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Tableau is a business intelligence and data visualization platform that has gained popularity among data analysts and data scientists over the years, thanks to the fact that it delivers an amazing user experience. Tableau features a drag-and-drop interface that allows you to quickly create interactive visuals in any charts, including plots, maps, bar charts, tables, pie charts of varying sizes, views, and colors. Tableau can visualize up to 24 different types of charts. It also features powerful computational capabilities and offers valuable insights from data on the go.

In addition, Tableau has various product offerings for different types of users, including Tableau Desktop, Tableau Server, and Tableau online, among others. The fact that it is compatible with a wide range of on-premises and on-cloud databases makes Tableau the preferred data visualization tool for many businesses. A Tableau course should be the first consideration for any data professional who wishes to gain data visualization skills.

If you are considering a career in data analysis or data science, visualization is a skill you can’t afford to lack, and Tableau is one visualization tool whose wide adoption you’ll appreciate once you are in. Our article today focuses on two popular Tableau courses.

Udemy Tableau course

Tableau 2020 A-Z: Hands-On Tableau Training For Data Science course

The Tableau 2020 A-Z course by Udemy is a comprehensive Tableau introduction course designed for beginners. Using Tableau version 10, this course equips learners with the visualization skills required to discover insightful patterns, behaviors, and trends hidden within datasets that are useful for making informed business decisions.

This course is intended to enable learners to apply their Tableau skills and knowledge to real-world data science problems by analyzing and visualizing complex data sets.

About the course

Starting with the fundamentals of Tableau software, this course takes you through the step-by-step process that data goes through before it is visualized and presented. It covers basic and advanced Tableau data preparation functions comprehensively. From connecting the software to a data file, exporting a worksheet, performing data exploration and analysis, to visualizing your results into various types of charts to identify valuable hidden trends and patterns in the sets. Thereafter, you should be in a position to make accurate predictions using time series analysis.

Designed for:

This course is designed for professionals with beginner or intermediate Tableau skills who wish to either learn or improve their visualization skills with Tableau.

Modules

This course consists of 10 sections with a dataset for each section and a total of 82 lectures covered over 8 hours and 53 minutes.

Objectives

  • Have an in-depth understanding of Tableau features and hands-on knowledge of various Tableau functions.

  • Connect Tableau software with a data file and export a worksheet.

  • Be able to explore, experiment with, prepare, identify and fix issues in a dataset as well as present it graphically in a way that non-technical professionals can understand and pick up insights at a glance.

  • Create table calculations, treemap charts, and storylines during data preparation.

Core skills you will gain

By the end of the course, a learner should have gained the following skills and knowledge:

  • Be able to install the Tableau Desktop 2020

  • Create various Tableau visualizations, including bar charts, area charts, maps, scatter plots, pie charts, and dual-axis charts,

  • Create interactive dashboards and add actions like highlights and filters

  • Create extracts and hierarchies from datasets

  • Connect Tableau with datasets like Excel, CSV files, and others

  • Carry out data blending and joining

  • Create table calculations, treemaps, storylines, as well as apply various Tableau parameters

  • Export your visualization results into other software like PowerPoint and Word

Delivery mode

This course is packaged with pre-recorded Tableau instructional videos, six articles, quizzes, and real-life practice data analytics exercises.

Cost

This Tableau course costs a discounted fee of $11.99, down from $129.99.

Requirements

This is a beginners course and therefore only requires basic computer knowledge.

Key takeaways

Each section of the course is independent. This gives the learners the freedom to learn the concepts in whichever order they please.

Simplilearn Tableau course

Tableau Certification Training Course

Embed Youtube Video URL here: https://www.youtube.com/embed/xwj2p4LSD1k

This comprehensive Tableau Certification Training Course by Simplilearn is designed to help beginners learn visualization from scratch. They will learn how to use various functions of Tableau Desktop 10 to perform data exploration, analysis, and reporting.

This training lays the foundation for advancing into the Tableau Desktop Certified Associate Exam, the Data Scientist Course, Data Analyst Course, or the data science and data analysis post-graduate programs.

About the course

The Tableau Certification course takes learners through organizing datasets, performing data exploration and analysis, designing dashboards, and building visualizations that enable them to identify trends and patterns instantly as well as draw insights to facilitate informed decision making.

Learners taking this course will learn the basics of statistics to help them with data analysis, data mapping, and how to connect Tableau with various data sources.

Designed for

This course is designed for professionals who either wish to learn Tableau from scratch or improve their Tableau skills. It is suitable for professionals in the data science and analytics fields who wish to have a strong standing in data analysis. This includes IT developers, testers, data scientists, data analysts, business analysts, as well as project managers.

Modules

This course is packaged with 10 lessons taken over 56 hours of applied learning along with four real-life industry projects, two simulation exams to help you prepare for the exam, and lifetime access to self-paced learning.

Objectives

  • Learn how to install Tableau Public and use its user interface

  • Learn how to create various Tableau charts. This course will teach you how to create 10 charts, including bar charts, line charts, scatter plots, funnel charts, and highlight tables.

  • Practical knowledge of working with metadata

  • Apply different types of filters in Tableau

  • Applying analytics on Tableau worksheets

  • Create interactive dashboards

  • Learn Tableau level of detail expressions

Core skills you will gain

  • Tableau statistics

  • Aggregation in Tableau

  • Building interactive dashboards

  • Creating different types of charts

  • Data analytics

  • Data connections including unions, joins, and blends

  • Arithmetic LOD calculations

Delivery mode

Simplilearn offers students flexible learning options. Learners can enroll for the self-paced learning option, where they are given lifetime access to pre-recorded instructional videos to study on their own and take the certification exam thereafter.

Alternatively, learners can opt for the Flexi Pass mode of study that gives them access to live online classroom training as well as the pre-recorded instructional videos for revision purposes.

Cost

The self-paced course costs $599, while the blended learning option costs $699.

Requirements

There are no requirements for taking the Tableau Certification Training Course.

Key takeaways

At the end of the course, a certification is awarded as proof of the skills acquired. This course is structured in a way that lays the foundation for pursuing Tableau Advanced Training. Also, Simplilearn offers a very resourceful project mentoring program to learners.

Simplilearn offers a 100% refund guarantee for those who are not satisfied with the program.

Conclusion

Tableau ranks high among data analytics and business intelligence tools and has thus seen impressive adoption rates across the globe. Tableau proficiency does not only give them an edge in the analytics job market but also places them in a good position to support informed decision-making to drive business growth and profitability.