Tableau for Data Analytics
This Tableau for Data Analytics course is designed to provide students with practical knowledge and skills in creating dashboards from a database. Students will learn the important concepts of data visualization and how to change or transform the raw sets of data into an easily understood format. They will learn how to create powerful dashboards for business decision making.
This course covers the key features of the Tableau Prep. More importantly this subject will cover Tableau Desktop in detail. Students will learn how to format data, filter, sort and group data, calculate data fields, and so on. Upon completion of this course students will be able to apply their knowledge and skills in their data analytic project.
TOPICS OF THE COURSE:
Part I Tableau Prep
- Introduction to Tableau Prep
- Connecting to data
- Exploring your data
- Cleaning your data
- Combining your data
- Reshaping your data
- Sampling your data
- Previewing and sharing your Data
- Example flows
Part II Tableau Desktop
- Introduction and overview
- Getting started
- Concepts and options when connecting to data
- Calculation fields and formatting
- Filtering, sorting and grouping
- Building interactive dashboards
- Sharing workbooks
- Putting it all together
WHO SHOULD TAKE THIS COURSE?
Data analysts, financial analyst, marketing analyst, reporting analysts, data scientists, statisticians, computer programmers, students of data analytics, …
WHO IS THE INSTRUCTORS OF THIS COURSE?
Mr. Vijay Kumar, bachelor in computer science and MBA in Finance, is the lead instructor. He has more than 15 years of work experience as a senior data analyst for many Toronto-based companies. Tableau is the data visualization system he has been using in many data analysis projects. Mr. Kumar will integrate his practical Tableau skills into his instruction. This will enable students to apply their skills in real data analytic projects at the end of the course.
CREDENTIAL: College certificate
LOCATION OF COURSE DELIVERY: Toronto, Ontario (click here)