Tableau for Data Analysis & Data Science

Tableau for Data Analysis & Data Science, available at $54.99, has an average rating of 4.6, with 68 lectures, 7 quizzes, based on 35 reviews, and has 107 subscribers.

You will learn about Connecting to Data Sources Organize Data & Create Filters Format Workbooks, Worksheets & Cells Groups, Sets & Parameters Tableau Charts Map & Geographical Data Calculated Fields Table Calculations Aggregate, String, Date & Logical Functions Relationships, Joins, Unions, Blending Data Data Visualizations & Dashboards Covid-19 Project Marketing Campaign Project Customer Incident Report Project This course is ideal for individuals who are Anyone who wants to learn Tableau from the beginning and become proficient. or Career in any data related field – Data Scientist, Data Analyst, Business Analyst, BI Developer, Report Analyst, any data related position. It is particularly useful for Anyone who wants to learn Tableau from the beginning and become proficient. or Career in any data related field – Data Scientist, Data Analyst, Business Analyst, BI Developer, Report Analyst, any data related position.

Enroll now: Tableau for Data Analysis & Data Science

Summary

Title: Tableau for Data Analysis & Data Science

Price: $54.99

Average Rating: 4.6

Number of Lectures: 68

Number of Quizzes: 7

Number of Published Lectures: 68

Number of Published Quizzes: 7

Number of Curriculum Items: 75

Number of Published Curriculum Objects: 75

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Connecting to Data Sources
Organize Data & Create Filters
Format Workbooks, Worksheets & Cells
Groups, Sets & Parameters
Tableau Charts
Map & Geographical Data
Calculated Fields
Table Calculations
Aggregate, String, Date & Logical Functions
Relationships, Joins, Unions, Blending Data
Data Visualizations & Dashboards
Covid-19 Project
Marketing Campaign Project
Customer Incident Report Project

Who Should Attend

Anyone who wants to learn Tableau from the beginning and become proficient.
Career in any data related field – Data Scientist, Data Analyst, Business Analyst, BI Developer, Report Analyst, any data related position.

Target Audiences

Anyone who wants to learn Tableau from the beginning and become proficient.
Career in any data related field – Data Scientist, Data Analyst, Business Analyst, BI Developer, Report Analyst, any data related position.

Tableau is one of the most popular and commonly used data visualization applications in business intelligence.

This class is designed to take you from knowing absolutely nothing about Tableau to becoming proficient analyzing and creating compelling and interactive visualizations with Tableau.

Is This You?

If your goal is to become a Data Scientist, Data Analyst, Business Intelligence Developer, Business Analyst, Tableau Developer, Report Analyst, of work with data in any capacity, the importance of knowing Tableau cannot be over emphasized.

This course is designed to equip you with what you need to be successful learning Tableau:

Step-by-step guide
Work with over 18 data sources
Lots of practice exercises to solidify your knowledge
Quizzes on each section to test your knowledge
Projects – Work on 3 exciting, guided projects that will be part of your portfolio

o Covid-19 Project – Analyze and create interactive dashboard using covid-19 dataset

o Marketing Campaign Project – Create dashboard providing insights using data from a marketing campaign

o Customer Incident Report Project – Create a dashboard to help management access customer incident reports

Course Requirement or Prerequisites

This course does not require any prior knowledge or specific academic background. The only requirement is having a laptop or desktop computer. All applications necessary for learning the course would be downloaded free from the internet.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Introduction

Lecture 2: Course Requirement & Prerequisite

Lecture 3: Course Structure

Lecture 4: Tableau Files

Lecture 5: Introduction to Tableau

Lecture 6: Tableau Platforms

Lecture 7: Udemy Review System

Lecture 8: Download & Install Tableau

Lecture 9: Install Microsoft Excel – Free Trial

Chapter 2: Create Your First Visualization

Lecture 1: Understanding Fields & Records

Lecture 2: Tableau Start Page

Lecture 3: Connecting to Data

Lecture 4: Data Types in Tableau

Lecture 5: Tableau Connections

Lecture 6: Tableau Workspace

Lecture 7: Know Your Data

Lecture 8: Create Your First View

Lecture 9: Dimensions & Measures

Lecture 10: Possible Combination of Fields

Chapter 3: Organize Data & Create Filters

Lecture 1: Marks Cards

Lecture 2: Filters

Lecture 3: Sorting Data

Lecture 4: Create Hierarchy

Lecture 5: Working with Date Fields

Lecture 6: Measure Names & Measure Values

Lecture 7: Dual Axis Chart

Chapter 4: Create Tableau Charts

Lecture 1: Bar Chart

Lecture 2: Line Chart

Lecture 3: Area Chart

Lecture 4: Text Table

Lecture 5: Pie Chart

Lecture 6: Highlight Table

Lecture 7: Histogram

Lecture 8: Tree Map

Lecture 9: Symbol & Field Maps

Lecture 10: Donut Chart

Chapter 5: Format Workbooks, Worksheets & Cells

Lecture 1: Format Workbook

Lecture 2: Format Worksheet

Lecture 3: Resize Tables & Cells

Chapter 6: Create Groups, Sets & Parameters

Lecture 1: Groups

Lecture 2: Sets I

Lecture 3: Sets II

Lecture 4: Parameters

Chapter 7: Introduction to Calculated Fields

Lecture 1: Becoming a Data Professional

Lecture 2: Calculated Fields

Lecture 3: String Functions (Basic Calculation)

Lecture 4: Date Functions (Basic Calculation)

Lecture 5: Aggregate Functions (Basic Calculation)

Lecture 6: Logical Functions (Basic Calculation)

Lecture 7: Table Calculation

Lecture 8: Level of Detail Expression

Lecture 9: Fixed LOD Calculation

Lecture 10: Include LOD Calculation

Lecture 11: Exclude LOD Calculation

Chapter 8: Work with Multiple Data Sources

Lecture 1: Create Relationships between Tables

Lecture 2: Join Tables Using Common Fields – Inner, Left, Right & Full Join

Lecture 3: Combine Data Using Unions

Lecture 4: Blending Multiple Data Sources Using a Common Field

Chapter 9: Projects

Lecture 1: Marketing Campaign Project – Part A

Lecture 2: Dashboard Environment

Lecture 3: Marketing Campaign Project – Part B

Lecture 4: Marketing Campaign Project – Part C

Lecture 5: Covid-19 Project – Part A

Lecture 6: Covid-19 Project – Part B

Lecture 7: Customer Incident Report Project – Part A

Lecture 8: Customer Incident Report Project – Part B

Chapter 10: Data Resources

Lecture 1: Generate Fake Data

Lecture 2: Next Steps

Instructors

Alexander Shafe
Information Security Consultant

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 13 votes
5 stars: 20 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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