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Data Analysis with Tableau 

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Data Analysis with Tableau
 at 
Coursera 
Overview

Duration

25 hours

Start from

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Total fee

Free

Mode of learning

Online

Difficulty level

Beginner

Official Website

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Credential

Certificate

Data Analysis with Tableau
 at 
Coursera 
Highlights

  • Earn a certificate from Tableau Learning Partner
  • Add to your LinkedIn profile
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Data Analysis with Tableau
 at 
Coursera 
Course details

What are the course deliverables?
  • 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.
More about this course
  • 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.
Read more

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

Data Analysis with Tableau
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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