Python for Data Analysis (Beginners - 2022)
Updated: Jan 19
Duration: 16 Hour training
Date: 9th Jan 2023, 2:00 PM to 7:00 PM
10th Jan to 11th Jan 2023, 9:30AM to 3:30PM*
First one hour intro session on 19th Dec 2022
*Sessions Postponed from Dec to Jan due to exams and vacation.
Limited seats available on campus, please sign up. The sessions are free of cost.
What will you Learn
In this Beginner’s Course: Python for Data Analysis, the following topics shall be covered:
1. Introduction to Python, how to use the Python programming language for data science
2. Data Analysis Libraries such as NumPy, Pandas
3. Visualization with Matplotlib, Seaborn and Plotly
4. Applying Concepts Learnt to some use cases
Who is the trainer
Dr. Arvind Keprate is an Associate Professor in Mechanical Engineering at Oslo Metropolitan University in Norway. He holds a PhD in Offshore Technology from University of Stavanger and has about 10 years of industry experience primarily in the energy sector. He has been a visiting researcher at Prognostics Center of Excellence at NASA Ames Research Center, California, USA, where he used Python to build surrogate models for engineering simulations. He also teaches Machine Learning, Deep Learning and Probability & Statistics. His research interests are in the field of Prognostics Health Management, Industrial AI, Decision Support Systems, Digital Twins for Engineering systems, Reliability engineering, Additive Manufacturing and Renewable Energy systems.
The course is for Beginners. No prior programming experience is required. However, some minimal experience or knowledge of data handling and willingness to learn and invest time with Python is needed.
Participants need to have their own laptop with Anaconda installed. The course is taught in a regular seminar room, not a computer lab. It is recommended that you bring a power cord for your own device. Please visit anaconda.com to install the software.
Questions, Please contact firstname.lastname@example.org