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  • Moutaz Haddara

Python for Data Analysis (Beginners)

Updated: Dec 1, 2021

Duration: 12 Hour training across 4 days

Date: 5th, 12th, 19th and 26th Nov 2021

Time: 14:00 to 17:30

Location: Tollbugata 17, TAR-1/TG-1


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. Week 44: Introduction to Python and Data Analysis Libraries such as NumPy, Pandas

2. Week 45: Data Wrangling with Pandas

3. Week 46: Visualization with Matplotlib, Seaborn and Plotly

4. Week 47: Case study- Applying Concepts Learnt in the Course


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 at Kristiania University College in Oslo. 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.


Requirements

  • 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.

  • If you need help with licenses and installation, please come to the venue on Day 1 at 13:00.

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