Online Live + Hands On

Professional Certification in Data Science and Engineering Analytics

4.8/5
4.8
The Professional Certification in Data Science and Engineering Analytics is a comprehensive program designed for engineers and analysts focusing on data-driven decision-making in the automotive and electrical engineering industries. Covering Python programming, statistical methods, visualization, and dashboard development, this program equips participants to analyze, visualize, and interpret data for predictive maintenance, energy optimization, and engineering insights.

Want to know more? Enter your information to learn more about this program from IIT Guwahati and Download Program Brochure

 

February 15, 2025

Admission Closes On

3 Months

Program Duration

Online Live + Hands On

Learning Format

12,000 INR

Fees

World's Top Ranked Indian Institute of Technology

NIRF 2024 7th

QS World University Rankings
344

The World University 2024
601-800

In association with

What we do

Driving Green & Sustainable Energy Transformation, Powering Mobility Industry, workforce and upskilling Since 2012

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DIYguru is recognized and endorsed by  major educational and governmental organizations including the Ministry of Education, NITI Aayog, and NEAT AICTE for its commitment to upskilling in automotive and EV technologies. The institute also collaborates with industry leaders like L&T EduTech and the Ola Mobility Institute to ensure the relevance and practicality of its training programs.

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The Professional Certification in Data Science and Engineering Analytics is a comprehensive program designed for engineers and analysts focusing on data-driven decision-making in the automotive and electrical engineering industries. Covering Python programming, statistical methods, visualization, and dashboard development, this program equips participants to analyze, visualize, and interpret data for predictive maintenance, energy optimization, and engineering insights.

Leverage the prestige of IIT Guwahati

  • Program certificate and 'Executive Alumni Status' from the E&ICT Academy, IIT Guwahati
  • Opportunity to attend a campus immersion program hosted by IIT Guwahati
  • Engage in interactive sessions led by IIT faculty and industry veterans.
  • Deep dive into advanced EV design, control systems, and embedded systems.
  • Flexible scheduling to accommodate working professionals and freshers.
  • Work on powertrain optimization and battery management systems.
  • Apply skills through EV simulations using MATLAB and SIMULINK.
  • Hands-on projects aligned with real-world industry needs.
  • Receive personalized guidance on technical challenges.
  • Get career advice from seasoned mentors and industry experts.
  • In-depth support tailored to individual learning needs.
  • Access round-the-clock assistance for a smooth learning experience.
  • Immediate response to academic and technical queries.
  • Dedicated support team available for continuous guidance.
  • Gain insights directly from IIT Guwahati faculty.
  • Learn from industry professionals with practical experience in EVs.
  • Bridge the gap between theoretical concepts and real-world applications.
  • Flexible learning pathways to suit diverse needs.
  • Accommodates the schedules of working professionals.
  • Offers a comprehensive introduction for freshers entering the EV sector.
  • Access quality education with interest-free payment plans.
  • Ease the financial burden of pursuing advanced studies.
  • Multiple payment options available for added convenience.
  • Boost your credentials with a globally recognized certification.
  • Enhance your career prospects in the EV industry.
  • Certification recognized by leading industry players and employers.
  • Resume building and LinkedIn profile optimization.
  • 1:1 mock interviews to prepare for job opportunities.
  • Dedicated career support to enhance employability.
  • 24 hours of additional training focused on EV embedded applications.
  • Hands-on training for EV retrofitment and practical applications.
  • Gain expertise from industry-leading professionals.
  • Experience state-of-the-art labs and facilities.
  • Network with peers and industry leaders during the program.
  • Engage in on-campus activities for a deeper learning experience.
  • Receive a kit developed by DIYguru in collaboration with IIT Delhi, Tadpole Projects, and EVI Technologies.
  • Enhance your learning with practical, hands-on experience.
  • Tools included for building and testing EV components.
  • Accredited by NEAT AICTE and ASDC for high educational standards.
  • Ensures industry relevance and compliance with technical standards.
  • Recognized by employers across the EV industry.
  • Leverage DIYguru's extensive network of industry partnerships.
  • Access opportunities for job placements and industry exposure.
  • Collaborations with leading automotive and EV manufacturers.
  • Leverage DIYguru's extensive network of industry partnerships.
  • Access opportunities for job placements and industry exposure.
  • Collaborations with leading automotive and EV manufacturers.
  • Days
    Hours
    Minutes
    Seconds

    Want to know more? Enter your information to learn more about this program from EICT – IIT Guwahati.

    • Data Analysis for Automotive and Electrical Systems: Extract, clean, and analyze data from automotive and electrical sources to derive actionable insights.
    • EV Battery Health Monitoring and Optimization: Analyze battery performance to improve life cycles and predict failures using data analytics.
    • Predictive Maintenance Modeling for Automotive Systems: Develop models to foresee and prevent system failures, ensuring operational efficiency.
    • Engineering Data Visualization and Dashboard Design: Create intuitive visual representations of data to support engineering decision-making.
    • Energy Consumption Analytics for EVs: Monitor and optimize energy use in EV systems through data-driven approaches.
    • Sales and Market Data Segmentation in EV Applications: Analyze market trends and segment sales data for strategic planning.
    • Smart Grid Interaction Analytics for EVs: Evaluate EV integration with smart grids to optimize energy distribution and grid stability.
    • Statistical Modeling for Engineering Datasets: Apply advanced statistical techniques to analyze engineering datasets and predict trends.
    • Algorithm Development for Engineering Tools: Design algorithms for tools that enhance automotive and electrical system efficiency.
    • Fleet and Energy Management Using Dashboards: Create dashboards to manage EV fleets and optimize energy distribution in real time.
    • Data Analyst for Automotive Systems: Analyze large datasets to improve vehicle performance and operational efficiency.
    • Predictive Maintenance Specialist: Develop systems that forecast equipment failures and optimize maintenance schedules.
    • Battery Performance Analyst: Focus on data trends to extend battery life and enhance energy efficiency.
    • Python Developer for Engineering Applications: Build Python-based solutions for electrical and automotive engineering challenges.
    • Energy Dashboard Designer: Create dashboards that provide real-time insights into energy usage and performance metrics.
    • Statistical Data Scientist: Apply statistical methods to solve complex problems in automotive and electrical engineering.
    • Market Segmentation Analyst: Study market data to identify patterns and inform business strategies.
    • Smart Grid Interaction Specialist: Analyze and optimize EV interactions with smart grid systems for sustainable energy use.
    • Engineering Insights Specialist: Generate actionable insights from complex engineering datasets to support decision-making.
    • Algorithm Developer for Electrical and Mechanical Systems: Create algorithms for predictive analytics and system optimizations in engineering applications.
    • Python Programming for Data Analytics and Engineering: Proficiency in writing, testing, and deploying Python-based solutions tailored for engineering applications.
    • Proficiency in NumPy and pandas for Data Manipulation: Expertise in handling and transforming large datasets using Python libraries.
    • Visualization Skills Using Matplotlib and Power BI: Ability to create detailed charts and dashboards for data representation.
    • Statistical Analysis Techniques for Predictive Modeling: Knowledge of advanced statistical methods to build reliable predictive models.
    • Dashboard Design and Development for EV Applications: Competence in creating interactive dashboards for real-time data monitoring.
    • Data Cleaning and Preprocessing for Engineering Datasets: Skills in refining raw data for analysis and model building.
    • Time-Series Analysis for Battery Health and Performance: Ability to study and predict battery trends using time-series techniques.
    • Feature Engineering for Energy Optimization: Crafting new features from data to improve energy efficiency models.
    • Regression and Correlation Analysis for Predictive Modeling: Applying statistical techniques to predict system behaviors and outcomes.
    • Integration of Analytics and Dashboards for Decision-Making: Combining data insights with visual tools to inform strategic decisions.
    • Tata Motors
    • Mahindra Electric
    • Ola Electric
    • Hero Electric
    • Ather Energy
    • Bosch India
    • Ashok Leyland
    • TVS Motor Company
    • Continental Automotive
    • Hyundai Motor India
    • L&T Technology Services
    • KPIT Technologies
    • Wipro Automotive
    • Siemens India
    • Exicom Power Solutions

     

     

     

    Looking to enroll your employees into this program ?
    Module 1: Python Programming for Engineers: Applications in Electrical and Mechanical Systems
    • Module Description:
      • This module introduces Python programming for data analysis, covering basics to intermediate topics:
    • Module Details:
      • Understanding Python and Its Popularity
      • Introduction to Data Analysis
      • Why Python is Ideal for Data Analysis
      • Role of Data Analysts and Their Tasks
      • Application Areas of Data Analytics
      • Pre-requisites and Software
      • Requirements for Python in Data Analysis
      • Introduction to Python Programming: The Basics
      • Building a Strong Foundation in Python
      • Customizing Python Code and Writing Functions
      • Testing and Validating Python Code
      • Control Flow in Python: Loops and Conditional Statements
      • Strings: The Basics of Python Intermediate
      • Files: Diving into Real-World Scenarios
      • Lists: The Smarter Strings
      • Dictionaries and Tuples in Python
      • Project Work: Building Electric Vehicle Parameter Calculator System with Python
      • Data Modeling and Algorithm Development: Performing EV formula mapping
      • Implementation and Testing: Coding the Calculator in Python
      • Evaluation and Refinement: Testing Accuracy and Usability, Making Improvements
    • Module Description:
      • Participants learn to use NumPy and pandas for data analysis:
    • Module Details:
      • Numpy Fundamentals: Overview, Installation, Array Basics, Data Types
      • Array Operations: Basic and Advanced Operations, Arithmetic and Matrix Products, Universal Functions
      • Data Handling: Indexing, Slicing, Iterating, Conditions and Boolean Arrays, Shape and Array Manipulation
      • Advanced Numpy Techniques: Joining/Splitting Arrays, Broadcasting, Structured Arrays
      • Data Input/Output: Loading/Saving Data, Reading Tabular Data Files
      • Statistical Functions: Aggregate Functions, Statistical Analysis
      • Memory Management: Copies, Views, Memory Layout
      • Examples and Practical Applications: Implementing Real-world Scenarios
      • Pandas Basics: Installation, Introduction to Data Structures (Series, DataFrame, Index Objects)
      • Handling Data: Reindexing, Dropping, Data Alignment, Arithmetic Operations
      • Data Analysis Techniques: Function Application, Statistics, Sorting, Correlation
      • Advanced DataFrame Operations: Merging, Concatenating, Combining, Pivoting
      • Complex Data Operations: Hierarchical Indexing, Reordering, GroupBy Operations
      • Data Cleaning: Removing Duplicates, Filling NaN Values, Filtering Outliers
      • Integration and Application: String Manipulations, Regular Expressions, Using Pandas in Projects
      • Final Project and Case Studies: Implementing learned skills in comprehensive project scenarios
      • Battery Health Analysis Through Time-Series Data
      • Charging Infrastructure Optimization: A Spatial Data Approach
      • Predictive Maintenance Models for engineering systems
      • Data Wrangling for Sensor Anomalies Detection
      • Efficiency Enhancement through Feature Engineering in Power Consumption
    • Module Description:
      • This module focuses on creating visualizations and dashboards:
    • Module Details:
      • Introduction to the Matplotlib Library
      • Chart Essentials: Adding a Grid, Legend
      • Creating Various Chart Types: Line Charts, Histograms, Bar Charts, Pie Charts
      • Chart Customizations: xticks and yticks
      • Saving Charts: Directly as Images, Advanced Saving Options
      • Project on Matplotlib: A comprehensive project applying learned skills on real datasets
      • Getting Started with Power BI: Introduction
      • Navigating Power BI Interface: Overview of the dashboard
      • Download and Setup: Installing Power BI Desktop
      • Using Power Query Editor: Importing and transforming data
      • Data Modeling in Power BI: Creating relationships
      • Engineering Data Analysis Part 1: Engineering Sales Data Analysis
      • Engineering Data Analysis Part 2: Deeper insights into engineering market segmentation and customer behavior
      • Analyzing Battery Performance: Data Analysis with Battery Charging and Discharging Data
      • Engineering Sales Data Analysis Part 1: Visualizing sales volume
      • Engineering Sales Data Analysis Part 2: Advanced analysis on battery lifespan and warranty claims
      • Creating Dashboards: Techniques for effective dashboard design
      • Energy Consumption Dashboard: Building a comprehensive dashboard for monitoring energy usage
    • Module Description:
      • This module explores statistical concepts for engineering data.
    • Module Details:
      • Introduction to Probability: Counting methods (permutations and combinations), probability axioms
      • Events and Probabilities: Sample space, events, independent and mutually exclusive events, marginal, conditional, and joint probabilities
      • Random Variables and Distributions: Random variables, discrete and continuous variables, probability mass and distribution functions
      • Common Distributions: Uniform, Bernoulli, binomial, exponential, Poisson, normal, and standard normal distributions
      • Special Distributions: T-distribution, chi-squared distributions
      • Cumulative Distribution Function: Understanding and application of CDF
      • Conditional Probability and Distributions: Conditional PDF, Bayes Theorem, conditional expectation and variance”
      • Descriptive Statistics: Mean, median, mode, variance, standard deviation, correlation, and covariance
      • Central Limit Theorem: Introduction and implications
      • Confidence Intervals: Understanding and confidence for different parameters
      • Hypothesis Testing: Z-test, t-test, and chi-squared test, their assumptions
      • Statistical Inference Applications: Practical scenarios in automotive and electrical data analysis
      • Real-world Applications: Applying statistical methods to industry problems
      • Data Analysis Techniques: Advanced correlation and regression techniques for predictive modeling
      • Simulation and Computation: Use of statistical software for simulation and computation of real-world data
      • Project and Case Studies: Hands-on projects involving statistical analysis on automotive and electrical datasets
    Python Programming for Data Analytics and Engineering
    Proficiency in NumPy and pandas for Data Manipulation
    Visualization Skills Using Matplotlib and Power BI:
    Statistical Analysis Techniques for Predictive Modeling
    Dashboard Design and Development for EV Applications
    Data Cleaning and Preprocessing for Engineering Datasets
    Time-Series Analysis for Battery Health and Performance
    Feature Engineering for Energy Optimization
    Regression and Correlation Analysis for Predictive Modeling
    Integration of Analytics and Dashboards for Decision-Making
    Electric vehicle Parameter Calculator using Python
    Develop a Python-based application to calculate key electric vehicle parameters, integrating data modeling, algorithm development, and testing for enhanced usability.
    Battery Health Analysis through Time-Series Data
    Analyze battery performance trends using time-series data techniques to predict and improve battery life in EV systems.
    Energy Consumption Dashboard Design

    Create a comprehensive dashboard using Power BI and Python’s Matplotlib to visualize and monitor energy consumption patterns in electric vehicles.

    Statistical Modeling for Predictive Maintenance in Automotive Systems

    Apply statistical methods and regression techniques to develop predictive maintenance models, enhancing efficiency and reliability in automotive systems.

    • Build foundational and advanced skills in data analytics.
    • Learn practical applications in EV and engineering industries.
    • Develop industry-relevant projects for a strong portfolio.
    • Gain employability in data-driven engineering roles.
    • Understand key concepts in visualization, statistics, and predictive analytics.
    • Gain in-depth expertise in data science and analytics for engineering.
    • Enhance career opportunities in EV and automotive data roles.
    • Hands-on experience with Python, Power BI, and statistical methods.
    • Learn industry-relevant techniques for battery health and energy monitoring.
    • Build a portfolio with real-world projects tailored for engineering applications.
    • Develop Python applications for engineering analytics.
    • Perform advanced data analysis using NumPy and pandas.
    • Create interactive dashboards using Power BI and Matplotlib.
    • Apply statistical methods to automotive and electrical data.
    • Analyze battery health and energy consumption trends.
    • Develop predictive maintenance models for EV systems.
    • Visualize and interpret complex engineering datasets.

    Complete on-site
    classroom program

    Location: Mumbai

    LIVE + Recorded + Onsite + Hardware + Workshop

    LIVE + Weekend on-site sessions

    Location: Pune, Delhi

    LIVE + Recorded + Hardware + Workshop

    Location: Global

    Hardware Labs Access

    Two-Wheeler Simulator & Test Bench

    The 2 Wheeler Simulator & Testbench focuses on evaluating EV battery performance, including voltage, current, discharge profiles, and capacity testing under various load conditions. It also covers Battery Management System (BMS) testing and dynamic load analysis to optimize electric bike performance and safety.
    LAB 1

    Charging Station Simulator and Test Bench

    The Charging Station Simulator and Test Bench covers experiments focusing on the efficiency, behavior, and safety features of EV charging systems. It includes the measurement of voltage, current, and power consumption during charging, and tests security features like RFID and OTP-based authentication. Key areas include energy efficiency analysis, protection unit testing, and charging behavior under different conditions
    LAB 2
    Hardware Lab Attendees

    Our Alumni: Shaping the Future of Innovation

    Ankit Khatri

    EIR – DIYguru | R&D Testing & validation Engineer at CREATARA | Ex- ICAT

    Supratim Das

    EIR – DIYguru | Hardware Generalist @ Google || Ex – Exponent Energy || Ex- Taqanal Energy || Ex- HCL Technology || E- Mobility, Energy Mentor

    Industry Partners

    Unlock Top Industry Placements with DIYguru

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    FAQs

    How do I know if this program is right for me?

    After reviewing the details on the program’s landing page, we recommend filling out the short form provided to access the program brochure, which contains more detailed information. If you have any remaining questions about whether this program suits your goals, please reach out to us at learner.success@diyguru.org. A dedicated program advisor will get back to you promptly to help you decide.

    Are there any prerequisites for this program?

    Some programs, especially those that are more technical, may have prerequisites. This information will be clearly mentioned on the program landing page and in the program brochure. If you’re unsure about the prerequisites or your qualifications, feel free to email us at the above-mentioned address for clarification.

    Please note that all programs are conducted in English, and proficiency in English is necessary unless otherwise stated on the program page.

    What is the typical class profile?

    Participants come from various professional backgrounds and geographic locations. On average, more than half of the participants are from outside India, making for a diverse and enriching peer-learning and networking environment. Each cohort brings together professionals with varying experiences, industries, and perspectives, enhancing the learning experience.

    What are the upcoming dates for this program?

    Check the program page for updates on future start dates, or email us to inquire if new dates have been confirmed.

    Are there any hardware-enabled hands-on components in the program?

    Yes, select programs offer hardware-enabled hands-on training, where hardware kits are delivered to your home to support practical learning. The details of these hands-on components will be provided in the specific program outline. This unique offering allows participants to gain real-world experience in EV technology, embedded systems, and other technical domains while learning from the comfort of their homes.

    How much time is required each week?

    Each program provides an estimated weekly time commitment, noted under the Duration section on the landing page and within the program brochure. You can access the brochure by submitting the form on the program page.

    How will my time be spent?

    This program is designed to fit seamlessly into your schedule. Your time will be divided among various activities, including:

    • Watching recorded video lectures delivered by the faculty
    • Attending live webinars and office hours (schedule-specific)
    • Engaging with examples and readings on core topics
    • Completing quizzes, knowledge checks, and required tasks
    • Participating in moderated discussions with peers
    • Working on the final project (if applicable)
    • Engaging with hands-on hardware (where applicable)

    The program is designed to be interactive, combining structured learning activities with self-reflection, enabling participants to grasp the key concepts effectively. Should you need further clarification, please email us for details.

    What is it like to learn online with DIYguru & EICT IIT Guwahati?

    More than 300,000 learners from across the globe have advanced their skills with programs like this. Our learners have reported a high rate of satisfaction, with 90% stating that the learning outcomes met or exceeded their expectations.

    At the start of the program, all course materials will be made available. To ensure an optimal experience, a cohort-based approach is managed by our support team, the cost of which is included in the program fee.

    Our dedicated support team is available 24/5 (Monday to Friday) to assist you with any technical queries or concerns regarding the learning platform.

    How do I interact with other participants?

    Peer-to-peer learning is a significant part of the program. You can interact with other participants through the program’s learning platform, engaging in discussions, group activities, and projects.

    What are the requirements to earn the certificate?

    Each program outlines the expected learner effort per week, helping you gauge the commitment before enrolling. This information is provided on the landing page under the Duration section, as well as in the program brochure. Participants must complete all required activities to pass and earn a certificate of completion. Some programs may include final project submissions or assignments. You can always email us for further clarification on specific program requirements.

    What type of certificate will I receive?

    Upon successfully completing the program, you will be awarded a digital certificate. This smart digital certificate can be shared on platforms like LinkedIn or included in your resume or cover letter. It will be issued approximately two weeks after the program ends, once grading is completed.

    Can I get a hard copy of the certificate?

    Only verified digital certificates are issued, which you can conveniently share across social media platforms such as LinkedIn, Facebook, and Twitter.

    Will I receive alumni status after completing this program?

    No, alumni status is not granted upon completing this program. However, in some cases, credits from this program can count towards higher-level certifications. This will be indicated in the program brochure.

    How long will I have access to the learning materials?

    You will have access to all program materials and videos for 12 months after the program begins. Access is limited to registered participants only.

    What support is available for placements?

    All enrolled students gain access to emobility.careers, our dedicated platform for placement support. This resource helps connect you with job opportunities in the electric vehicle and e-mobility sectors, providing a bridge between your learning and career advancement.

    What equipment or technical requirements are there for this program?

    You’ll need the latest version of your preferred browser to access the learning platform. Additionally, Microsoft Office and a PDF viewer are required for accessing documents, spreadsheets, presentations, and PDFs.

    Do I need to be online to access the program content?

    Yes, the program is hosted online, and video content is streamed via the internet. While you cannot download video lectures, you can download other materials like transcripts, templates, and readings. The program can be accessed on desktop, laptop, tablet, or mobile devices.

    Live webinars and office hours will also require an internet connection, though recordings will be available for later viewing.

    Can I register after the deadline?

    Yes, you can register up to seven days after the program starts without missing core content.

    What is the program fee, and what forms of payment are accepted?

    The program fee is listed on the landing page and in the brochure. Flexible payment options are available, and tuition assistance may be available to qualified participants. For more details, please email learner.success@diyguru.org.

    What payment methods are accepted?

    You can pay via credit card, debit card, or wire transfer in the program’s designated currency. Please contact us for more details.

    Can I still use a discount code after enrolling?

    Yes! If you face any issues with a discount code, email us with your program details, and we’ll assist you.

    How can I get an invoice for payment?

    Email us with your invoicing requirements, and we’ll send the necessary details.

    Are flexible payments available?

    Yes, participants can opt for flexible payment options, available at the payment stage before submitting your fee.

    Who will collect the payment for the program?

    DIYguru will manage all payment collection, learner support, and platform services.

    For details on our refund and deferral policy, please visit the designated section on our website.

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