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Course Overview
Schedule of Classes
Course Curriculum
5 Subjects
Data Analysis and Visualization
211 Learning Materials
Resources
Dates and Times
ZIP
Regular Expressions
ZIP
Intro to Numpy
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Intro to Pandas
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Grouping Operations
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Filtering Operations
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Basics of Visualization
ZIP
Advanced Visualizations
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Animated Visualizations
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Interactive Visualizations
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Miscellaneous Charts
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SuperStore
DOC
Tableau Functions Workbook
ZIP
Dates and Times
Introduction to datetime
External Link
The date and time class
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The datetime class
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The timedelta class
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Quiz on Dates and Times
Quiz Solution on Dates and Times
External Link
Exercise on Date and Time
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Solution on Date and Time
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Regular Expressions
Meta Characters for Regular Expressions
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Built-in Functions for Regular Expressions
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Special Characters for Regular Expressions
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Sets for Regular Expressions
External Link
Quiz on Regular Expressions
Quiz Solution on Regular Expressions
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Exercise on Regular Expressions
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Solution on Regular Expressions
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Introduction to Numpy
Array Creation using Numpy
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Mathematical Operations using Numpy
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Built-in Functions in Numpy
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Quiz on Introduction to Numpy
Quiz Solution on Introduction to Numpy
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Exercise on Built-in Functions in Numpy
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Exercise on Mathematical Operations using Numpy
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Solution on Mathematical Operations using Numpy
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Introduction to Pandas
Reading Datasets using Pandas
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Plotting Data in Pandas
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Indexing, Selecting, and Filtering Data using Pandas
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Merging and Concatenating DataFrames
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Lambda, Map, and Apply Functions
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Quiz on Introduction to Pandas
Quiz Solution on Introduction to Pandas
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Exercise on Pandas Plotting
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Solution on Pandas Plotting
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Exercise on Indexing and Selecting
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Solution on Indexing and Selecting
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Exercise on Merging and Concatenating
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Solution on Merging and Concatenating
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Exercise on Apply Functions
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Solution on Apply Functions
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Introduction to Data Exploration
How EDA can be useful
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Data Profiling
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Analyzing Target Data
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Quiz on Introduction to EDA
Quiz Solution on Introduction to EDA
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Examining Data
Summarizing the Data
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Exploring the Dabl Library
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Exploring the Sweetviz Library
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Using Color Gradients for better analysis
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Best Practices for Data Exploration
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Quiz on Examining Data
Quiz Solution on Examining Data
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Grouping Operations
Aggregate functions used for Grouping
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Using Groupby for Grouping Operations
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Groupby with Idxmax and Idxmin functions
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Using Color scales for better visualization
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Visualizing the Groupby Operations
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Using Pivot Tables for Grouping Operations
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Difference between Groupby and Pivot tables
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Performing Cross Tabulation
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Visualizing Cross tabulated Data
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Interactive Grouping Operations
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Quiz on Grouping Operations
Quiz Solution on Grouping Operations
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Filtering Operations
When to perform Filtering Operations
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Introduction to Simple Filtering Operations
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Advanced Filtering Operations
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Filtering and Grouping Operations
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Interactive Filtering Operations
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Quiz on Filtering Operations
Quiz Solution on Filtering Operations
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Basics of Visualization
Univariate Analysis
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Bivariate Analysis
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Multivariate Analysis
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Quiz on Basics of Visualization
Quiz Solution on Basics of Visualization
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Advanced Visualizations
Scatter Plots
External Link
Charts with Colorscale
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Bar, Line, and Area Charts
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Facet Grids
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Statistical Charts
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Polar Charts
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Subplots
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3D Charts
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Waffle Charts
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Maps
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Quiz on Advanced Visualizations
Quiz Solution on Advanced Visualizations
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Animated Visualizations
Animation with Bubbleplot
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Animation with Facets
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Animation with Scatter Maps
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Animation with Choropleth Maps
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Quiz on Animated Visualizations
Quiz Solution on Animated Visualizations
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Interactive Visualizations
Introduction to Ipywidgets
External Link
Interactive Univariate Analysis
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Interactive Bivariate Analysis
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Interactive Multivariate Analysis
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Quiz on Interactive Visualizations
Quiz Solution on Interactive Visualizations
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Miscellaneous Charts
Sunburst Charts
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Parallel Co-ordinate Charts
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Funnel Charts
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Gantt Charts
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Ternary Charts
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Tree Maps
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Network Charts
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Quiz on Miscellaneous Charts
Quiz Solution on Miscellaneous Charts
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Tableau Functions
Section Overview
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Getting Started with Calculations
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Types of Calculations
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The Number Functions
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The String Functions
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Searching for Text
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Type Conversions
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The Date Functions
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Datetrunc and datepart
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Gantt Charts using Date Functions
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The Logical Functions
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Calculations using Sets
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Aggregate Functions
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Attribute Function
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Quiz on Tableau Functions
Table Calculations
Section Overview
External Link
Table Calculation - Part 1
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Table Calculations - Part 2
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Table Functions
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Window Functions
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Conditional Highlighting using Windows Functions
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Moving Calculations
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Rank Functions
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Running Functions
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Secondary Calculations with Pareto Chart
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Level of Detail (LOD) Expression
Resources - Global Superstore
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Resources LOD Workbook
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Introduction to Level of Details
External Link
FIXED - Level of Detail Expression
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Customer Order Loyalty
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Customer Retention Analysis
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Removing Duplicate Records in Tableau using FIXED
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INCLUDE - Level of Detail Expression
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EXCLUDE - Level of Detail Expression
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Table Scoped Level of Detail Expression
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Nested LOD
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Finding a Dimension at Lower Level
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Sparklines with Min Max Indicator
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Final Words
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Parameters in Tableau
Resources SuperStore
DOC
Resources Parameters Workbook
ZIP
Parameters
External Link
Parameter Basics
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Advanced Parameters Part - 1
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Advanced Parameters Part - 2
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Quiz on Parameters in Tableau
Introduction to Data Preparations
Resources Data Preparation Datasets
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Resources Data Preparation Workbooks
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Managing Metadata and Data Types
External Link
Data Extraction
External Link
Data Preparation and Cleaning
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Wide and Long Formats
External Link
Filtering of Rows using Data Source Filters
External Link
Joins
External Link
Joining Multiple Fields
External Link
Complex Joins
External Link
Why Blending?
External Link
How to do Blending in Tableau?
External Link
Data Blending (Additional)
External Link
Data Union
External Link
Quiz on Data Preparations
Slicing & Dicing Data in Tableau
Resources Slicing & Dicing Datasets
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Resources Slicing & Dicing Workbook
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Sorting
External Link
Hierarchy
External Link
Groups
External Link
Sets
External Link
Data Filters
External Link
Advanced Filtering
External Link
Quiz on Slicing and Dicing Data in Tableau
Tableau Maps
Resources Superstore_dataset
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Beginner Guide to maps
External Link
Background Maps & Layers
External Link
Dual Axis Map
External Link
Geocoded Fields
External Link
Working with Web Map Service (WMS)
External Link
Custom Background Images
External Link
Quiz on Tableau Maps
Resources Tableau Maps Workbook
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Dashboards
Resources shark-data-cleaned
DOC
Resources Dashboards Workbook
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Section Overview
External Link
The Storytelling
External Link
Building Blocks of Dashboard - Part 1
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Building Blocks of Dashboard - Part 2
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Building Blocks of Dashboard - Part 3
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Dashboard
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Containers
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Dashboard Actions
External Link
Quiz on Dashboards
Data Cleaning and Preparation
92 Learning Materials
Resources
Data Cleaning
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Feature Engineering
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Data Pre-Processing
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Dimensionality Reduction
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Missing Values Treatment
Causes and Impact of Missing Values
External Link
Types of Missing Values
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When should we delete the missing values
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Imputing missing values with the business logic
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Imputing missing values with Mean/Median/Mode
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Imputing missing values in a real-time scenario
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Quiz on Missing Values Treatment
Quiz Solution on Missing Values Treatment
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Outliers Treatment
How outliers can be harmful for machine learning models
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Finding out outliers from the data
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Using Winsorization to deal with outliers
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Deleting and Capping the outliers
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Dealing with outliers in a real-world scenario
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Quiz on Outliers Treatment
Quiz Solution on Outliers Treatment
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Data Manipulation Functions
Introduction to reindex, set_index, reset_index, and sort_index Functions
External Link
Introduction to Replace and Droplevel Function
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Introduction to Split and Strip Function
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Introduction to Stack, and Unstack Functions
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Introduction to Melt, Explode, and Squeeze Functions
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Data Cleaning on Real World Datasets
Data Cleaning on Big Mart Dataset
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Data Cleaning on Movie Dataset
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Data Cleaning on Melbourne Housing Dataset
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Data Cleaning on Naukri Dataset
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Introduction to Feature Engineering
Introduction to Feature Engineering
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Removing Unnecessary Columns
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Decomposing Time and Date Features
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Decomposing Categorical Features
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Binning Numerical Features
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Aggregating features
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Quiz on Feature Engineering
Quiz Solution on Feature Engineering
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Feature Engineering on the Text Data
Introduction to Feature Engineering on Text Data
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Reading and Summarizing the Text Data
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Finding the Length, Polarity and Subjectivity
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Finding the Words, Characters, and Punctuation Count
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Counting Nouns and Verbs in the Text
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Counting Adjectives, Adverb, and Pronouns
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Quiz on Feature Engineering on the Text Data
Quiz Solution on Feature Engineering on the Text Data
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Feature Engineering Functions
Introduction to Assign and Update Functions
External Link
Introduction to at_time and between_time Functions
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Introduction to nlargest and nsmallest Functions
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Introduction to Expanding Function
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Introduction to Cumulative Functions
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Feature Engineering on Real World Datasets
Feature Engineering on Employee Data
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Feature Engineering on FIFA Data
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Feature Engineering on Hotel Reviews
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Feature Engineering on Marketing Data
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Feature Engineering on Titanic Data
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Dealing with Categorical data
Types of Encoding Techniques
External Link
Label Encoding
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Feature Mapping for Ordinal Variables
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OneHot Encoding
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Binary and BaseN Encoding
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Mean and Frequency Encoding
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Quiz on Dealing with Categorical data
Quiz Solution on Dealing with Categorical data
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Data Transformation
Introduction to Skewness and Normal Distribution
External Link
Square and Cube Root Transformation
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Log transformation
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Box Cox transformation
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Quiz on Data Transformation
Quiz Solution on Data Transformation
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Data Splitting and Feature Scaling
Train,Test and Validation Split
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Standardization and Normalization
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Quiz on Data Splitting and Feature Scaling
Quiz Solution on Data Splitting and Feature Scaling
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Introduction to Dimensionality Reduction
Why High Dimensional Datasets are a Problem
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Methods to solve the problem of High Dimensionality
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Solving a Real World Problem
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Quiz on Introduction
Correlation Filtering
Introduction to Correlation using Heatmap
External Link
Removing Highly Correlated Columns using Correlation
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Quiz on Correlation Filtering
Feature Selection
Introduction to Recursive Feature Selection
External Link
Implementing Recursive Feature Selection
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Implementing the Boruta Algorithm
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Implementing the Boruta Algorithm
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Quiz on Feature Selection
Machine Learning
Introduction to Principal Component Analysis
External Link
Implementing PCA
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Introduction to t-SNE
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Implementing t-SNE
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Introduction to Linear Discriminant Analysis
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Implementing LDA
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Difference between PCA, t-SNE, and LDA
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Quiz on Machine Learning
Introduction to ML
51 Learning Materials
Introduction to Machine Learning
How Industries are using Machine learning
External Link
Supervised Vs Unsupervised Techniques
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Classification Vs Regression
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Quiz on Introduction to Machine Learning
Quiz Solution on Introduction to Machine Learning
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Modelling with Linear Regression
Introduction to Linear Regression
External Link
Implementing Linear Regression using sklearn
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Feature Selection using RFECV
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Data Transformation with Linear Regression
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Applying Cross Validation
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Analyzing the performance of Regression models
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R2 score and adjusted R2 score intuition
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MAE, RMSE, R2 and Adjusted R2 in code
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Applying real time prediction on our model
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Industry relevance of linear regression
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Quiz on Modelling with Linear Regression
Quiz Solution on Modelling with Linear Regression
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Linear Regression – Materials
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Regularization Techniques
What is Regularizationa and why is it important?
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Getting the intuition of Lasso, Ridge and Elastic Net
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Understanding when to apply Lasso, Ridge and Elastic Net
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Applying Lasso, Ridge and Elastic Net in sklearn
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Quiz on Regularization Techniques
Resources - Regularization Techniques
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Quiz Solution on Regularization Techniques
External Link
Modelling with Logistic Regression
Introduction to Logistic Regression
External Link
Implementing Logistic Regression using sklearn
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Feature selection using RFECV
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Hyperparameter tuning using Grid search
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Applying Cross validation
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How to analyze performance of a classification model
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Using accuracy score to analyze the performance of model
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Using ROC-AUC score to analyze the performance of model
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Introduction to Clustering Analysis
Resources
ZIP
Introduction to Clustering
External Link
Types of Clustering
External Link
Applications of Clustering
External Link
Quiz on Introduction to Clustering
K Means Clustering
Using the Elbow method for choosing the best value of K
External Link
Introduction to K-Means clustering
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Solving a Real World Problem
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Implementing K Means on the Mall Dataset
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Using Silhouette Score to analyze the clusters
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Clustering Multiple Dimensions
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Quiz on K Means Clustering
Advanced Clustering Techniques
Introduction to Hierarchal Clustering
External Link
Introduction to Dendrograms
External Link
Implementing Hierarchical Clustering
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Introduction to DBSCAN Clustering
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Implementing DBSCAN Clustering
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Quiz on Advanced Clustering Techniques
Tableau & Data Visualization Bootcamp
43 Learning Materials
Creating your First Tableau Dashboard
Getting Started with Tableau
External Link
Navigating Tableau
External Link
Creating Your First Visualization
External Link
Building Your First Dashboard
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Building Blocks of Data Visualization
Introduction
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Dimensions and Measures
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Green & Blue Pills
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Measures Names & Values
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Working with Time Series Data
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Aggregation and Granularity
External Link
Aggregation Options
External Link
Show Me Toolbar
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Marks cards & Level of Detail
External Link
Custom Shapes
External Link
Filtering Data
External Link
Pages Shelf
External Link
Tableau Basic Visualization
Highlight Table
External Link
Highlight Table Bar Charts & Sorting
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Bar-in-Bar
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Histogram
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Pie Charts
External Link
Pie Chart Exercise Solution
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Tree Map
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Bubble Chart
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Line Charts
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Area Chart
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Heat Map
External Link
Formatting in Tableau
Overview
External Link
Theme & Workbook Level Formatting
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Axis Lines and Formatting
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Parts of the View
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Formatting Pane - Part 1
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Formatting Pane - Part 2 (Fonts, Alignment & Shading)
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Formatting Pane - Part 3 (Borders & Lines)
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Number Format
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Titles & Captions
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Mark Labels
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Styling and Customising a Tooltip
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Visualization in Tooltip
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Editing Axis
External Link
Annotating the Viz
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Section Exercise - Data Ink Ratio
External Link
Section Exercise Solution - Data Ink Ratio
External Link
Tableau Visualizations
32 Learning Materials
Data Preparations
Managing Metadata and Data Types
External Link
Data Extraction
External Link
Data Preparation and Cleaning
External Link
Wide and Long Formats
External Link
Filtering of Rows using Data Source Filters
External Link
Joins
External Link
Joining Multiple Fields
External Link
Complex Joins
External Link
Why Blending?
External Link
How to do Blending in Tableau?
External Link
Data Blending (Additional)
External Link
Data Union
External Link
Slicing & Dicing Data in Tableau
Sorting
External Link
Hierarchy
External Link
Groups
External Link
Sets
External Link
Data Filters
External Link
Advanced Filtering
External Link
Tableau Maps
Beginner Guide to maps
External Link
Background Maps & Layers
External Link
Dual Axis Map
External Link
Geocoded Fields
External Link
Working with Web Map Service (WMS)
External Link
Custom Background Images
External Link
Dashboards
Section Overview
External Link
The Storytelling
External Link
Building Blocks of Dashboard - Part 1
External Link
Building Blocks of Dashboard - Part 2
External Link
Building Blocks of Dashboard - Part 3
External Link
Dashboard
External Link
Containers
External Link
Dashboard Actions
External Link
Course Instructor
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242 Courses • 4623 Students
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