Curriculum designed by industry experts

Data Science Foundation Program

Gain work experience of data scientist with real projects

In Collaboration With

data science course
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IBM

Global Certification

175%

Average Salary Hike

35K+

Trusted Learners

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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

4 Guaranteed Interview Calls
Resume Building Session
LinkedIn Profile Review
Mock Interview Sessions

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

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Real Stories, Real Success

Discover what our learners say about us

9K+

Successful Career Transitions


175%

Average Salary Hike

Courses Top Rated in:

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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

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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.

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GetHired At

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Can’t decide which program to opt for?

Don’t worry, our expert counsellor is there to guide you make the right career choice

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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
  • A brief introduction to tools related to data
  • Learn about particular real-time projects and Capstone projects
  • Data and its impact on career opportunities
  • Utilizing data, to enhance industrial operations and management
  • Topic 2 :- Fundamentals of Programming
  • Introduction to Anaconda & Jupyter notebook
  • Flavours of python Introduction to Git, GitHub
  • Python Fundamentals
  • Topic 3 :- Fundamentals of Statistics
  • Mean, Median, Mode
  • Standard Deviation, Average. Probability, Permutations, and Combinations
  • Introduction to Linear Algebra
  • Term 1 :- Python for Data Science

    Term 2 :- Statistics and Machine Learning

    Term 3 :- Data Science Tools

    7,568 people filled

    Free Consultation with Expert

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    Programming Languages & Tools Covered

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    Globally Recognized Program

    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.

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    Certificate

    Fee & Batch Details

    Invest in your future with affordable program fees and flexible batch options

    Scholarship Details

    data science course

    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

    Zest

    Batch Details

    Weekday Batch

    June 7th

    MON - FRI

    8:00 PM - 10:00 PM


    Weekday Batch

    June 14th

    MON - FRI

    8:00 AM - 10:00 AM

    Meet Our Mentors

    Guiding You Every Step of the Way Towards Professional Excellence

    mentor

    Disha Jindgar

    company
    mentor

    Disha M.

    company
    mentor

    Tammanna V.

    company
    mentor

    Mohit S.

    company
    mentor

    Pulkit Jain

    company
    mentor

    Tripti Jain

    company
    mentor

    Ankur K.

    company

    Dedicated Placement Cell

    Job roles & companies you can target

    Data Scientist

    AI Engineer

    Data Analyst

    Business Analyst

    Data Engineer

    ML Engineer

    BI Engineer

    placement
    placement
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    placement

    Insider glimpses: Click to see real conversations with our learners

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    Industry Projects

    Curriculum is specifically engineered to meet the expectations of leading tech companies.

    12 Hours
    microsoft

    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.

    microsoft
    17 Hours
    microsoft

    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.

    microsoft
    14 Hours
    microsoft

    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.

    microsoft
    19 Hours
    microsoft

    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.

    microsoft

    FAQs

    Curriculum is specifically engineered to meet the expectations of leading tech companies.

    Course RelatedPayments and ScholarshipsCapstone and Real-Time ProjectsCertificationJob AssistanceMentorshipSupport

    What are the prerequisites for the Data Science Foundation Program?

    There are no prerequisites for this Data Science Foundation course as all modules are beginner-friendly and are taught from scratch. We provide special classes and assistance for Non-IT/Non-Programmers. However, basic knowledge of applied Mathematics/Statistics is a must.

    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.

    Course Related
    Payments and Scholarships
    Capstone and Real-Time Projects
    Certification
    Job Assistance
    Mentorship
    Support

    What are the prerequisites for the Data Science Foundation Program?

    There are no prerequisites for this Data Science Foundation course as all modules are beginner-friendly and are taught from scratch. We provide special classes and assistance for Non-IT/Non-Programmers. However, basic knowledge of applied Mathematics/Statistics is a must.

    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.

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