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| Tableau 2019.1 for Data Scientists |
What makes this training module different? This step-by-step guide is designed to give you practical and essential skills that anyone doing data visualization and analytics needs to have. You'll be able to boost your visualizations by learning techniques such as adding filters and quick filters, and using color schemas in dashboards.
By the end of this course, you'll have the skills to make your Tableau data visualization projects a success by creating fascinating stories and offering invaluable guidance when strategic business decisions are being made.
About The Author
Manja Bogicevic’s mission is to help decision-makers gain more profit with machine learning insights. She is one of the first self-made women data science entrepreneurs in the world. Currently, she is pursuing her Micromasters at MIT (field: Data Science & Statistics). She finished an MBA (Leader Project) at Ivey Business School in London, Canada, and a BA at Faculty of Economics in Belgrade, Serbia. She helps Investors and Asset Managers with data and insights on the flow and behavior of institutional investors in emerging markets. It’s a niche area, of serious interest to only around 1000 people in the world.
Manja is a Data Science Mentor at VC fund Faster Capital from Dubai and Data Scientist Leader and Shareholder at Trounceflow from London. Currently she works as a Data Scientist on projects in the marketing, FinTech, and sports industries.
She is a data Science blogger for Cambridge Spark, Towards Data Science, Data Driven Investor, and Becoming Human: Artificial Intelligence Magazine. She is also the creator and teacher of the course “How to become Data Scientist in 6 months”, with more than 300 students from Serbia.
Manja has a strong interest in projects that require both conceptual and analytical thinking. Her strong economics and business background in combination with her technical skills, which delivers innovative and actionable data science solutions in business.
She makes magic in the Data Science world with Python, SQL, Machine Learning algorithms, and Tableau.
Who this course is for:
- This training module is designed for aspiring data scientists and data analysts who want to develop their skills in Tableau 2019.1.
- Get the course
