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Reviews from placed students

AVERAGE RATING
4.5

Abhishek Patil

₹ 30K/month salary

Junior data analyst, Ven Analytics

Raj Kumar Ojha

Business Analyst, Aurochs Solutions PVT LTD

Khush Vijaybhai

₹ 40K/month salary

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

Play

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

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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 Analyst Placement Course? Reach out to our counsellors by filling this form.

Top companies hiring on Internshala

45,506

Data Analyst internships

₹50,000/month

Highest stipend offered

6,884

Internships with PPO

₹ 11LPA

Highest salary offered post internship

Learn from Top Industry Experts

Arpit Sharma

Ex - PayPal

Uddipta

Ex - Indigo, Vistara

Rahul Pareek

Ex - HCLTech, GlobalLogic

Samraat Pattanayak

AI & Analytics , Cognizant

Priya

Instructor

Kumar Shikar

Data Science Trainer

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 guaranteed 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 Analyst

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 Analyst 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 Analyst Placement Course Curriculum

Course updated in Apr'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 Strategic Branding

Leverage Excel for data extraction, cleaning, and analysis of social media metrics to uncover brand insights and optimize marketing strategies.
Brands you will work on: Apple, Tesla, Spotify, Amazon, and Pepsico.

  • 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 an interactive Power BI dashboard to analyze customer journey, purchase patterns, and retention trends. Implement data modeling, DAX, and dynamic visuals to uncover insights that drive business strategy.
Brands you will work on: Starbucks, Netflix, Adidas, Tesco, Walmart, and Target.

  • 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.
Brands you will work on: Amazon, Flipkart, Delta Airlines, FedEx, and Uber.

  • 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.
Brands you will work on: Goldman Sachs, Barclays, J.P. Morgan Chase, and BlackRock.

  • 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 by analyzing customer purchasing patterns using Python by applying clustering algorithms to e-commerce data, using tools like pandas, NumPy, and scikit-learn to support personalized recommendations, product bundling, and strategic marketing.
Brands you will work on: Amazon, Flipkart, Myntra, Target, Walmart, and FedEx.

  • Basics of NLP
  • Text Basics
  • Text Classification
  • Basics of Deep Learning
  • Neural Network
  • Understanding Recurrent Neural Networks
Project: Customer Sentiment Analysis via Web-Scraped Data

Build a sentiment analysis model in Python to analyze web-scraped data from product or service websites. Use Python packages for web scraping, data preprocessing, and transformation, and create an interactive Power BI dashboard to showcase customer satisfaction insights and sentiment patterns.

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
50,000
Valid till today
No-cost EMI options available
starting at just ₹2,917 per month
100% refund if not hired!
*T&C apply
Rupee

Data Analyst Course with Placement Overview

 

Recent studies predict a 200% increase in recruitment for data analytics jobs in India. The information technology, consulting, automotive, banking, and financial services sectors will spearhead this recruitment drive. If you're looking to build a career in this domain, enroll in Internshala's data analyst course with placement today! 

 

Upgrade Your Skill Set & Become a Pro in Just 6 Months

Start your journey to success and become a pro data analyst with Internshala's comprehensive, government-certified data analyst placement course. 

  • Access 200+ hours of 8 comprehensive courses, 7 projects, and 15 practical assignments
  • Get certified by NSDC, Skill India, & Internshala Trainings 
  • Learn AI tools like ChatGPT, Gemini, and Debugcode.ai
  • Secure your career with placement assistance 

 

 Overview of the Data Analyst Course with Placement and Certification

Internshala’s data analyst course with job assistance begins with foundational concepts in data analytics. It then moves on to key concepts including data management, data visualization, SQL, and Python programming. It also introduces machine learning, Natural Language Processing (NLP), and deep learning concepts.

 

Throughout the course, you will work on a series of projects. In addition, you will master three AI tools for data analysis namely ChatGPT, Gemini, and Debugcode.ai. By the end of the program, you will gain a well-rounded skill set in data analytics and you will be ready to get hired by the best companies in the industry.

 

Data Analyst Course Online with Placement - Syllabus Outline

Internshala’s data analyst job assistance and certification program provides theoretical and practical learning that will prepare you to become a professional data analyst. Here is a detailed outline of the course syllabus:

 

1. Introduction to Data Analytics

 

  • The data analytics course with placement begins with an introduction to analytics and the different varieties of data. You will also learn about extracting data using industry standards like CRISP-DM and analytical tools.
  • You will also work on a project wherein you will create analytics to study the legal documents of JP Morgan. You will leverage the company’s data analytics framework to study these documents.

 

2. Data Management and Analysis with MS Excel

 

  • In this section of the course, you will build a foundation in Excel. You will learn about operators and functions.
  • Additionally, you will understand how to analyze and summarize data with what-if analysis, pivot table analysis, and charts.
  • The next module will familiarize you with more features in Excel, such as conditional formatting, data validation, tables, and power tools. The following module will help you understand how to automate Excel concepts like macro and VBA. 
  • In the last module, you will work on a project wherein you will conduct data analysis for KPMG using Excel. This will help you understand the process of data collection, cleaning, analysis, visualization, and insights extraction.

 

3. Data Visualization with Power BI

 

  • The first module will provide you with a basic understanding of Power BI. You will learn about the interface and query editor in Power BI.
  • The second module will discuss data preparation and data model fundamentals. You will explore data transformation basics and data model bases in this module.
  • The third module assists you in learning about data manipulation and creating models and visualizations. You will learn how to modify the look of the data.
  • In the fourth and fifth modules, you will learn about intermediate and advanced data transformation and visualization.
  • The sixth module will focus on teaching you basic and advanced Dax. It will also teach you how to use ChatGPT in Dax. 
  • Once you are familiar with these topics, you will delve into Power BI Service, learning how to connect data sources to the cloud and understanding the fundamentals of cloud data security.
  • In this section, you will also work on a project involving airline performance analysis using Power BI.

 

4. SQL for Data Analysis and Insights

 

  • This section of the data analytics course with job assistance introduces you to databases and SQL. You will learn why SQL and databases are required, SQL theory, and basic database terminology.
  • The next module discusses important rules of SQL coding. This is followed by a module on intermediate SQL where you will learn how to manipulate data using codes.
  • The final module of this section explores advanced SQL. You will learn to reuse SQL code, label data, and generate results. 
  • For the project, you will work on a Walmart case study where you will perform a comprehensive data analysis to optimize retail insights.

 

5. Python Data Preparation & Analysis

 

  • This section of the data analytics job assistance training program begins with an introduction to Python. You will learn basic concepts and operations. This is followed by a module on flow control where you will learn how to code with conditions.
  • The third module explores data structures and functions. You will discover types of data sequences and how to design dynamic codes.
  • The fourth module discusses error and file handling. You will understand how to work with objects, files, and their types.
  • The next module uncovers Python libraries to operate, analyze, and visualize data. The module after this provides an introduction to statistics. You will learn the basic terminology and types of data in this module.
  • The module focuses on methods to find centralized values and explores measures of central tendency and dispersion. This is followed by a module on inferential statistics where you will also learn about hypothesis testing.
  • Lastly, you will work on a project to analyze the electric vehicle market size using Python.

 

6. Data Driven-Machine Learning

 

  • The section begins with an introduction to machine learning, its basic concepts, and its uses. 
  • You will progress further to learn supervised (regression and classification models) and unsupervised machine learning (clustering).
  • This section also includes two hands-on projects. In the first project, you will develop data-driven solutions for Airbnb. You will learn to predict the price of Airbnb listings using regression techniques.
  • Additionally, in the second project, you will learn how to predict customer churn in the telecom industry.

 

7. NLP Essentials: Applications to Real-World Problems

 

  • In this section of the data analytics course with placement, you will be introduced to natural language processing. 
  • You will learn the basics of NLP, text basics, text classification, and topic modeling.
  • At the end of the module, you will work on a project on text intelligence. You will analyze and predict the sentiment of movie reviews from the IMDb dataset and classify news articles into different categories.

 

8. Deep Learning Mastery: Data-Intensive

  • The final section of the data analyst job assistance training program introduces deep learning to the learners. You will learn about neural networks, CNN, and RNN.

 

Career Paths to Pursue After Completing the Data Analyst Placement Course

The job assistance data analyst course opens the door to several employment opportunities for the learners. You can explore the following popular analytics jobs after completing this data analyst placement course:

  • Data Analyst: This is the ideal role for individuals who want to create and maintain in-depth, interactive visualizations through data interpretation and analysis.
  • Data Scientist: A data scientist is a professional who analyzes complex data to extract insights and make informed decisions, using statistical methods and programming skills. 
  • Business Scientist: A business scientist applies analytical and scientific methods to solve business problems and optimize strategies for growth and efficiency.
  • Power BI Developer: A Power BI developer creates business intelligence solutions using Microsoft Power BI. They design and develop data models, reports, and dashboards that help organizations visualize their data and gain insights.

 

Enhance Your Data Analysis Skills with Internshala 

Employers seek data analysts with the right technical skills and proficiency in the latest technologies. Master these top skills with our data analytics training and placement course:

  • Learn AI Tools: Learn the most popular AI tools, ChatGPT, Gemini, and Debugcode.ai, under expert guidance. 
  • Master Data Analysis Tools: Gain proficiency in Python, MySQL, Power BI, and Excel to perform different data creation and manipulation functions with ease.

 

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

Here are the top reasons why you should pursue the data analyst course online with placement through Internshala:

  • Get Industry-Recognized Certifications: Acquire industry-recognized and government-approved certifications like the Internshala Trainings certificate and NSDC & Skill India certificate with placement assistance courses.
  • Become a Pro: Become a professional data analyst in just 6 months!
  • Placement Assistance: Get placement assistance with Internshala’s data analyst course and certification.
  • Explore Internship Opportunities: Access more than 45K data analyst internship opportunities and 6K internships with pre-placement offers after completing the data analysis training course.
  • Earn High Stipends: Unlock the potential to earn a lucrative salary of ₹50K per month.
  • Hone Your Skills & Get Hired: Ace your placements with top-tier soft skills training, resume building, mock interview guides, and live boot camps.
  • Master AI Tools: Gain expertise in the most popular AI tools, including ChatGPT, Gemini, and Debugcode.ai.

FAQs

  • Training Specific
  • Eligibility & Application
  • Program prerequisites
  • Payment
  • Start date & duration
  • Internship Placement Program
  • Certifications
  • Course
  • Bootcamp
  • AI tools
  • Need Further Assistance?

A Data Analyst is a professional who transforms raw data into meaningful insights using analytical tools and software. They present their findings in an easy-to-understand format and help companies understand their current and future business trajectories and make informed decisions.


If you are interested in pursuing a career as a data analyst, you can consider taking a data analytics course with placement. By acquiring the necessary skills, you can embark on a promising career path in the data analysis field.

To become a data analyst, you need to acquire the following qualifications and skills.


  • Educational Qualifications:
    1. A Bachelor’s/ Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
    2. Certification in a data science course with placement.
  • Knowledge of Database Management Tools: You need to have knowledge of performing SQL queries to work with large databases. Learn how to use MS Excel formulas and gain an understanding of Power BI KPIs (key performance indicators).
  • Learn Programming Languages: Gain proficiency in programming languages like Python and R to effectively analyze and manipulate big data sets.
  • Acquire Data Analytics Certification: Enroll in a data analytics course with a placement. Taking the course will offer you the following benefits.
    1. You will acquire a solid understanding of the data analytics concepts.
    2. You will be taught to operate data analytics tools.
    3. You will also obtain practical skills by working on industry-related real-world projects.
    4. You will receive placement guidance, making it easier to secure a placement.
Data analysts collect, interpret, and analyze large sets of data to identify patterns, trends, and insights to make informed decisions and drive business strategies. They use statistical software and programming languages to clean and organize data, create visualizations, and develop models that can help businesses optimize their operations and achieve their goals.

Yes, a fresher can secure a placement after completing a data analyst course. Many companies hire entry-level data analysts to ensure an influx of fresh ideas and to build a talented workforce since they recognize the benefits of fresh perspectives. If you are looking to land a placement as a data analyst, here are a few things you can do after completing the course.


  • Network with professionals to expand your connections.
  • Pursue internships to gain practical experience in the field.
  • Consider taking additional relevant certifications such as Advanced Excel course and an SQL for data analytics course as this can increase your chances of getting hired after completing the data analysis course.
Yes, choosing a career in the data analysis field is a good option as it presents a wide range of career opportunities in top sectors such as finance, healthcare, marketing, and technology. Additionally, it provides excellent salary potential, with an average salary range of ₹ 4 LPA to ₹ 13 LPA. Job security is another advantage of a career in data analytics.
The necessity of coding skill depends on the job requirements and the industry. While some data analyst positions may require coding skills, others may only require basic knowledge of data analysis software and tools. With the right data analysis training and placement opportunity, you can gain the necessary programming skills to apply for internships/jobs that require coding expertise.

The skills that are essential for acing the role of a data analyst are as follows:


  • Knowledge of programming languages, like Python, SQL, and R to analyze, manipulate, and create data visualizations.
  • Ability to transform complex data into an understandable format using data visualization tools like Tableau and Power BI.
  • Understanding of statistical methods to make inferences from data.
  • Proficiency in performing data wrangling to clean and transform data into a usable format.
  • Familiarity with big data technologies to perform data processing and real-time analytics efficiently.
  • Good communication and problem-solving skills to be able to explain complex concepts to clients and other stakeholders.

In order to gain the crucial skills and get a placement, you can take a data analyst course with placement.

The average salary range of a data analyst is ₹6 lakh-₹15 lakh per annum. The salary of the data analyst depends on various factors such as company, industry, job location, and experience level. However, by choosing to pursue a data analyst internship placement program, you will gain the necessary skills and knowledge to fetch a placement that will pay you a lucrative salary.
Yes, a data analyst can become a data scientist with the right training, skill development, and experience. Data analysts already possess many of the necessary skills required in the field of data science, such as data manipulation and analysis, statistical analysis, and data visualization. By further developing skills in programming, big data, and machine learning, a data analyst can successfully transition to the role of a data scientist. You can also consider pursuing an online data science course with a placement to kick-start your career in data science.

To pursue a career as a data analyst, ensure that you have the right skill set, qualifications, and experience. You can apply for a data analyst job by following these simple steps on the Internshala platform:

  1. Visit the Internshala website and click on the ‘Jobs’ tab.
  2. Set the job profile filter to ‘data analysis/data analytics’.
  3. Click on ‘View Details’ to read the job description.
  4. If your profile matches the job requirements, click on ‘Apply Now’
  5. Follow the steps to complete and submit the application.
Both these roles have some overlapping skills, however they are not the same. While both roles involve analyzing data to make informed decisions, business analysts and data analysts have different job responsibilities and skill set requirements.
Business analysts are more focused on identifying business problems, needs, and solutions, while data analysts are responsible for gathering, organizing, and analyzing data to draw conclusions and make data-driven recommendations. Data analysts possess additional technical skills, such as coding and database management. On the other hand, effective business communication skills for a business analyst are just as crucial as analytical skills.
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 Internship Placement Program in the FAQ.
At the time of making the payment, you will have the option to choose your preferred batch start date.
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.
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 any time of the day as convenient to you. The courses also consist of exercises, quizzes, tests, and projects that you will undergo as you learn.
You need to complete the Data Science Placement Course within 6 months from your chosen batch start date. If you spend ~1-2 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.
For a Placement Course student to be *eligible for an Internship or stipend Guarantee, they should -
  1. Meet the 75% aggregate marks for the Placement Course.
  2. Participate in all placement-related activities, placement preparation sessions & drives organized by Internshala.
  3. Make sincere and reasonable efforts to apply for various internships and jobs offered on Internshala (at least 10 relevant applications per week) and/or on other platforms and attend ALL interviews & selection processes arranged/offered by Internshala.
  4. Not indulge in any inappropriate disciplinary behaviour or action during the course completion, recruitment process and the training/internship period (including plagiarism).
  1. Graduate from the Placement Course within the originally stipulated duration without requiring any paid extension & make all the fee payments on a timely basis without any delay.
  2. Apply and accept only those internships and job opportunities that either have a minimum of three months duration or which fulfill the stipend guarantee. Exception of duration (less than three months) can be made only in the case of opportunities fulfilling the stipend stipulation.
  3. Be eligible and authorized to work in India and pass the background checks conducted by a company before starting the internship and ensure to meet any other condition as may be decided and communicated by Internshala from time to time.
  4. Do not decline an internship offer, full-time employment offer, internship extension, or pre-placement offer that you get without Internshala’s approval or leave an internship mid-way nor be terminated from it due to lack of performance or misconduct.
The Career Planning Session will take place along with the viva and your mentor for these sessions would be an expert with 5+ years of experience in the industry. This session will be an opportunity for you to discuss your career goals and get personalised feedback and guidance from the mentor.
For graduating Placement course students, we will curate Data Science internships with stipends. These internships come from the pool of recruiters who use Internshala for hiring and can be anywhere in India (including work from home) and you can apply to them as per your choice.
Every eligible Placement course student will be able to secure an internship (or full-time employment) within 6 months after graduating from the Placement course with a minimum stipend of ₹ 10,000/- per month with a total stipend of ₹ 40,000/- during the tenure of the internship/full-time employment (work from office PAN India); failing which Internshala will reimburse the difference between the confirmed and actual stipend/salary. E.g: If you get a total stipend of ₹ 30,000 and we confirmed a total stipend of ₹ 40,000, Internshala will reimburse ₹ 10,000 i.e difference between the confirmed and the actual stipend.
Any internship or full-time employment that a student gets, in a profile directly related to the Placement course program or otherwise, through their own efforts, via Internshala, or any other medium, will be considered.
Every eligible Placement course student will be able to secure a placement ( internship with a pre-placement or offer full-time employment) within 6 months after graduating from the Placement course program, failing which Internshala will refund the Placement course fee paid by the student. Please note that the refund will be exclusive of GST, Payment gateway charges & interest charges of the bank in case of EMI payments.
If you satisfy the eligibility criteria and still fail to get any full-time employment or internship with a pre-placement offer within 6 months of completing the course, please write to pgc.support@internshala.com upon completion of the 6 months after graduating from the course. We will let you know of the documents required to process your claim. Please ensure that you make the claim within thirty days from the date of completion of the 6 months or it will not be considered for further process and Internshala will not be liable to reimburse any refund.
Internshala will support you throughout the Placement Course and beyond, providing continuous placement guidance even after course completion. You will have access to relevant data science opportunities (internships with pre-placement offers) on the Internshala portal, where you are required to apply as part of the placement process.
As a Placement Course graduate, your application will be highlighted to recruiters, improving your chances of getting shortlisted. Companies will assess and select candidates based on their respective hiring processes & preferences.
Placement preparation sessions are 1:1 sessions for Placement course students so as to prepare them for interviews. These include sessions on cover letter writing, resume writing, LinkedIn profile building, and mock interviews.
These are mandatory sessions and in case the user isn't attending any session, they will be debarred from the internship placement program. The user will still be able to access the learning content.
Upon successful completion of the Placement course, you will receive a Data Science Placement course certificate from Internshala Trainings and Analytics Vidhya.
The necessary requirements to be eligible for the Placement course certificate are as follows -
1. Min. 75% aggregate marks
2. Submission of the mandatory projects
3. Attending the viva and career planning session
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.
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.
You will have 24*7 access to a doubt clearing forum where you can post your doubts and the course instructors would answer them with-in 24 hours. There will also be a live doubt clearing session with the instructor once a week where you can ask your doubts in real-time through chat or audio/video call.
The Placement course consists of 8 courses and each course will have several quizzes, module tests and capstone projects that are meant for your practice. Each course will also have a final test which will be online. You need to score a min. 50% marks in the final test of each course to proceed to the next course and hence, passing all the final tests is necessary for you to complete the Placement Course. To graduate from the Placement course, you need to score an aggregate of 75% marks, i.e. 2250 marks out of the total 3000.
You will get one more attempt to take the test on payment of Rs. 1000. There will not be any further attempts available to you.
All 6 projects are mandatory. These project marks would add to your overall Course score. You are required to submit all 6 mandatory projects to graduate from the Placement Course.
Yes, every project you submit will be scored and given feedback on.
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 assignments and projects. In the viva, you will be asked questions based on concepts taught in the Placement Course and the projects and assignments you will work on.
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
Yes, you may request a course change to another program within the first 15 days of your batch start date if you find the concepts challenging to understand. This option is available only once per student under our Course Change Policy.
You can request a batch change at any time under our Batch Changing Policy. If you request a batch change within seven days of the original batch start date, no fee will be charged. If the request is made between 7 and 30 days after the start date, a fee of Rs. 999 will apply. For batch change requests made after 30 days, the fee will be calculated based on the additional months provided, multiplied by the monthly cost indicated.
It aims at providing you with the practical application of Data Science concepts learnt during the course. The Bootcamp will be a guided approach, where you will solve industry-level problems live and practice just like you would do in an actual Data Science job.
Yes, you would have lifetime access to all the study material and resources provided during the bootcamp.
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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