Tableau Tutorial for Beginners

Learn Tableau and Visualization
Free tutorial
Rating: 4.3 out of 5 (4,601 ratings)
43,896 students
Tableau Tutorial for Beginners
Free tutorial
Rating: 4.3 out of 5 (4,601 ratings)
43,896 students
Connecting to various data sources, and cleaning up data
Joining multiple datasets (Union, Blending, cross database Joins and many more)
Visualizing the data as Charts, Graphs, Maps, Plots etc.
Tricks and tips to tell a simple and effective story using data.
The concept of Tableau Database or Fast engine (Extracts)
Visual Analytics, Drilldowns, Sorting, Grouping, Set and Cluster creations, Filtering of data, Parameters, Tooltips, Annotations, Reference lines
Enhancing or switching your career in the field of Data Science and Analytics
Packaging your report into a Dashboard.
Playing with Geographical data types and using Maps in Tableau
Writing very complex and powerful calculations like aggregate calculations, Date, Logical, String, Number and other types of calculations.
And many more.

Requirements

  • No pre-requisities.
  • I have provided all the materials.
  • You just need a MAC or a Windows computer.
  • You can download a trial Tableau version to follow along with me (Links provided in the course)
Description

Are you looking to learn visualization for your next job as a data analyst or data scientist? If so, I have got a new course for you. I have recorded a series of videos to learn visualization using Tableau. You will learn, how to connect to different data sources like excel, SQL server and other databases in very less time, without needing to know complex coding and quickly clean up the data and put together powerful visualization. We will look at various examples to take complex data and visualize a simple story using the power of graphs and charts.

What will you gain from this course?

I am a coder and a manager and run a Data science team. Quite often through Linkedin and other channels I get questions on tips to start a career in Databases and Analytics. So I put together this course. I have taken into consideration a lot of stuff, that you will often need if you decide to start a career as a Reporting Analyst or Data Analyst.

By the end of this course, you will have a good understanding of Tableau, how to use it, how to gather data from different data streams and clean them, how to use the various tools provided by tableau in-order to create a report or visualization and many more. In short, you will be apply to directly apply these concepts in your new job or day to day work.

You will be able to take a very complex data and transform that into a beautiful story for analysis and present it to leadership.


Who this course is for:
  • Anyone who wants to learn Visualization using Tableau
  • Anyone who is looking to build a career in Data Analytics
  • Anyone who is in the field of analytics and wants to tell a good story using visualization
Curriculum
4 sections • 13 lectures • 2h 25m total length
  • Tableau Tutorial: Lecture 0 - Introduction To Tableau
  • Tableau Tutorial: Lecture 1 - Getting Started with Tableau
  • Tableau Tutorial: Lecture 2 - Exploring Basic Tableau
  • Tableau Tutorial: Lecture 3 - Deep Dive Into Tableau Visualization
  • Tableau Tutorial: Lecture 4 - Distribution Charts And Blending Data
  • Tableau Tutorial: Lecture 5 Massaging The Input Data
  • Tableau Tutorial: Lecture 6 Advanced Visualization Techniques
  • Tableau Tutorial: Lecture 7 Advanced Filtering Techniques
  • Tableau Tutorial: Lecture 8 Tableau Visualization Using Maps
  • Tableau Tutorial: Lecture 9 Advanced Tableau Visualization Using Pareto Charts
  • Tableau Tutorial: Lecture 10 Advanced Tableau Visualization Using Waterfall Char
  • Tableau Tutorial: Lecture 11 Tableau Calculations and LOD (Level of details)
  • Tableau Tutorial: Lecture 12 Conclusion

Instructor
Over 260,000 Students
Rakesh Gopalakrishnan
  • 4.3 Instructor Rating
  • 54,676 Reviews
  • 493,281 Students
  • 7 Courses

I am a coder, manager, educator and a gamer. I love data and analytics. In my day job, I work with database technologies including SQL , Big Data and Tableau. I am passionate about technologies and love coding and managing teams. In my spare time I like to teach Big Data analytics, Databases, Programming etc. I am currently working on certain machine learning and Data Science projects and love to explore more in the Statistics field.