Energy & Resources Analytics Course Training

Name: Energy & Resources Analytics Course Training - 360DigiTMG
Brand: 360DigiTMG
Rating: 4.9 (2024 reviews)

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/-

Enquire Now

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

Energy and Resources Analytics Course Modules

1. Introduction to Energy & Resources Analytics and Application of AI, DL & ML in Energy systems

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

2. Introduction to CRISP-ML (Q) and Machine Learning Primer

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

3. EDA and Pre-processing

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

4. K-means clustering

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.

5. K-nearest neighbor

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.

6. Decision Trees

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.

7. Linear Regression

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.

8. Artificial Neural Networks

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

GenAI assistants and models

ChatGPT
Claude
Gemini
Llama
Perplexity

AI-assisted and vibe coding

GitHub Copilot
Cursor
Claude Code
Replit

Agentic AI frameworks

LangChain
Hugging Face
Ollama

Zero-code AI automation

n8n
Zapier
Make

Deploy and MLOps

MLflow
Streamlit
Docker
Databricks
AWS
Google Cloud

Trends in Energy & Resources Analytics Course

The coming decade will witness major and exciting changes in the energy and resources industry. The pandemic has changed the way businesses are done and has accelerated digitization and the growing need to integrate environmental, social, and governance (ESG) commitments with central business functions. The green energy transition is the major objective that needs to be achieved by energy and resource companies. Data Analytics is a major change that will help companies not only profit from whatever the future might bring but leave a positive social impact as their legacy.

How we prepare you

Get Quiz Questions and Use Cases
Live Free Webinars
Resume and LinkedIn Review Sessions
Lifetime LMS Access
24/7 Support
Job Assistance in Energy and Resources analytics Fields
Complimentary Courses
Unlimited Mock Interview and Quiz Session
Hands-on Experience in Live Projects
Offline Hiring Events

Call us Today!

+91 9989994319

You'll get access to your program on this email.

You will get updates on your WhatsApp.

Limited seats available. Book now

I agree with the terms and conditions

Certificate

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.

Energy analytics certification course - 360digitmg

Recommended Programmes

Certificate Course on Data Science

2064 Learners

Big Data using Hadoop & Spark Course Training

3021 Learners

Artificial Intelligence (AI) & Deep Learning Course

2915 Learners

Alumni Speak

"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.”

"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."

"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.”

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

"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.”

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

"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.”

Our Alumni Work At

And more...

FAQs for Energy and Resources Analytics Training Program

What if I miss a session at a classroom?

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.

Do you provide videos of classroom sessions? How can I access them?

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.

Will I get assignments after completing the classroom session?

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.

Will you provide me with a mentor?

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.

How long is this certification valid?

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

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 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

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

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

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

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.

Student Voices

4.8

5 Stars

4 Stars

3 Stars

2 Stars

1 Stars

Sunil Kumar Behera

3 years ago

I've reached a major milestone in my Data Analytics internship with 360DigiTMG. With guidance from experienced mentors, they’ve really helped me get closer to reaching my goals. Embrace the valuable knowledge and skills gained and continue leveraging this opportunity to excel in the dynamic field of data analytics.

Balu Malli Reddy

3 years ago

I'm Sai Manikanta, delighted to share my internship journey at 360DigiTMG. This internship has been a great opportunity for me to expand my limits and gain new skills. Diverse activities provided profound insights, shaping a promising future. Grateful for this opportunity, I eagerly anticipate forthcoming outcomes.

Manu R

3 years ago

The data analytics program was truly outstanding! The meticulously structured classes and enthusiastic instructors made learning both enjoyable and engaging. With this extensive knowledge at my disposal, I am not only confident but also eager to make significant strides in the field of data analytics.

J Vivek

3 years ago

One of the best institutes for training in Hyderabad. I am done with the Data science and Machine Learning course here. Trainers are highly educational and instructive. Invaluable experience gained through live projects, enhancing technical familiarity. Additional value provided through helpful working sessions further enriches the learning journey.

Kattamuri Mallikarjuna Rao

3 years ago

The teacher and staff are highly skilled at their jobs. They teach in a way that's easy to understand and interesting. They know a lot about the subject, so learning from them is great. The teacher plans everything well and explains hard stuff with lots of examples using Excel.

Mounika Devalamkadi

3 years ago

It was a wonderful experience for me as an intern to work in 360digitmg. This internship had made me become an expert in the field of data analytics which had greatly motivated me and Working with real-time datasets provided invaluable experience, enhancing my skills significantly.

Kanishta Pal

3 years ago

It was an awesome experience at 360Digitmg, offering the best resources and fostering excellent interaction. Working on real-life projects under expert supervision provided invaluable learning opportunities. Overall, it was a highly rewarding learning experience that contributed significantly to my growth and career advancement.

Gani Ganesh

3 years ago

I found a great coaching institute in Chennai for data-related courses. I completed a successful data analytics program there. The trainers were skilled and supportive, especially Vijay, who made learning Python easy. Thanks to him and 360DigiTMG. I also learned Data Analytics with SQL, Tableau, and Excel.

Balasubramanian Siddnipalli

3 years ago

360DigiTMG institute offers an exceptional learning experience, excelling in data science and machine learning. Despite lacking coding background, tutors ensured effective learning, making concepts easily understandable. Tutorial sessions covered job interview prep and case studies, with Mind maps boosting confidence. Highly recommend this Bangalore institute for data-related courses.

MD Kaif Khan

3 years ago

Excited for upcoming internships, confident in my improved skills from the program. Explored new territories and gained invaluable experience. Ready to apply newfound knowledge and continue growing in future opportunities. Grateful for the journey so far, eager for what's ahead.

Rohith Reddy

3 years ago

360DigiTMG institute offers one place where the course curriculum is so good and teacher training, equipping students with skills for their dream job. Grateful for the internship experience, including live projects, resume building, presentation practice, and interview preparation sessions. Enhanced confidence for future interviews. Thank you, 360DigiTMG, for the invaluable learning journey.

Janu Reddy

3 years ago

The data analytics with python course in the best coaching centre in Chennai. Finished the course well and worked on practical tasks. This helped me build my professional experience. By participating in interview preparation and project presentation sessions, I realized that I could present myself confidently to an interview.

Sai Abhilash

3 years ago

During my internship at 360DigiTMG, I gained invaluable experience, expanding my knowledge significantly. The opportunity provided a rich learning environment, fostering personal and professional growth. Grateful for the wonderful experience and the skills acquired, which will undoubtedly shape my future endeavours.

Anji Ranjith

3 years ago

Great institute! Exceptional learning experience, especially in data science and machine learning. Tutors adeptly simplified complex concepts despite my coding limitations. Varied tutorial sessions prepared us for job interviews with insightful case studies. Mind maps boosted confidence. Highly recommend this Bangalore-based institute for data-related courses.

Forward Deployed Engineer Course

Certified AI Governance Professional

Certification Program in Data Science

Practical Data Scientist Online Program

Data Science using Python and R Programming

Foundation Program in Data Science

Exclusive Python & R Program For Beginners

Data Science for Managers

AI & Deep Learning Course Training in USA

Business Analytics in USA

Data Visualization Using Tableau in USA

Professional Course in Data Analytics

MLOps Course with Training & Job Assistance in USA

Professional Certificate Course in Data Engineering

HR Analytics Course Training USA

Life Sciences and HealthCare Analytics Course in USA

Data Science for Internal Auditors

AI @ Work

Global AI Leadership Program

AI @ Work

Global AI Leadership Program

Certificate course on Data Science

Certificate course on Data Analytics

Certificate course on MLOps

Certificate course on Data Engineering

Energy and Resource Analytics Course

455 Reviews

2024 Learners

Academic Partners & International Accreditations

Energy & Resources Analytics

Program Cost

Overview of Energy & Resources Analytics Course

Energy & Resources Analytics Course Training Learning Outcomes

Tools Covered

How we prepare you

FAQs for Energy and Resources Analytics Training Program

Jobs in the field of Analytics

Salaries for Analytics Experts

Analytics Course Projects

Role of Open Source Tools in Analytics

Modes of Training for Analytics Course

Industry Application of Analytics Course

Sunil Kumar Behera

Balu Malli Reddy

Manu R

J Vivek

Kattamuri Mallikarjuna Rao

Mounika Devalamkadi

Kanishta Pal

Gani Ganesh

Balasubramanian Siddnipalli

MD Kaif Khan

Rohith Reddy

Janu Reddy

Sai Abhilash

Anji Ranjith

Data Science Courses in Other Locations

Domain Analytics

Data Science

Emerging Technologies

Enter OTP