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Reviews from placed students

AVERAGE RATING
4.5

Ankita Buwaniwal

₹ 8.6 LPA

Data Analyst, India Today News

Yashwant

GO-AI Associate, Amazon

Ganesh Baravkar

Flipkart

Ajay

₹ 4.2 LPA

Fleet operations lead, Blinkit

Khush Vijaybhai

₹ 40K/month salary

Junior data analyst, Ven Analytics

Shriyansh Sahu

Flipkart

Abhishek Patil

₹ 30K/month salary

ML Engineer, Paramount Healthcare

Eswari

House of couton private limited

Anurag Nautiyal

₹ 5LPA

Executive Data Analyst, Miraggio

Meghana

MIS Executive, Flipkart

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 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

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 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

Course 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 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

FAQs

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

A data science placement course equips students with the necessary analytical skills and teaches the use of data science tools. Internshala, in collaboration with industry experts, offers data science training to ensure that graduates are well-prepared for their role in this field. Through hands-on projects, real-world case studies, and mentorship, students gain practical experience and insights essential for success in the data science industry.

Furthermore, the data science course in Pune with placement highlights Internshala's commitment to ensuring that students have direct access to employment opportunities in the data science industry after completing the course.

Pune is quickly emerging as a hub for those looking to pursue a career in data science. Boasting a thriving IT and tech industry, the city offers great career prospects in data science across various sectors. With a strong startup ecosystem and established IT companies, aspiring data scientists can work on cutting-edge projects, contribute to innovative solutions, and collaborate with industry leaders.

The demand for skilled data scientists in Pune is on the rise, providing a conducive environment for career growth and competitive salaries. You can increase your chances of pursuing a career in this field by enrolling in a data science course in Pune with a placement.

The salary of a data scientist in Pune varies depending on various factors such as experience level, skill set, and industry. Here is a table showing the minimum average salary of data scientists in Pune based on experience level.

Experience LevelMinimum Average Salary (lakh per annum)
Entry-Level [ 0 - 1 year ]₹ 8.5 LPA
Mid-Level [ 2 - 4 years ]₹ 12.8 LPA
Experienced [ 5 + years ]₹ 16.5 LPA

It is crucial to align your interests, skills, and career goals when applying for the best data science-related jobs. Here are some popular data science job roles to consider.

  • Data Scientist: This role involves analyzing data and building models for various industries.
  • Big Data Engineer: This role is ideal for individuals who specialize in large-scale data processing using technologies like Hadoop.
  • Business Intelligence Analyst: If you enjoy visualizing data and supporting business decisions, then applying for this role is a great option.
  • Machine Learning Engineer: This role is perfect for those who are interested in designing and implementing machine learning models.
  • Data Analyst: If you are good at interpreting and reporting insights, applying for this role is a good career choice.

Keep in mind that Pune's tech industry is constantly evolving, so stay up to date with the latest job trends and opportunities. Upskill yourself by pursuing a data science course with a placement in Pune.

The salary package is influenced by factors such as industry type and company size. The highest salary of a senior data scientist in Pune ranges between ₹ 10 LPA and ₹ 36 LPA, with an average annual salary of ₹ 22 LPA.

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 projects. In the viva, you will be asked questions based on concepts taught in the Placement Course and the projects 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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