Nanodegree Program on Analytics & Data Science 
Start your journey as a Data Analyst in specialised domains of Automotive, Banking and Consumer Industry.
About the Nanodegree Program
Nanodegree Programs are industry-recognized credential premeditated for students to groove their skills or establish their career. With the cooperative effort of our proficient teams and industry leaders, Nanodegree Programs are curated to provide a proactive learning skill of forthcoming and contemporary computer technologies.
Nanodegree Program focuses broadly on job-readiness and covers every fundamental skill required to becoming successful in your career. The Nanodegree Programs profoundly focus on present industry necessities and career outcomes. The Nanodegree Programs are divided into topic-wise modules which in turn comprise of short video lectures, exercises, quizzes, and projects to enhance the conception of the topic. The courses are imparted by highly intellectual mentors who have appropriate industrial experience. Industry-relevant in the curriculum certifies that the students are prepared to take up industrial challenges. The Nanodegree programs enable students to network one-on-one with various industry experts as a form of mentorship support to the students.
We have a strong track record of placing learners in top automotive companies and leading startups
What makes Data Analytics so important?
More than 97,000 analytics positions remain vacant in India due to the shortage of talent.
Opportunities for freshers have also increased with openings for them accounting for 21% of analytics jobs, compared to 17% last year.
Hari Krishnan Nair, Co-founder, Great Learning said: A 45% increase in the supply gap in just one year indicates the pace at which businesses are adopting analytics and data-based decision making.
According to the report, the median salary being offered for analytics jobs in India is INR 11.5 lakhs/annum.
Around 23% of all advertised jobs last year we're offering more than INR 15 Lakhs as opposed to 20% a year ago.
According to the report, demand for Python is the highest amongst all the recruiters.
Currently, more than 75,000 jobs for data analysts in India are vacant!
Data analysts with more than 5 years of experience often earn up to 15 lakhs per annum.
To start from scratch! And make you gain all major skills to be a successful data analyst.
To make you feel motivated and encouraged and gather the theoretical background knowledge necessary for the learning process of python and data analytics.
To make you understand the data. To make you understand the requirements and to make your experience, how you can use your domain to upskill your job opportunities.
Download EV Data Analytics Nanodegree Brochure
Download the full curriculum with topics and units explanation attached with the set of DIYguru EV Nanogree Projects in this course.
Who is this program for?
- B.E./B.Tech. students and fresh engineering graduates who want to launch their careers in the EV Industry
- Ideal for candidates from engineering disciplines like electrical, electronics, mechanical and automobile engineering
- Learners with 0-3 years of experience who are looking to transition into a career in EV industry.
- Min 60% in 10th. 12th and graduation
Specialized roles one can apply for after doing this course
This programme is tailored to help you improve your engineering skills as a student, recent graduate, or working professional with following expertise.
- Performance Engineers
- Lead Engineers
- Business Intelligence
- Risk Analyst
- Senior Analyst
- EV Cloud Architect
- Project Analyst
- Product Analyst
- EV Technical Analyst Consultants
The Industry Ready Curriculum
8 Step Learning Process
The curriculum is designed by the industry experts working in core Data Analytics roles in EV and automobile companies.
It covers in-depth domain knowledge along with understanding of industry specific tools to train students for engineering roles in the industry. The program has 150+ hours of teaching and 50+ hours of project work delivered through a combination of sessions and assessments.
STEP 1: Introduction to PYTHON and Data Analysis
In this course, students will be introduced to the python programming language and the concept of data analysis. How data analysis has become one of the most important skills for students in different areas. How data analysis and Python, is useful in every domain, ranging from mathematics to physics, from computer science to electrical engineers. Every second company works with data, and so, requires, professionals, who can understand their data and can play with them! This course will bring out the understanding and motivation to start a career in data analysis using python.
STEP 2: Basics of PYTHON
This course will focus on the basics of the python language. Since python is currently the most used language for data analysis, it is essential to cover all basics of python language. This course will start from level zero and will take students to the level, where students could program independently and implement the concept of variables, user inputs, loops, error handling, operations, conditionals, functions, and statements. Students will be working on the number of assignments and develop smart programs. The focus will be to bring confidence among students, to upskill themselves to higher python programming expertise.
STEP 3: PYTHON Intermediate- Data Structures
Working with python basics will give students to flexibility to upskill and upgrade their python knowledge to a higher level. This will give you more understanding of analyzing and manipulation data with python concepts in more detail. This course will take the student’s expertise to the next level, where students would be able with more advanced examples and more sophisticated concepts. The students will work on essential concepts of strings, file systems, lists, dictionaries, and tuples. Moreover, the students will work with a large number of examples and will be given numerous tasks and assignments. These courses will enable students to analyze and work with apparently endless data! students will be able to work independently over a large number of sophisticated applications. These data structures will build a strong foundation for the ideal start of data analytics.
STEP 4: PYTHON Advanced
The course on advanced python will enable students to be ideal candidates for python developer profiles. This course will help students to think beyond the commonly used algorithms and concepts. Students will be able to work on topics, such that, they could retrieve and process databases right from the web! Students will work, extract, and access the data from the web APIs. In order to access different data forms, students will be taught the art of ‘regular expressions’ so as to define their own formula to retrieve the text from the thousands of data lines over any website. Students will work on different protocols and will implement their learning ver different web data formats. Students will be introduced the concept of OOPs programming in python and SQL.
STEP 5: Data Analytics Basic: Numpy and Introduction to Pandas
With the perfect knowledge in the python programming language, here comes the perfect time to make the transition into the domain of data analytics. The beginning of the course will enable students to recollect and revise the previously learned python structures, necessary to begin with data analytics. One of the most important libraries to be able to understand data is the library Numpy. Understanding data in the form of arrays and accessing them and manipulating them in array form will give you the foundation to learn higher-level libraries incoming courses. This course will focus on giving students that essential foundation. The students will then dive into the heart of analysis! The pandas! Students will cover the concepts of series, data frames, and performing essential operations and manipulations indexing, filtering, sorting, correlating arithmetic, and so on.
STEP 6: Interactive statistics for Data Analytics
If you want to be a successful data analyst, you need to have a strong foundation in statistics. We offer a comprehensive course on statistics for data analytics that covers everything you need to know to become an expert in the field.
Descriptive and inferential statistics: Understand how to summarize and analyze data using various statistical techniques.
Probability: Learn the fundamentals of probability theory and how it applies to data analysis.
Hypothesis testing: Learn how to test hypotheses and make inferences about data.
Regression analysis: Understand how to build regression models and analyze relationships between variables.
Time series analysis: Learn how to analyze time series data and make predictions.
Machine learning: Get an introduction to machine learning algorithms and how they’re used in data analytics.
STEP 7: Data Analytics Intermediate
In this course, students will work more extensively on analyzing data.students will work on the main areas of data loading, cleaning, preparation, data wrangling, transforming data, and data aggregation. The actual analysis comes here! Students will work on numerous examples, and will continuously work on random datasets to see how each function is applicable. This course will cover the actual analysis of datasets and will be able to apply the functions and algorithms in any possible manner based on their requirements. Finally, students will cover the concept of ‘time-series’ enabling students to analyze stuff in different terms of time intervals.
STEP 8: Data Visualization
Data visualization is a powerful tool for understanding and communicating complex data sets. Our course on visualization for data analytics, including dashboards, will teach you how to create compelling visualizations and dashboards that bring data to life.
Principles of data visualization: Understand the principles of data visualization, including data encoding, color theory, and visual perception.
Types of visualizations: Learn the different types of visualizations and when to use them, including bar charts, line charts, scatter plots, and more.
Design principles: Understand the design principles of effective dashboards and visualizations, including layout, typography, and use of space.
Data preparation: Learn how to prepare data for visualization, including data cleaning, transformation, and aggregation.
Dashboard creation: Learn how to create interactive dashboards that allow users to explore and analyze data in real-time.
Dashboard deployment: Understand the process of deploying dashboards to different platforms and sharing them with stakeholders.
Get the full curriculum
Download the full curriculum with topics and units explanation attached with the set of DIY Projects in this course.
15+ Realtime Industry Projects included with this course
apply your DIY knowledge to make / hack / invent application in real world .
Download the full list of project and choose your desired project, we will help you assign a mentor to complete.
Download the project list of project eligible in this course
Sample certificate
EV Data Analytics Global Verified Certificate
Certified by ASDC, Automotive Skills Development Council & NEAT, AICTE, All India Council for Technical Education, Govt. of India
Learner Stories
Hear #PowerAhead stories of career growth from our learners
“DIYguru has helped us a lot in improvising the concepts of electric vehicle design & engineering for our experienced and fresh employees. The trainers are of high quality and knowledgeable in terms of delivering the contents and making things understandable. We look forward to having a continuous relationship.”
| R Shashi Kumar, Head HR – Robert Bosch Engineering
Learners love DIYguru
Here’s what some of our 40,000+ satisfied learners have to say about studying with DIYguru Team.
"Very informative course, high quality in terms of quizzes and assignments, liked the project at the end of the course. Oh, and great support. Can recommend this one to my friends and colleaugues. Being the very first player in EV industry, DIYguru has been crucial to the EV ecosystem development in india"
"I have known DIYguru since 2013 when the first version Autosports india was launched and in last 6-8 years the platform has emerged as the leading maker's learning platform in india. Form me the team behind DIYguru has been the best support all through the journey after Bachelors till my master's"
"Some of the best customer service I've ever seen. Great platform for mechanical and electrical engineers to learn EV!"
"This is truly a 5 star experience for youngsters in india! keen to learn about EV Technology"
"The platform has helped me personally to build my career in renewable energy in Canada. Hope to see DIYguru in Canada soon. Five stars!"
"liked the course with wide range of calculations in EV, all tutors are very supportive."
"Automotive design with incredible knowledgebase in terms of support from Baja Tutor community of DIYguru is wonderful experience. Documentation on the web is also good. "
"Amazing content and great support from DIYguru community"
Recent Placements
Avg. Salary Package > 3.5L
66% Alumni Career Transitions
73+ Hiring Partners
50% Average Salary Hike
Featured In - Media Spotlight
The Automotive Skills Development Council (ASDC) has launched an Electric Mobility Nanodegree course in association with DIYguru.
आप इलेक्ट्रिक कारों के मैकेनिक बन सकते हैं, वर्कशॉप खोल सकते हैं या फिर पार्ट्स से जुड़ा बिजनेस कर सकते हैं.
पेट्रोल-डीलज की बढ़ती कीमतों से आने वाले समय में निजात मिलने की उम्मीद.
The increasing shift towards EVs will create a massive demand-supply gap of EV technicians available to cater to the problems in electric vehicles.
Awards and Recognitions
Frequently Asked Questions
Specialization and Individual Courses can be done online mode only. To attend offline class you need to enroll for either Nanodegree or PG Diploma program.
DIYguru centers are located in Delhi, Pune, Bangalore, Nepal, Bangladesh, Malaysia and Germany. To see the address, check Contact section of website.
Yes, all the individual courses, Nanodegree Programs, Specialization Programs and PG Programs are govt. approved.
NEAT (National Education Alliance for Technology) - AICTE, Ministry of Education, Govt. of India & ASDC, Automotive Skills Development Council.
Min. 12th pass can undergo this course. Students and Working Professionals with ITI, Diploma, BE / B.Tech or equivalent in domains such as Automotive, Mechanical, Electrical, Electronics can pursue this course.
Three Month, however in case you are unable to finish the course in three month, you can request for an extension here - Contact.
Two minor Project + One Major Project (Mandatory)
No. For Practical Hands on Training, you need to enroll for either Nanodegree or PG Diploma Program.
Yes, DIY KITs are available for this course, To avail it simply click on enroll button and it will shop you the option of purchasing course specific DIY KIT.
Admission fee for this course is 20000 INR / 250 USD
During checkout, you will get the option of paying in EMI
You will be given 6 month access to this course, to get lifetime access, you need to pay 10,000 INR / 120 USD.
Admission process for individual courses is direct online, there is no requirement of any screening test. However for Nanodegree and PG programs, you need to appear for test before taking admission.
You can avail project based internship for this course upon successfull completion.
Stepwise procedure for the course enrollment with a 4-week internship project
- Step 1: Apply for the internship-based learning-based course and fill the application form.
- Step 2: Pay the necessary fee to enroll in the program.
- Step 3: The technical team of DIYuru will check your entered data, and will share the confirmation of acceptance as you will be shortlisted in the next 24 hours.
- Step 4: Once you are enrolled in the course, start working on the course videos, and given assignments, and complete the course at your own learning pace! With this, you shall receive the ‘course completion’ certificate.
Project-based Internship process
- Step 5: If you have applied for the ‘internship-based learning’, then the team DIYguru Support shall connect with you to share the date of the ‘live course certification examination!’. This examination will enable you to understand your current expertise and will allow us to define the best possible project for you! Students will get a minimum of 4 weeks for the examination preparation.
- Step 6: Once you clear the examination, the DIYguru technical mentors will contact you to enroll you in the ‘live project’. Since students will work on a live project, students will get enough time to prepare themselves before the internship project begins.
- Step 7:
Since it is an ‘internship’ based project, the students will be encouraged to work through the assigned project in teams and will be allowed to achieve the results on their own, with mentorship support from DIYguru! Allowing you to gain the actual skills as an ‘intern’! Enrolled students will get a minimum of 4-6 weeks to work and submit their project reports.
- DIYguru shall also allow you to work in groups or as an individual. However, at the end of the internship, each student shall submit a project report with all the results achieved, for evaluation by the DIYguru technical team.
- Every candidate after successful completion of the internship project shall also submit a pitch presentation video, explaining his/her project-oriented achievements and results, so that the participants can work on their communication and presentational skills simultaneously. With this, you shall receive the ‘Project-based internship’ certificate (along with evaluation score), and an ‘achievement badge’ to validate that you have successfully cleared the ‘certification examination’ (shareable on LinkedIn and other platforms).
The internship after the completion of course is unpaid.
Placement assistance in terms of access to the Job portal will be provided, and you will be added to the weekly job update newsletter section to receive opportunities available in our partner companies.
Still have questions? Get in touch
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Please note, eligibility for this course is reserved to students who have done related projects and have relevant profiles matching with the pre-requisite of this course.
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