Curriculum designed by industry experts
Data Science Foundation Program
Gain work experience of data scientist with real projects
In Collaboration With
Free Career Counselling
IBM
Global Certification
175%
Average Salary Hike
35K+
Trusted Learners
Project-Based Learning
Work in an industry like environment and gain practical hands-on experience
4 Data Science Projects
Job Roles You Can Target
Data Scientist : 14LPA
Data Analyst : 11 LPA
Data Engineer : 10.9 LPA
Assured Job Assistance
Advance Your Career With Data Science
Expert Crafted Curriculum
Syllabus designed by top tech-industry experts
Flexible Learning at your Convenience
Designed for professionals aiming to upskill without quitting their job
100% Job Assistance Program
Get a boost in your career with guaranteed 4 interview calls
Real Stories, Real Success
Discover what our learners say about us
9K+
Successful Career Transitions
175%
Average Salary Hike
Courses Top Rated in:
Discover what our learners say about us
Hear it from Alumni
Alumni Spotlight
Who is this program for
Education
Bachelor's degree with consistent good academic
Work Exp.
Minimum 6 Months of IT/Non-IT work experience
Career Stage
Early to mid-career professionals interested in data science
Aspirations
Developing skills in data science for future opportunities
Learnbay’s ProjectLab
Project Innovation Lab
Global Certification
Target Job Roles
35K+
Mentors help you select the domain & guide you through.
Key Benefits
Work in an industry like environment and gain practical hands-on experience
Gain the work experience of data scientist with dedicated project mentors from industry.
Land Your Dream Job with Career Services PRO
1:1 Doubt Sessions
Interview Prep.
Resume BuildUp
3 Years Flexible Sub.
GetHired At
Can’t decide which program to opt for?
Don’t worry, our expert counsellor is there to guide you make the right career choice
Learning journey at Learnbay
Upskill Now
Live sessions, expert 1:1 doubt clearing, and quizzes.Capstone Projects
Work with industry experts on practical projects.Boost Profile
Mock interviews and resume-building sessionsCareer Goals
Get placement assistance with top companies.Explore our Syllabus
Curriculum is specifically engineered to meet the expectations of leading tech companies
Module 0 :- Preparatory Classes (Programming + Maths)
Topic 1 :- Cohort Orientation
Topic 2 :- Fundamentals of Programming
Topic 3 :- Fundamentals of Statistics
Term 1 :- Python for Data Science
Term 2 :- Statistics and Machine Learning
Term 3 :- Data Science Tools
Programming Languages & Tools Covered
Globally Recognized Certification Course
IBM
Course Completion Certificate from IBM
Complete your training with the internationally recognized certificate.
Validate your Data Science and AI skills with IBM Course Completion Certificate.
Get acknowledged in IT sector by adding IBM Certificate to your profile.
Fee & Batch Details
Scholarship Details
Scholarships are awarded based on profile review. Eligible candidates can avail upto 25% scholarship on desired program. Click the button below to apply.
Program Fee
₹ 75,000 + 18% GST
EMI Options
Pay in easy EMIs starting as low as
₹4,917/month
For No Cost EMI options click here.
Payment Partners
Batch Details
Weekend Batch
Nov 24th
SAT - SUN
9:30 AM - 1 PM
Weekday Batch
Dec 6th
MON - THU
8:00 PM - 10:30 PM
Meet Our Mentors
Guiding You Every Step of the Way Towards Professional Excellence
Disha Jindgar
Disha M.
Tammanna V.
Mohit S.
Pulkit Jain
Tripti Jain
Ankur K.
Dedicated Placement Cell
Job roles & companies you can target
Data Scientist
AI Engineer
Data Analyst
Business Analyst
Data Engineer
ML Engineer
BI Engineer
Insider glimpses: Click to see real conversations with our learners
Industry Projects
Curriculum is specifically engineered to meet the expectations of leading tech companies.
-min.png&w=640&q=75)
Learn and develop classification techniques for the digital transformation of banking
JPMorgan offers tax-friendly insurance choices. You can help them forecastinsurance premiums. Targeted marketing using your random forest algorithm skills can help obtain better premium values.
Building a content recommendation model on the basis of regional viewer categorization
Netflix is a global entertainment video streaming site. They offer content in various regional languages. Build a local recommendation engine for Netflix customers residing in south Bangalore on their weekend and weekdays activities, utilizing NLP.
Understanding in-depth about logging while drilling (LWD) technique
Saudi Aramco company is working onthe development of high-efficiency drilling models. Use the bright sides of big data analytics to identify the most cost-effective and highly productive drilling sites.
Career progression planning of employees with workforce defections & efficiency
IBM intends to boost its HR department by identifying employees' masked inconsistency. They need models to identify the graphical variations in their 14000+ employees' performances. Help them build models with your regressions and other ML abilities.
FAQs
Curriculum is specifically engineered to meet the expectations of leading tech companies.
What are the prerequisites for the Data Science Foundation Program?
What if I miss a few classes due to an emergency?
In case you miss a few classes, you will be provided with backup classes in other batches. But if you could not attend more classes, you can opt for batch change and join the next batch.
What is a Flexi Subscription in Data Science Foundation Program?
Those who enroll for Data Science live classroom training are eligible for a Flexi Pass. With this option, we will share access to all the ongoing batch details for a period of 1.5 year, so that you can attend live sessions from any batch and learn at your own pace. This option is best for people working in shifts or on weekends.
What’s the duration of the Data Science Foundation Program?
The duration of this Data Science Course is about 7 months (200+ hours) which includes live lectures, hands-on practical training on live projects, and interview preparations. Classes will be conducted on weekdays and weekend batches. Weekday batch – 5 months, Monday to Friday – 2 hours/day, Weekend batch – 7 months, Saturday & Sunday – 3.5 hours/day
What is the mode of Data Science training at Learnbay?
We provide both classroom and online data science training modes. Based on your requirement, you can choose your preferred mode.
How can I opt for a Hybrid mode of learning?
Simply, you can choose an online mode of study for the theoretical classes and a classroom mode for all the capstone project and interview preparation sessions.
What are the prerequisites for the Data Science Foundation Program?
What if I miss a few classes due to an emergency?
In case you miss a few classes, you will be provided with backup classes in other batches. But if you could not attend more classes, you can opt for batch change and join the next batch.
What is a Flexi Subscription in Data Science Foundation Program?
Those who enroll for Data Science live classroom training are eligible for a Flexi Pass. With this option, we will share access to all the ongoing batch details for a period of 1.5 year, so that you can attend live sessions from any batch and learn at your own pace. This option is best for people working in shifts or on weekends.
What’s the duration of the Data Science Foundation Program?
The duration of this Data Science Course is about 7 months (200+ hours) which includes live lectures, hands-on practical training on live projects, and interview preparations. Classes will be conducted on weekdays and weekend batches. Weekday batch – 5 months, Monday to Friday – 2 hours/day, Weekend batch – 7 months, Saturday & Sunday – 3.5 hours/day
What is the mode of Data Science training at Learnbay?
We provide both classroom and online data science training modes. Based on your requirement, you can choose your preferred mode.
How can I opt for a Hybrid mode of learning?
Simply, you can choose an online mode of study for the theoretical classes and a classroom mode for all the capstone project and interview preparation sessions.
24X7 Learner’s Support
