Workshop Session IV: Time Series Data Analysis In the fourth and concluding session, we will have an interactive session to clear any doubts from the proceeding sessions. Further, we will solve some data analysis projects covering time series and other trends. Tutors: Nandakishor Desai, Sourav Mondal

Workshop Session III: Data Processing and Exploration In the third session, the essential steps of data analysis will be discussed in further details including a detailed introduction to data wrangling. Further, some explorative data analysis techniques (basic statistical approaches, descriptive statistics etc…) will be discussed. Further, some basic machine learning concepts for advanced data analysis and associated libraries such as sci-kit learn will be discussed. This session will conclude with some hands-on analysis for some simple and practical applications in real-life. Tutors: Nandakishor Desai, Sourav Mondal

Workshop Session – II: Data Preprocessing and Visualization Session 2 of the workshop series begins with a detailed introduction to Pandas, Matplotlib and Scipy. Matplotlib is a powerful visualization tool for initial data exploration and understanding. An important library for a  diverse range of data analysis techniques is Pandas that includes well-organized data structures, file handling capabilities and efficient data preprocessing/management functions. Some practice programs will be discussed covering visualization and basics of file handling. Tutors: Nandakishor Desai, Sourav Mondal

Workshop Session – I: Fundamentals of Data Handling In Session 1 of the workshop series, the basic concepts of python for data science will be discussed. The topics include the importance of python in data analysis, python data structures (containers such as lists, sets, dictionaries and arrays), a brief overview of important libraries for data handling (such as NumPy, SciPy, Matplotlib, Pandas, Scikit-learn) and a detailed introduction to NumPy. Some practice programs will be discussed along with introducing the participants to hands-on programming on the discussed topics. Tutors: Nandakishor Desai, Sourav Mondal