Reviews from placed learners

4.3
Placed in 2025
Vishwanth Sastri linkedin

Data Operations, Flipkart Minutes

4.2
Placed in 2025
Ansh Grover linkedin

Data Analyst, Galytix

4.2
Placed in 2025
Somil Guha linkedin

Scheduler - Operations, Flipkart Minutes

4.5
Placed in 2025
Gowlikar Sachin linkedin

Data Analyst, Galytix

4.3
Placed in 2025
Prabhakar linkedin

Data Analyst, Galytix

4.8

Ankita Buwaniwal

Data Analyst, India Today News

5

Yashwant

GO-AI Associate, Amazon

4.3

Ganesh Baravkar

React JS Developer, Flipkart

4.2

Ajay

Fleet operations lead, Blinkit

4.8

Shriyansh Sahu

MIS Executive, Flipkart

4.3

Meghana

MIS Executive, Flipkart

4.2

Anurag

Executive Data Analyst, Miraggio

4

Abhishek Patil

ML Engineer, Paramount Healthcare

4.2

Eswari

SME - AI/ML, House of couton private limited

5

Khush Vijaybhai

Junior data analyst, Ven Analytics

Play

This course is for you if you feel lost about how to start your career

I took the course because I knew I wanted to build a career in Data Science, but did not know where to start. They helped me structure my path and guided me. The boosted visibility when applying for jobs also gave me a big advantage during the shortlisting process.

Nekender, 

Data Scientist

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My mentors were super supportive and motivating

I started the course in my last year of B.Tech, and it really helped me understand Excel, Tableau, SQL, and Machine Learning with Python. I am grateful to the faculty for always motivating and supporting me throughout the course. After completing the course, I secured a position as a Data Science Intern at Flipkart, which is a huge achievement for me.

Sowmya, 

Operations Executive - Data

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My college professor suggested me to take this course

I developed an interest in Data Science in my last year of B.Tech, and my College Professor recommended this course to me. Now I am confident in my knowledge of Advanced Excel, Machine Learning, Tableau, and SQL. After the course I got a Certificate of Excellence and got offered a Internship in Flipkart. This is my first paid Internship, and I am really excited about it.

Tharun, 

Operations Executive - Data

Play

I found a great opportunity despite switching my field!

I was a Mechanical Engineer, and did the course to switch to Data Science. They really helped me with Placement assistance. While I was learning, they not only assisted with the curriculum, but also with the Placement process.

Ravi, 

Data Science Associate

Have doubts about Data Science Placement Course? Reach out to our counsellors by filling this form.

Top companies hiring on Internshala

45,506

Data Science internships

₹50,000/month

Highest stipend offered

6,884

Internships with PPO

₹ 11LPA

Highest salary offered post internship

Learn from Top Industry Experts

Ankit Upadhyay

Data Analyst, Microsoft

Khushi Yadav

ML Data Associate, Amazon

Arpit Sharma

Ex - PayPal

Amit Kumar

Data Analyst, TCS

Manish Jha

Data Scientist, Deloitte

Uddipta

Ex - Indigo, Vistara

Rahul Pareek

Ex - HCLTech, GlobalLogic

Samraat Pattanayak

AI & Analytics , Cognizant

Priya

Instructor

Kumar Shikar

Data Science Trainer

Build real-world projects

Designed to help you gain industry-relevant skills

Capstone Project

Customer Sentiment Analysis

Build a sentiment analysis model and use Python packages for web scraping, data preprocessing, and transformation.Visualise customer satisfaction insights and sentiment patterns using Power BI.

Social Media Analytics for Branding

Leverage Excel for data extraction, cleaning, and analysis of social media metrics to uncover brand insights and optimize marketing strategies.

Retail Customer Retention Analytics

Design interactive Power BI dashboard to analyze customer journey, purchase patterns, and retention trends. Implement data modeling, DAX, and dynamic visuals.

Logistics Optimization for Delivery Routes

Analyze logistic operations using SQL to identify delays, optimize delivery routes, and improve shipment efficiency for data-driven performance analysis.

Financial Risk Analysis with Python

Assess financial risks using Python by analyzing investment fluctuations, estimating potential losses, and evaluating portfolio performance in challenging market scenarios.

Data Driven Customer Segmentation

Conduct Market Basket Analysis using Python by applying clustering algorithms to e-commerce data, using tools like pandas, NumPy, and scikit-learn.

Disclaimer: Projects have been built leveraging real publicly available data sets from organisations.

How will you get placement?

Go from beginner to pro in 6 months

With a curriculum designed and taught by industry experts, you will get the skills and mentorship for assured success.

Live & on-demand sessions

Latest Al tools

Industry-level projects

Become placement-ready

Prepare to ace your placements with our career coaches, having 10+ years of experience. Say goodbye to placement anxiety!

Soft skills training

Resume building & AI-Powered mock interviews

All-new live bootcamp

Unlock Exclusive Placement Benefits

Exclusive

Unlock a world of opportunities and start your journey to success - we assure you a secure career with our placement benefits!

AI-driven practice interviews

Elevate your resume and get personalized 1:1 resume vetting sessions.

Practice_interviews

Get IS Boost worth ₹12,000 for FREE

Increase your visibility on Internshala by 5x with unlimited profile boosts.

Boosted

Access to top brands and high-paying roles

Apply to opportunities reserved only for Placement Course learners.

Top

AI-driven practice interviews

Elevate your resume and get personalized 1:1 resume vetting sessions.

Increase your visibility on Internshala by 5x with unlimited profile boosts.

Apply to opportunities reserved only for Placement Course learners.

To know more about terms and conditions, click here.

Placement report

Our mission revolves around our learners

Promising 100% #CareerSuccess!

Our learners got placed. So can you!

Abhishek

Taksheel

Nabajyoti

Nagaraj

Rahul

Kala

Shriyansh Sahu

Meghana

Aayush

Richa

Annu

Tushar

Umang

Yashwant

Srinivasa Reddy Medam

Ganesh Baravkar

Ajay

Ankita Buwaniwal

Top career options in Data Science

Data Scientist

Understand business problems and use your technical & analytical skills to solve them with the help of data.

Data Analyst

Create and maintain rich interactive visualizations through data interpretation and analysis.

Business Analyst

Uses domain knowledge and technical aspects of the data industry to drive business decisions.

Power BI Developer

Build stunning data dashboards that empower businesses. Master Power BI & become the go-to person for transforming data into actionable insights.

SQL Developer

Unlock the power of data! Master SQL, the language of databases, & manage massive datasets with ease. Design & build robust database systems for businesses.

Industry-recognized & government approved certification

Internshala Trainings certificate

Upon successful completion of the program, you will receive a Data Science Placement Course certificate from Internshala.

NSDC & Skill India certificate

Also, receive a certificate from NSDC (National Skill Development Corporation) and Skill India.

Industry-Oriented Data Science Placement Course Curriculum

Updated in June'25
200+ hours of learning
8 courses
6 Projects
3 AI tools covered
Live placement bootcamp

To learn more about the course download the brochure

1 . Introduction to Data Analytics

3 Modules 1 Demo video inside
Introduction to Analytics
  • Real World Glimpse
  • Problem Solving Using Data
  • CRISP DM
  • Analytical Tools
  • Navigation of Tool
  • Tips and Tricks
  • Working on Right Data
  • Operators and Math Functions
  • Text Functions
  • Date Functions
  • Logical Functions
  • Lookup Functions
Analyse and Summarise Data
  • Conditional Formatting
  • Data Validation
  • Table
  • Power Tools
  • Macro Basics
  • Exploring More on Macro
  • VBA Basics
  • Exploring More on VBA
Project: Social Media Analytics for Branding

Leverage Excel for data extraction, cleaning, and analysis of social media metrics to uncover brand insights and optimize marketing strategies.

  • Navigating Through the Interface
  • Exploring the Query Editor
  • Data Transformation Basics
  • Data Model Base
  • Modify the Data Look
  • Create Relationships
  • Deep Diving into the Editor
  • Something More than Visuals
  • Levelling Up with Data Transformation
  • Levelling Up with Visualization
  • Basic Dax
  • Advanced Dax and Using Chatgpt in Dax
Working on The Cloud
Project: Retail Customer Retention Analytics

Design interactive Power BI dashboard to analyze customer journey, purchase patterns, and retention trends. Implement data modeling, DAX, and dynamic visuals.

  • Understanding the Need of SQL and Database
  • SQL Theory
  • Basic Database Terminology
  • Important Rules to Start Coding
  • Selecting and Filtering Right Data
  • Fetching Right Data in Right Sequence
  • Manipulating Data with Coding
  • Connecting Data from Multiple Files
  • Reusing SQL Code and Labeling Data
  • Generating Result in More Detail
Project: Logistics Optimization for Delivery Routes

Analyze logistic operations using SQL to identify delays, optimize delivery routes, and improve shipment efficiency for data-driven performance analysis.

  • What is Python?
  • Basic Essentials
  • Understanding Basic Operations
  • Code with Conditions- Part 1
  • Code with Conditions- Part 2
  • Types of Data Sequence
  • Designing Dynamic Codes
  • Work with Objects and Errors
  • Work with Files and Its Types
Python Libraries
  • Basic Terminology
  • Types of Data
  • Measures of Central Tendency
  • Measures of Dispersion
  • Basics of Inferential Statistics
  • Hyphothesis Testing
Project: Financial Risk Analysis with Python

Assess financial risks using Python by analyzing investment fluctuations, estimating potential losses, and evaluating portfolio performance in challenging market scenarios.

  • Learn the Basics
  • Uses of Machine Learning
  • Regression Models
  • Classification Models
  • Introduction to Unsupervised Machine Learning
  • Clustering
Project: Data Driven Customer Segmentation

Conduct Market Basket Analysis using Python by applying clustering algorithms to e-commerce data, using tools like pandas, NumPy, and scikit-learn.

  • Basics of NLP
  • Text Basics
  • Text Classification
  • Basics of Deep Learning
  • Neural Network
  • Understanding Recurrent Neural Networks
Project: Customer Sentiment Analysis

Build a sentiment analysis model and use Python packages for web scraping, data preprocessing, and transformation.Visualise customer satisfaction insights and sentiment patterns using Power BI.

Live Placement Bootcamp

NEW
6 Placement-Ready Exercises

Full Course Revision with Doubt Solving

Bonus Study Material

Data science interview simulation

10 Live Case Studies

50+ Guesstimates

50+ Practice Questions

After completing a course, you can download its videos for future reference.

Get ahead in your career by learning top AI tools

ChatGPT & Gemini to explore datasets, analyse data, generate code, and develop models

Debugcode.ai to solve any coding problem within seconds

Skills and tools you will learn

Python

Power BI

MySQL

Data Analysis

Machine Learning

Excel

Latest gen AI tools

ChatGPT

Course fees

₹34,999
40,000
Valid till today
No-cost EMI options available
starting at just ₹2,917 per month
Course fee refund if not placed!
*T&C apply
Rupee

Data Science Placement Course with AI Overview

 

Did you know that the global data analytics market, worth $41.05 billion in 2022, is expected to grow to $279.31 billion by 2030 with a stunning 27.3% annual growth? This massive expansion means more opportunities for skilled data scientists, as top companies like Facebook, Instagram, and Twitter (X) rely on experts to analyze and interpret vast amounts of data.

 

If you aspire to be one of these in-demand professionals, Internshala’s data science placement course with AI is the perfect choice. This comprehensive course not only equips you with essential data science skills but also offers a placement and certification to prepare you for a promising career.

 

Unlock Your Data Science Career with Internshala’s All-in-One Training Program

 

Ready to kick-start your data science career and land your dream job? Internshala’s comprehensive training program offers everything you need to succeed in this high-demand field. Here's why this course is perfect for you:

  • No Prior Experience Needed: Whether you're a beginner or looking to switch careers, this course is designed for all skill levels.
  • Recognized Certifications: Earn government-approved and industry-recognized certificates to add credibility to your resume.
  • Career Guidance & Opportunities: Get support with internships and job placements, tailored to your career goals.
  • Real-World Projects: Gain practical experience by working on industry-level projects that boost your confidence and skills.
  • High Salary Potential: With the right expertise, you can earn a competitive salary ranging from ₹12.7 LPA to ₹25 LPA.
  • Dual Certification: Receive an Internshala training certificate along with a National Skill Development Corporation (NSDC) & Skill India certification.

 

Syllabus Overview

 

The data science course with placement offers a comprehensive curriculum designed to build a strong foundation in data analytics and advanced technologies. This course covers essential tools and techniques, including Excel, Power BI, SQL, Python, machine learning, natural language processing (NLP), and deep learning.

 

The curriculum is structured to provide a blend of theoretical knowledge and practical experience, preparing you for real-world challenges in the data science field. Each module is carefully designed to enhance your analytical skills and technical expertise, ensuring you become a competent data science professional.

 

Here’s an overview of the Data Science course syllabus:

 

1. Introduction to Data Analytics

 

  • The course will begin with an introduction to analytics. You will start by gaining a basic understanding of data analytics.
  • Next, you will learn about dealing with data in different phases using industry-standard tools like CRISP-DM and various analytical tools. 
  • The first section will conclude with an interesting project wherein you will leverage J.P. Morgan’s Data Analytical Framework to classify legal documents. 

 

2. Data Management and Analysis with MS Excel

 

  • After successful completion of the first section, this data science online course with placement will help you learn the basics of Excel. 
  • You will also learn how to navigate the tool, tips and tricks, functions and formulas, and different techniques to summarize and analyze data. This includes pivot tables, charts, conditional formatting, data validation, tables, and Power Tools. 
  • Lastly, you will get to explore automation with Excel using Macro and VBA. The section will end with a professional project where you will leverage Excel for data extraction, cleaning, and analysis of social media metrics to uncover brand insights and optimize marketing strategies.

 

3. Data Visualization with Power BI

 

  • The third part of the course focuses on data visualization with Power BI. The section begins by giving a basic understanding of Power BI’s interface and Query Editor. 
  • Next, the course will discuss how to prepare, model, manipulate, and visualize data. Additionally, you will get to dive deeper into the topic by learning about advanced data transformation and visualization.
  • This section will also help you understand the basics of DAX and how to use ChatGPT in DAX. 
  • Once you are comfortable with these diverse topics, you will get to explore Power BI Service, learn how to connect the data sources to the Cloud, and the fundamentals of data security on the Cloud. 
  • Finally, you will get to practice the learnings of this section by working on an exciting project about designing an interactive Power BI dashboard to analyse customer journey, purchase patterns, and retention trends. Implement data modeling, DAX, and dynamic visuals.

 

4. SQL for Data Analysis and Insights

 

  • The fourth section of the data science placement program with AI teaches the fundamentals of databases and SQL. It will help you understand basic, intermediate, and advanced SQL concepts. You will learn the important rules to start coding, how to select and filter the right data, and how to retrieve data in the right sequence.
  • After learning the basics, the intermediate section of SQL will help you learn how to manipulate data with coding and connect it to multiple files. 
  • Lastly, advanced SQL topics will include reusing SQL code, labeling data, and generating detailed results. 
  • This section will conclude with a project exploring how to optimize logistics for delivery routes. You will conduct a comprehensive analysis of logistic operations using SQL to identify delays, optimise delivery routes, and improve shipment efficiency for data-driven performance analysis.

 

5. Python Data Preparation & Analysis

 

  • In the fifth part of this course, you will learn the basics of Python. The section will familiarize you with flow control, data structures, functions, objects and errors, Python libraries, etc. 
  • You will also be introduced to statistics, including basic terminology, types of data, measures of centralized values, inferential statistics, and hypothesis testing. 
  • For this section, you will get the opportunity to work on a project where you will get to assess financial risks using Python by analyzing investment fluctuations, estimating potential losses, and evaluating portfolio performance in challenging market scenarios..

 

6. Data-Driven- Machine Learning

 

  • Section six of the data science online course with placement explores machine learning and its uses. You will learn about supervised machine learning with regression and classification models and unsupervised learning with clustering. 
  • This section concludes with a hands-on project wherein you will build data-driven customer segmentation by conducting market Basket Analysis using Python by applying clustering algorithms to e-commerce data, using tools like pandas, NumPy, and scikit-learn.

 

7. NLP Essentials: Applications to Real-World Problems

 

  • The seventh section of this course teaches the basic and advanced concepts of natural language processing. You will learn text basics, text classification, and topic modeling.
  • This section also covers an interesting project on text intelligence, divided into two parts. In the first part of the project, you will get the opportunity to analyze and predict the sentiment of movie reviews from the IMDb dataset. In the second part, you will get hands-on experience on how to classify news articles into different categories.

 

8. Deep Learning Mastery: Data-Intensive

 

  • The last part of the course will help you understand the basics of deep learning from neural networks to RNN.
  • This section also covers an interesting project on customer sentiment analysis where you build a sentiment analysis model and use Python packages for web scraping, data preprocessing, and transformation. Visualise customer satisfaction insights and sentiment patterns using Power BI.

 

Get Placement-Ready with Live Placement Bootcamps!

 

The course comes with a live placement boot camp for all its students. You will participate in 6 unique activities to get placement-ready. These activities include:

  • Full course revision with doubt-solving sessions
  • Bonus study material
  • Data science interview simulation
  • 10 live case studies
  • 50+ guesstimates
  • 50+ practice questions, & more!

 

Why Should You Enroll in Internshala’s Data Science Placement Course with AI?

 

Internshala’s data science placement course with AI is designed to help you develop the necessary skills required for a successful career in the data science field. Here's why this course is a great choice for you:

 

  • Comprehensive Curriculum: Master the basics of data science, including data analytics, SQL, and Python, while also gaining hands-on experience with tools like Power BI and natural language processing.
  • Industry-Relevant Expertise: Stay ahead of industry trends by learning advanced concepts in machine learning, natural language processing, and AI tools like ChatGPT.
  • Expert Guidance: Receive mentorship from experienced professionals who will offer valuable insights and support throughout your learning journey.
  • Flexible Learning: Take advantage of 100% online classes that allow you to study at your own pace, fitting learning around your schedule.
  • Diverse Job Opportunities: With a solid understanding of data science and analytics, you’ll be well-equipped for exciting job prospects in this fast-growing industry.

 

FAQs

  • Eligibility & Application
  • Program prerequisites
  • Payment
  • Start date & duration
  • Placement & Refund Terms
  • Orientation and Onboarding
  • Learning Journey
  • Evaluation parameters and Graduation criteria
  • Certifications
  • Bootcamp Sessions
  • AI tools
  • Need Further Assistance?
The Placement course program is meant for pre-final and final year students, recent graduates, and young professionals who wish to build a career in Data Science. You should also be authorized and available to work in India upon completion of the course if you wish to avail of the internship placement benefits.
Yes, if you have decided to make a career in data science and are ready to put in the required time and effort to complete the program, you can still apply and we will evaluate your application based on its quality. You would be able to apply to the short term or work from home internships that are published on Internshala.
Yes, you can. However, please note that the placement opportunities that we would be curating for the students of the Placement course would be those of internships and the same will be made available to you too. Different companies may factor in your prior work experience in their hiring decisions differently and it will be at the sole discretion of the companies.
To reserve your seat in advance, simply pay a booking amount of ₹ 1,999 which will be adjusted toward your course fee upon enrollment. If our counsellors find your profile to be unfit, the amount will be refunded; however, if you choose to withdraw, this amount will be non-refundable.
The application form would consist of questions on your education, your motivation to build a career in data science, and questions to test your communication skills.
Your application would be evaluated on the basis of your written communication skills in this data science Placement Course.
No, you can not.
You can. However, it is recommended that you speak to us first to understand shortcomings in your previous application before deciding to re-apply.
Yes, Internshala provides placement courses in the Data Science domain. The Data Science Placement Course follows an industry-focused curriculum. It covers modules like the basics of Analytics, Excel, SQL, Power BI , Python, Machine Learning, NLP, Deep Learning and more, designed to strengthen the practical skills of the participants.Internshala also offers a Business Analyst Course with Placement and a Data Analyst Course with Placement - both of these courses are related to the data science domain.
You can watch the videos and take quizzes & tests on any device including mobile. However, for assignments and projects, use of a windows desktop or laptop with MS office access will be needed and hence it is advised that you do this data science course on a windows laptop or desktop with MS office.
You could try making the payment from a different card or account (of a friend or family). Otherwise, you can follow the instructions on how to make an offline payment here
You can pay the Placement course fee online using any of the following payment methods - debit card, credit card, netbanking, UPI, and wallets. You will receive the link to make the payment once your application is successful.
Just let us know your registered email id along with the screenshot of the payment receipt or transaction history. You can submit your request using the "Need further assistance?" section. Once verified, the additional amount you paid will be refunded.
Depending on your payment method, you can opt for no cost EMI where a certain amount will be deducted from your account every month over a period of EMI duration that you choose. Please note that the no-cost EMI is available only select payment methods that you can see here.
The amount deducted will come back to your account within 7-10 working days. This is the normal duration your bank will take to credit the amount back into your account.
If you choose to pay via EMI, a certain amount will be deducted from your account every month. For example, if the total program fee (including taxes) is Rs. 100 and you choose to pay via 12 months EMI then you will be charged Rs. 8.33 (100/12) every month. Since these are no cost EMIs, you don’t need to pay anything extra as interest or processing fee. The total program fee you would pay over the duration of the EMI will remain the same as it would have been if you paid all of it upfront.
At times, there may be a slight delay in your payment reflecting on your Internshala Trainings dashboard. However, if your payment is not reflecting even after 30 minutes, please let us know your registered email id along with the screenshot of the payment receipt or transaction history. You can submit your request using the "Need further assistance?" section. Once verified, we will update your payment status from the backend.
No, you cannot cancel or stop the EMIs at a later date since your bank would have already paid the entire course fee on your behalf to Internshala. If your EMI is through one of our loan partners and you wish to make any modifications, please write to pgc.support@internshala.com. Please note that the cancellation fee for EMIs through our loan partners is Rs. 1500/-.
Please write to us on jos@internshala.com with details and we would be happy to help.
Once a user has made the payment, no refund/cancellation would be permitted after payment. To claim a refund under the placement clause, please refer to the Placement & Refund Terms in the FAQ.
At the time of making the payment, you will have the option to choose your preferred batch start date.
You need to complete the Data Science Placement Course within 6 months from your chosen batch start date. If you spend -2 hours every day, you should be able to complete the course comfortably in 6 months including all the projects, tests, vivas etc.
If you are not able to complete the placement course in 6 months due to any unforeseen reasons, you will be able to get an extension of 2 weeks on paying Rs. 4999 or an extension of 1 month on paying Rs. 7999.
Yes, you can. Just choose a suitable later date batch while making the payment. If a suitable date is not available, please write to us at pgc.support@internshala.com so that we can help you with it.
Any job placement, internship with a PPO or an Internship placement through Internshala portal, through exclusive opportunities (sourced for the learners of this course by Internshala) or through your own efforts in Data Science or any other profile within 6 months of graduating from the program, is defined as a placement under this program.

Internshala conducts placement preparation sessions that run along with your course journey. These are live sessions designed to help you prepare for interviews, whose recordings will also be provided in your learner's dashboard.

They include training on:

  1. Placement orientation
  2. Communication skills
  3. LinkedIn profile optimization
  4. Resume and cover letter building
  5. Interview Preparation
  6. Mock preparatory sessions

In addition, we conduct company specific sessions which are mandatory for all the students -

  1. JD alignment
  2. 1:1 resume vetting
  3. Mock PI session

Please make sure to:

  1. Complete the course within the given course duration
  2. Maintain an aggregate score of 75 percent in your course
  3. Pay all your course fees on time
  4. Maintain 75% attendance in all live sessions
  5. Attend all Vivas and Project evaluation sessions as they are part of evaluation metric
  6. Attend all placement preparation sessions
  7. Follow the learner's honor code -
    1. Don't Copy
    2. Be respectful to others
    3. Don't Cheat
    4. Utilise the learning material ethically

To perform well and secure offer under the placement program, please follow these important guidelines:

  1. Apply in all exclusive opportunities provided by Internshala's team.
  2. Maintain a healthy application rate of 7 per week on Internshala's portal to maximize your chances to secure a placement.
  3. Attend all placement preparation sessions (common or company specific) as described above.
  4. Submit all the assignment given by any company completely and in timely manner.

During the interview with any employer -

  1. Dress professionally, even for online interviews – first impressions matter.
  2. If attending online, sit in a quiet place with a clean, well-lit background and no distractions.
  3. Make sure your internet connection, camera, and mic are working properly.
  4. Join the interview at least 5–10 minutes early to avoid last-minute delays.
  5. Be polite, confident, and respectful throughout the interview.
  6. Keep your resume and other documents ready in advance.
  7. Research the company and job role before the interview.
  8. Practice common interview questions and prepare to discuss your projects or coursework clearly.
  9. Do not skip or cancel interviews without prior approval from Internshala.

After securing a successful placement,

  1. Do not decline the offer without Internshala’s prior approval
While you can get apply to opportunities as per your preference, Internshala doesn't assure any specific placement as per this criteria. You are expected to be open to and apply to all Data Science opportunities that Internshala make available to you.
From the placement, you can expect a total stipend/earning of ₹40,000. If your total stipend/earning is less than ₹40,000 total, Internshala will refund the difference. Example: If your internship's total stipend is ₹30,000, then Internshala will refund ₹10,000 (₹40,000 - ₹30,000).

If you are unable to secure a internship or placement within 6 months of completing the Data Science Course, and you have met all the eligibility criteria mentioned in the guidelines, you can apply for a refund of your course fee.

To reiterate, to be eligible for the fee refund, you must :

  1. Complete the course within the given course duration
  2. Maintain an aggregate score of 75 percent in your course
  3. Pay all your course fees on time
  4. Maintain 75% attendance in all live sessions
  5. Attend all Vivas and Project evaluation sessions as they are part of evaluation metric
  6. Attend all placement preparation sessions
  7. Follow the learner's honor code -
    1. Don't Copy
    2. be respectful to others
    3. Don't Cheat
    4. Utilise the learning material ethically
  8. Apply regularly to relevant opportunities through Internshala and PGC Exclusive listings and maintain atleast 7 applications per week on Internshala's portal
  9. Follow all the guidelines mentioned above to secure a placement befoe the start of, during and after the placement process.
Yes, you can avail duration extension by paying the extension fee and your fee refund eligiblity stays intact upto 1 such extension (provided you meet all other criteria). Incase of further extensions, you will recieve the placement support but you will not be eligible for fee refund.
Yes, you will receive the same placement support as described above. However, you will not be eligible for fee refund.
Yes, you will receive the same placement support as described above. However, you will not be eligible for fee refund.

If you meet all the refund eligibility criterias (as described above) and haven’t received a placement within 6 months of completing the Data Science Placement Course, follow these steps to apply for a refund:

  1. Write an email to pgc.support@internshala.com within 30 days after your 6-month period ends
  2. Internshala will schedule a meeting to verify your eligibility
  3. If you meet all the conditions, you will be asked to submit the following documents:
    • Bank account details
    • Course completion certificate
    • Cancelled Cheque
  4. Once the documents are verified, the refund processed to your account within 30 days.
  5. Total amount of refund will be the net fee received by Internshala.

Please note that any refund request after the 30 days deadline will not be accepted.

For placement and preparation-related queries, write to us at pgc.placement@internshala.com, and the team will connect with you within 2 business days.
Yes, there will be a dedicated point of contact who will support you throughout your course by helping you with non-academic queries. We call this mentor the “Course Manager”, and they will be there to guide and assist you throughout your learning journey. Course manager will be working from Monday to Friday - 10 AM till 6PM. If you call outside the work timings, you can expect a call back on the next working day.
This will be the first session in your learning journey. It is conducted by the Course Manager, where you'll be introduced to the LMS, guided on how to approach your learning, and given an overview of the course structure, marks split across various parameters, honour code, graduation criteria, and more. This session will be conducted within 2 days of your batch start date. Attendance in this session is mandatory.
Once you enroll in the course, you will get access to our portal. Upon logging in and accepting the terms and conditions, you will be required to enter your details such as your name, work experience, college degree, etc. This step is mandatory.
Once you fill out the onboarding form, you will be required to submit a short video introducing yourself. This video must be recorded entirely in English. We will use it to evaluate your communication skills and to design soft skill training sessions best suitable for you.
The Placement course consists of 8 video-based courses that you would complete one after another. The videos are pre-recorded so you can watch them anytime of the day as convenient to you. The courses also consist of exercises, quizzes, tests, and projects that you will undergo as you learn. Along with this we provide dedicated online live classes which will be in sync with your pre recorded content learning journey. You have to watch the eligible videos from the pre recorded content to properly understand the things taught in live class. We will provide you the names of pre recorded videos to be watched for every live class when you start your course.
Live sessions mostly happens after 7 pm on weekdays or after 5 pm on weekends.
Yes, as learning happens through pre-recorded content and live class, we strongly encourage you to attend all the live classes. This will also give you an opportunity to get your doubts cleared instantly in the session.
We understand the time constraint that you are facing. In such cases, we request you to drop an email to pgc.support@internshala.com stating the reason because of which you cannot attend the live session. Make sure you watch the recording of the live session as soon as possible.
Live sessions are scheduled through google meet. You will get the session invite in your google calendar or registered mail id and also in our portal. Make sure you join the classes through your registered mail id to get attendance.
<\p>We resolve doubts though the following medium.<\p>
  1. There will be dedicated doubt clearing sessions as per requirement. There may be a maximum of 3 to 4 such sessions in month.<\li>
  2. We have a community in discord where you can ask your doubts and get it cleared.<\li>
  3. You can email pgc.support@internshala.com with your queries.<\li>
  4. Post enrollment, you will be provided with the number of your course manager. You may call that number from 10 AM till 6 PM on weekdays.<\li> <\ol>
While there are pre-recorded videos that you can watch at your own convenience, we also conduct live classes as per a fixed schedule. Even if you are able to cover the recorded content before the course deadline, we highly recommend following the planned schedule to keep the pace with the course.
Both the recording and attendance detail of a session will be updated in the portal within 2 working days.
Yes, the entire placement course is divided into different child courses. Each child course will cover a major area of the course. Every child course is further divided into modules and every module has topics.
After every topic, we have questions for you to practise writing subjective answers. This is made possible through an AI tool called Claude.AI. This will hep you practise the concepts that you have learned in that topic.
After every module, there are tests for you to take. This will let you understand where you are standing with respect to the content covered in that module. You will also get to attempt quizzes after watching a few videos.
Once you finish a child course, you have to take a test where you can expect questions from everything taught in that child course (pre recorded + live classes). This test will be time bound and it is mandatory for you to take this test to move to the next child course. You also need to score more than 50% in a final test of a child course to move to the next child course. If you score less than 50%, you will have to pay 999 INR to reattempt the test.
Once you complete a child course, you will be required to take a mock VIVA. This VIVA is powered by Artificial intelligence. This test is mandatory and is designed to help you simulate and practice real-life interview scenarios. You will receive detailed feedback after each attempt, and you can take the test as many times as needed.
Yes, there are 6 projects in total, and all of them are mandatory. These projects are designed to help you practice and solve real-life industry problems. We conduct a plagiarism check on every project you submit to ensure the authenticity of your work.
No, we do not encourage students to resubmit a project after submission. Please ensure you thoroughly read the problem statement and submit your project carefully.
During the Placement course, there will be 2 online viva (video call) that you are required to attend. The two viva are the mid-term viva and the final viva. The mid-term viva will be held after completing Course 4, which is the middle point of your 6-month course, and the final viva will be taken once all the courses and modules are completed, including the submission of all the mandatory projects. In the viva, you will be asked questions based on concepts taught in the Placement Course and the projects you will work on.
We do not recommend rescheduling your VIVA because you have selected the slot as per your availability for the first time. However, if necessary, you can write to pgc.support@internshala.com to request a reschedule. Please note that a rescheduling fee of ₹999 will apply.
There are two vivas: the Mid-Term Viva and the Final Viva. For both, you will first take a proctored test on the DoSelect platform, followed by booking a one-on-one viva session with the instructor.
Proctoring uses your computer’s camera and microphone to monitor you during the test, ensuring that you follow the rules and don't use any unauthorized assistance.
The DoSelect test will include practice questions and coding challenges that must be completed in a proctored environment.

The total marks in the Placement Course will be 3000 as per table below. You need to score a min. 75% marks (2250) to graduate from the Placement course and get your certificate.

Course Final Test Marks (A) Course Project Marks (B)
Introduction to Data Analytics 30 -
Data Management and Analysis with MS Excel 90 100
Data Visualization with Power BI 90 100
SQL for Data Analysis and Insights 100 100
Python Data Preparation & Analysis 120 100
Data Driven- Machine Learning 100 100
NLP Essentials: Applications to Real-World Problems 30 -
Deep Learning Mastery: Data-Intensive 40 -
Final Capstone Project 400
Total Course Marks 600 900
Mid Term Viva (C) 400
Mid term DoSelect (D) 200
End-term Viva (E) 600
End-Term DoSelect (F) 300
Aggregate marks (A+B+C+D+E+F) 3000
You must complete the entire course including watching all content, attempting final tests, submitting projects, and appearing for the final VIVA, before your course deadline.
You will have access to Internshala portal for 6 more months once your course completes. Post this your access will be revoked. You can download all the pre recorded content from our portal. Live sessions will be available in your google calendar of registered mail id.

We understand that challenges can come up while pursuing your course, whether it's with the content, schedule, or time availability. Depending on your situation, here's what you can do:

  • If you're finding the course concepts difficult to understand, you can request a Course Change within the first 15 days of your batch start date. This allows you to switch to another Placement Course once, as per our Course Change Policy.
  • If you're unable to attend classes as per your current schedule, you can request a Batch Change any time before your course end date. The applicable fee will depend on when you make the request, as outlined in our Batch Change Policy.
  • If you need to temporarily pause your learning due to personal reasons (like exams, travel, or health), you can opt for a Course Pause for up to 60 days. Learn more in our Course Pause Policy.
  • If your course has already ended and you wish to rejoin, you can renew your access through our Course Renewal process, which gives you access to the latest course version and placement support. For more details, kindly check our Course Renewal Policy.

Each of these options has its own timeline, eligibility, and fee details. We recommend reviewing each policy document thoroughly before submitting your request.

You will be evaluated upon your performance on final tests, Projects, Assignments, Doselect exam and VIVA(s).
Those who meet all these criteria will graduate from the course.
Criteria are:
  1. Score atleast 75% aggregate marks
  2. Score 50% or more in all final tests
  3. Submit all mandatory assignments and Projects
  4. Score atleast 50% in VIVA(s)
  5. Should not take more than one paid extension and 1 retest of a final test.

Kindly note that if you do not graduate from the program, your eligibility for a refund under non-placement from the course will be revoked. We will still provide placement assistance to you.
Upon successful completion of the Placement course, you will receive a Data Science Placement course certificate from Internshala Trainings and Analytics Vidhya.
Every student who completes the course within the stipulated timeline will get both the certificates.
To be eligible for NSDC & Skill India certificate, you need to fill in the required additional information including your salutation, date of birth and father's name within 3 days of enrollment. This form will open when you log in to your account. You will also need to complete your final test by the original course end date and score greater than 50% marks in the final test of each course, submit all mandatory milestones (projects, certificates), and complete viva and overall final test before the end date. Please also note that the partnership came to effect on 8th May so only trainings purchased on or after 8th May '23 are eligible for the certificate.
Yes, once you complete a child course you will get a completion certificate of that child course.
For example if SQL, PowerBI and Python are different child courses, once you complete SQL, you will get completion certificate of SQL.
These are special types of sessions focused mainly on interview preparation. You will get to work on real life case studies and do mock interviews with instructors.
These sessions will be spread across your learning journey. Your course manager will inform you the schedule during the orientation session.
Yes, bootcamp sessions are mandatory to attend.
You will upskill with 3 in-demand AI tools: ChatGPT, Gemini, and Debugcode.ai.
Your course instructor will conduct live sessions for you to learn and ask your doubts about the AI tools.
Free versions of these tools are available so no subscription is required.
No prior knowledge is required. We will start with the basics.
With the help of AI, data scientists can easily study complex data to derive insights and make predictions. Further, they can utilize AI for data visualization and make the data easier to understand. Some of the tools that data scientists can rely on include ChatGPT, Gemini, and Debugcode.ai.
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