This course will introduce students to the philosophy, design, best practices and tools of Data Visualization. The visualizations shall be taught using Microsoft Excel, Python’s Matplotlib, Power BI and Tableau.
Any individual who is:
Amlesh Kanekar has 34 years of experience in Information Technology in the Banking & Finance domain. His first 8 years were in Tata Unisys Limited (now merged into Tata Consultancy Services), followed by the next 12 years as an international independent consultant on Unisys products and finally the last 14 years with Oracle Financial Services Software Limited (OFSS). His Leadership roles include Global Consulting Head for Digital Banking, Product development head for Digital Banking, Product QA head for Core Banking and Digital Banking, Delivery head for the virtual bank in Japan for Core Banking & Digital Banking.
At the end of this topic students will have a comprehensive understanding of how statistics and visualization complement each other. They will learn to appreciate the correlation between numerical dynamics of data and the principles of visualization.
At the end of this topic students will have an in-depth understanding of the visualizations for a single categorical variable and a single numeric variable.
At the end of this topic students will have an in-depth understanding of bivariate visualizations for combinations of categorical and numeric variables.
At the end of this topic students will be well-exposed to multivariate visualization using the scatterplot.
At the end of this topic students will have learnt three additional visualizations. They will also have obtained a glimpse into how graphs need to be dressed up for publication on the worldwide web.
At the end of this topic students will have learnt how to create effective visualizations using Python’s Matplotlib package.
At the end of this topic students will have learnt how to create effective visualizations using Power BI.
At the end of this topic students will have learnt how to create effective visualizations using Tableau Public.
MDAE alumni working in diverse roles across leading companies.
Trainee Decision Scientist
Senior Research Analyst
"Prof. Amlesh was an exceptional guiding force. Everything I have learned about Python through his course not only helped me for the exam, but I believe will help me a long way. He was patient with every student and every doubt. He made sure that everyone was comfortable with the pace he was going at. Apart from that, his course was also very well structured, Learning coding this way, in a step by step manner has really cleared my basics, which makes it easier for me not just to get comfortable with python, but every other programming language. The handouts provided were of great help as well, because during the lecture or even while practicing, there was a guide available to us on every step of the way. Overall, I believe that Prof. Amlesh's course was outstanding in every way and I look forward to learning more from him if the academy gives me the opportunity."
"Prof Amlesh is the most patient and eloquent professor ever. I have no background in data and programming, and he made everything seem so easy and understandable, that it never felt like I haven't done this before. He was always approachable, and always very open to helping students actually learn."
MDAE's online courses are loved by learners across 100 + companies and 200 + top colleges.
Begin your journey with MDAE to be a data scientist now!
Discount Offer Valid For Limited Time!