Advanced level program
PGP in Data Science
12 months | Live Instructor led | Weekend Online
Master Data Analytics, Machine Learning in 12 months
with India's #1 Data Science program.
100% Job Guaranteed*
Designed by mentors from
4.9/5
(1682+ ratings)
10000+
enrolled professionals
Talk to Learning Advisor
70631-19228
9 AM - 9 PM IST
Admission Deadline :
90%
Average Salary Hike
4000+
Career Transitions
10/10
Placement Assistance
Program Overview
This program includes:
11 Terms - Recommendation System,AutoML & GCP
Duration: 12 months | Weekend Online
Live Instructor led classes
Daily doubt clearing
Term projects & Capstone projects
No Cost EMI upto 12 months
Placement Support & Assistance
Industry immersion with top Data Science leaders
1:1 career mentorship sessions
Who should join?
Engineers, Project Managers, Consultants & Non-technical backgrounds (Teachers, Sales & Marketing) & anyone interested in upskilling in Data Science.
Job Opportunities
Decision Scientist, Machine Learning Engineer, Junior Data Scientist, Senior Data Scientist, Data Science Manager/Architect, Principal Data Scientist.
Want to Know More?
Every individual from various backgrounds must learn
Analytics to outshine in the competive world today!
- Suchit Majumdar, Chief Data Science Mentor, INSAID.
Program Syllabus
Term 1 : Data Analysis with Python
4 weeks
Data Science Fundamentals
Recap: Python for Data Science
Recap: Statistics for Data Science
Data Operation with Numpy
Data Manipulation with Pandas
Term 2 : Data Visualization Techniques
4 weeks
Introduction to Data Visualization
Data Visualization using Matplotlib
Hands-on Pandas for Rapid Visualization
Term 3 : EDA & Data Storytelling
4 weeks
Introduction to Exploratory Data Analysis
EDA Framework Deep Dive
Scientific Exploration of Industry Data - I & II
Student Presentations & Insight Delivery
Term 4 : Machine Learning Foundation
4 weeks
Introduction to Machine Learning (ML)
Linear Regression
Logistic Regression
Model Evaluation Techniques
Term 5 : Machine Learning Intermediate
4 weeks
Decision Trees
Random Forests
Dimensionality Reduction using PCA
Naïve Bayes Classifier
Term 6: Machine Learning Advanced
4 weeks
KNN (K- Nearest neighbors)
K-means Clustering
Ensemble Learning
Optimization
Term 7 : Recommender Systems
4 weeks
Introduction to Recommender systems
Content-Based Recommender systems
Collaborative Filtering Recommender systems
Hybrid recommender Systems
Term 8 : Time Series Forecasting
4 weeks
Introduction to Time Series analysis
Stationary vs non-stationary data
Interpreting autocorrelation & partial autocorrelation functions
Stationary data and implementing the ARIMA model
Term 9 : AutoML
4 weeks
Introduction to AutoMl
Applying AutoML
Automatic Hyperparameter tuning
On the Cloud
Term 10 : Model Deployment On Cloud
4 weeks
Introduction to Model Deployment and Cloud Computing
Model deployment using Django/flask
On Google Cloud Platform
Building ML Pipeline
Term 11 : Participating in Kaggle Competitions
4 weeks
Introduction to Kaggle
Kaggle vs. "Typical" Data Science
How to Get Started on Kaggle
Competing in Active Kaggle Competitions
Programming Languages & Tools
Completion & Merit Certifications
Live Projects and Case studies
50+ Topic wise Assignments
20+ Tools and Packages
Faculty & Mentors
Deepesh,
IIM-Calcutta
Nishkam,
Paypal
Amit,
Paytm
Lavi,
Subhodeep,
Jio
Neelmani,
Gojek
Work on world class Projects
Marketing strategies in Retail banking
Derive insights on how sucessful are the direct marketing campaigns of a Portuguese Bank.
What are the Characters in superhero comics
Identify the good, bad and the ugly nature of characters in Marvel comics.
What caused International crisis
Identify all factors which caused major international crisis events in the last 100 years.
DEFCON Level Classification
Classify the different DEFCON levels based on certain conditions.
Share your achievements
with your professional network
Globally recognized certifications
Unique certification ID
Lifetime validity
10000+
Professionals upskilled in
Data Science & AI.
90%
Average salary hike after career transition.
2-in-1
Get two Certifications - Completion & Merit
Our students work at
Recent Career transitions
GCD
(6 months)
GCDAI
(10 months)
GCDAI
(10 months)
GCDAI
(10 months)
GCD
(6 months)
GCDAI
(10 months)
GCD
(6 months)
GCDAI
(10 months)
Aditya Gundu
Sr Engineer Consultant (Software Dev)
Sr Engineer Consultant (DS)
Free Modules (worth INR 60K)
Power BI Course
Learn Power BI to render decision making easier with amazing dashboards.
SQL Course
Learn SQL in order to handle structured data in relational databases..
Industry Mentorship
Gain practical knowledge from Top Data Scientists
Job Guarantee | Add-on Service*
We’re rooting for your success with career transition
How job guarantee works?
- Project Portfolio & Certification
- Mock Interviews
- 6 month Profile Prep
Who should Opt?
- Working Professionals
- Freshers
- Professionals on a career break
Career Assistance Vs Job Guarantee
| Features | Career Assistance | Job Guarantee |
|---|---|---|
Data Science Career Launchpad |
Yes | Yes |
| Career Resources | Yes | Yes |
| Career focused Webinars | Yes | Yes |
| One-on-One with Career Coach | Quarterly | Monthly |
| Job Portal Access | Yes | Yes |
| Bespoke Resume | No | Yes |
| LinkedIn & GitHub Customization | No | Yes |
| Personalized Job Opportunities | No | Yes |
| Personalized Live Mock Interviews | No | Yes |
Career Assistance & Job Guarantee Features
1.
Data Science Career Launchpad: A flagship event to nominate the best Data Science students and honor them with awards
-
Resume Workshop
:Enables Professionals to create a stellar resume
-
GitHub Workshop
:Assists in preparing a wonderful Data Science portfolio
-
LinkedIn Workshop
:Encourages Professionals to create a Job Role specific profile
-
Featured Interview
:Students get an opportunity to share their journey and be featured on INSAID website
-
Data Science Leader Awards
:Only the chosen Participants get an opportunity to have an experience of Mock Interview sessions
2.
Career Resources: A Repository containing references of various useful resources pertaining to Job Role, Interview preparation and Brand building.
3.
Career focused webinars: A platform to learn, interact and acquire knowledge relevant to Data Science Job Roles, Portfolio building and cracking Interviews.
4.
One-On-One with Career Coach: Personalized sessions to help you in analyzing strengths and weaknesses and assisting you in shortlisting the right Job Roles and mapping the Career Roadmap.
5.
Job Portal Access: An easily accessible portal to hunt the right job opportunities based on specific skill- sets.
6.
Bespoke Resume: Personal advice on customized Resume building by shortlisting the appropriate and relevant keywords as per the Job Description.
7.
LinkedIn and GitHub Customization: Personal assistance in creating a stand out LinkedIn and GitHub profile.
8.
Personalized Job Opportunities: Close connect, recommendation and personal review sessions for identifying the Top companies and dream Job roles.
9.
Personalized Live Mock Interviews: A golden opportunity to be interviewed by the Data Science experts.
Job Guarantee Basic Pledge
Basic Eligibility criteria: Minimum education qualification: Undergraduate degree. Applicable for Indian Citizens looking for jobs in India
Job guarantee is a revolutionary program that assures you a job within 6 months of you passing the PGP certification exam. To be eligible for Job guarantee, you will
- Successfully complete PGP certification exam(70% passing requirement) & submit all Term quizzes, Term projects & Capstone projects with 70% score without any plagiarism.
- Build a “Job Briefcase”. We will help you build this Job Briefcase which will contain projects recommended by your career coach, articles originally authored by you, your resume etc. Continuous feedback will be provided to improve the strength of your Job Briefcase and tightly align it with identified Target roles. For example, you will iterate your resume 5 times with at least 20% improvement in each iteration. Your Job Briefcase will be given a continuous rating to make it better. Only when your Job Briefcase score becomes 4 on 5, you will be eligible for Job guarantee.
Once you meet the above conditions, your Job Guarantee program will start.
During the job guarantee program,
- Depending on your aspirations, years of experience, chances of transition, and overall profile, your career coach will prepare a career map and a “Target role” for you. You should apply to at least 10 openings per week in your Target role during 6 month job guarantee period. If you are on a career break or fresher, you will need to apply to at least 10 Target internships/week during a 6 month period.
- You will appear for 5 Mock Interviews for your target role. Feedback will be shared with you after each Mock interview. To be eligible for a job guarantee, you will need to score an average of 3 on 5 in these interviews. Interview score will be computed based on your communication skills, technical knowledge and ability to answer questions.
If you meet Job guarantee Basic Pledge and don’t get a job/internship offer during the 6 month Job guarantee period, Job guarantee add-on service fee of INR 30,000(if paid) will be fully refunded.
If you don’t meet four points mentioned in Job Guarantee Basic Pledge, you will not be eligible for any refund. However, you will continue receiving career support from INSAID.
Beyond the program advantage
Learning Resources & Technical Support
Dedicated resource center with 1000+ resources to ease your data journey. All 7 day of week technical support to answer all your technical queries.
Industry Immersion with Top Data Science Leaders
Monthly Speaker Connect
Your learning isn’t limited to the weekly sessions led by faculty but at INSAID we rope in top Data Science leaders across the world to help you gain not only practical insights but also prep you for cut throat competition.
International Summits
Every six months, we usually organize Data Science Summits inviting leaders from one entire geography. Most recent one being SEA - South East Asia Conference.
Placement Assistance
-
Carefully crafted program such as career launchpad which will help the candidates to polish their resume & GitHub profiles.
-
Participating in Mock interviews & get job ready Job.
-
Dedicate job opening portal to find your perfect role.
Lifelong Community Support
Life-time access to the resources, content and community support to clear your doubts.
Admission Process
STEP 1
Schedule call with learning advisor
To discuss career transition and end objectives
STEP 2
Apply for Scholarship
Apply for scholarship upto 70% on the entire program fee.
STEP 3
Start Learning
Get access to your dashboard and begin your journey with starter kits.
Program Fee
Program Fee (without scholarship)
INR 4,00,000 +GST
Program Fee (with 70% scholarship)
INR 1,41,600
(including GST)
EMIs Starting 7k/month*
No cost EMI options available*.
Student Reviews
Frequently Asked Questions
PROGRAM PRE-REQUISITES
1. Do I need to know Programming & Math before enrolling to a program?
There are certain prerequisites that have been set keeping in mind how important Python programming knowledge helps develop problem-solving and logical skills.Good knowledge of Descriptive and Inferential statistics is important for Exploratory Data Analysis to make the most out of ML algorithms and AI.
2. What is the minimum system configuration required?
Any latest processor (i3/i5/i7) with 2.0GHz clock speed and RAM 4GB (required), 8GB(recommended).
SYLLABUS & PROJECTS COVERED
1. How many projects can I expect to work on?
In the PGPDS program, you're expected to work on 11 Term Projects . Beyond these, we have a repository of 30+ projects from various domains on which you can work.
2. What's the difference between Term Project & Capstone Project?
Term Projects are individual projects specific to a particular term and will be shared post completion of every term. While Capstone Projects are closest to real world Data Science Project, where one has to apply different concepts learnt in the program.
3. What all topics are covered in the PGPDS Program?
Download our latest program brochure &
curriculum.
TIME COMMITMENT
1. How much time I've to spend?
Daily 30 mins of prep time is required. You can choose to practice, read or watch videos. And on weekends one must attend 2 hours of live classes on both Saturday & Sunday.
2. What is the duration of the program?
Every term is for 4-5 weeks approximately. And the overall PGPDS program duration is 9 months.
PROGRAM FEE & SCHOLARSHIPS
1. Are there any scholarships available?
Yes, INSAID Vision Scholarships (being funded by INSAID Vision Fund®️) provide upto 70% tuition waiver to deserving professionals. Our goal through these scholarships is to enable anyone from any financial background to be able to become a Data leader of tomorrow.
2. What is the criteria for getting the scholarship?
INSAID Vision Scholarship is available to anyone a) with a deep interest in next generation technologies like Data Science, AI, Big Data Analytics & IOT b) Wants to be a Data leader of tomorrow and has had a demonstrated professional success c) who will passionate serve INSAID's mission of putting India on the global AI map. To know more about this scholarship, talk to our Admissions today!
WHY INSAID
1. How's the PGPDS program different?
Three things make this program world class 1. Progressive Learning Architecture: INSAID's proprietary Progressive Learning Architecture ensures that irrespective of the background you are from, you will attain mastery in a step-by-step way 2. Concept-to-Context®️ Learning Framework: INSAID's Concept-to-Context®️ framework ensures that you are learning every Data Science concept in context of real world industry problems 3. INSAID Career Center: INSAID's mission is to groom Data leaders of tomorrow. INSAID Career Center helps you launch a Data Science career with 100% confidence.
2. Tell me more about Career Assistance?
INSAID offers career assistance through Data Science Career Launchpad. The student gets hands-on experience as a Data Leader with rigorous resume and GitHub building sessions. You will also learn to create a strong LinkedIn presence and develop top notch interview skills.
3. What's the refund policy?
Go through our Student Policy link.
Have more queries
related to career or program?
Call us +91 70631-19228 (or)
Schedule chat with our experts
Other popular programs
Advanced level program
100% Job Guaranteed*
PGP in Data Science
12 months | Live Instructor led | Weekend Online
Talk to Learning Advisor
70631-19228
9 AM - 9 PM IST
Admission Deadline : 18 Sep 2022
90%
Average Salary Hike
4000+
Career Transitions
10/10
Placement Assistance
Program Overview
This program includes:
11 Terms - Recommendation System,AutoML & GCP
Duration: 12 months | Weekend Online
Live Instructor led classes
Daily doubt clearing
Term projects & Capstone projects
No Cost EMI upto 12 months
Placement Support & Assistance
Industry immersion with top Data Science leaders
1:1 career mentorship sessions
Who should join?
Engineers, Project Managers, Consultants & Non-technical backgrounds (Teachers, Sales & Marketing) & anyone interested in upskilling in Data Science.
Job Opportunities
Decision Scientist, Machine Learning Engineer, Junior Data Scientist, Senior Data Scientist, Data Science Manager/Architect, Principal Data Scientist.
Want to Know More?
Every individual from various backgrounds must learn
Analytics to outshine in the competive world today!
- Suchit Majumdar, Chief Data Science Mentor, INSAID.
Program Syllabus
11 Terms
(12 months)
115+ hours of
live classes
55+ career
sessions
Term 1 : Data Analysis with Python (4 weeks)
-
Data Science Fundamentals
-
Recap: Python for Data Science
-
Recap: Statistics for Data Science
-
Data Operation with Numpy
-
Data Manipulation with Pandas
Term 2 : Data Visualization Techniques (4 weeks)
-
Introduction to Data Visualization
-
Data Visualization using Matplotlib
-
Hands-on Pandas for Rapid Visualization
Term 3 : EDA & Data Storytelling (4 weeks)
-
Introduction to Exploratory Data Analysis
-
EDA Framework Deep Dive
-
Scientific Exploration of Industry Data - I & II
-
Student Presentations & Insight Delivery
Term 4 : Machine Learning Foundation (4 weeks)
-
Introduction to Machine Learning (ML)
-
Linear Regression
-
Logistic Regression
-
Model Evaluation Techniques
Term 5 : Machine Learning Intermediate (4 weeks)
-
Decision Trees
-
Random Forests
-
Dimensionality Reduction using PCA
-
Naïve Bayes Classifier
Term 6 : Machine Learning Advanced (4 weeks)
-
KNN (K- Nearest neighbors)
-
K-means Clustering
-
Ensemble Learning
-
Optimization
Term 7 : Recommender Systems (4 weeks)
-
Introduction to Recommender systems
-
Content-Based Recommender systems
-
Collaborative Filtering Recommender systems
-
Hybrid recommender Systems
Term 8 : Time Series Forecasting (4 weeks)
-
Introduction to Time Series analysis
-
Stationary vs non-stationary data
-
Interpreting autocorrelation & partial autocorrelation functions
-
Stationary data and implementing the ARIMA model
Term 9 : AutoML (4 weeks)
-
Introduction to AutoMl
-
Applying AutoML
-
Automatic Hyperparameter tuning
-
On the Cloud
Term 10 : Model Deployment On Cloud (4 weeks)
-
Introduction to Model Deployment and Cloud Computing
-
Model deployment using Django/flask
-
On Google Cloud Platform
-
Building ML Pipeline
Term 11: Participating in Kaggle Competitions (4 weeks)
-
Introduction to Kaggle
-
Kaggle vs. "Typical" Data Science
-
How to Get Started on Kaggle
-
Competing in Active Kaggle Competitions
Programming Languages & Tools
Completion & Merit Certifications
Live Projects and Case studies
50+ Topic wise Assignments
20+ Tools and Packages
Faculty & Mentors
Work on world class Projects
Marketing strategies in Retail banking
Derive insights on how sucessful are the direct marketing campaigns of a Portuguese Bank.
What are the Characters in superhero comics
Identify the good, bad and the ugly nature of characters in Marvel comics.
What caused International crisis
Identify all factors which caused major international crisis events in the last 100 years.
DEFCON Level Classification
Classify the different DEFCON levels based on certain conditions.
Share your achievements
with your professional network
Globally recognized certifications
Unique certification ID
Lifetime validity
10000+
Professionals upskilled in
Data Science & AI.
90%
Average salary hike after career transition.
2-in-1
Get two Certifications - Completion & Merit
Recent Career transitions
Free Modules (worth INR 60K)
Power BI Course
Learn Power BI to render decision making easier with amazing dashboards.
SQL Course
Learn SQL in order to handle structured data in relational databases..
Industry Mentorship
Gain practical knowledge from Top Data Scientists
Job Guarantee | Add-on Service*
We’re rooting for your success with career transition
How job guarantee works?
- Project Portfolio & Certification
- Mock Interviews
- 6 month Profile Prep
Who should Opt?
- Working Professionals
- Freshers
- Professionals on a career break
Career Assistance Vs Job Guarantee
| Features | Career Assistance | Job Guarantee |
|---|---|---|
Data Science Career Launchpad |
Yes | Yes |
| Career Resources | Yes | Yes |
| Career focused Webinars | Yes | Yes |
| One-on-One with Career Coach | Quarterly | Monthly |
| Job Portal Access | Yes | Yes |
| Bespoke Resume | No | Yes |
| LinkedIn & GitHub Customization | No | Yes |
| Personalized Job Opportunities | No | Yes |
| Personalized Live Mock Interviews | No | Yes |
Career Assistance & Job Guarantee Features
1.
Data Science Career Launchpad: A flagship event to nominate the best Data Science students and honor them with awards
-
Resume Workshop
:Enables Professionals to create a stellar resume
-
GitHub Workshop
:Assists in preparing a wonderful Data Science portfolio
-
LinkedIn Workshop
:Encourages Professionals to create a Job Role specific profile
-
Featured Interview
:Students get an opportunity to share their journey and be featured on INSAID website
-
Data Science Leader Awards
:Only the chosen Participants get an opportunity to have an experience of Mock Interview sessions
2.
Career Resources: A Repository containing references of various useful resources pertaining to Job Role, Interview preparation and Brand building.
3.
Career focused webinars: A platform to learn, interact and acquire knowledge relevant to Data Science Job Roles, Portfolio building and cracking Interviews.
4.
One-On-One with Career Coach: Personalized sessions to help you in analyzing strengths and weaknesses and assisting you in shortlisting the right Job Roles and mapping the Career Roadmap.
5.
Job Portal Access: An easily accessible portal to hunt the right job opportunities based on specific skill- sets.
6.
Bespoke Resume: Personal advice on customized Resume building by shortlisting the appropriate and relevant keywords as per the Job Description.
7.
LinkedIn and GitHub Customization: Personal assistance in creating a stand out LinkedIn and GitHub profile.
8.
Personalized Job Opportunities: Close connect, recommendation and personal review sessions for identifying the Top companies and dream Job roles.
9.
Personalized Live Mock Interviews: A golden opportunity to be interviewed by the Data Science experts.
Job Guarantee Basic Pledge
Basic Eligibility criteria: Minimum education qualification: Undergraduate degree. Applicable for Indian Citizens looking for jobs in India
Job guarantee is a revolutionary program that assures you a job within 6 months of you passing the PGP certification exam. To be eligible for Job guarantee, you will
- Successfully complete PGP certification exam(70% passing requirement) & submit all Term quizzes, Term projects & Capstone projects with 70% score without any plagiarism.
- Build a “Job Briefcase”. We will help you build this Job Briefcase which will contain projects recommended by your career coach, articles originally authored by you, your resume etc. Continuous feedback will be provided to improve the strength of your Job Briefcase and tightly align it with identified Target roles. For example, you will iterate your resume 5 times with at least 20% improvement in each iteration. Your Job Briefcase will be given a continuous rating to make it better. Only when your Job Briefcase score becomes 4 on 5, you will be eligible for Job guarantee.
Once you meet the above conditions, your Job Guarantee program will start.
During the job guarantee program,
- Depending on your aspirations, years of experience, chances of transition, and overall profile, your career coach will prepare a career map and a “Target role” for you. You should apply to at least 10 openings per week in your Target role during 6 month job guarantee period. If you are on a career break or fresher, you will need to apply to at least 10 Target internships/week during a 6 month period.
- You will appear for 5 Mock Interviews for your target role. Feedback will be shared with you after each Mock interview. To be eligible for a job guarantee, you will need to score an average of 3 on 5 in these interviews. Interview score will be computed based on your communication skills, technical knowledge and ability to answer questions.
If you meet Job guarantee Basic Pledge and don’t get a job/internship offer during the 6 month Job guarantee period, Job guarantee add-on service fee of INR 30,000(if paid) will be fully refunded.
If you don’t meet four points mentioned in Job Guarantee Basic Pledge, you will not be eligible for any refund. However, you will continue receiving career support from INSAID.
Beyond the program advantage
Learning Resources & Technical Support
Dedicated resource center with 1000+ resources to ease your data journey.All 7 day of week technical support to answer all your technical queries.
Industry Immersion with Top Data Science Leaders
Monthly Speaker Connect
Your learning isn’t limited to the weekly sessions led by faculty but at INSAID we rope in top Data Science leaders across the world to help you gain not only practical insights but also prep you for cut throat competition.
International Summits
Every six months, we usually organize Data Science Summits inviting leaders from one entire geography. Most recent one being SEA - South East Asia Conference.
Placement Assistance
- Carefully crafted program such as career launchpad which will help the candidates to polish their resume & GitHub profiles.
- Participating in Mock interviews & get job ready Job.
- Dedicate job opening portal to find your perfect role.
Lifelong Community Support
Life-time access to the resources, content and community support to clear your doubts.
Admission Process
STEP 1
Schedule call with learning advisor
To discuss career transition and end objectives.
STEP 2
Apply for Scholarship
Apply for scholarship upto 70% on the entire program fee.
STEP 3
Start Learning
Get access to your dashboard and begin your journey with starter kits.
Program Fee
Program Fee (without scholarship)
INR 4,00,000 +GST
Program Fee (with 70% scholarship)
INR 1,41,600
(including GST)
EMIs Starting 7k/month*
No cost EMI options available*.
Student Reviews
Frequently Asked Questions
PROGRAM PRE-REQUISITES
1. Do I need to know Programming & Math before enrolling to a program?
There are certain prerequisites that have been set keeping in mind how important Python programming knowledge helps develop problem-solving and logical skills.Good knowledge of Descriptive and
Inferential statistics is important for Exploratory Data Analysis to make the most out of ML algorithms and AI.
2. What is the minimum system configuration required?
Any latest processor (i3/i5/i7) with 2.0GHz clock speed and RAM 4GB (required), 8GB(recommended).
SYLLABUS & PROJECTS COVERED
1. How many projects can I expect to work on?
In the PGPDS program, you're expected to work on 11 Term Projects . Beyond these, we have a repository of 30+ projects from various domains on which you can work.
2. What's the difference between Term Project & Capstone Project?
Term Projects are individual projects specific to a particular term and will be shared post completion of every term. While Capstone Projects are closest to real world Data Science Project, where
one has to apply different concepts learnt in the program.
3. What all topics are covered in the PGPDS Program?
Download our latest program brochure &
curriculum.
TIME COMMITMENT
1. How much time I've to spend?
Daily 30 mins of prep time is required. You can choose to practice, read or watch videos. And on weekends one must attend 2 hours of live classes on both Saturday & Sunday.
2. What is the duration of the program?
Every term is for 4-5 weeks approximately. And the overall PGPDS program duration is 9 months.
PROGRAM FEE & SCHOLARSHIPS
1. Are there any scholarships available?
Yes, INSAID Vision Scholarships (being funded by INSAID Vision Fund®️) provide upto 70% tuition waiver to deserving professionals. Our goal through these scholarships is to enable anyone from any
financial background to be able to become a Data leader of tomorrow.
2. What is the criteria for getting the scholarship?
INSAID Vision Scholarship is available to anyone a) with a deep interest in next generation technologies like Data Science, AI, Big Data Analytics & IOT b) Wants to be a Data leader of tomorrow
and has had a demonstrated professional success c) who will passionate serve INSAID's mission of putting India on the global AI map. To know more about this scholarship, talk to our Admissions
today!
WHY INSAID
1. How's the PGPDS program different?
Three things make this program world class 1. Progressive Learning Architecture: INSAID's proprietary Progressive Learning Architecture ensures that irrespective of the background you are from,
you will attain mastery in a step-by-step way 2. Concept-to-Context®️ Learning Framework: INSAID's Concept-to-Context®️ framework ensures that you are learning every Data Science concept in
context of real world industry problems 3. INSAID Career Center: INSAID's mission is to groom Data leaders of tomorrow. INSAID Career Center helps you launch a Data Science career with 100%
confidence.
2. Tell me more about Career Assistance?
INSAID offers career assistance through Data Science Career Launchpad. The student gets hands-on experience as a Data Leader with rigorous resume and GitHub building sessions. You will also learn
to create a strong LinkedIn presence and develop top notch interview skills.
3. What's the refund policy?
Go through our Student Policy link.
Discuss your Goals
