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Data Analyst internships
Highest stipend offered
Internships with PPO
₹ 11LPA
Highest salary offered post internship

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Top career options in Data Analyst

Industry-recognized & government approved certification

Internshala Trainings certificate
Upon successful completion of the program, you will receive a Data Analyst Placement Guarantee 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 Guarantee Course Curriculum

200+ hours of learning
8 courses
7 Projects
15 assignments
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
Project : J P Morgan classification for legal documents
  • Overview
  • What is Analytics?
  • Kinds of Data
Business Analytics
  • Analytical Tools
Project: J P Morgan classification for legal documents

Legal Document Classification: Leveraging J.P. Morgan's Data Analytics Framework

  • Navigation of Tool
  • Tips and Tricks
  • Working on Right Data
  • Operators and Math Functions
  • Text Functions
  • Date Functions
  • Logical Functions
  • Lookup Functions
  • What if Analysis
  • Pivot Table Analysis
  • Charts
  • Conditional Formatting
  • Data Validation
  • Table
  • Power Tools
  • Macro Basics
  • Exploring More on Macro
  • VBA Basics
  • Exploring More on VBA
Project: KPMG Data Analysis using Excel

Enhancing decision making through data collection, data cleaning, data analysis, visualizations and a summary of insights.

  • 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
  • Exploring Power BI Service
  • Connecting Data Source to Cloud
  • Data Security on the Cloud
Project: Airline Performance Analysis using Power BI

FlightTrack: Empowering Airlines Through Performance Analysis with Power BI

  • 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: Optimizing Retail Insights: A Walmart Case Study

A Comprehensive Data Analysis of Walmart Using SQL

  • 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
  • Libraries to Operate and Analyse Data
  • Libraries to Visualize Data
  • Basic Terminology
  • Types of Data
  • Measures of Central Tendency
  • Measures of Dispersion
  • Basics of Inferential Statistics
  • Hyphothesis Testing
Project: Electric Vehicles Market Size Analysis using Python

Currents of Change: Exploring Electric Vehicles Market Size through Python Analysis

  • Learn the Basics
  • Uses of Machine Learning
  • Regression Models
  • Classification Models
  • Introduction to Unsupervised Machine Learning
  • Clustering
Project: Smart Pricing & Retention: Data-Driven Solutions for Airbnb and Telecom Industries A.Airbnb Price Prediction B.Customer Churn Prediction

A. Predict the price of Airbnb listings entails gathering and preparing data, creating new features, and employing regression techniques to accurately estimate prices.
B. Predict whether customers in the telecom industry will churn (switch service providers) using machine learning classification algorithms.

  • Basics of NLP
  • Text Basics
  • Text Classification
  • Topic Modelling
Project: Text Intelligence: Sentiment Analysis of IMDb Reviews and News Article Classification

A. Analyze and predict the sentiment (positive or negative) of movie reviews from the IMDb dataset. This involves text preprocessing, feature extraction, and training various classification models to perform sentiment analysis on the reviews.
B. Classify news articles into categories like sports, politics, and technology using News Data Category. This involves scraping news articles, preprocessing the text, extracting features, and building classification models to categorize the articles accurately.

  • Basics of Deep Learning
  • Neural Network
  • CNN and RNN

Live Placement Bootcamp

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 to solve any coding problem within seconds

Skills and tools you will learn

Power BI
Data Analysis
Machine Learning
Latest gen AI tools

Learn from Top Industry Experts

Course fees

₹ 42,000
Valid till 18 Jul
No-cost EMI options available
starting at just ₹3,500 per month
100% refund if not hired!


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 job guarantee. 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 a job guarantee, making it easier to secure a job.
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 job 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 job 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 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 job, 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 job guarantee program, you will gain the necessary skills and knowledge to fetch a job 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 guarantee 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 Guarantee 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 guarantee 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 Guarantee 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.
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 Guarantee 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 guarantee courses in the data science domain. The Data Science Placement Guarantee Course follows an industry-focused curriculum. It covers modules like Excel, SQL, Tableau, Machine Learning with Python, and more, designed to strengthen the practical skills of the participants. Internshala also offers a Business Analyst Course with Placement and a Data Science 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 desktop or laptop will be needed and hence it is advised that you do this data science course on a laptop or desktop.
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 Guarantee 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 dont 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 can not 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.
Please write to us on 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 guarantee, please refer to the Guaranteed Job/Internship Program in the FAQ of the Placement Guarantee courses.
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 so that we can help you with it.
The Placement Guarantee 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 Guarantee 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 Guarantee 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 Guarantee Course student to be *eligible for an Internship or stipend Guarantee, they should -
  1. Meet the 75% aggregate marks for the Placement Guarantee 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 Guarantee 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 guarantee.
  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 Guarantee 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 Guarantee course student will be able to secure an internship (or full-time employment) within 6 months after graduating from the Placement Guarantee course with a minimum stipend of ₹ 10,000/- per month with a total stipend guarantee 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 guaranteed and actual stipend/salary. E.g: If you get a total stipend of ₹ 30,000 and we guaranteed a total stipend of ₹ 40,000, Internshala will reimburse ₹ 10,000 i.e difference between the guarantee and the actual stipend.
Any internship or full-time employment that a student gets, in a profile directly related to the Placement Guarantee course program or otherwise, through their own efforts, via Internshala, or any other medium, will be considered.
Internshala guarantees that every eligible Placement Guarantee course student will be able to secure an internship (or a full time employment) with-in 6 months of graduating from the Placement Guarantee course program (Internship Guarantee Period); failing which Internshala will refund the Placement Guarantee course fee paid by the student.
If you satisfy the eligibility criteria and still fail to get any internship (or full time employment) with-in Internship Guarantee Period, please write to upon completion of the Internship Guarantee Period. 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 job guarantee period or it will not be considered for further process and Internshala will not be liable to reimburse any refund.
If you satisfy the eligibility criteria and get an internship whose stipend/salary does not match the guaranteed stipend, please write to us on with details and documents (like offer letter or appointment letter) upon completion of your internship/full time employment. We will let you know of the remaining documents required to process your claim.
After graduating from the Placement Guarantee course, on regular intervals, Internshala will share with you relevant data science internships that you can apply to as per your choice. As a Placement Guarantee course student, your application will be highlighted to the recruiters. Companies will shortlist and assess you as per their respective policies.
Placement preparation sessions are 1:1 sessions for Placement Guarantee 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 guaranteed internship program. The user will still be able to access the learning content.
Upon successful completion of the Placement Guarantee course, you will receive a Data Science Placement Guarantee course certificate from Internshala Trainings and Analytics Vidhya.
The necessary requirements to be eligible for the Placement Guarantee 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 Guarantee 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 Guarantee 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 Guarantee Course. To graduate from the Placement Guarantee course, you need to score an aggregate of 75% marks, i.e.1965 marks out of the total 2620.
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 7 projects are mandatory. These projects carry 100 marks each and it would add to your overall Placement Guarantee Course score. You are required to submit all 7 mandatory projects to graduate from the Placement Guarantee course.
Yes, every project you submit will be scored and given feedback on.
During the Placement Guarantee 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 Guarantee Course and the projects and assignments you will work on.
Final tests and projects carry 100 marks each. There will be two vivas, mid term viva and final viva. Final viva will be of 500 marks. Hence, the total marks in the Placement Guarantee Course will be 2620 as per table below. You need to score a min. 75% marks (1965) to graduate from the Placement Guarantee course and get your certificate.
Course Assignments Final Test Marks Capstone Project Marks
Introduction to Data Analytics - 100 100
Data Management and Analysis with MS Excel 20 100 100
Data Visualization with Power BI 30 100 100
SQL for Data Analysis and Insights 20 100 100
Python Data Preparation & Analysis 30 100 100
Data Driven- Machine Learning 20 100 100
NLP Essentials: Applications to Real-World Problems 20 100 100
Deep Learning Mastery: Data-Intensive 10 100 -
Total course marks 150 (A) 800 (B) 700 (B)
Mid Term viva 400 (D)
Final viva 500 (E)
Class participation: Time Bound Session 70 (F)
Aggregate marks (A+B+C+D+E+F) 2620
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
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

Urgent! Course fees will increase by ₹12,000 soon. Apply now!