Oilfield data analytics with SQL and Power BI Last Updated: 2 months ago Mentor: Edvantage Learning
Oilfield data analytics with SQL and Power BI
₹10500/ $150 ₹12000/ $175
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About the training:

·        Power BI has changed the BI landscape forever, enabling BI professionals and regular Excel users alike to work with big data and build insightful dashboards.

·        Learn to use this powerful business intelligence solution from the ground up. Navigate the intuitive user interface and explore the ecosystem of data modelling tools. Discover outside-the-box visualizations and broadcast your insights to colleagues in the Power BI Service. This Course gives you a solid foundation to begin your Power BI journey.

·        The delegates will learn how to explore, discover and visualize their enterprise data using Natural Language. During the training program, the delegates will gain a thorough understanding of Power BI, how it works in different scenarios, create compelling reports, visualizations, know three vital components (Desktop, service, and Mobile apps) and create calculated columns and measures using the DAX language.

·        By the completion of the training program, the delegates will be able to communicate and present data in a visually understandable manner and make informed business decisions.

Course Objective:

  • This course intends to train those energy aspirants who wish to kickstart or upskill their careers in Energy analytics.
  • In a world where Data is called the new oil, data is not useful unless it is breakdown properly and visualized in such a way that everyone understands. Appreciate and understand the concept and working of Power BI.
  • Data visualization has turned into a life skill for employees irrespective of their domain, hierarchy and experience. Apply regular expressions to modify and simplify analysis using oil and gas data sets.
  • Power BI is the most powerful tool of the hour which can represent, and visualize the data with many meaningful insights.

Skills & benefits you will acquire:

  • Artificial Intelligence (AI) 
  • Allows Analysis and Sharing of Big Data. 
  • Personalized Dashboards and Interactive Reports. 
  • Access to Information in Real-time. 
  • Excel integration. 
  • Profuse Data Sources Support and Integration
  • Interactive UI/UX Features.
  • Customizing Security Features.

Duration:- 4 Weeks

Who can join the course:

  • Students and graduates from Energy industry looking to start their career as energy or Oil & Gas Analyst. interested to become an excellent analyst for Business Development and track industry growth. Etc.
  • Oil & Gas professionals who like to learn new skillsets and optimize their work efficiency.

Important Business Benefits of the Power BI for the Oil & Gas industry:

Enhanced Reporting:

  • Reports are a key part of any Data Strategy. They are used to present information in a way that can be easily consumed. But there are times where the intentions of a report does not always meet the expectation of the end user. This can be because of how different the dataset is or just not having the right features available to enhance the presentation of the dataset.

Secure access to data and analyses:

  • Data protection capabilities in Power BI build on Microsoft's strengths in security and enable customers to empower every user with Power BI and better protect their data no matter how or where it is accessed.

Automated updates of reports:

  • When you monitor critical events, it's important for data to be refreshed as soon as the source data is updated. For example, in the manufacturing industry, it's critical to know when a machine is malfunctioning or is close to malfunctioning. If you're monitoring signals like social media sentiment, you want to know about sudden changes as soon as they happen.

Quick identification of causes for trends in the data:

  • Often in visuals, you see a large increase and then a sharp drop in values, and wonder about the cause of such fluctuations. With insights in Power BI, you can learn the cause with just a few clicks.


1.  Creating and Managing databases with SQL:

  • Introduction to SQL
  • Databases and tables
  • Selecting data from tables
  • Updating data in tables
  • Deleting tables
  • Joining tables

2.  Data Exploration and Transformation with Power BI:

  • Data connection
  • Data preparation
  • Data Transformation with Power Query
  • Dealing with data distribution and Outliers
  • Exploring relationships between field variables

3.  Production trend analysis and forecasting:

  • Visualizing production trends over time with line and areas charts
  • Dynamic filtering for complex production data.
  • Calculations of key metrics with DAX
  • Production forecasting with time series forecast.
  • Identifying anomalies with statistical techniques and box plots
  • Investigating potential causes of anomaly with tooltips and drill through functionalities

4.  Production performance and Allocation:

  • Comparing production rates with stacked column charts
  • Incorporating performance benchmarks to evaluate wells performance
  • Introduction to Multi-well visualizations.
  • Identifying bad actors
  • Visualizing rate allocation among different wells and zones
  • Displaying contribution of each well or zone through data tables
  • Interactive features to analyse allocation patterns over time

5.  Production Dashboards and Reports:

  • Design comprehensive dashboards
  • Utilizing visuals, gauges and scorecards to track KPIs in real time
  • Sparklines to monitor production changes over time
  • AI tools in Power BI