Master Tableau with Makeover Monday
What you'll learn
- Finding data-driven insights through exploratory data analysis
- Decide which chart to use to highlight your insight
- Minimize visual clutter
- Practice creating and sharing original visual work
- Use the Makeover Monday checklist to identify areas of improvement
- Give and receive feedback
- Develop your own portfolio of visualizations
Requirements
- Ability to create basic charts and dashboards in Tableau
Description
This course is for those looking to give and receive feedback on Tableau visualizations. You will submit your work and receive feedback using Udemy's assignment feature and by participating in frequent zoom calls.
Please note that you have some familiarity with Tableau before taking this course.
For 300 weeks, Eva Murray and Andy Kriebel organized a weekly global social data project called Makeover Monday on their website. Each week, they would share a visualization along with the underlying dataset. Participants would then download the dataset and create their own viz, and share on social media and the Makeover Monday tracker. Eva and Andy would review selected submissions, discussing their strengths and weaknesses.
Makeover Monday is currently on indefinite hiatus, but all of the resources from the 300 weeks of Makeover Monday are still available. So we can use this phenomenal resource to improve our skills as data analysis & visualization.
Makeover Monday also provide a fantastic checklist that we'll use to help identify weak points in your dashboards.
For this course, you use Tableau to perform exploratory analysis of the dataset. You'll turn insights into compelling visualizations. I will provide feedback on your work, and you'll have the opportunity to see how other students handle those same datasets. Through this, you'll build a portfolio of work on Tableau Public while building your skills.
This course will help you go from just understanding Tableau's functionality to knowing how to use that functionality to build visualizations that wow. Commenting on his experience with Makeover Monday on Tableau's blog, Michael Frayman explained, "I had been building visualizations for many years at work, but I was not satisfied with how they looked or the information they conveyed/stories they were telling. Participating in Makeover Monday helped me improve my design, analysis, and storytelling."
Are you up for the challenge?
Who this course is for:
- Tableau Developers
- Data Journalists
- Data Analysts
- Business Analysts
Instructors
![Lukas Halim](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.5 Instructor Rating
- 18,214 Reviews
- 72,686 Students
- 4 Courses
Let me tell you about myself, and why I became interested in Tableau and Power BI.
I was the office Excel and SharePoint expert, creating macros and writing JavaScript to streamline workflows and create reports. I was a valued contributor to the team, but for a while I didn't seem to be learning new skills. A friend gave me a bit of advice - "don't confuse seven years of experience with one year of experience seven times." Friends were mentioning that there was a lot of buzz around Hadoop and Big Data, so I decided to go back to school.
I earned a Masters in Analytics from NC State in 2013 and now work as a data analyst in the health insurance industry. Using tools such as SAS, Tableau, and Teradata, I conduct analysis to help my company improve healthcare affordability and customer engagement.
- -- Instructor Rating
- -- Reviews
- 9 Students
- 1 Course
My name is Sumeet Bedekar and I welcome you all :)
Professionally, I come from the Business Intelligence consulting space and worked in the Sales and Marketing domain for Fortune 500 companies - Procter and Gamble , Johnson & Johnson and General Mills.
I believe that data is just numbers until we turn it into a data story. My specialty is data visualization, since the last 8 years I have been helping people to drive actionable insights from data to make critical business decisions.
I am passionate about training, mentoring and empowering people to understand data and make valuable contributions to their respective interest area. One of the strongest sides of my teaching style is that I focus on a practical approach towards addressing problem statements. I start from the root, break complex topics and then dive deep into it. Plus I also encourage students to go beyond and try something different. I am not afraid of failure. In fact, I think it is an essential part of the experimental process that gets you to success.
I am super pumped up at this point and looking forward to meet you.
Sumeet