Tableau Desktop Specialist Certification Training (data analytics)

Tableau Desktop Specialist Certification Training (data analytics)

The Tableau Certification course teaches you how to build visualizations, organize data, and design charts and dashboards to empower more meaningful business decisions. You’ll be exposed to the concepts of Data Visualization, different combo charts, and stories, working with filters, parameters, and sets, and building interactive dashboards.

Key Features

• Course and material are available in English
• Beginner - Intermediate for aspiring data analyst
• 1 year access to the self-paced study eLearning platform 24/7
• 3 hours total video content
• 15 hours study time recommended
• Material Aligned with Tableau Desktop Specialist Certification
• Guided practices and lesson-wise knowledge checks
• Capstone industry projects for experiential learning
• No exam for the course but student will get certification of training completion
• Bonus Live Class! Held every month to support your learning

Bonus: In addition to this hands-on e-learning course, we offer you free access to our online classroom sessions whenever its available (every months) in addition to your e-learning if you wish. You will have the opportunity to have interaction with the trainer and other participants. These online classroom sessions will also be recorded, so that you can keep the recording for 1 year.

Learning Objectives

When you complete this course, you will be able to accomplish the following:

• Become an expert on visualization techniques such as heat map, treemap, waterfall, Pareto
• Understand metadata and its usage
• Work with Filter, Parameters, and Sets Master special field types and Tableau-generated fields and the process of creating and using parameters
• Learn how to build charts, interactive dashboards, story interfaces, and how to share your work
• Master the concepts of data blending, create data extracts and organize and format data
• Master arithmetic, logical, table, and LOD calculations

Target Audience

• Analytics professionals
• IT developers and testers
• Data analysts
• Data scientists
• BI and reporting professionals
• Project managers

Prerequisites: There are no prerequisites for taking this training. Learners need to possess an undergraduate degree or a high school diploma.

Course Outline

Lesson 1: Course Introduction

• Course Introduction
• What you will learn

Lesson 2: Data Visualization

• Introduction
• Data Visualization
• Examples of Effective Visualization
• Storytelling with Data
• Data Visualization Best Practice

Lesson 3: Introduction to Tableau

• Connect open and discover sections
• Connect different type of files used to import data
• Introduction to Tableau Public and Tableau Desktop

Lesson 4: Workspace

• Importing data from various file types
• Previewing and modifying data
• Creating data union aggregate data
• Introduction to workspace
• Green vs Blue pills in data pane
• Working with sheets in Tableau
• Introduction to cards in Tableau

Lesson 5: Types of charts in Tableau

• Basic charts
• Effective charts
• Slope Graph
• Waterfall chart
• Histogram and heat map
• Box and whispers plot and violin plot
• Bubble chart donut chart and lollipop chart
• Map chart and scatter plot
• Area chart bridge chart and radar chart
• Advantages of charts

Lesson 6: Creating Charts

• Horizontal and vertical bar chart
• Line chart
• Horizontal and vertical stacked bar charts
• Map chart
• Pie chart
• Treemap
• Highlight tables

Lesson 7: Data Preparation

• Data blending
• Establishing a link and steps for data blending in Tableau
• Introduction to data extraction
• Extracts and live connections differences and advantages
• Introduction to calculated fields
• Row calculations
• Aggregate calculations
• Table calculations
• Best practices

Lesson 8: Preparation Techniques

• LOD expressions and their types
• Fixed level of detail
• Include or exclude level of detail
• Filters and LOD expressions
• Pivoting data
• Creating parameters
• Creating calculated fields using parameters

Lesson 9: Filters and Analytics in Tableau

• Why filters
• Types of filters in Tableau
• Introduction to Analytics
• Different types of analytics options in Tableau
• Using medians and averages

Lesson 10: Dashboards in Tableau

• Dashboard Introduction
• Elements in dashboard building
• Fixed-size dashboards
• Using actions feature in dashboards
• Using device designer
• Tips on fitting your dashboard to a device

Lesson 11: Stories in Tableau

• Stories
• Creating stories

End Projects

Project 1: Crime Analysis

Use Tableau to craft an interactive dashboard to analyze crime data, which will facilitate law enforcement's comprehension of crime patterns and trends.

Project 2: Regional Sales Dashboard For Sales Performance Analysis

Leverage Tableau to analyze and compare the sales data of an MNC from two regions. The goal is to support senior management in making informed decisions, enhancing strategic planning, and implementing sales improvement strategies, by visualizing the data on a dashboard and highlighting regional trends and areas for improvement.