python Documentation.mp4
43.94MB
06 - Mathematics for Python/002 Scalars and Vectors.mp4
8.39MB
06 - Mathematics for Python/003 Linear Algebra and Geometry.mp4
13.56MB
06 - Mathematics for Python/004 Arrays in Python.mp4
19MB
06 - Mathematics for Python/005 What Is a Tensor.mp4
11.62MB
06 - Mathematics for Python/006 Adding and Subtracting Matrices.mp4
22.1MB
06 - Mathematics for Python/007 Errors When Adding Matrices.mp4
5.76MB
06 - Mathematics for Python/008 Transpose.mp4
20.5MB
06 - Mathematics for Python/009 Dot Product of Vectors.mp4
11.36MB
06 - Mathematics for Python/010 Dot Product of Matrices.mp4
26.42MB
06 - Mathematics for Python/011 Why is Linear Algebra Useful.mp4
86.22MB
07 - NumPy Basics/001 The NumPy Package and Why We Use It.mp4
13.03MB
07 - NumPy Basics/002 InstallingUpgrading NumPy.mp4
3.92MB
07 - NumPy Basics/003 Ndarray.mp4
7.64MB
07 - NumPy Basics/004 The NumPy Documentation.mp4
15.82MB
08 - Pandas - Basics/001 Introduction to the pandas Library.mp4
14.22MB
08 - Pandas - Basics/002 Installing and Running pandas.mp4
37.73MB
08 - Pandas - Basics/003 Introduction to pandas Series.mp4
24.62MB
08 - Pandas - Basics/004 Working with Attributes in Python.mp4
26.84MB
08 - Pandas - Basics/005 Using an Index in pandas.mp4
15.73MB
08 - Pandas - Basics/006 Label-based vs Position-based Indexing.mp4
24.52MB
08 - Pandas - Basics/007 More on Working with Indices in Python.mp4
33.21MB
08 - Pandas - Basics/008 Using Methods in Python - Part I.mp4
17.04MB
08 - Pandas - Basics/009 Using Methods in Python - Part II.mp4
9.18MB
08 - Pandas - Basics/010 Parameters vs Arguments.mp4
16.78MB
08 - Pandas - Basics/011 the pandas Documentation.mp4
52.02MB
08 - Pandas - Basics/012 Introduction to pandas DataFrames.mp4
11.71MB
08 - Pandas - Basics/013 Creating DataFrames from Scratch - Part I.mp4
26.06MB
08 - Pandas - Basics/014 Creating DataFrames from Scratch - Part II.mp4
29.79MB
08 - Pandas - Basics/015 Additional Notes on Using DataFrames.mp4
12.41MB
09 - Working with Text Files/001 Working with Files in Python - An Introduction.mp4
11.73MB
09 - Working with Text Files/002 File vs File Object, Read vs Parse.mp4
9.23MB
09 - Working with Text Files/003 Structured vs Semi-Structured and Unstructured Data.mp4
10.85MB
09 - Working with Text Files/004 Data Connectivity through Text Files.mp4
10.57MB
09 - Working with Text Files/005 Principles of Importing Data in Python.mp4
16.45MB
09 - Working with Text Files/006 More on Text Files (.txt vs .csv).mp4
12.82MB
09 - Working with Text Files/007 Fixed-width Files.mp4
4.73MB
09 - Working with Text Files/008 Common Naming Conventions Used in Programming.mp4
8.22MB
09 - Working with Text Files/009 Importing Text Files in Python ( open() ).mp4
24.83MB
09 - Working with Text Files/010 Importing Text Files in Python ( with open() ).mp4
26.29MB
09 - Working with Text Files/011 Importing .csv Files with pandas - Part I.mp4
49.84MB
09 - Working with Text Files/012 Importing .csv Files with pandas - Part II.mp4
10.91MB
09 - Working with Text Files/013 Importing .csv Files with pandas - Part III.mp4
75.11MB
09 - Working with Text Files/014 Importing Data with the index_col Parameter.mp4
11.65MB
09 - Working with Text Files/015 Importing Data with NumPy - .loadtxt() vs genfromtxt().mp4
56.48MB
09 - Working with Text Files/016 Importing Data with NumPy - Partial Cleaning While Importing.mp4
30.51MB
09 - Working with Text Files/018 Importing .json Files.mp4
48.53MB
09 - Working with Text Files/019 Prelude to Working with Excel Files in Python.mp4
43.03MB
09 - Working with Text Files/020 Working with Excel Data (the .xlsx Format).mp4
11.55MB
09 - Working with Text Files/021 An Important Exercise on Importing Data in Python.mp4
42.97MB
09 - Working with Text Files/022 Importing Data with the pandas' Squeeze Parameter.mp4
11.58MB
09 - Working with Text Files/023 A Note on Importing Files in Jupyter.mp4
19.68MB
09 - Working with Text Files/024 Saving Your Data with pandas.mp4
27.68MB
09 - Working with Text Files/025 Saving Your Data with NumPy - np.save().mp4
18.93MB
09 - Working with Text Files/026 Saving Your Data with NumPy - np.savez().mp4
15.41MB
09 - Working with Text Files/027 Saving Your Data with NumPy - np.savetxt().mp4
20.84MB
09 - Working with Text Files/029 Working with Text Files - Conclusion.mp4
2.06MB
10 - Working with Text Data/001 Working with Text Data and Argument Specifiers.mp4
21.35MB
10 - Working with Text Data/002 Manipulating Python Strings.mp4
12.29MB
10 - Working with Text Data/003 Using Various Python String Methods - Part I.mp4
23.59MB
10 - Working with Text Data/004 Using Various Python String Methods - Part II.mp4
20.37MB
10 - Working with Text Data/005 String Accessors.mp4
30.62MB
10 - Working with Text Data/006 Using the .format() Method.mp4
21.66MB
11 - Must-Know Python Tools/001 Iterating Over Range Objects.mp4
11.06MB
11 - Must-Know Python Tools/002 Nested For Loops - Introduction.mp4
12.21MB
11 - Must-Know Python Tools/003 Triple Nested For Loops.mp4
19.41MB
11 - Must-Know Python Tools/004 List Comprehensions.mp4
43.2MB
11 - Must-Know Python Tools/005 Anonymous (Lambda) Functions.mp4
33.7MB
12 - Data GatheringData Collection/001 What is data gatheringdata collection.mp4
19.17MB
13 - APIs (POST requests are not needed for this course)/001 Overview of APIs.mp4
10.4MB
13 - APIs (POST requests are not needed for this course)/002 GET and POST Requests.mp4
6.27MB
13 - APIs (POST requests are not needed for this course)/003 Data Exchange Format for APIs JSON.mp4
5.7MB
13 - APIs (POST requests are not needed for this course)/004 Introducing the Exchange Rates API.mp4
25.19MB
13 - APIs (POST requests are not needed for this course)/005 Including Parameters in a GET Request.mp4
10.8MB
13 - APIs (POST requests are not needed for this course)/006 More Functionalities of the Exchange Rates API.mp4
16.6MB
13 - APIs (POST requests are not needed for this course)/007 Coding a Simple Currency Conversion Calculator.mp4
22.44MB
13 - APIs (POST requests are not needed for this course)/008 iTunes API.mp4
39.61MB
13 - APIs (POST requests are not needed for this course)/010 iTunes API Structuring and Exporting the Data.mp4
12.86MB
13 - APIs (POST requests are not needed for this course)/011 Pagination GitHub API.mp4
28.21MB
14 - Data Cleaning and Data Preprocessing/001 Data Cleaning and Data Preprocessing.mp4
16.47MB
15 - pandas Series/001 .unique(), .nunique().mp4
26.29MB
15 - pandas Series/002 Converting Series into Arrays.mp4
19.86MB
15 - pandas Series/003 .sort_values().mp4
13.19MB
15 - pandas Series/004 Attribute and Method Chaining.mp4
14.76MB
15 - pandas Series/005 .sort_index().mp4
15.69MB
16 - pandas DataFrames/001 A Revision to pandas DataFrames.mp4
17.82MB
16 - pandas DataFrames/002 Common Attributes for Working with DataFrames.mp4
29.78MB
16 - pandas DataFrames/003 Data Selection in pandas DataFrames.mp4
37.28MB
16 - pandas DataFrames/004 Data Selection - Indexing with .iloc[].mp4
23.53MB
16 - pandas DataFrames/005 Data Selection - Indexing with .loc[].mp4
21.62MB
16 - pandas DataFrames/006 A Few Comments on Using .loc[] and .iloc[].mp4
76.91MB
17 - NumPy Fundamentals/001 Indexing in NumPy.mp4
14.87MB
17 - NumPy Fundamentals/002 Assigning Values in NumPy.mp4
10.14MB
17 - NumPy Fundamentals/003 Elementwise Properties of Arrays.mp4
14.92MB
17 - NumPy Fundamentals/004 Types of Data Supported by NumPy.mp4
18.13MB
17 - NumPy Fundamentals/005 Characteristics of NumPy Functions Part 1.mp4
23.18MB
17 - NumPy Fundamentals/006 Characteristics of NumPy Functions Part 2.mp4
10.14MB
18 - NumPy DataTypes/001 ndarrays.mp4
29.33MB
18 - NumPy DataTypes/002 Arrays vs Lists.mp4
16.58MB
18 - NumPy DataTypes/003 Strings vs Object vs Number.mp4
24.78MB
19 - Working with Arrays/001 Basic Slicing in NumPy.mp4
26.56MB
19 - Working with Arrays/002 Stepwise Slicing in NumPy.mp4
13.98MB
19 - Working with Arrays/003 Conditional Slicing in NumPy.mp4
16.14MB
19 - Working with Arrays/004 Dimensions and the Squeeze Function.mp4
18.26MB
20 - Generating Data with NumPy/001 Arrays of 0s and 1s.mp4
16.16MB
20 - Generating Data with NumPy/002 _like functions in NumPy.mp4
8.74MB
20 - Generating Data with NumPy/003 A Non-Random Sequence of Numbers.mp4
19.98MB
20 - Generating Data with NumPy/004 Random Generators and Seeds.mp4
19.32MB
20 - Generating Data with NumPy/005 Basic Random Functions in NumPy.mp4
14.84MB
20 - Generating Data with NumPy/006 Probability Distributions in NumPy.mp4
31.54MB
20 - Generating Data with NumPy/007 Applications of Random Data in NumPy.mp4
29.41MB
21 - Statistics with NumPy/001 Using Statistical Functions in NumPy.mp4
21.25MB
21 - Statistics with NumPy/002 Minimal and Maximal Values in NumPy.mp4
19.95MB
21 - Statistics with NumPy/003 Statistical Order Functions in NumPy.mp4
27.37MB
21 - Statistics with NumPy/004 Averages and Variance in NumPy.mp4
14.57MB
21 - Statistics with NumPy/005 Covariance and Correlation in NumPy.mp4
8.74MB
21 - Statistics with NumPy/006 Histograms in NumPy (Part 1).mp4
22.1MB
21 - Statistics with NumPy/007 Histograms in NumPy (Part 2).mp4
11.52MB
21 - Statistics with NumPy/008 NAN Equivalent Functions in NumPy.mp4
16.77MB
22 - NumPy - Preprocessing/001 Checking for Missing Values in Ndarrays.mp4
47.88MB
22 - NumPy - Preprocessing/002 Substituting Missing Values in Ndarrays.mp4
34.32MB
22 - NumPy - Preprocessing/003 Reshaping Ndarrays.mp4
24.59MB
22 - NumPy - Preprocessing/004 Removing Values from Ndarrays.mp4
19.93MB
22 - NumPy - Preprocessing/005 Sorting Ndarrays.mp4
55.27MB
22 - NumPy - Preprocessing/006 Argument Sort in NumPy.mp4
29.52MB
22 - NumPy - Preprocessing/007 Argument Where in NumPy.mp4
51.52MB
22 - NumPy - Preprocessing/008 Shuffling Ndarrays.mp4
32.96MB
22 - NumPy - Preprocessing/009 Casting Ndarrays.mp4
40.24MB
22 - NumPy - Preprocessing/010 Striping Values from Ndarrays.mp4
18.41MB
22 - NumPy - Preprocessing/011 Stacking Ndarrays.mp4
65.14MB
22 - NumPy - Preprocessing/012 Concatenating Ndarrays.mp4
35.68MB
22 - NumPy - Preprocessing/013 Finding Unique Values in Ndarrays.mp4
27.75MB
23 - A Loan Data Example with NumPy/001 Setting Up Introduction to the Practical Example.mp4
20.53MB
23 - A Loan Data Example with NumPy/002 Setting Up Importing the Data Set.mp4
36.9MB
23 - A Loan Data Example with NumPy/003 Setting Up Checking for Incomplete Data.mp4
17.14MB
23 - A Loan Data Example with NumPy/004 Setting Up Splitting the Dataset.mp4
19.76MB
23 - A Loan Data Example with NumPy/005 Setting Up Creating Checkpoints.mp4
11.01MB
23 - A Loan Data Example with NumPy/006 Manipulating Text Data Issue Date.mp4
14.92MB
23 - A Loan Data Example with NumPy/007 Manipulating Text Data Loan Status and Term.mp4
25.16MB
23 - A Loan Data Example with NumPy/008 Manipulating Text Data Grade and Sub Grade.mp4
41.2MB
23 - A Loan Data Example with NumPy/009 Manipulating Text Data Verification Status & URL.mp4
26.67MB
23 - A Loan Data Example with NumPy/010 Manipulating Text Data State Address.mp4
26.23MB
23 - A Loan Data Example with NumPy/011 Manipulating Text Data Converting Strings and Creating a Checkpoint.mp4
8.66MB
23 - A Loan Data Example with NumPy/012 Manipulating Numeric Data Substitute Filler Values.mp4
27.86MB
23 - A Loan Data Example with NumPy/013 Manipulating Numeric Data Currency Change – The Exchange Rate.mp4
18.99MB
23 - A Loan Data Example with NumPy/014 Manipulating Numeric Data Currency Change - From USD to EUR.mp4
31.45MB
23 - A Loan Data Example with NumPy/015 Completing the Dataset.mp4
44.04MB
24 - The Absenteeism Exercise - Introduction/001 An Introduction to the Absenteeism Exercise.mp4
3.65MB
24 - The Absenteeism Exercise - Introduction/002 The Absenteeism Exercise from a Business Perspective.mp4
7.19MB
24 - The Absenteeism Exercise - Introduction/003 The Dataset.mp4
5.66MB
25 - Solution to the Absenteeism Exercise/001 How to Complete the Absenteeism Exercise.mp4
6.23MB
25 - Solution to the Absenteeism Exercise/002 Eyeball Your Data First.mp4
54.25MB
25 - Solution to the Absenteeism Exercise/003 Note Programming vs the Rest of the World.mp4
18.03MB
25 - Solution to the Absenteeism Exercise/004 Using a Statistical Approach to Solve Our Exercise.mp4
9.9MB
25 - Solution to the Absenteeism Exercise/005 Dropping the 'ID' Column.mp4
41.33MB
25 - Solution to the Absenteeism Exercise/006 Analysis of the 'Reason for Absence' Column.mp4
17.18MB
25 - Solution to the Absenteeism Exercise/007 Splitting the Reasons for Absence into Multiple Dummy Variables.mp4
63.76MB
25 - Solution to the Absenteeism Exercise/008 Working with Dummy Variables - A Statistical Perspective.mp4
5.82MB
25 - Solution to the Absenteeism Exercise/009 Grouping the Reason for Absence Columns.mp4
51.32MB
25 - Solution to the Absenteeism Exercise/010 Concatenating Columns in a pandas DataFrame.mp4
19.77MB
25 - Solution to the Absenteeism Exercise/011 Reordering Columns in a DataFrame.mp4
7.2MB
25 - Solution to the Absenteeism Exercise/012 Working on the 'Date' Column.mp4
26.06MB
25 - Solution to the Absenteeism Exercise/013 Extracting the Month Value from the 'Date' Column.mp4
37.05MB
25 - Solution to the Absenteeism Exercise/014 Creating the 'Day of the Week' Column.mp4
23.33MB
25 - Solution to the Absenteeism Exercise/015 Understanding the Meaning of 5 More Columns.mp4
12.25MB
25 - Solution to the Absenteeism Exercise/016 Modifying the 'Education' Column.mp4
19.66MB
25 - Solution to the Absenteeism Exercise/017 Final Remarks on the Absenteeism Exercise.mp4
14.91MB
26 - Data Visualization/001 What Is Data Visualization and Why Is It Important.mp4
13.97MB
26 - Data Visualization/002 Why Learn Data Visualization.mp4
26.44MB
26 - Data Visualization/003 Choosing the Right Visualization – What Are Some Popular Approaches and Framewor.mp4
43.8MB
26 - Data Visualization/004 Introduction into Colors and Color Theory.mp4
56.19MB
26 - Data Visualization/005 Bar Chart - Introduction - General Theory and Getting to Know the Dataset.mp4
10.81MB
26 - Data Visualization/006 Bar Chart - How to Create a Bar Chart Using Python.mp4
31.86MB
26 - Data Visualization/007 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph.mp4
8.2MB
26 - Data Visualization/008 Pie Chart - Introduction - General Theory and Dataset.mp4
22.69MB
26 - Data Visualization/009 Pie Chart - How to Create a Pie Chart Using Python.mp4
16.29MB
26 - Data Visualization/010 Pie Chart – Interpreting the Pie Chart.mp4
9.74MB
26 - Data Visualization/011 Pie Chart - Why You Should Never Create a Pie Graph.mp4
46.37MB
26 - Data Visualization/012 Stacked Area Chart - Introduction - General Theory. Getting to Know the Dataset.mp4
7.61MB
26 - Data Visualization/013 Stacked Area Chart - How to Create a Stacked Area Chart Using Python.mp4
25.04MB
26 - Data Visualization/014 Stacked Area Chart - Interpreting the Stacked Area Graph.mp4
9.6MB
26 - Data Visualization/015 Stacked Area Chart - How to Make a Good Stacked Area Chart.mp4
12.62MB
26 - Data Visualization/016 Line Chart - Introduction - General Theory. Getting to Know the Dataset.mp4
5.05MB
26 - Data Visualization/017 Line Chart - How to Create a Line Chart in Python.mp4
40.29MB
26 - Data Visualization/018 Line Chart - Interpretation.mp4
32.7MB
26 - Data Visualization/019 Line Chart - How to Make a Good Line Chart.mp4
27.18MB
26 - Data Visualization/020 Histogram - Introduction - General Theory. Getting to Know the Dataset.mp4
14.34MB
26 - Data Visualization/021 Histogram - How to Create a Histogram Using Python.mp4
14.59MB
26 - Data Visualization/022 Histogram – Interpreting the Histogram.mp4
4.88MB
26 - Data Visualization/023 Histogram – Choosing the Number of Bins in a Histogram.mp4
21.1MB
26 - Data Visualization/024 Histogram - How to Make a Good Histogram.mp4
21.69MB
26 - Data Visualization/025 Scatter Plot - Introduction - General Theory. Getting to Know the Dataset.mp4
8.74MB
26 - Data Visualization/026 Scatter Plot - How to Create a Scatter Plot Using Python.mp4
29.78MB
26 - Data Visualization/027 Scatter Plot – Interpreting the Scatter Plot.mp4
10.21MB
26 - Data Visualization/028 Scatter Plot - How to Make a Good Scatter Plot.mp4
18.63MB
26 - Data Visualization/029 Regression Plot - Introduction - General Theory. Getting to Know the Dataset.mp4
9.38MB
26 - Data Visualization/030 Regression Plot - How to Create a Regression Scatter Plot Using Python.mp4
21.75MB
26 - Data Visualization/031 Regression Plot – Interpreting the Regression Scatter Plot.mp4
17.43MB
26 - Data Visualization/032 Regression Plot - How to Make a Good Regression Plot.mp4
12.35MB
26 - Data Visualization/033 Bar and Line Chart - Introduction - General Theory. Getting to Know the Dataset.mp4
9.35MB
26 - Data Visualization/034 Bar and Line Chart - How to Create a Combination Bar and Line Graph Using Python.mp4
26.31MB
26 - Data Visualization/035 Bar and Line Chart – Interpreting the Combination Bar and Line Graph.mp4
7.74MB
26 - Data Visualization/036 Bar and Line Chart – How to Make a Good Bar and Line Graph.mp4
16.13MB
27 - Conclusion/001 Conclusion.mp4
16.19MB
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