Our data visualisation course covers the basic principles of working with Tableau such as conditional formatting, integrating the dashboard, scripting, linking maps, Tableau integration with R, etc.
DurationOur data visualization course covers the basic principles of working with Tableau, such as conditional formatting, integrating the dashboard, scripting, linking maps, Tableau integration with R, etc.
Our experienced staff will mentor you through the various tools and shortcuts that make Tableau easy and fun to work with. At the end of the course, practical assignments and a live project will ensure you are ready to deliver business solutions for organizational benefit.
Module 1
Creating Great Visualizations with Tableau
Module 2
Data Visualization Fundamentals
Module 3
Telling Stories with Tableau
Module 4
Calculations and Data Model
Module 5
Capstone Projects
Create a Sales Forecast Dashboard
Philosophy We Believe In.
Learning is organic; it grows. Just like a child. You can’t accelerate the years. Accept it.
Principal of Necessary Chaos: Chaos is part of learning. Get comfortable with it. Your objective over your lifetime is to minimize the chaos.
Mathematics is the Only Language; you cannot escape mathematics. Not liking mathematics is akin to not liking oxygen.
To really master any subject, you must know the philosophy behind it.
The inflection point is the “Point of Sustainable Practice." This is the hardest part. Once you reach here, You can drive wherever you want. Till such time, the struggle is inevitable.
Be hands-on and practice daily. It's common sense, isn’t it?
Master Tableau by enrolling in EDTIA's Tableau certification training course and upskilling your knowledge and technological skills in the industry.
Big Data investments have also skyrocketed, with several top-profile companies spending their resources on Big Data-related research and hiring big data analysts to change their technology landscape.
This artificial intelligence course will help you learn AI and big data concepts such as digital learning, the reign of the algorithm, smart data, data lakes, and many more.
The major focus of the course is to develop and improve skillsets at the industry level to work in the data science and data engineering domains. Less theories, more exercise, and projects
Data analytics is critical in almost all industries, from business and finance to government and healthcare. This is driving the need for people who can analyze and integrate data into business decision-making.
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