Raining offer! Flat ₹8,000 OFF on our Career Programs - Limited Time Offer

Live classes

Become a Data Science Professional with IIT-M Pravartak Certification in Advanced Programming Course

Learn in English, Hindi & தமிழ்

Build a progressive career in Data Science with Placement Guidance of Zen-Class. Get hand-on experience by working on Real-time Projects.

4.8 (1543)

Duration

3 to 5 Months

I'm Interested

NameEmailPhone

Educational Qualification Current Profile

Do you have a discount coupon?

By clicking Submit, I authorize GUVI Team to Call me, receive SMS/Messages about its products & offers. This consent will override any registration for DNC/ NDNC

With Industry Experts from

And more...

Duration

3 Months (Weekdays) / 5 Months (Weekends)

Format

Online

Placement

Placement Guidance

Hiring Partners

200+ Companies

EMI Options

Upto 12 months

Course

Live Online Classes + Lifetime access to Recorded Videos

About GUVI's Data Science Course

IIT-M Pravartak Certified Advanced Programmer with Data Science Mastery Program is a leading-edge Technological Program paving your way to an assured lucrative career. It is an integrated course directed by GUVI - an IIT-M incubated company. Instructed by the industry’s best Technical Experts & Founders(Ex-Paypal Employees), this program offers mentorship through Data Experts and directs you to the Fortune 500 companies. The vision is to make the premium organizations discover the Right talent through GUVI’s Zen Class.

Program Overview

A program designed by Subject Matter Experts & Approved by NASSCOM

Live Online Classes + Lifetime recorded videos

Unlimited access to practice on CodeKata, Webkata and IDE

One-on-One with Mentors

Ask-me-Anything sessions with Industry Experts

IIT-M Pravartak Certification for Advanced Programming Professional

Placement Guidance

A digital portfolio through "Github"

EMI options available(Upto 12 months) with 7-day Refund Policy

Tools Covered

Data Science

Python

MySql

Tableau

Power BI

NLP

Machine Learning

Data Visualization

Computational Thinking

NumPy

Pandas

Download Brochure

Get a peek through the entire curriculum designed that ensures Placement Guidance

Instructors

Learn from India’s top Industry Leaders

Mr Sudarshan S R

Associate Professor, IIT-Ropar

Mr Koushik Krishnan

Data Science Analyst at Credit Suisse

Mr Bala Chandar

Data Scientist, US-based client

Mr Abhishek

Data Scientist, Bosch

Mr Vinish Vivek

Consultant - Python

Mr Shyam Kumar

Machine Learning Solutions Lead

Ms Neeru Dubey

Research Scientist

Mr Thillaikkarasan M

Lead data scientist

Mr Jagadeesh Rajarajan

Senior staff engineer - Data Science

Mr Amit Kumar Verma

Applied Research Scientist at CoreCLM (seattle, USA), Ph.D - IIT Ropar

Course Syllabus

This program's curriculum is comprehensively designed to help learners acquire data science competencies while working with hands-on projects using prominent technologies like Python, MongoDB, Pandas, Numpy, Tableau & PowerBi Data Methods. Join the league of Emerging Data Scientists who utilize their best skills to find the best trends and to manage the data as analytical Data Experts.

Module 0

Pre-BootCampThis week you will go through the basics of competitive programming and data sciencew as well as well we will come across the current industry trends in Data Science

Module 1

PythonWe will go through the basics of python with all essential beginner friendly concepts of python programming like datatypes, loops, data structures and functions, followed by assessments and assignments

Module 2

Python - AdvancedSince we have the essential basics of python we will see some advanced concepts like Comprehensions, File handling, Regular Expressions, Object-oriented Programming, Pickling and many more essential concepts.

Module 3

Algorithmic thinking with PythonWe will explore the need for Algorithmic Thinking and the necessity of efficient coding, we will drive through Data Structures and Algorithms along with Memory Management Techniques

Module 4

Data handling in Python - Pandas & MongoDBSince we need to handle huge amounts of data, we will be implementing data handling techniques with Pandas library. And we will explore the different miscellaneous functions of Pandas library in detail.

Module 5

SQLWe will drive into the SQL-based database. We will learn the basics of SQL queries, schemas and normalization.

Module 6

SQL - Continuedwe will continue into the SQL-based database. We will learn the SQL Advanced queries, join, Date and Time Functions and SubQueries.

Module 7

Probability and Statistics with NumpyWe will go through Probability and Statistics whereas they are key to understand, process and interpret the vast amount of data, we will deal with the basics of probability and statistics like Probability theory, Bayes theorem, distributions etc and their importance. Besides that, we will do hands-on with Numpy upon those concepts

Module 8

Probability and Statistics with Numpy - ContinuedWe will continue with statistics and probability and we will deal with descriptive and inferential statistics along with Hypothesis testing and a lot of other relevant statistics methods

Module 9

Data Visualisation in Python (Matplotlib/Seaborn/Plotly)Data Visualization is used to understand data in a visual context so the patterns, trends and correlations in the data can be understood. We will do a lot of visualization with libraries like Seaborn, Matplotlib etc in turn that leads to effective storytelling.

Module 10

Data Engineering with PythonIt is always needed to analyze the data and preprocess it, since the real world data is not always industry ready, so in this week we will be dealing with a lot of data cleaning and Exploratory data Analysis techniques which is a very crucial stage for any data science project.

Module 11

Exploratory Data Analysis with PythonReal world data is always messy and it's very important to understand the statistical nature of data. Exploratory Data Analysis process, involving the preliminary examination of data to understand its characteristics, uncover patterns and identify potential insights.

Module 12

Machine Learning with SklearnWe are going to explore the need of machine learning and its types, Algorithms when to use and how to use essential mathematical intuition along with Evaluation metrics. We will see in detail about regression algorithms.

Module 13

Machine Learning with SklearnIn continuation to the ML algorithms we are going to see in detail about different classification algorithms along with mathematical intuition and evaluation metrics

Module 14

Machine Learning with Sklearn - ContinuedWe are going to explore classification algorithms like tree based algorithms in detail like how to interpret trees, pruning and ensemble methods like bragging and boosting etc

Module 15

Machine Learning with Sklearn - ContinuedAfter dealing with a lot of Supervised machine learning algorithms we will compare and get to know when to use what, Besides that we will deal with the do’s and don'ts while training an ML model.

Module 16

Machine Learning with Sklearn - ContinuedNow we will explore Unsupervised learning algorithms, why unsupervised ?, when to use it and as well as the essential mathematical intuition

Module 17

Deep learningAs we move on to more complex problems, such as object recognition and text analysis, our data becomes extremely high dimensional, and the relationship becomes nonlinear. To accommodate this complexity, we move on to building more complex models that resemble our brain.

Module 18

Deep learning with PyTorchNow that we have a better theoretical understanding of deep learning models, we will spend this module implementing some of these algorithms in PyTorch

Module 19

Deep Learning with PyTorch continuedNow that we have the basic understanding of PyTorch, we will now dive into discussing the implementation details of a few state-of-the-art deep learning architectures in PyTorch

Module 20

Natural Language ProcessingWe are going to explore Natural Language Processing (NLP). Given the fact that we have a decent understanding of Machine Learning and Deep Learning, we can now explore the powerful ways to handle the NLP usecases

Module 21

Computer VisionHaving a basic understanding of NLP use cases, now we will dive into the CoPputer Vision FundaPentals. We will discuss state-of-the-art CV problePs and their solutions with deep learning.

Module 22

Model Deployment in AWS Cloud PlatformHaving a good understanding of ML, DL and various use cases, we will now discuss the platforms through which we can securely deploy these powerful models on production level. More specifically; we will discuss the fundamentals of AWS services and how to use them efficiently

Module 23

Putting it together - Solving DS problemsThis whole week we are going to work on industry projects which are currently in demand in the guidance of industry experts

Module 24

Mock InterviewsEventually, it's time to attend the mock interviews which will be conducted by the industry experts like Data scientists, IIT professors and renowned HR's inorder to mould you in every area possible

Download Syllabus

Online Learning with Weekend/Weekday Live classes and Mentoring Sessions

Enroll Now

Projects

Create a Personalized Video Recommendation System, Like YouTube's

This project aims to build a recommendation engine that suggests videos tailored to a user's interests, similar to YouTube's recommendation system, enhancing the user's content discovery experience.

Classify News Articles, Inspired by BBC, Using NLP

This project involves text classification using natural language processing to categorize news articles, similar to the way the BBC organizes its news.

Perform Sentiment Analysis on Flipkart Product Reviews

This project will analyze customer reviews on Flipkart to determine the sentiment and provide valuable insights for both customers and sellers.

Predict Airbnb Property Prices for Informed Booking Decisions

The project focuses on predicting Airbnb property prices based on various factors, empowering users to make informed booking decisions.

Predict Fair Prices for Uber Rides

In this project, data analytics will be employed to predict fair and competitive prices for Uber rides, ensuring transparency and customer satisfaction.

Build an Intelligent Visual and Textual Analysis Tool As like Google Lens

This project focuses on creating a tool that combines computer vision and natural language processing to analyze images and text, providing insights and information, similar to Google Lens.

We are Accredited by

Certification

Enroll Now

Data Science course completion makes you eligible for 6 industry-recognized certifications.

How will I benefit from this certification?

IIT-M Pravartak Certification for an Advanced Programming Professional
Get 5 Certifications from GUVI
Complements your abilities in interviews
Honors your skillset on LinkedIn
Projects a Career Growth

Enroll Now

Our Happy Learners

Job Placements

As a skilled professional and a Guvian bolstered with Placement Guidance, you stand a genuine chance of landing your dream job!

How does our Program work?

Enroll in our Data Science Program
Attend Live classes + Pursue self-paced learning
Complete the projects assigned by Industry Experts
Secure a Digital Portfolio in “Github”
Attend Mock Interviews with our HR team & Technical Round with Industry Experts

Program Fee:

₹ 1,25,000₹ 86,999(Inclusive of GST)

PreBook your seat by Paying ₹ 8000 (Refundable) and Attend our Prebootcamp Session.

Up to 12 months EMI* option Available
Learn at your own Pace
Evaluate the Prebootcamp (Free Sessions) with 100% Refund Gaurantee
7-Day Refund Policy

Where do our students work?

Our Learners

"For freshers, GUVI is the best place they could start from. The interactive tutorials on their site helped me to track the progress and also keeps me motivated in completing them."

Karthikeyan Parthiban

"Guvi helps me to learn technology and to improve my coding skills and logical pr oblem-solving ability. I got an opportunity to attend an interview in PayPal via guvi and I got an offer at PayPal. Guvi is a great platform when it utilized in right manner."

Mohanraj N

"Computers are getting smarter all the time, Guvi helps people to adapt to smartness in Coding & in terms of building logic to programmers.It made coding easier and interesting by learning it in our native language."

Dhanush N

"The data science course is excellent; the explanation of concepts was crisp. The instructors have good depth in the subject and solve every doubt one might have. Thanks to GUVI for setting a great structured program."

Diliban Sibi

"GUVI is one of the best platforms to start a new course and a new career. Advanced Programming and Master Data Science is one of the best programs trained by industry experts. It has its software to practice and a vast number of exercises."

Tejas Samanthapudi

"Guvi offers a pleasant, supportive and friendly environment to learners. With excellent support and 24*7 assistance from the mentors, guvi does not leave any stone unturned to improvise your learning. Thanks for being such an inspiration to us."

Gokak Mohd Ishtiyaque

Unlimited Access to all our Practice Platforms

Codekata

A tool-kit specifically developed to boost the coding skills and makes you ever-ready to crack interviews.

IDE

GUVI IDE is an Integrated Development Environment that lets you write, edit, run, test & debug your code.

WebKata

A cloud-based module to hone your front end skills without any hassle of local environment setup.

Frequently Asked Questions

Who can take this course?

Any aspirant with a minimum High School qualification and an interest in Data Science is eligible for this course. Guvi experts would gladly take it forward.

What is the Course Duration?

Data Science is a course of 3 months with weekday classes & 5 months with weekend live classes

How do I complete this course?

Being a project-based curriculum, every student has to work & submit the projects with our Industry experts’ guidance. MCQs & assessments help evaluate your performance. After the successful completion of the course, GUVI will grant a globally recognized course completion certificate.

What is the format of the course?

This Data Science program is offered as Weekend/Weekday Live classes. We also provide the recordings of the sessions.

What is the Seat Blocking Procedure? Any Pre-booking charges?

You can book your seats with a ₹8,000 Pre-book charge. It is a refundable amount. It is for booking your slot so that you may not miss your preferred batch.

What if I miss any live classes? How long do I have access to the learning contents and practice platforms?

Guvi provides you with a recording of every class with unlimited access to all the practice platforms. So, you barely get a chance to miss out on anything while being a Guvian!

What is the Fees Structure?

Pay just ₹8,000 and Pre-Book your seat. Program Fee ₹~~1,25,000~~ ₹86,999(incl.taxes).

What is the Project submission format?

You can submit the projects either Online or Offline.

What is the EMI payment process?

You can avail the EMI payment option of upto 12 months. For more details, write an email to [email protected]

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

Request Callback

Call Us

Become a Data Science Professional with IIT-M Pravartak Certification in Advanced Programming Course

Learn in English, Hindi & தமிழ்

I'm Interested

About GUVI's Data Science Course

Program Overview

Program Overview

Tools Covered

Download Brochure

Instructors

Course Syllabus

Projects

We are Accredited by

Certification

How will I benefit from this certification?

Our Happy Learners

Job Placements

Program Fee:

₹ 1,25,000₹ 86,999(Inclusive of GST)

PreBook your seat by Paying ₹ 8000 (Refundable) and Attend our Prebootcamp Session.

Where do our students work?

Our Learners

Karthikeyan Parthiban

Mohanraj N

Dhanush N

Diliban Sibi

Tejas Samanthapudi

Gokak Mohd Ishtiyaque

Unlimited Access to all our Practice Platforms

Codekata

IDE

WebKata

Frequently Asked Questions

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

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