Post Graduate Programme
in Data Science
Master popular fields like Artificial Intelligence, Machine Learning and Data Visualization with the leaders of Digital Education.11 months | Weekend only | Full-Time Programme | Intake – 30 students only | Program begins – 25th July 2020
Programme Overview
The Post Graduate Programme in Data Science will make you an expert in a combination of skills like Artificial Intelligence, Machine Learning, Data Visualization and more. The programme provides a comprehensive perspective of data science along with industry-based case studies, assignments, career guidance, and mentoring. With a comprehensive curriculum, framed by our expert mentors, this programme will equip you with the skillsets required to become an industry elite in this niche field.
This intensive weekend programme will include rigorous classroom training in all aspects of Data Science. You will also be expected to do a mandatory internship along with the course so you can apply your knowledge and gain some work experience.
The aim of the programme is to accelerate your career by providing a holistic learning experience both inside and outside the classroom at IIDE.
Programme Highlights
Mandatory
Internship
Career
Guidance
Industry
Mentorship
Communication Skills Training
Programme Curriculum
Blank
Introduction & Toolkits
Introduction to Data Science
- Overview of Data Science
- Different components of Data Science
- History and Evolution of Data Science
Introduction to Git
- Git Overview
- Code Versioning
- Best Practices
Algorithms and Logic Building
Algorithms and Logic Building
- Block Programming
- What is an Alogorithm
- Flowcharts
- Problem Decomposition
- Pseudo Code
Programming
Python
- Python Overview
- Setup and Python Evironment
- Python Syntax & Basic Python features
- Problem Solving with Python
Data Modification
- Data Modification with Python Numpy
Data Wrangling
- Data Wrangling with Python Panda
Data Visualization
- Data Visualization with Math Plot Lib
Statistics
Statistical Tools for Data Science
- Summarizing Data with Statistics
- Introduction to Probability
- Making inference from Data
Machine Learning & AI
Foundations of Machine Learning
- Introduction to Machine Learning
- Linear Regression
- Logistic Regression
- Supervised Learning
- Unsupervised Learning
Data Preparation for Machine Learning
- Exploratory Data Analysis
- Data Pre-processing Techniques
- Feature Selection Techniques
Machine Learning in Production
- Challenges in ML
- Deployment of ML model
- From Business Problem to Data Science Problem
Capstone Project & Compulsory Internship
Capstone Project & Case Studies
- Solving business problems using Data Science
Mandatory Internship
- Mandatory 2-month Internship with mentoring from Industry experts
51%Average
Salary Hike
9.5+Average
Mentor Rating
40+Sessions
8+Technologies
Tools you will master:
Faculty
Rudraprasad Das
HOD – School of Code
IIDE
Entrepreneur. Coder. Teacher.
Meherzad Karanjia
CLO, IIDE
Ex-Schbang, Head of Strategy & Media
Ratul Ramchandani
Founding member at Eugenie.ai
Customer Success Head at Fractal
Megha Agarwal Parikh
Business Development Head, IIDE
Ex-Delloite, Ex-EY
Rudraprasad Das
HOD – School of Code, IIDE
Entrepreneur. Coder. Teacher.
Meherzad Karanjia
CLO, IIDE
Ex-Schbang, Head of Strategy & Media
Ratul Ramchandani
Founding member at Eugenie.ai
Customer Success Head at Fractal
Megha Agarwal Parikh
Business Development Head, IIDE
Ex-Delloite, Ex-EY
Career Assistance
Our industry mentors help you carve out the best career path based on your skillset
The placement committee handholds you while crafting your resume and portfolio.
Multiple rigorous under pressure mock interviews
Mandatory internships which are graded into your final mark sheet prepare you for the practical world
A practical project in a simulated business environment will prepare you to enter the industry
Career Prospects
- Data Scientist
- Data Engineer
- Data Architect
- Machine Learninng Engineer
- Business Analysts
- Business Intelligence (BI) Developer
- Statistician
- Artificial Intelligence Engineer
Where Our Students Work
Admission Process and Eligibility
Bachelor’s Degree (10+2+3/4) in any discipline from the Universities recognized by University Grants Commission or Association of Indian Universities with Minimum 60% marks in aggregate or equivalent with 1-3 years of relevant work experience
OR
Eligibility 2
A student who has appeared for the final year last semester degree examination and has passed all previous semester examinations.
Has relevant work experience (internship) of 1-3 years while pursuing a graduate degree. (students with ATKT cannot apply)
Student’s degree/certification will be issued by IIDE on submission of their final year degree mark sheet/certificate
AND
Eligibility 3
Students possessing 60% & above score in the last academic record of mathematics.
Prior knowledge of programming languages such as C, C++, JavaScript, HTML, CSS, PHP, Python or Ruby will be preferred.
Check your eligibility, pay the fees for the IIDE Admissions Test, and fill in the application form in detail and take the Admissions Test. The test is designed to assess creativity, aptitude, communication, acumen, general knowledge to gauge the applicant’s vision & interest in Data Science.
Step 2: Application review
All applications are thoroughly reviewed by the admissions committee. Shortlisted students will be called for a personal interview during which they can present their portfolios.
Step 3: Personal Interview
Each shortlisted applicant will be personally interviewed by the admissions committee. Qualified applicants will receive a letter confirming the admission to the Post Graduate Programme in Data Science
Applications Open on April 1st, 2020
No cost EMI’s available from Rs. 20,000/month
*inquire for more information
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