Recommnded 18-23 hrs/week
23th October 2021
Next Batch starts on
About the Program
The Data Science PG Program is a post-graduation program that includes advanced coursework in artificial intelligence, machine learning, neural network, and high-performance computing. A well-known track specifically for studies in data science (the DSPGP with IBM) is available.
Join the ranks of technology industry visionaries who have degrees from IBM, Data Science is part of the largest alumni network in the country, with 250,000+ alumni worldwide. Wherever you are in the world, you’re never far from fellow ibm.
Personalised 1:1 chat with mentors. ask all your questions to whomsoever mentor you want to connect. Get a dedicated student mentor with proactive support every step of the way.
232 Hrs Instructor Led Training
253 Hrs Project work & Exercises
Certification and Job Guaranteed
Lifetime Free Upgrade
Ideal for both Working and Fresh Graduates
104 Hrs Self-paced Videos
24 x 7 Live Support & Access
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects
Programming Languages and Tools Covered
WILL I GET CERTIFIED?
Upon successful completion of this data science program, you’ll earn an IBM- endorsed certification that will significantly strengthen your resume.
EARN YOUR CERTIFICATE
SHARE YOUR ACHIEVEMENT
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
Machine Learning with Python
Introduction to Machine Learning
Python for Machine Learning
Supervised vs Unsupervised
Introduction to Regression
Simple Linear Regression
Model Evaluation in Regression Models
Evaluation Metrics in Regression Models
Multiple Linear Regression
Introduction to Classification
Evaluation Metrics in Classification
Introduction to Decision Trees
Building Decision Trees
Intro to Logistic Regression
Logistic regression vs Linear regression
Logistic Regression Training
Support Vector Machine
Intro to Clustering
Intro to k-Means
More on k-Means
Intro to Hierarchical Clustering
More on Hierarchical Clustering
Intro to Recommender Systems
Content-based Recommender Systems
Introduction to Data Science & Analytics Techniques
- Introduction to Data Science
- Introduction to Python
- Data Analysis Pipeline
- What is Data Extraction
- Types of Data
- Raw and Processed Data
- Data Wrangling
- Overview of the Analytics Techniques
- Business Intelligence
- Business Analytics
- Industry Examples
SQL for Data Science
Introduction to SQL
DDL & DML Statement
SELECT Statement AGGREGATE functions
WHERE, ORDER BY, DISTINCT, GROUP BY, LIKE, AND & OR clause
UPDATE & DELETE query
UNION, UNION ALL, INTERSECT
Using VIEWS & INDEXES
NULL values & DATE function
- Array Creation
- Data Type Objects
- Data type Object (dtype) in NumPy
- Basic Slicing and ALinear Algebra
- Sorting, Searching and Counting
- Set 1 (Introduction)dvanced Indexing
- Iterating Over Array
- Binary Operations
- Mathematical Function
- String Operations
- Set 2 (Advanced)
- Multiplication of two Matrices in Single line using Numpy in Python
6 Month Internship
Live Projects in an Internship Company with access to Virtual Cloud based Linux System
Statistics & Probability
- Data definition
- Raw and Processed data
- Data Types (NOIR)
- Measure of Central Tendency
- Measure of Dispersion
- Measure of Association
- Basic terminology
- Rules and Events
- Conditional probability and Bayes theorem
- Uniform Distribution
- Binomial Distribution
- Poisson Distribution
- Geometric Distribution
- Gaussian Distribution
- Standard Normal Distribution
- Central Limit Theorem
- Estimation technique
- Hypothesis Testing (t-statistic calculations)
- Random Sampling,
- Stratified Sampling
Introduction to NLP
- Syntactical Parsing
- Text Preprocessing
- Text to Features (Feature Engineering on text data)
- Noise Removal
- Lexicon Normalization
- Object Standardization
- Dependency Grammar
- Part of Speech Tagging
- Entity Parsing
- Phrase Detection
- Named Entity Recognition
- Topic Modelling
- Statistical features
- TF – IDF
- Frequency / Density Features
- Readability Features
- Word Embeddings
- Important tasks of NLP
- Text Classification
- Text Matching
- Levenshtein Distance
- Phonetic Matching
- Flexible String Matching
- Important NLP libraries
- Creating a Pandas DataFrame
- Dealing with Rows and Columns in Pandas DataFrame
- Indexing and Selecting Data with Pandas
- Boolean Indexing in Pandas
- Conversion Functions in Pandas DataFrame
- Iterating over rows and columns in Pandas DataFrame
- Working with Missing Data in Pandas
- Working With Text Data
- Working with Dates and Times
- Merging, Joining and Concatenating
- Data visualization using Bokeh
- Exploratory Data Analysis in Python
- Data visualization with different Charts in Python
- Data Analysis and Visualization with Python
- Math operations for Data analysis
Data Analysis & Wrangling
- Data Analysis Pipeline
What is Data Extraction
Types of Data
Raw and Processed Data
Exploratory Data Analysis
Hours Content Available
Programming Tools/ Languages
HOW DO YOU TRAIN?
Hands-on experiential learning is the core of our training methodology, because becoming a well-rounded professional takes much more than just rote learning. Our IBM curriculum places special emphasis on building analytical skills through hands-on practice.
Go beyond traditional rote learning through the use of projects that simulate challenges faced by the industry.
Real-world use cases and complex business scenarios that prepare you for the transition from academics to industry.
Live Capstone Project
Work on a live business problem on completion of your course, guided by a dedicated Project Mentor.
Learn on a state-of-the-art IBM virtual lab, with 24/7 access on tools such as Python and IBM Watson.
Learn through real-life industry projects sponsored by top companies across industries
Benefit by learning in-person with expert mentors
Engage in collaborative projects with student-mentor interaction
Personalised subjective feedback on your submissions to facilitate improvement
Car review blogs and tweets analysis
Customer engagement and brand perception of Indian ecommerce - A social media approach
IMDb Movie Analysis
Analyze movie data from the past hundred years and find out various insights...
Prediction of user's mood using the smartphone data
Logistic Regression, Random Tree, ADA Boost, Random Forest, KSVM
WHAT CAREER SUPPORT WILL I GET?
Our Career Service team will offer you support, actionable tips and tricks as you learn AI with Bygrad to successfully bag that coveted machine learning job.
Revamping your resume to attract recruiter attention and leave a great first impression in any interview you attend.
Role-playing during mock interviews and Q&A rounds to mentally prepare you for success.
6 Months internship ensures you graduate as an experienced data science professional rather than a fresher. You can go for an online internship along with your current job.
We generate the Ability Score of every individual which is then sent to our more than 300+ recruitment partner organizations. At last, we organize campus placements every three months in Noida, Gurgaon, Ahmedabad, Bangalore, Mumbai and Chennai to place our students.
Our Learners Work At
Top companies from all around the world have recruited Bygrad alumni
Average Salary Hike
There are 3 simple steps in the Admission Process which is detailed below
Step 1: Fill in a Application Form
Step 2: Get Shortlisted & Receive a Call
Step 3: Block your Seat & Begin the Prep Course
Fill up the Application Form and one of our counselors will call you & understand your eligibility.
Our Admissions Committee will review your profile. Upon qualifying, an Email will be sent to you confirming your admission to the Program.
Block your seat with a payment of INR 10,000 to enroll in the program. Begin with your Prep course and start your Data Science journey!
Program Price INR 99,000 ( $1,350 ) + 18% GST
No Cost EMI options available*
Get this PG in Data Science program while working
Industry recognized certificate from IBM
28% annual growth in job openings
6 Months online Internship part of the core curriculum
Batch Start Dates
23th oct 2021
Frequently asked questions
What is the Executive PGP in Data Science with Bygrad?
The Executive PGP is an engaging yet rigorous 12-month online program designed specifically for working professionals to develop practical knowledge and skills, establish a professional network, and accelerate entry into data science careers. The certification is awarded by IBM.
What will be the impact of Data Science in 2021
Data science is an essential part of any industry today and will continue to be, given the massive amounts of data produced. Meaning both data and the demand for Data Science professionals is only going to rise.
Will the program guarantee me a placement?
Our preparation, you will get a great deal of project work and an \"Ability Score\" (figured based on your execution all through different stages). We at that point forward your project work and ability Score to organizations, your projects fill in as a proof (portfolio) of your range of abilities which when joined with our ability Score gives them a far-reaching examination of your insight identified with your activity profile. Organizations don't get this sort of investigation or straightforwardness anywhere else, and subsequently, they get you hired. Additionally, they get a confirmation that they are not employing a new kid on the block but rather a trained professional who will be productive from day one.
How do I earn the post graduate program certificate?
Post successful completion of the program, you will get two certificates - one for the training and another for your project work.
How does refund or money back work in case I am not placed
Although it will not likely to happen to see our past success rate. We will try every inch of our efforts to place you. However, in case if we fail to do so, we will refund the fee directly into your bank account within 6 months of your course completion date. No questions asked. Click here for more details.
Is there any minimum educational qualification required to take this program?
Although we believe that skills are enough to get you hired, however, some companies hiring for Data Scientist profile in the industry will expect following out of you.
FRESH GRAD OR A COLLEGE STUDENT
A degree in B.Tech/M.Tech (Any Trade), BCA, MCA or B.Sc (Statistics or Mathematics), BA (Maths or Economics or Stats), B.Com.
What are last placement record?
Please be assured, we were able to place our last 3 batches with a minimum package of 4.3 lakh, an average package of 5.5 lakh and the highest package of 15.3 lakh.
What are the top job roles in the field of Data Science?
Data Scientist is named the sexiest job of the 21st century and for all the right reasons - the opportunities, salary potential, demand, and more. Following which, other Data Science job roles are in demand too: Data Analyst, Business Analyst, Data Engineer, and Data Architect.
I am not from a technical background. Can I still join this Data Science Course?
Yes, you can join the Data Science PG Program even if you do not belong to a technical background. However, having a basic knowledge of programming languages and mathematics will be beneficial. We will teach you maths and stats at a very beginner level.