Imbibe the underlying principles of data analytics and learn how to use the data science pipeline
Develop proficiency in using R or python data stack and libraries like ggplot, dplyr, stats (for R) and pandas, scikit-learn (for python)
Learn how to employ statistical and machine learning algorithms to solve real life problems
Taught by real life practicioners
Tested and practical curriculum with real data sets
Interactive and live coding sessions
Professionals interested in learning data science
Programmers interested in building data driven products
Journalist, scientist, researchers interested in telling data stories
Business Intelligence analysts and consultants
The workshop is ideal for anyone who wants to learn how to use open source software - R or Python stack for statistical analysis and visualization. If you are not using R or Python for statistical analysis, then existing familiarity with data analysis in some other tool would help. There is no pre-requisite requirement to be familiar with the R or Python libraries mentioned above.
For doing the exercise during the workshop, we would be using R and R IDE - R Studio or Anaconda Distribution for Python. Please install the same in your machine prior to the workshop session. For attendees more curious, we will be using Rmarkdown or Jupyter Notebook as our IDE. Some of the main libraries we will using in the session are:
For R: dplyr, tidyr, ggplot, ggmap, plotly, rmarkdown, purr, prophet and forcats
For python: numpy, plotnine, seaborn, matplotlib, prophet and scikit-learn.
Amit teaches the craft of telling visual stories with data. He conducts workshops and trainings on Data Science in Python and R, as well as on Data Visualisation topics. His background is in strategy consulting having worked with AT Kearney in India, then with Booz & Company in Europe and more recently for startups in Bangalore. He did his B.Tech in Mechanical Engineering from IIT, Delhi and PGDM (MBA) from IIM, Ahmedabad. You can find more about him at amitkaps.com and tweet him at @amitkaps.
Bargava is a practicing Data Scientist. He has 14 years of experience delivering business analytics solutions to Investment Banks, Entertainment Studios and High-Tech companies. He has given talks and conducted workshops on Data Science, Machine Learning, Deep Learning and Optimization in Python and R. He has a Masters in Statistics from University of Maryland, College Park, USA. He is an ardent NBA fan. You can tweet to him at @bargava.