DataHour: Energy Data Science - Project From Scratch

DataHour Recording

About the DataHour:

In this DataHour, you’ll get a good sneak peek into what kind of Data, Processing & Projects happen in the Oil & Energy sector. You’ll gain an understanding of  Raw Data from an Oil Producing field i.e the Oil Well Data as well as the Water Injector well data. 

The data processing steps will be the major focus, which is the heart of many Industrial Data Science workflows. We'll talk about Null Handling, Feature Engineering, Outlier Detection, Descriptive Statistics etc. At the end, introductory Machine Learning will be explained to conclude the session. 

Prerequisites:  Enthusiasm to learn data science and Jupyter Notebook (Anaconda Package) to be installed in your systems (or Google Colaboratory).

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Speaker:

Divyanshu Vyas

Energy Data Scientist & Founder at Petroleum From Scratch

Machine Learning & Data Science Consultant- Oil & Energy Projects and a Community mentor for Python and Data Sciences for the Energy Industry with the motto to be the perfect mix of Physics & Mathematics.

You can follow him on Linkedin.