PGD Data Science & AI

datascience new

According to International Data Corporation (IDC), a technology research company, global data analytics and big data market is likely to reach USD 57 billion by 2020 with a CAGR of 23%. This also means that there is going to be a bigger gap in demand and supply of data scientists, including professionals for information management, software development, data analytics, artificial intelligence and data discovery. Hence, Python, R, SAS, Machine Learning etc. have become the most sought after skills. PG Diploma in Data Science and AI with R and Python is aimed at equipping IT professionals, working professionals or technology graduates with the know-how of the data science field. The program will introduce machine learning as well Neural Networks, Artificial Intelligence and Business Intelligence. This program will also help the IT enterprises from the perspective of implementing machine learning and developing the resources to handle more intellectual work.

Free Counselling and Seminar on 23 Feb at 3 pm at SSOU Campus – Call 020- 67187768 to register.

  • FIRST classroom program in Data Science and Artificial Intelligence
  • Experienced Trainers having worked in multinational enterprises and technology projects
  • 70% learning through hands-on, practical, case studies and projects
  • Content curated with the help of sector skill councils and industry needs
  • Flexible batch timings to suit working professionals
  • Comprehensive 12 month program giving opportunity to ride the data science career
  • Optional Module on Basics of Math for Machine Learning – before start of the program
  1. Introduction to Data Science and Applications
    This course gives an overview of the basic concepts of data and tools that data analysts work with. The course cover various methods of obtaining data with various formats, also cover the basics of cleaning and visualising data.
  2. Statistical Inference
    This will cover fundamentals of statistical inference which helps the learner to understand the process of drawing conclusions about populations or scientific truths from data using different modes of performing inference.
  3. R Programming
    Module provides an in-depth understanding of R, R-studio, and R packages. Learner will learn how to program in R with the various types of functions, data structure, and perform data visualizations using the various graphics available in R. The course also covers the GitHub and working on the same.
  4. Python Programming
    This course helps the learner to understand the essential concepts of Python programming like data types, basic operators, and functions. Leaners will perform high-level computing using NumPy, SciPy packages along with the Pandas package used for data analysis and manipulation. Learner will gain expertise in machine learning using the Scikit package, matplotlib library for data visualization and BeautifulSoup for web scraping.
  5. Machine Learning with R and Python
    Module covers Data Processing, EDA Regression (Linear Regression, Support Vector Machine, Decision Tree, Random Forest Walk ) Classification (Logistic Regression, K-NN, SVM, Naïve Bayes, Decision Tree, Random Forest) Clustering (K- Means , Hierarchical) Association Rule Mining Eclat Dimensionality Reduction Model Selection & BoostingInstall R, RStudio
  6. Business Intelligence Tools
    Introduction to Advanced BI tools like Power BI or Qlik is covered
  7. Natural Language Processing
    Learn - How to build a Spam Detector, How to build a Twitter Sentiment Analyzer, NLTK, Latent Semantic Analysis – in this module.
  8. Neural Networks
    Topics covered include Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Boltzmann Machines, Tensorflow with Python
  9. Capstone Project
    Project in AI or automation in one of our focus sectors including Retail, Banking, Manufacturing, Education, SCM and others.
     Sudin Baraokar


Sudin is an Emerging Tech Innovator and Collaborator having served as Head of Innovation in SBI, Barclays, IBM & GE. Currently, he is a Global IT & Innovation Advisor to Global 1,000 Enterprises and Fintechs. He is also a Founder of a disruptive Fintech that is building the next generation Asset Exchange Platform, Asset Payment Network and Asset Management using Blockchain and AI and a DeepTech Startup and that automates the API, Model and Code Build using OTA and AI.
    Prabhakar Singh


At present, Prabhakar is working as Senior Consultant Strategy Operations with Palladium and PCMC City Transformation Office. Earlier, he has had experience working on cutting edge technologies at KPMG, Vinfotech as Product Manager, Principal Consultant and at Adwortech as Founder. His domain expertise include Healthcare, Banking, Smart Cities, Construction etc.

     Dr. Samee Sayyad


Dr. Samee is a researcher in Big Data, having completed his PhD in 2018. He has been teaching at SSOU as well as has experience of teaching subjects including Data Mining, Algorithms, Programming and Big Data. He works as Assistant Professor with SSOU

Duration: 12 months including Capstone Project

Week-end Batch: Saturday and Sunday, 5 hours each day, 10 am to 3.30 pm / 1 pm to 6.30 pm
Week-day Batch: Tuesday, Thursday, 3 pm to 6 pm & Friday 3 pm to 7 pm

Symbiosis Skills & Open University (SSOU), Kiwale, Village – Kiwale,
Adjoining Pune Mumbai Expressway, Pune - 412101 , Maharashtra, India.

Graduate or post graduate with good numerical and analytical skills, minimum 50% at graduate exam, orientation to mathematical subjects during graduate or post graduate studies, work experience preferred


IT professional with 2 years of experience in software development or databases – and having successfully completed courses in Linear Algebra and Statistics

Applicants will be interviewed and selected

Fees: Rs. 1,85,000

If you need more information on the content, we would like to suggest to you to attend one of our weekly counselling seminars. For any other information, you may call us at 020-67187777, 67187768 or

To fill up admissions form, click here

Last date of admissions – 15 July 2019

Admissions Open– 10 February 2019
Selection of Batch Announced – 15 June 2019
Last Date of Application – 14 June 2019
Optional ‘Basics of Math for Machine Learning’ begins – 20 June 2019
Regular Classes Begin – 1 July 2019

For any other information, you may call us at 020-67187777, 67187768 or