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For Freshers

Job-ready Program in Data Science & Analytics

Become job-ready in one of the most in-demand skills today. Learn SQL, ML and more with this Data Science & Analytics course designed for college students.

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10,00,000

Students graduated

Gramener, Zee5

Instructors

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upGrad Campus

Introduction to Data Science & Analytics Course

Course Snapshot

6 LPA

Avg Salary

5000

Students Placed

12 LPA

Highest Salary

3 assured Interview Opportunities with Placement Plus

Program experts from Meta and Disney+ Hotstar

6+ Hands-on Projects and Case Studies

Curriculum includes Python programming for beginners

Get experience with 15+ tools

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Key Highlights of Data Science

What does this course have to offer?

Key Highlights

    200+ Hours of Recorded Sessions

    Study at your own pace

    Program experts from Meta and Disney+ Hotstar

    Get experience with 15+ tools

    Curriculum includes Python programming for beginners

    No Cost EMI Options Available

    Scholarships & Financial Assistance

    Top Faculty & Industry Experts

Need to know more?

Get to know the course in depth by downloading the course brochure

Data Science and Analytics Program Career Outcomes

What our learners have achieved?

A quick summary of the placement support received by this program's alumni

5/6
Learners saw positive career growth
6 LPA
Avg. Salary
55+
Hours of Career Training
300+
Hiring Partners

Top Recruiters

Accenture
Microsoft
OLA
Flipkart
PWC
Google
Goldman Sachs
Meta
Amazon
Cognizant
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Data Science and Analytics Program Certification

Earn valuable credentials

Get certified and make a stand-out resume upon graduating from our job-ready Data Science and Analytics Program

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Data Science and Analytics Course Syllabus

What will you learn?

Industry-relevant curriculum taught by leading faculty & industry experts using videos, case studies, hands-on projects and live online sessions

Aids to Business Problem Solving

Control Structures and Functions in Python

Object-Oriented Programming (OOP) in Python

Problem-Solving in Python

Data Cleaning in Python

Introduction to Kaggle

Various Plots in Matplotlib

Data Visualisation with Seaborn

SQL Querying

Joins and Set Operations

Business Problem-solving using Data Modelling

Creating a Pivot Table

Analysing Data in a Pivot Table

Getting Started with Tableau

Charts, Plots, Hierarchies

Grouping and Tree-Maps

Dashboard Creation

Storytelling

Data Sourcing

Data Cleaning

Univariate Analysis

Bivariate Analysis

Derived Metrics

Linear Regression

Decision Trees

Clustering

300+

Learning Hours

4+

Case Studies

100+

Live Session Hours

15+

Tools

Programming Tools and Languages

Data Science and Analytics Course Instructors

Whom will you learn from?

5

Industry Experts

Data Science and Analytics Projects

Learn by Doing

Learn from India's leading Data Science and Data Analytics instructors

5+

Industry projects to choose from

Data Science and Analytics Learner Services

How will upGrad support you?

Industry Mentors

    Receive unparalleled guidance from industry mentors, teaching assistants and graders

    Receive one-on-one feedback on submissions and personalised feedback on improvement

Student Support

    You can write to us via connect.ugcampus@upgrad.com or for urgent queries use the " Talk to Us" option on the learn platform.

Data Science and Analytics Alumni

What Our Learners Have To Say

Data Science and Analytics Course Fees

Invest In Your Success

9 Months
Starting at
INR 4,778/month
Totally INR 47,000*(No Additional Taxes)

Inclusions

Data Science and Analytics Course Material that you access for upto 3 years
Get Loan Details
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Data Science and Analytics Course

How To Apply

Please find below the detailed steps to be followed as a part of the admission process.

Eligibility

Candidate must be in college or  with 0-2 years of work experience

Frequently Asked Questions

upGrad Learner Support

Talk to our experts. We are available 7 days a week, 9 AM to 12 AM (midnight)

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Indian Nationals

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Foreign Nationals

Disclaimer

1.The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.

2.The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not provide any a.