About the course:

This Data Analytics program is ideal for all working professionals and prior programming knowledge is not required. It covers job-critical topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

The course is divided into 3 segments, in the first segment students will be taught the basics of excel required in data handling, pivot table, plots and graphs, conditional logic. Followed by this will be the second segment where the students will be introduced to python language and will be taught where they will be learning basic commands and coding. The final segment will give the students acumen to use python for data analysis. The students will be given various log data and real time drilling data to analyses.

Learning objectives:

• State-of-the-art infrastructure to ensure that you get the best of blended learning
• Live Training Sessions by an Industry Expert with 6-10 years of experience in the domain
• Dedicated Technical Support Engineers supporting you through the learning process.

Duration: 20+ hours

Prerequisites: Big Data analytics manages risks and enhances safety by improving oil and gas occupational safety. Predictive analytics can be used to reduce downtime and maintenance costs of oil refining equipment, consequently improving asset management.

Topics to be covered:

• Advanced Excel Sheets
• Python Programming
• Data Analysis & Interpretation