Enhance Your Data Visualization Skills with Coursera's Tableau Specialization Program
07 June 2023
Add To Wishlist
Course Overview
Data Visualization with Software Like Tableau Specialization by Coursera, created in collaboration with Tableau, is intended for newcomers to data visualization to learn tableau step by step, especially for those with no prior experience in using Tableau. This course leverages Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will be given and shown numerous examples from real-world business cases and journalistic examples from leading media companies during the course.
By the end of this specialization, you will be able to generate impactful reports and dashboards that will help people make decisions and take action based on their business data. You will be able to use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predictive analytics to improve business decision-making.
This Specialization on tableau software learning culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation for the executive leadership of a fictional company. Upon course completion, the learner will be well-equipped to perform data analysis following the best practices in order to present stories in the best manner possible.
"The course has helped me understand Exploratory Data Analysis (EDA) which enables me in assessing how data and design work together and helps me choose the appropriate visual representation for the data accordingly."
- Dhruv Aggarwal
Course Structure
This certification program is a beginner-level tableau training course and is taught online. It is self-paced as it is aimed mainly at working professionals. It requires an effort of usually 3 hours per week to regulate the curriculum pace, which is spread over not more than 6 months. Some of the critical areas you cover in this curriculum include learning about Tableau basics, Data Visualization, Data Virtualization, Data Analysis, etc.
The learners tend to examine, navigate, and employ the various features of Tableau with this Tableau learning path. They are taught to assess the quality of the data and perform Exploratory Data Analysis (EDA). One learns to create and design visualizations along with dashboards for the intended audience. Upon course completion, one actually imbibes the way to perform data analysis following the best practices in order to present stories.
Technically, the course is spread over 3 prime modules formulated:
Module 1: Fundamentals of Visualization with Tableau
Module 2: Essential Design Principles for Tableau
Module 3: Visual Analytics with Tableau
Module 4: Creating Dashboards and Storytelling with Tableau
Insider Tips
In order to get the best out of this course, I have included some important tips below that I think you might find useful.
Understand EDA
EDA is a very crucial step for analyzing data visually for any business. It helps in defining and examining the similarities and differences and devising correlations in the data and further enables us to ask the right questions for what’s further needed in the visualization.
It enables assessing how data and design work together and helps choose the appropriate visual representation for the data accordingly. Using EDA, effective practice design principles can be applied to the visualization, which can generate strategic importance elements in the visualization.
Understand the Use of Charts
Selective use of charts for particular data provides a clear and concise visualization which helps in devising analytics and further fulfilling or solving business needs. Charts like scatter plots, histograms, bullet charts, and line graphs are mostly used for problems. Guidelines for charting like color, size and shape of charts, etc. are to be taken into consideration as well.
Take Assignments, Quizzes, and Projects seriously
The quizzes in the course help test the knowledge acquired, and the concepts learned during the course. The assignments help check the concepts learned after the course and check how accurately the concepts were retained. In the last phase of the specialization that project learners are required to build, it is assessed for knowledge, basic concepts, and storytelling.
Interpret the Business Objectives and Client Requirements
To improve the effectiveness of storytelling while delivering data visualization, knowing and understanding the business objectives and the client’s requirements is vital. Knowing the business terms and clients’ business techniques can help create a data visualization that is easily understandable by clients.
Complete the Entire Specialization Course
This Specialization consists of 5 courses, and each course plays an important role as each of them provides a particular concept of Data Visualization, Tableau, Essential design principles, Analytics, and Storytelling that must be completed in sequence as specified. Breaking the order of these courses can create gaps in your knowledge of these concepts.
Learn Best Practices of Data Visualization
The best practices of visualization are defined in the course in heavy detail. Those components deal with the color of visualization as per the sitting of the audience, size of visualization, choice of charts, choosing the right dashboard, and story effects. This will help the visualization be clear, concise, and of professional standard.
Develop a Habit of Learning
As a Data Storyteller, one must never stop learning. The frequent release of new technologies demands continuous learning. Follow these tips for guidance:
- Understand and learn it.
- Implement it.
- Revise and resolve the error.
Final Take
Currently, I am a Community Intern at Analytics Vidhya. The course has proved to be a wonderful learning experience, the best way to learn tableau and has helped me acquire a lot of essential skills.
I recommend learners to start by understanding the concept and learning it. Further, start implementing it to get hands-on experience. Ensure that the implementation is as per the course. Then, revise the steps of implementation, and if any error occurs, resolve it. Resolving the error boosts the confidence to implement the concept in a much more accurate and faster way.
I would absolutely recommend enrolling yourself in this Data Visualization Specialization course if you find the topic interesting and would like to learn more about it.
Key Takeaways
Learn how to create impactful reports and dashboards
No prior experience required in using Tableau
Learn Exploratory Data Analysis (EDA)
Access to Tableau's resource library
Sign Up Now
To Make Faster & Better Learning Decisions
Search and compare from over 50K top courses from leading partners & institutes
Get comprehensive ranking, analysis of top courses, and Institutes
Get career and learning advice from top professionals & industry experts