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Build Your Data Science Skills from Scratch

Learn data analysis, machine learning, visualization & Python through hands-on projects.

Build Your Data Science Skills from Scratch

Learn data analysis, machine learning, visualization & Python through hands-on projects.

Beginner Level

No Coding knowledge required

Learn anytime, anywhere

6 months at 5-8 hours a week

Flexible EMI options

₹1750/month

Interview Training

Internship Guidance
AI Mock Interviews

Benefits for you

Live

Total Learners

3 Months

For Weekdays

1:1

Doubt Sessions

1000+

Hiring Partners

Why Students choose this course?

Why Students choose this course?

Tired of Theory-Only Learning?

Build 8 real-world projects based on practical applications, gaining hands-on experience with data science and machine learning techniques that will prepare you for real industry challenges.

Industry-relevant projects
Portfolio ready

Worried About Placement Readiness?

Master the most in-demand tech stack that top companies are hiring for. Get job-ready skills and future-proof your career.

 

Internship Guidance
Industry standard tools

Finding Online Learning Difficult?

Step-by-step structured learning path with hands-on practice in every session. Plus, get help when you're stuck.

Practical exercises
Dedicated support

Your Data Science Learning Roadmap 

Introduction to Data Science

Understand the foundational concepts of data science, including key terminologies and the importance of data in decision-making. Learn about the data science workflow, from data collection to analysis and reporting.

Python for Data Science

Dive into Python programming with a focus on writing efficient code for data science tasks. Key topics include defining functions, using libraries for numerical operations, and handling data structures.

Data Manipulation with Pandas

Learn how to use Pandas to manipulate data efficiently. Topics include data cleaning techniques, transforming data frames, and using advanced functionalities for complex data analysis tasks.

Statistics for Data Science

Understand the essential statistical tools required for data analysis, including measures of central tendency, variability, and data distributions. Learn how to apply statistical concepts to real-world data for better decision-making.

Machine Learning Fundamentals

Gain an understanding of the core concepts of machine learning, including supervised and unsupervised learning techniques. Understand building and evaluating models for classification, regression, and clustering tasks.

Data Visualization

Explore the art of data visualization using popular Python libraries such as Matplotlib, Seaborn, and Plotly. Understand the creation of compelling visualizations, from basic charts to interactive plots.

Hands on Learning

AI Learning Assistant

Get instant support for your content, concept, and coding queries with our intelligent learning companion.

Learning Advisor

Receive personalized guidance, progress tracking, and orientation from your dedicated advisor throughout your learning journey.

All-in-one LMS

Access course videos, coding practice environments, and scheduling tools all in one integrated platform.

Mock Interviews

Practice and perfect your interview skills with both AI-powered simulations and direct feedback from industry experts.

Resume & Portfolio building

Learn Job-ready resume writing and portfolio building to showcase your skills effectively to potential employers.

Mock Interviews

Practice and perfect your interview skills with both AI-powered simulations and direct feedback from industry experts.

Resume & Portfolio building

Learn Job-ready resume writing and portfolio building to showcase your skills effectively to potential employers.

Build Your Portfolio with 8 Real-World Projects

GooglePay Expense Sharing

Create a Python program to manage shared expenses and calculate reimbursements between friends.

Tech Stack

Uber Ride History Data Cleaning

Clean Uber ride history data by handling missing values and ensuring accurate trip details.
 Python, Pandas, datetime

Tech Stack

Predictive Analysis of IPL Match Outcomes

Analyze historical IPL data to predict match outcomes using machine learning algorithms.
 Python, Pandas, Matplotlib, Seaborn, Scikit-Learn

Tech Stack

Netflix Content Analysis

Analyze Netflix viewer data to uncover trends and optimize content creation strategies.
 Python, Pandas, Matplotlib, Seaborn

Tech Stack

Weather Dashboard

Build a machine learning model to detect fraudulent transactions in Mastercard payment data.

Tech Stack

Amazon Product Recommendation System

Develop a recommendation system to suggest products on Amazon based on user behavior.

Tech Stack

+ 2 more industry relevant projects.

Receive NSDC Certification upon Course Completion

Earn a certificate of completion
Show your college, network & companies you've done the work by earning a certificate of completion.

Show proof
Receive a certificate that demonstrates you've completed a course.

Share with your network
Easily add certificates of completion to your LinkedIn profile to share your accomplishments.

Technologies & Tools You’ll learn

Testimonials

I just finished a Data Science course at GUVI Institute, and it was great! They covered everything from statistics to machine learning, data visualization, and coding in Python. The instructors really knew their stuff and explained things clearly, making even the tough concepts easy to get. The hands-on projects and assignments were super helpful and let me put what I learned into practice. Overall, it was a fantastic experience that really boosted my data science skills.

Ramya Krishnan A

GUVI focuses on hands-on learning, where students can apply theoretical knowledge through practical exercises and real-world projects. This approach helps in solidifying concepts and gaining practical experience. From basic programming languages like Python, Java, and C++ to advanced topics like data science, machine learning, and full-stack development, GUVI covers a broad spectrum of subjects. This allows learners to pick and choose courses that best fit their career goals.

M JAISON ARO

Companies our learners are working at

Learn from Industry Experts

Affordable Pricing

Program fee

₹24,999/-

Easy EMI upto 12 months at ₹1750/- month

Extra Benefits

  • Learn In English 
  • Internship Guidance
  • LMS Support
  • 100+ Hrs of courses + 8 Projects
  • Skill Monetization course
  • NSDC Certification

Learn from Top Industry Experts

Companies our learners are working at

Learn from Top Industry Experts

Learn from Industry Experts

Frequently Asked Queries
Who can join this Data Science course?

This course is perfect for college students from 1st year to final year, regardless of their branch. If you're interested in becoming a web developer, this course is for you, even if you're a complete beginner.

Is this an online or offline course?

This is a completely online, self-paced course. You can learn at your own speed, anytime, anywhere. You'll get 24x7 doubt support through chat and call support from our team.

How long will it take to complete the course?

The course contains 100 hours of content (85+ hours of lessons + 25+ hours of projects). Most students complete it in 3-4 months by studying 2 hours daily. Since it's self-paced, you can complete it faster or take more time based on your schedule.

How can I clear my doubts while learning?

You can get your doubts cleared through:

  • 24x7 chat support from our technical team
  • Call support during working hours
  • Interactive doubt-clearing sessions
What happens if I'm not satisfied with the course?

We offer a 7-day refund policy. If you're not satisfied with the course content, you can request a refund within 7 days of purchase, no questions asked.

What kind of placement support do you provide?

We offer a Career Preparation Module that includes internship guidance, AI mock interviews, and resume building. Please note that while we provide comprehensive career support, we do not guarantee job placements.

Do I need coding experience to join this course?

Not at all! We start from the basics and gradually move to advanced topics. Complete beginners can join and learn successfully.

What will I be able to do after completing this course?

After completion, you'll be able to:

  • Build complete websites and web applications
  • Work with both frontend and backend technologies
  • Create your own projects for your portfolio
  • Start freelancing
  • Apply for web development jobs
What type of projects will I build in this course?

In this course, you'll work on 8 real-world projects, including developing recommendation systems, data analysis, predictive modeling, and more, giving you hands-on experience with key tools and techniques in data science and machine learning.

What about the fee payment?
  • Course fee is ₹24,999
  • EMI options are available
  • You can pay through all major payment methods
Will I get a certificate after completion?

Yes, you'll receive an NSDC Certificate & industry-recognized certificate from Guvi after completing the course and projects.

Can I learn this course while studying in college?

Absolutely! The course is designed to be flexible. You can learn at your own pace and manage it alongside your college studies.

Still have queries? Contact Us

Request a callback. An expert from the admission office will call you in the next 24 working hours.
You can also reach out to us at [email protected] or 9736097320

Still have queries? Contact Us

Request a callback. An expert from the admission office will call you in the next 24 working hours. You can also reach out to us at [email protected] or 9736097320

Still have queries? Contact Us

Request a callback. An expert from the admission office will call you in the next 24 working hours. You can also reach out to us at [email protected] or 9736097320

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  • Nauru(+674)
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  • French Southern Territories(+99)
  • Togo(+228)
  • Thailand(+66)
  • Tajikistan(+992)
  • Tokelau(+690)
  • East Timor(+670)
  • Turkmenistan(+993)
  • Tunisia(+216)
  • Tonga(+676)
  • Turkey(+90)
  • Trinidad & Tobago(+1 868)
  • Tuvalu(+688)
  • Taiwan(+886)
  • Tanzania(+255)
  • Ukraine(+380)
  • Uganda(+256)
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  • Uzbekistan(+998)
  • Vatican City(+379)
  • St Vincent(+1 784)
  • Venezuela(+58)
  • Virgin Islands (UK)(+1 284)
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  • Vietnam(+84)
  • Vanuatu(+678)
  • Wallis & Futuna(+681)
  • Samoa (western)(+685)
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  • Andorra(+376)
  • United Arab Emirates(+971)
  • Afghanistan(+93)
  • Antigua & Barbuda(+1 268)
  • Anguilla(+1 264)
  • Albania(+355)
  • Armenia(+374)
  • Angola(+244)
  • Antarctica(+8)
  • Argentina(+54)
  • Samoa (American)(+1 684)
  • Austria(+43)
  • Australia(+61)
  • Aruba(+297)
  • Åland Islands(+358 18)
  • Azerbaijan(+994)
  • Bosnia & Herzegovina(+387)
  • Barbados(+1 246)
  • Bangladesh(+880)
  • Belgium(+32)
  • Burkina Faso(+226)
  • Bulgaria(+359)
  • Bahrain(+973)
  • Burundi(+257)
  • Benin(+229)
  • St Barthelemy(+590)
  • Bermuda(+1 441)
  • Brunei(+673)
  • Bolivia(+591)
  • Caribbean NL(+599)
  • Brazil(+55)
  • Bahamas(+1 242)
  • Bhutan(+975)
  • Botswana(+267)
  • Belarus(+375)
  • Belize(+501)
  • Canada(+1)
  • Cocos (Keeling) Islands(+61)
  • Congo (Dem. Rep.)(+243)
  • Central African Rep.(+236)
  • Congo (Rep.)(+242)
  • Switzerland(+41)
  • Côte d'Ivoire(+225)
  • Cook Islands(+682)
  • Chile(+56)
  • Cameroon(+237)
  • China(+86)
  • Colombia(+57)
  • Costa Rica(+506)
  • Cuba(+53)
  • Cape Verde(+238)
  • Curaçao(+599)
  • Christmas Island(+61)
  • Cyprus(+357)
  • Czech Republic(+420)
  • Germany(+49)
  • Djibouti(+253)
  • Denmark(+45)
  • Dominica(+1 767)
  • Dominican Republic(+1 809)
  • Algeria(+213)
  • Ecuador(+593)
  • Estonia(+372)
  • Egypt(+20)
  • Western Sahara(+212)
  • Eritrea(+291)
  • Spain(+34)
  • Ethiopia(+251)
  • Finland(+358)
  • Fiji(+679)
  • Falkland Islands(+500)
  • Micronesia(+691)
  • Faroe Islands(+298)
  • France(+33)
  • Gabon(+241)
  • Britain (UK)(+44)
  • Grenada(+1 473)
  • Georgia(+995)
  • French Guiana(+594)
  • Guernsey(+44 1481)
  • Ghana(+233)
  • Gibraltar(+350)
  • Greenland(+299)
  • Gambia(+220)
  • Guinea(+224)
  • Guadeloupe(+590)
  • Equatorial Guinea(+240)
  • Greece(+30)
  • South Georgia & the South Sandwich Islands(+99)
  • Guatemala(+502)
  • Guam(+1 671)
  • Guinea-Bissau(+245)
  • Guyana(+592)
  • Hong Kong(+852)
  • Honduras(+504)
  • Croatia(+385)
  • Haiti(+509)
  • Hungary(+36)
  • Indonesia(+62)
  • Ireland(+353)
  • Israel(+972)
  • Isle of Man(+44 1624)
  • India(+91)
  • British Indian Ocean Territory(+246)
  • Iraq(+964)
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