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[GigaCourse.Com] Udemy - The Data Analyst Course Complete Data Analyst Bootcamp 2022
magnet:?xt=urn:btih:8403cc10096e4601ff575cff6a4c2cb961dac6f0&dn=[GigaCourse.Com] Udemy - The Data Analyst Course Complete Data Analyst Bootcamp 2022
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Hash值:
8403cc10096e4601ff575cff6a4c2cb961dac6f0
点击数:
105
文件大小:
5.1 GB
文件数量:
259
创建日期:
2022-12-27 12:10
最后访问:
2024-7-29 11:53
访问标签:
GigaCourse
Com
Udemy
-
The
Data
Analyst
Course
Complete
Data
Analyst
Bootcamp
2022
文件列表详情
01 - Introduction to the Course/001 A Practical Example - What Will You Learn in This Course.mp4 58.11 MB
01 - Introduction to the Course/002 What Does the Course Cover.mp4 60.77 MB
02 - Introduction to Data Analytics/001 Introduction to the World of Business and Data.mp4 10.4 MB
02 - Introduction to Data Analytics/002 Relevant Terms Explained.mp4 17.13 MB
02 - Introduction to Data Analytics/003 Data Analyst Compared to Other Data Jobs.mp4 8.21 MB
02 - Introduction to Data Analytics/004 Data Analyst Job Description.mp4 19.93 MB
02 - Introduction to Data Analytics/005 Why Python.mp4 15.1 MB
03 - Setting up the Environment/001 Introduction.mp4 13.81 MB
03 - Setting up the Environment/002 Programming Explained in a Few Minutes.mp4 14.34 MB
03 - Setting up the Environment/003 Jupyter - Introduction.mp4 8.2 MB
03 - Setting up the Environment/004 Jupyter - Installing Anaconda.mp4 21.46 MB
03 - Setting up the Environment/005 Jupyter - Intro to Using Jupyter.mp4 5.88 MB
03 - Setting up the Environment/006 Jupyter - Working with Notebook Files.mp4 18.63 MB
03 - Setting up the Environment/007 Jupyter - Using Shortcuts.mp4 6.67 MB
03 - Setting up the Environment/008 Jupyter - Handling Error Messages.mp4 13.26 MB
03 - Setting up the Environment/009 Jupyter - Restarting the Kernel.mp4 4.71 MB
04 - Python Basics/001 Python Variables.mp4 14.08 MB
04 - Python Basics/002 Types of Data - Numbers and Boolean Values.mp4 13.7 MB
04 - Python Basics/003 Types of Data - Strings.mp4 19.73 MB
04 - Python Basics/004 Basic Python Syntax - Arithmetic Operators.mp4 7.29 MB
04 - Python Basics/005 Basic Python Syntax - The Double Equality Sign.mp4 2.72 MB
04 - Python Basics/006 Basic Python Syntax - Reassign Values.mp4 1.87 MB
04 - Python Basics/007 Basic Python Syntax - Add Comments.mp4 2.41 MB
04 - Python Basics/008 Basic Python Syntax - Line Continuation.mp4 1.2 MB
04 - Python Basics/009 Basic Python Syntax - Indexing Elements.mp4 2.37 MB
04 - Python Basics/010 Basic Python Syntax - Indentation.mp4 2.8 MB
04 - Python Basics/011 Operators - Comparison Operators.mp4 4.16 MB
04 - Python Basics/012 Operators - Logical and Identity Operators.mp4 15.05 MB
04 - Python Basics/013 Conditional Statements - The IF Statement.mp4 5.33 MB
04 - Python Basics/014 Conditional Statements - The ELSE Statement.mp4 5.25 MB
04 - Python Basics/015 Conditional Statements - The ELIF Statement.mp4 14.25 MB
04 - Python Basics/016 Conditional Statements - A Note on Boolean Values.mp4 4.25 MB
04 - Python Basics/017 Functions - Defining a Function in Python.mp4 3.23 MB
04 - Python Basics/018 Functions - Creating a Function with a Parameter.mp4 10 MB
04 - Python Basics/019 Functions - Another Way to Define a Function.mp4 6.46 MB
04 - Python Basics/020 Functions - Using a Function in Another Function.mp4 3.24 MB
04 - Python Basics/021 Functions - Combining Conditional Statements and Functions.mp4 6.1 MB
04 - Python Basics/022 Functions - Creating Functions That Contain a Few Arguments.mp4 2.82 MB
04 - Python Basics/023 Functions - Notable Built-in Functions in Python.mp4 8.5 MB
04 - Python Basics/024 Sequences - Lists.mp4 9.53 MB
04 - Python Basics/025 Sequences - Using Methods.mp4 7.93 MB
04 - Python Basics/026 Sequences - List Slicing.mp4 19.19 MB
04 - Python Basics/027 Sequences - Tuples.mp4 7.41 MB
04 - Python Basics/028 Sequences - Dictionaries.mp4 10.14 MB
04 - Python Basics/029 Iteration - For Loops.mp4 5.51 MB
04 - Python Basics/030 Iteration - While Loops and Incrementing.mp4 9.15 MB
04 - Python Basics/031 Iteration - Create Lists with the range() Function.mp4 7.25 MB
04 - Python Basics/032 Iteration - Use Conditional Statements and Loops Together.mp4 7.13 MB
04 - Python Basics/033 Iteration - Conditional Statements, Functions, and Loops.mp4 4.27 MB
04 - Python Basics/034 Iteration - Iterating over Dictionaries.mp4 6.54 MB
05 - Fundamentals for Coding in Python/001 Object-Oriented Programming (OOP).mp4 8.43 MB
05 - Fundamentals for Coding in Python/002 Modules, Packages, and the Python Standard Library.mp4 13.61 MB
05 - Fundamentals for Coding in Python/003 Importing Modules.mp4 7.41 MB
05 - Fundamentals for Coding in Python/004 Introduction to Using NumPy and pandas.mp4 31.9 MB
05 - Fundamentals for Coding in Python/005 What is Software Documentation.mp4 13.4 MB
05 - Fundamentals for Coding in Python/006 The Python Documentation.mp4 43.94 MB
06 - Mathematics for Python/002 Scalars and Vectors.mp4 8.39 MB
06 - Mathematics for Python/003 Linear Algebra and Geometry.mp4 13.56 MB
06 - Mathematics for Python/004 Arrays in Python.mp4 19 MB
06 - Mathematics for Python/005 What Is a Tensor.mp4 11.62 MB
06 - Mathematics for Python/006 Adding and Subtracting Matrices.mp4 22.1 MB
06 - Mathematics for Python/007 Errors When Adding Matrices.mp4 5.76 MB
06 - Mathematics for Python/008 Transpose.mp4 20.5 MB
06 - Mathematics for Python/009 Dot Product of Vectors.mp4 11.36 MB
06 - Mathematics for Python/010 Dot Product of Matrices.mp4 26.42 MB
06 - Mathematics for Python/011 Why is Linear Algebra Useful.mp4 86.22 MB
07 - NumPy Basics/001 The NumPy Package and Why We Use It.mp4 13.03 MB
07 - NumPy Basics/002 InstallingUpgrading NumPy.mp4 3.92 MB
07 - NumPy Basics/003 Ndarray.mp4 7.64 MB
07 - NumPy Basics/004 The NumPy Documentation.mp4 15.82 MB
08 - Pandas - Basics/001 Introduction to the pandas Library.mp4 14.22 MB
08 - Pandas - Basics/002 Installing and Running pandas.mp4 37.73 MB
08 - Pandas - Basics/003 Introduction to pandas Series.mp4 24.62 MB
08 - Pandas - Basics/004 Working with Attributes in Python.mp4 26.84 MB
08 - Pandas - Basics/005 Using an Index in pandas.mp4 15.73 MB
08 - Pandas - Basics/006 Label-based vs Position-based Indexing.mp4 24.52 MB
08 - Pandas - Basics/007 More on Working with Indices in Python.mp4 33.21 MB
08 - Pandas - Basics/008 Using Methods in Python - Part I.mp4 17.04 MB
08 - Pandas - Basics/009 Using Methods in Python - Part II.mp4 9.18 MB
08 - Pandas - Basics/010 Parameters vs Arguments.mp4 16.78 MB
08 - Pandas - Basics/011 the pandas Documentation.mp4 52.02 MB
08 - Pandas - Basics/012 Introduction to pandas DataFrames.mp4 11.71 MB
08 - Pandas - Basics/013 Creating DataFrames from Scratch - Part I.mp4 26.06 MB
08 - Pandas - Basics/014 Creating DataFrames from Scratch - Part II.mp4 29.79 MB
08 - Pandas - Basics/015 Additional Notes on Using DataFrames.mp4 12.41 MB
09 - Working with Text Files/001 Working with Files in Python - An Introduction.mp4 11.73 MB
09 - Working with Text Files/002 File vs File Object, Read vs Parse.mp4 9.23 MB
09 - Working with Text Files/003 Structured vs Semi-Structured and Unstructured Data.mp4 10.85 MB
09 - Working with Text Files/004 Data Connectivity through Text Files.mp4 10.57 MB
09 - Working with Text Files/005 Principles of Importing Data in Python.mp4 16.45 MB
09 - Working with Text Files/006 More on Text Files (.txt vs .csv).mp4 12.82 MB
09 - Working with Text Files/007 Fixed-width Files.mp4 4.73 MB
09 - Working with Text Files/008 Common Naming Conventions Used in Programming.mp4 8.22 MB
09 - Working with Text Files/009 Importing Text Files in Python ( open() ).mp4 24.83 MB
09 - Working with Text Files/010 Importing Text Files in Python ( with open() ).mp4 26.29 MB
09 - Working with Text Files/011 Importing .csv Files with pandas - Part I.mp4 49.84 MB
09 - Working with Text Files/012 Importing .csv Files with pandas - Part II.mp4 10.91 MB
09 - Working with Text Files/013 Importing .csv Files with pandas - Part III.mp4 75.11 MB
09 - Working with Text Files/014 Importing Data with the index_col Parameter.mp4 11.65 MB
09 - Working with Text Files/015 Importing Data with NumPy - .loadtxt() vs genfromtxt().mp4 56.48 MB
09 - Working with Text Files/016 Importing Data with NumPy - Partial Cleaning While Importing.mp4 30.51 MB
09 - Working with Text Files/018 Importing .json Files.mp4 48.53 MB
09 - Working with Text Files/019 Prelude to Working with Excel Files in Python.mp4 43.03 MB
09 - Working with Text Files/020 Working with Excel Data (the .xlsx Format).mp4 11.55 MB
09 - Working with Text Files/021 An Important Exercise on Importing Data in Python.mp4 42.97 MB
09 - Working with Text Files/022 Importing Data with the pandas' Squeeze Parameter.mp4 11.58 MB
09 - Working with Text Files/023 A Note on Importing Files in Jupyter.mp4 19.68 MB
09 - Working with Text Files/024 Saving Your Data with pandas.mp4 27.68 MB
09 - Working with Text Files/025 Saving Your Data with NumPy - np.save().mp4 18.93 MB
09 - Working with Text Files/026 Saving Your Data with NumPy - np.savez().mp4 15.41 MB
09 - Working with Text Files/027 Saving Your Data with NumPy - np.savetxt().mp4 20.84 MB
09 - Working with Text Files/029 Working with Text Files - Conclusion.mp4 2.06 MB
10 - Working with Text Data/001 Working with Text Data and Argument Specifiers.mp4 21.35 MB
10 - Working with Text Data/002 Manipulating Python Strings.mp4 12.29 MB
10 - Working with Text Data/003 Using Various Python String Methods - Part I.mp4 23.59 MB
10 - Working with Text Data/004 Using Various Python String Methods - Part II.mp4 20.37 MB
10 - Working with Text Data/005 String Accessors.mp4 30.62 MB
10 - Working with Text Data/006 Using the .format() Method.mp4 21.66 MB
11 - Must-Know Python Tools/001 Iterating Over Range Objects.mp4 11.06 MB
11 - Must-Know Python Tools/002 Nested For Loops - Introduction.mp4 12.21 MB
11 - Must-Know Python Tools/003 Triple Nested For Loops.mp4 19.41 MB
11 - Must-Know Python Tools/004 List Comprehensions.mp4 43.2 MB
11 - Must-Know Python Tools/005 Anonymous (Lambda) Functions.mp4 33.7 MB
12 - Data GatheringData Collection/001 What is data gatheringdata collection.mp4 19.17 MB
13 - APIs (POST requests are not needed for this course)/001 Overview of APIs.mp4 10.4 MB
13 - APIs (POST requests are not needed for this course)/002 GET and POST Requests.mp4 6.27 MB
13 - APIs (POST requests are not needed for this course)/003 Data Exchange Format for APIs JSON.mp4 5.7 MB
13 - APIs (POST requests are not needed for this course)/004 Introducing the Exchange Rates API.mp4 25.19 MB
13 - APIs (POST requests are not needed for this course)/005 Including Parameters in a GET Request.mp4 10.8 MB
13 - APIs (POST requests are not needed for this course)/006 More Functionalities of the Exchange Rates API.mp4 16.6 MB
13 - APIs (POST requests are not needed for this course)/007 Coding a Simple Currency Conversion Calculator.mp4 22.44 MB
13 - APIs (POST requests are not needed for this course)/008 iTunes API.mp4 39.61 MB
13 - APIs (POST requests are not needed for this course)/010 iTunes API Structuring and Exporting the Data.mp4 12.86 MB
13 - APIs (POST requests are not needed for this course)/011 Pagination GitHub API.mp4 28.21 MB
14 - Data Cleaning and Data Preprocessing/001 Data Cleaning and Data Preprocessing.mp4 16.47 MB
15 - pandas Series/001 .unique(), .nunique().mp4 26.29 MB
15 - pandas Series/002 Converting Series into Arrays.mp4 19.86 MB
15 - pandas Series/003 .sort_values().mp4 13.19 MB
15 - pandas Series/004 Attribute and Method Chaining.mp4 14.76 MB
15 - pandas Series/005 .sort_index().mp4 15.69 MB
16 - pandas DataFrames/001 A Revision to pandas DataFrames.mp4 17.82 MB
16 - pandas DataFrames/002 Common Attributes for Working with DataFrames.mp4 29.78 MB
16 - pandas DataFrames/003 Data Selection in pandas DataFrames.mp4 37.28 MB
16 - pandas DataFrames/004 Data Selection - Indexing with .iloc[].mp4 23.53 MB
16 - pandas DataFrames/005 Data Selection - Indexing with .loc[].mp4 21.62 MB
16 - pandas DataFrames/006 A Few Comments on Using .loc[] and .iloc[].mp4 76.91 MB
17 - NumPy Fundamentals/001 Indexing in NumPy.mp4 14.87 MB
17 - NumPy Fundamentals/002 Assigning Values in NumPy.mp4 10.14 MB
17 - NumPy Fundamentals/003 Elementwise Properties of Arrays.mp4 14.92 MB
17 - NumPy Fundamentals/004 Types of Data Supported by NumPy.mp4 18.13 MB
17 - NumPy Fundamentals/005 Characteristics of NumPy Functions Part 1.mp4 23.18 MB
17 - NumPy Fundamentals/006 Characteristics of NumPy Functions Part 2.mp4 10.14 MB
18 - NumPy DataTypes/001 ndarrays.mp4 29.33 MB
18 - NumPy DataTypes/002 Arrays vs Lists.mp4 16.58 MB
18 - NumPy DataTypes/003 Strings vs Object vs Number.mp4 24.78 MB
19 - Working with Arrays/001 Basic Slicing in NumPy.mp4 26.56 MB
19 - Working with Arrays/002 Stepwise Slicing in NumPy.mp4 13.98 MB
19 - Working with Arrays/003 Conditional Slicing in NumPy.mp4 16.14 MB
19 - Working with Arrays/004 Dimensions and the Squeeze Function.mp4 18.26 MB
20 - Generating Data with NumPy/001 Arrays of 0s and 1s.mp4 16.16 MB
20 - Generating Data with NumPy/002 _like functions in NumPy.mp4 8.74 MB
20 - Generating Data with NumPy/003 A Non-Random Sequence of Numbers.mp4 19.98 MB
20 - Generating Data with NumPy/004 Random Generators and Seeds.mp4 19.32 MB
20 - Generating Data with NumPy/005 Basic Random Functions in NumPy.mp4 14.84 MB
20 - Generating Data with NumPy/006 Probability Distributions in NumPy.mp4 31.54 MB
20 - Generating Data with NumPy/007 Applications of Random Data in NumPy.mp4 29.41 MB
21 - Statistics with NumPy/001 Using Statistical Functions in NumPy.mp4 21.25 MB
21 - Statistics with NumPy/002 Minimal and Maximal Values in NumPy.mp4 19.95 MB
21 - Statistics with NumPy/003 Statistical Order Functions in NumPy.mp4 27.37 MB
21 - Statistics with NumPy/004 Averages and Variance in NumPy.mp4 14.57 MB
21 - Statistics with NumPy/005 Covariance and Correlation in NumPy.mp4 8.74 MB
21 - Statistics with NumPy/006 Histograms in NumPy (Part 1).mp4 22.1 MB
21 - Statistics with NumPy/007 Histograms in NumPy (Part 2).mp4 11.52 MB
21 - Statistics with NumPy/008 NAN Equivalent Functions in NumPy.mp4 16.77 MB
22 - NumPy - Preprocessing/001 Checking for Missing Values in Ndarrays.mp4 47.88 MB
22 - NumPy - Preprocessing/002 Substituting Missing Values in Ndarrays.mp4 34.32 MB
22 - NumPy - Preprocessing/003 Reshaping Ndarrays.mp4 24.59 MB
22 - NumPy - Preprocessing/004 Removing Values from Ndarrays.mp4 19.93 MB
22 - NumPy - Preprocessing/005 Sorting Ndarrays.mp4 55.27 MB
22 - NumPy - Preprocessing/006 Argument Sort in NumPy.mp4 29.52 MB
22 - NumPy - Preprocessing/007 Argument Where in NumPy.mp4 51.52 MB
22 - NumPy - Preprocessing/008 Shuffling Ndarrays.mp4 32.96 MB
22 - NumPy - Preprocessing/009 Casting Ndarrays.mp4 40.24 MB
22 - NumPy - Preprocessing/010 Striping Values from Ndarrays.mp4 18.41 MB
22 - NumPy - Preprocessing/011 Stacking Ndarrays.mp4 65.14 MB
22 - NumPy - Preprocessing/012 Concatenating Ndarrays.mp4 35.68 MB
22 - NumPy - Preprocessing/013 Finding Unique Values in Ndarrays.mp4 27.75 MB
23 - A Loan Data Example with NumPy/001 Setting Up Introduction to the Practical Example.mp4 20.53 MB
23 - A Loan Data Example with NumPy/002 Setting Up Importing the Data Set.mp4 36.9 MB
23 - A Loan Data Example with NumPy/003 Setting Up Checking for Incomplete Data.mp4 17.14 MB
23 - A Loan Data Example with NumPy/004 Setting Up Splitting the Dataset.mp4 19.76 MB
23 - A Loan Data Example with NumPy/005 Setting Up Creating Checkpoints.mp4 11.01 MB
23 - A Loan Data Example with NumPy/006 Manipulating Text Data Issue Date.mp4 14.92 MB
23 - A Loan Data Example with NumPy/007 Manipulating Text Data Loan Status and Term.mp4 25.16 MB
23 - A Loan Data Example with NumPy/008 Manipulating Text Data Grade and Sub Grade.mp4 41.2 MB
23 - A Loan Data Example with NumPy/009 Manipulating Text Data Verification Status & URL.mp4 26.67 MB
23 - A Loan Data Example with NumPy/010 Manipulating Text Data State Address.mp4 26.23 MB
23 - A Loan Data Example with NumPy/011 Manipulating Text Data Converting Strings and Creating a Checkpoint.mp4 8.66 MB
23 - A Loan Data Example with NumPy/012 Manipulating Numeric Data Substitute Filler Values.mp4 27.86 MB
23 - A Loan Data Example with NumPy/013 Manipulating Numeric Data Currency Change – The Exchange Rate.mp4 18.99 MB
23 - A Loan Data Example with NumPy/014 Manipulating Numeric Data Currency Change - From USD to EUR.mp4 31.45 MB
23 - A Loan Data Example with NumPy/015 Completing the Dataset.mp4 44.04 MB
24 - The Absenteeism Exercise - Introduction/001 An Introduction to the Absenteeism Exercise.mp4 3.65 MB
24 - The Absenteeism Exercise - Introduction/002 The Absenteeism Exercise from a Business Perspective.mp4 7.19 MB
24 - The Absenteeism Exercise - Introduction/003 The Dataset.mp4 5.66 MB
25 - Solution to the Absenteeism Exercise/001 How to Complete the Absenteeism Exercise.mp4 6.23 MB
25 - Solution to the Absenteeism Exercise/002 Eyeball Your Data First.mp4 54.25 MB
25 - Solution to the Absenteeism Exercise/003 Note Programming vs the Rest of the World.mp4 18.03 MB
25 - Solution to the Absenteeism Exercise/004 Using a Statistical Approach to Solve Our Exercise.mp4 9.9 MB
25 - Solution to the Absenteeism Exercise/005 Dropping the 'ID' Column.mp4 41.33 MB
25 - Solution to the Absenteeism Exercise/006 Analysis of the 'Reason for Absence' Column.mp4 17.18 MB
25 - Solution to the Absenteeism Exercise/007 Splitting the Reasons for Absence into Multiple Dummy Variables.mp4 63.76 MB
25 - Solution to the Absenteeism Exercise/008 Working with Dummy Variables - A Statistical Perspective.mp4 5.82 MB
25 - Solution to the Absenteeism Exercise/009 Grouping the Reason for Absence Columns.mp4 51.32 MB
25 - Solution to the Absenteeism Exercise/010 Concatenating Columns in a pandas DataFrame.mp4 19.77 MB
25 - Solution to the Absenteeism Exercise/011 Reordering Columns in a DataFrame.mp4 7.2 MB
25 - Solution to the Absenteeism Exercise/012 Working on the 'Date' Column.mp4 26.06 MB
25 - Solution to the Absenteeism Exercise/013 Extracting the Month Value from the 'Date' Column.mp4 37.05 MB
25 - Solution to the Absenteeism Exercise/014 Creating the 'Day of the Week' Column.mp4 23.33 MB
25 - Solution to the Absenteeism Exercise/015 Understanding the Meaning of 5 More Columns.mp4 12.25 MB
25 - Solution to the Absenteeism Exercise/016 Modifying the 'Education' Column.mp4 19.66 MB
25 - Solution to the Absenteeism Exercise/017 Final Remarks on the Absenteeism Exercise.mp4 14.91 MB
26 - Data Visualization/001 What Is Data Visualization and Why Is It Important.mp4 13.97 MB
26 - Data Visualization/002 Why Learn Data Visualization.mp4 26.44 MB
26 - Data Visualization/003 Choosing the Right Visualization – What Are Some Popular Approaches and Framewor.mp4 43.8 MB
26 - Data Visualization/004 Introduction into Colors and Color Theory.mp4 56.19 MB
26 - Data Visualization/005 Bar Chart - Introduction - General Theory and Getting to Know the Dataset.mp4 10.81 MB
26 - Data Visualization/006 Bar Chart - How to Create a Bar Chart Using Python.mp4 31.86 MB
26 - Data Visualization/007 Bar Chart – Interpreting the Bar Graph. How to Make a Good Bar Graph.mp4 8.2 MB
26 - Data Visualization/008 Pie Chart - Introduction - General Theory and Dataset.mp4 22.69 MB
26 - Data Visualization/009 Pie Chart - How to Create a Pie Chart Using Python.mp4 16.29 MB
26 - Data Visualization/010 Pie Chart – Interpreting the Pie Chart.mp4 9.74 MB
26 - Data Visualization/011 Pie Chart - Why You Should Never Create a Pie Graph.mp4 46.37 MB
26 - Data Visualization/012 Stacked Area Chart - Introduction - General Theory. Getting to Know the Dataset.mp4 7.61 MB
26 - Data Visualization/013 Stacked Area Chart - How to Create a Stacked Area Chart Using Python.mp4 25.04 MB
26 - Data Visualization/014 Stacked Area Chart - Interpreting the Stacked Area Graph.mp4 9.6 MB
26 - Data Visualization/015 Stacked Area Chart - How to Make a Good Stacked Area Chart.mp4 12.62 MB
26 - Data Visualization/016 Line Chart - Introduction - General Theory. Getting to Know the Dataset.mp4 5.05 MB
26 - Data Visualization/017 Line Chart - How to Create a Line Chart in Python.mp4 40.29 MB
26 - Data Visualization/018 Line Chart - Interpretation.mp4 32.7 MB
26 - Data Visualization/019 Line Chart - How to Make a Good Line Chart.mp4 27.18 MB
26 - Data Visualization/020 Histogram - Introduction - General Theory. Getting to Know the Dataset.mp4 14.34 MB
26 - Data Visualization/021 Histogram - How to Create a Histogram Using Python.mp4 14.59 MB
26 - Data Visualization/022 Histogram – Interpreting the Histogram.mp4 4.88 MB
26 - Data Visualization/023 Histogram – Choosing the Number of Bins in a Histogram.mp4 21.1 MB
26 - Data Visualization/024 Histogram - How to Make a Good Histogram.mp4 21.69 MB
26 - Data Visualization/025 Scatter Plot - Introduction - General Theory. Getting to Know the Dataset.mp4 8.74 MB
26 - Data Visualization/026 Scatter Plot - How to Create a Scatter Plot Using Python.mp4 29.78 MB
26 - Data Visualization/027 Scatter Plot – Interpreting the Scatter Plot.mp4 10.21 MB
26 - Data Visualization/028 Scatter Plot - How to Make a Good Scatter Plot.mp4 18.63 MB
26 - Data Visualization/029 Regression Plot - Introduction - General Theory. Getting to Know the Dataset.mp4 9.38 MB
26 - Data Visualization/030 Regression Plot - How to Create a Regression Scatter Plot Using Python.mp4 21.75 MB
26 - Data Visualization/031 Regression Plot – Interpreting the Regression Scatter Plot.mp4 17.43 MB
26 - Data Visualization/032 Regression Plot - How to Make a Good Regression Plot.mp4 12.35 MB
26 - Data Visualization/033 Bar and Line Chart - Introduction - General Theory. Getting to Know the Dataset.mp4 9.35 MB
26 - Data Visualization/034 Bar and Line Chart - How to Create a Combination Bar and Line Graph Using Python.mp4 26.31 MB
26 - Data Visualization/035 Bar and Line Chart – Interpreting the Combination Bar and Line Graph.mp4 7.74 MB
26 - Data Visualization/036 Bar and Line Chart – How to Make a Good Bar and Line Graph.mp4 16.13 MB
27 - Conclusion/001 Conclusion.mp4 16.19 MB
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