Data Analysis with Tableau
- Offered byCoursera
Data Analysis with Tableau at Coursera Overview
Duration | 25 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course |
Credential | Certificate |
Data Analysis with Tableau at Coursera Highlights
- Earn a certificate from Tableau Learning Partner
- Add to your LinkedIn profile
Data Analysis with Tableau at Coursera Course details
- What you'll learn
- Apply Tableau techniques to manipulate and prepare data for analysis.
- Perform exploratory data analysis using Tableau and report insights using descriptive statistics and visualizations.
- Identify the benefits of the analytics feature in Tableau by utilizing this tool versus manually calculating the analytics.
- The Data Analysis with Tableau Course will teach you how to manipulate and prepare data for analysis and reporting. You will also learn how to use the analytics features in Tableau to more effectively calculate analytics versus manual calculations. In this course, you will perform exploratory data analysis as well as create reports using descriptive statistics and visualizations.
- This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as business intelligence analyst or data reporting analyst roles. It is recommended (but not required) that you have some experience with Tableau Public, but even if you're new to Tableau Public, you can still be successful in this program.
- By the end of the course, you will be able to:
- -Apply Tableau Public techniques to manipulate and prepare data for analysis.
- -Perform exploratory data analysis using Tableau and report insights using descriptive statistics and visualizations.
- -Identify the benefits of the analytics feature in Tableau by utilizing this tool versus manually calculating the analytics.
Data Analysis with Tableau at Coursera Curriculum
Data Analysis and Exploration
Welcome to the Course
The Business Intelligence Analyst Role
Welcome to Week 1
Data Analysis Process Framework
What Is Pathstream?
Data Analysis with Tableau Course Syllabus
How to Be Successful in the Course
How to Use Discussion Forums
Obtain the Superstore Dataset
Data Analysis Process Overview
Data Preparation
Data Analysis
Insight Development
Data Storytelling
Importance of Data Exploration
Exploring Structure and Metadata
Joins, Unions, and Relationships
Organizing and Customizing Fields
Combining Values
Removing Fields and Values
Creating Fields
Week 1 Recap
Practice - Data Analysis Process
Practice - Data Exploration
Data Analysis and Exploration
Get to Know Your Classmates - Meet & Greet
Data Preprocessing and Aggregation
Welcome to Week 2
Data Source and Worksheet Filters
Context Filters
Creating Folders and Hierarchies
Drilling Down
Groups
Sets
Aggregate Functions in Calculated Fields
Quick Table Calculations
Table Calculations
Data Preparation Overview
Filtering Data in Tableau Overview
How to Create a Data Source Filter
How to Create a Worksheet Filter
Filter Interface with Dimensions
How to Filter with Dimensions
Filter Interface with Measures
How to Filter with Measures
Understanding Context Filters
How to Create a Context Filter
Introduction to Combining Data
Using Folders in Tableau
Introduction to Hierarchies
Create a Custom Hierarchy
Understanding Drill-Down Reports
How to Drill Down in Time
How to Create a Custom Group
Introduction to Sets
Introduction to Aggregation
Aggregate Functions in Calculated Fields
What Are Table Calculations?
What Are Quick Table Calculations?
How to Use a Quick Table Calculation
What Are Grand Totals and Subtotals?
Adding Grand Totals and Subtotals to a Table
Week 2 Recap
Practice - Data Filtering
Practice - Combining Data
Practice - Data Aggregation
Data Preprocessing and Aggregation
Introduction to Statistical Analysis
Welcome to Week 3
Histograms
Box Plots
Intro to Statistical Analysis
External Module: Data Distributions
External Module: Variation for Data Comparisons
Statistics Cheat Sheet
Histograms
How to Build a Histogram
Histogram Design
Box Plots
How to Build a Box Plot
Box Plot Design
Week 3 Recap
Statistical Analysis
Histograms
Box Plots
Statistical Analysis
Introduction to Predictive Analytics
Welcome to Week 4
Scatter Plots, Trend Lines, and Custom Analytics
Congratulations
Intro to Predictive Analytics
External Module: Correlation and Regression
Understanding Scatter Plots
How to Build a Scatter Plot
Scatter Plot Design
Intro to Custom Analytics
Understanding Reference Lines
How to Add a Reference Line
Understanding Reference Bands
How to Add a Reference Band
Understanding Distribution Bands
How to Add Distribution Bands
What Are Trend Lines?
Trend Line Tooltip & Correlation
How to Create a Trend Line
Forecasting
How to Add a Forecast
Week 4 Recap
Project Overview
Practice - Predictive Analytics
Practice - Scatter Plots
Practice - Custom Analytics
Practice - Trend Lines and Forecasts
Predictive Analytics
Prepare and Analyze the Superstore Dataset