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Energy and Resource Analytics Course

With our Energy and Resources Analytics course, you will emerge as an industry professional equipped with the skills to unlock valuable insights from complex data sets, optimize resource allocation, and drive sustainable business practices in the energy and resources sector.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 16 Hours of Intensive Classroom & Online Sessions
  • 20 Hours of Free Python Programming Videos
  • Get Quiz Questions and Use Cases
HR Analytics course - 360digitmg
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HR Analytics course reviews - 360digitmg
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Academic Partners & International Accreditations
  • Energy and Resource Analytics course certification with Microsoft
  • Energy and Resource Analytics course certification certification with NASSCOM certificate
  • Energy and Resource Analytics course certification with INNODATATICS certificate
  • Energy and Resource Analytics course certification with TUV
  • Energy and Resource Analytics course certification with SUNY
  • Energy and Resource Analytics course certification with NEF

The Modern world is advancing rapidly, thanks to energy and resources. And as it has a vast impact on modern life and produces a vast amount of data on how energy is used and the different resources needed for the optimum performance of businesses and our everyday life. Data Analytics is an incredible solution to unburden data management and deliver meaningful insights that will help in the profits of the organizations.

Energy & Resources Analytics

Program Cost

INR 12,000/-

Overview of Energy & Resources Analytics Course

With Data Analytics, energy and resource companies can analyze data and process it to make profitable insights. Data is a valuable asset and processing it properly can help increase output, reduce downtime along with improving customer service. With efficient data analytics tools, companies can gain insights across geographies, services, sectors, and products to maximize profits for the company along with minimizing upstreaming costs. Companies can also retain and increase client, partner, and investor retention with interactive online dashboards. 360DigiTMG Energy and Resource Analytics course will introduce you to all the latest technological advancements that will help you strategize and provide insights for the profit of the organization.

Energy & Resources Analytics Course Training Learning Outcomes

Machine Learning and Big Data Analytics have become game-changer in the Energy and Resource Analytics domain. This Certification Program is a sui generis attempt to blend machine learning solutions for traditional customer retention problems and loyalty. Specifically designed to suit energy and resource professionals and data professionals who wish to understand the application of Big Data Analytics , Machine Learning, Neural Networks, and Deep Learning to Oil and Gas industry data. This Energy and Resouce Analytics course is meant for professionals from the energy and resource industry as it provides a comprehensive picture of how Data Science and Artificial Intelligence can be leveraged to increase productivity and profits in decisions. Understanding the applications of Data Science, Machine Learning to the energy and resource industry will be the prime objective of this content-rich program.

Work with various information sources
Analyse structured and unstructured data using different tools and techniques
Develop an understanding of descriptive and predictive analytics
Apply data-driven, machine learning approaches for HR functions such as attrition prediction
Understanding how surveys work and perform analytics on them
Use ML techniques to create a personalized experience for employees
Use data visualisation concepts to represent data for easy understanding
Block Your Time
hr analytics course - 360digitmg

16 hours

Classroom Sessions

hr analytics course - 360digitmg

20 hours

Programming Videos

Who Should Sign Up?
  • IT Engineers
  • Data and Analytics Manager
  • Business Analysts
  • Data Engineers
  • Operations managers
  • Energy traders
  • Data analysts
  • Energy and resource planners
  • Sustainability managers
  • Environmental scientists
  • Policy analysts
  • Researchers and students in energy and natural resources-related fields

Energy and Resources Analytics Course Modules

  • Introduction to energy and resources management systems
  • Energy demand forecasting and optimization
  • Renewable energy sources and optimization
  • Smart grid systems and energy analytics
  • Energy efficiency analysis in buildings and industrial processes
  • Carbon footprint analysis and reduction using analytics
  • Natural resource management using analytics
  • Supply chain optimization in the energy and resources sector
  • Energy trading and risk management using analytics
  • Emerging technologies and future directions in energy and resources analytics
  • Introduction to the various stages of analytics and using an historical example of the various stages can help understand the steps involved in analytics
  • Discussion on CRISP-ML (Q)
  • Explanation on the importance CRISP-ML (Q) in various Data Science related projects
  • Explanation on unsupervised and supervised learning
  • Explanation on the training, validation, and testing stages of supervised learning
  • Understanding right fit, underfit and overfit scenarios in supervised learning
  • Understanding Hyperparameter tuning in the context of overfit
  • This module covers the various steps of EDA
  • Discussion on the 4 business moment decisions in EDA
  • Discussion on univariate, bivariate, and multivariate EDA steps
  • Explanation of the various pre-processing steps involved in any Machine learning or Artificial intelligence project
  • Brief introduction to feature engineering
  • Re-cap of unsupervised learning in ML
  • Understanding of clustering in layman’s terminology
  • Understanding K-means clustering from a technical perspective
  • Understanding the usage of elbow curve and silhouette scoring to decide on the ideal number of clusters
  • Use Case: Clustering Electric usage profiles.
  • Re-cap on supervised learning
  • Understanding of nearest neighbor in ML
  • Understanding KNN algorithm and distance metrics
  • Understanding of early stopping point in training phase
  • Explanation of the need for odd number of neighbors when classifying
  • Use Case: Customer Churn Prediction for the Utility Industry.
  • Re-cap on Decision Trees
  • Understanding the various components of a decision tree
  • Understanding the idea behind root node and how it affects the overall tree
  • Understanding entropy and information gain concepts of decision tree to make logical choices on root node
  • Usage of hyperparameter tuning to optimize the tree
  • Use Case: Predicting solar energy.
  • Introduction to the concept of line equation
  • Correlation of line equation in ML terms
  • Understanding of correlation and its importance in Linear regression
  • Differentiating between the equations of SLR and MLR
  • Explanation on the OLS concept
  • Use Case Predicting Wind energy.
  • Re-cap on the topics covered before
  • Understanding the importance of AI
  • Understanding the reasoning behind the concept of neural networks
  • Explanation on the perceptron algorithm
  • Introduction to multilayer perceptron
  • Understanding the concept of weight calculations
  • Brief intro in gradient descent
  • Use Case: Assessing the heating load and cooling load requirements of buildings (that is, energy efficiency) as a function of building parameters.
Tools Covered
HR analytics course using python
HR analytics training using r programming
HR analytics training using r studio programming
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Energy and Resources Analytics Training program Panel of Coaches

Artificial Intelligence & Deep Learning Course Training -360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Read More >
Artificial Intelligence & Deep Learning Course Training -360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 18+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
Read More >
Artificial Intelligence & Deep Learning Course Training - 360digitmg

Bhargavi Kandukuri

  • Areas of expertise: Business analytics, Quality management, Data visualisation with Tableau, COBOL, CICS, DB2 and JCL
  • Electronics and communications engineer with over 19+ years of industry experience
  • Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
  • Trained over 750+ professionals across the globe in three years
  • Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Read More >
Energy analytics certification course - 360digitmg


Earn an Energy and Resources Analytics Course certificate and showcase your dedication to the profession. This certificate will set you apart in the job market, help you gain recognition at your workplace, and bolster your confidence. The Energy and Resources Analytics Course Certificate is your ticket to an expedited career path in the energy and resources industry.

Alumni Speak

Pavan Satya

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Pavan Satya

Senior Software Engineer

Chetan Reddy

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

Chetan Reddy

Data Scientist

Santosh Kumar

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

Santosh Kumar

Business Intelligence Analyst

Kadar Nagole

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Data Scientist

Gowtham R

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

Gowtham R

Data Engineer

Wan Muhamad Taufik

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Associate Data Scientist

Venu Panjarla

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Venu Panjarla

AVP Technology


Our Alumni Work At

Our Alumni

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FAQs for Energy and Resources Analytics Training Program

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

Each classroom session is recorded on video and stored in our Learning Management System AISPRY. You will be assigned a dedicated login to AISPRY. You can access the video sessions from AISPRY.

After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.

We assign mentors to each student in this program. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

This Certificate is valid lifelong. 360DigiTMG has a pay once repeat many times offer on this course. You pay once for the course and can repeat it many times in the future for free. This helps you adapt to technological changes and software updates in the course of your career.

Jobs in the field of Analytics

Jobs in the field of Analytics

The field of Energy and Resources Analytics offers a diverse range of job opportunities. Professionals in this field can work as Energy Data Analysts, Resource Optimization Managers, Sustainability Analysts, Energy Efficiency Consultants, Energy Risk Managers, and more. These roles involve using data analytics and modelling techniques to help organizations make informed decisions related to energy usage, resource allocation, and sustainability practices. Whether you're interested in a technical or management position, Energy and Resources Analytics provides exciting and rewarding career paths.

Salaries for Analytics Course

Salaries for Analytics Experts

Energy and Resources Analytics experts play a vital role in helping organizations optimize their energy usage, resource allocation, and sustainability practices. They collect, aggregate, analyze and process data to provide valuable insights to their employers. The average salary for an Energy and Resources Analytics professional in India is approximately 6,50,000 lakhs per annum. However, this can vary depending on the organization, the level of experience, and the specific role within the field of Energy and Resources Analytics.

Analytics Course Projects

Analytics Course Projects

The best way to build your knowledge is to work on live projects. There are various projects that one could venture into like energy consumption prediction, renewable energy investment analysis, energy efficiency optimization, carbon footprint analysis and natural resource management.

Role of Open Source Tools in Analytics Course

Role of Open Source Tools in Analytics

Programmers prefer open source tools because it helps them modify or improve upon the code. Many organizations have adopted tools of Analytics in a big way as they help them to analyze and visualize massive sets of Data. In this program, you will be exploring tools like R, RStudio, and Python.

Modes of Training for Analytics Course

Modes of Training for Analytics Course

The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.

Industry Application of Analytics Course

Industry Application of Analytics Course

Analytics plays an integral role in making data-driven decisions and boosting ROI. Its applications are used in various fields of statistics, analysis, and employee-related factors like retention, workforce planning, employee development, engagement, and performance.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.


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