#1World's Top Research University
12 Months
Executive Friendly
2 Campus visits of
2 days each
100%LIVE Interactive Classes

3 Reasons Why This Programme is Unique

1 Learn from the Leading Faculty at IISc, World’s
Top Research University*

Designed by IISc’s Computational and Data Sciences Department
Taught by 5 Engineering and Management Sciences Faculty from IISc
Curated Industry Capstones, and option to Bring Your Own Project
360° Learning on TalentSprint’s best-in-class Pracademic Platform
12 Month Online Live Interactive Sessions
1:1 Mentoring by Industry and Academia Experts

2 Demonstrate your expertise to get an edge in your career

Build compelling Data Stories to chronicle your learning journey
Strengthen your resume by showcasing your expertise through Data Stories

3 Reboot your career for the post-pandemic hyper-digital economy

Get ready for a new world where Data Science is transforming business and society at an unprecedented pace
Design, build and deploy solutions to take data-driven real-world decisions
Derive lifelong benefits from TalentSprint’s growing network of Data Scientists

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Gain the IISc Bangalore Advantage

IISc (Indian Institute of Science) tops among the oldest and the finest higher education institutes of India. It pursues excellence in research and education in several fields of Science and Engineering and is one of the first three publicly funded institutes to be awarded the Institute of Eminence status. The alumni of IISc hold significant academic and industry positions around the globe. For more information visit https://www.iisc.ac.in.

The PG Level Advanced Certification in Computational Data Science will be delivered by IISc’s Centre for Continuing Education (CCE). CCE delivers courses suitably designed to meet the requirements of various target groups, eg: research & development (R&D) laboratories and industries, research scientists and engineers, to enable them to grow into competent managers of technology-intensive and data-driven organizations. For more information visit http://cce.iisc.ac.in.

QS Rankings #1 World's Top Research University
NIRF #1 University (2016, 2020 and 2022) Research university (2022)
#1 Times Higher Education University in India (2020)
2 Bharat Ratna Awardees (1954, 2014)
RUR #62 World Ranking (2020)

Computational Data Science Course Overview

Are you a working professional looking to build expertise in Data Science? Look no further than the PG Level Advanced Certification course in Data Science offered by Indian Institute of Science (IISc) in association with TalentSprint. This highly sought-after programme offers a unique 5-step learning process, including LIVE online faculty-led interactive sessions, capstone projects, mentorship, case studies, and data stories.

Taught by world-class faculty from a global institution and supplemented with industry learnings, this 12-month programme is best suited for professionals who want to gain practical hands-on experience in solving real-life challenges. The programme teaches participants how to build powerful models to generate actionable insights, necessary for making data-driven decisions.

With an overwhelming response, this programme has enabled 620+ professionals to build Data Science expertise. Don't miss the opportunity to gain an in-depth understanding of the mechanics of working with data and identifying insights. Enroll now and take your career to the next level with the PG Level Advanced Certification course in Computational Data Science.

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Real-World Curriculum

Cutting-edge curriculum that reflects the latest and proven industry practices

M0: Bridge Module
- Python
- Pandas, Seaborn, Data Munging
- Variables, Matrices, Functions, Derivatives
- sklearn TF2, keras
- Google Data Studio
M1: Foundations of Data Science
- Probabilistic Description of Events and Data: Probability Axioms, Random Variables, PDF, PMF, Conditional Probabilty, Independence, Expectation, Variance
- Statistical Learning, Experiment Design, Confidence Interval and Hypothesis Testing
- Bayesian Learning
- Univariate and Multivariate Calculus, Norms of Vectors and Functions
- Taylor's theorem and Automatic Differentiation
- Fundamentals of Linear Algebra Spaces
- Machine Learning Tools
Mini-Project in Foundations of Data Science (Bayesian Learning, Data Handling, Probability)
M2: Machine Learning
- The ML Process: Problem Formulation to Solution
- Linear Regression, Bias/Variance, Regularization, Stochastic Gradient Descent
- Linear Classification: Logistic Regression, Linear SVM, Classification Metrics (Confusion Matrix)
- Nonlinear SVM, Decision Tree
- Ensemble Methods: Random Forest, Gradient Boosting
- Unsupervised Learning: Clustering, Anomaly Detection
Mini-Projects in Machine Learning Algorithms in Multiple Domains (Rental Business, Healthcare, Banking, NLP, Customer Segmentation)
M3: MLOps at Scale
- Object-oriented programming (OOP):
  1. Inheritance
  2. Encapsulation
  3. Abstraction
  4. Polymorphism
  5. OOPs in C++ and Python
  6. Applications of OOPs in Data Science
- Parallel Architectures: Fundamentals of Parallel computer Memory Architecture, Parallel programming with MPI
- Parallel Computing with Accelerators: Parallel programming with OpenMP, Accelerated computing using GPU
- Scalable Computing with Python: Numba:
  1. Just-In-Time (JIT) compiler for Python
  2. Thread and multiprocessing in python Dask for NumPy
  3. Pandas and Scikit-Learn
  4. Parallel computing with TensorFlow
- Introduction to MLOps, Foundations, MLOps for containers, Continuous Integration, Continuous Deployment for ML models, Monitoring and Feedback.
- Mini-Projects in Computing for AI/ML (Writing ML packages from scratch, Using OpenMP/MPI)
Mini-Projects in Computing for AI/ML (Writing ML packages from scratch, Using OpenMP/MPI)
M4: Neural Networks
- Fundamentals of Deep Learning
- Multi Layer Perceptron - Deep Neural Networks
- Training a MLP - Backprop, Optimization Methods, Rules of Thumb
- Convolutional Neural Network for Computer Vision
- Recurrent Neural Network for Sequential Modeling
- Dimensionality Reduction (PCA, SNE), Generative Models (GANs, VAE)
- Reinforcement Learning
- Natural Language Processing (NLP)
Mini-Projects in Neural Networks (Computer Vision, Image Analytics, Video Analytics, Financial Analytics, NLP, Reinforcement Learning Stock Trader)
M5: Data Engineering
- Introduction to Big Data storage systems
- Introduction to Big Data processing platforms
- Deep Dive into Spark: RDD, Narrow, Wide Transformations
- Deep Dive into Spark: Designing, implementing, evaluation and validating computational and analytics application using Spark
- Fast Data Processing Platforms: Apache Storm
Mini-Projects in Data Engineering (Process Movie Data using NoSQL Cassandra, Complex Analytics on network intrusion using PySpark, End-to-end, PySpark Analytics on Tweets Data, ML on cloud)
M6: Business Analytics: Data Science in Practice
- Time Series Models: Time Series for Business and Financial Data
- Market Basket Analysis
- Portfolio Optimization
- Customer Churn Analysis
- Data Analytics in Infectious Disease Spread
Mini-Projects in Business Analytics (Market Basket Analysis, Bitcoin Forecasting, Air Quality Forecasting, Customer Churn Analysis)

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Capstone Projects

Real-time system
for Tweet Analytics
ChatGPT based
project
Food Image
Segmentation
Talent Retention and
Attrition Prediction
Identification of Quora question
pairs with the same intent
Stock Market predictions
based on Time Series
Prediction of Client Subscription
to a Bank term Deposit
Direct Retail Marketing efforts based on Customer Segmentation using ML based Clustering techniques
Movie Recommendation
System
Predict the future daily-demand
for a large Logistics Company
Achieving image super-resolution using a Generative Adversarial Network
Determine key factors driving literacy rate in the Indian demography using Predictive Data Analytics
Urban Crime Data Analytics
for safety improvement
Breast Cancer classification from digitized FNA image feature measurements
Exploratory and Predictive Data Analytics using Indian Premier League (IPL) dataset
Anomaly detection in Bearing
Vibration Measurements

Tools covered

Faculty

IISc faculty members are an impressive group bearing academic accreditation from premier institutions around the world

Prof. Sashikumaar Ganesan

Ph.D., Computational Mathematics, OvGU Germany
Programme Co-Coordinator

Chair, Department of Computational and Data Sciences (CDS), Indian Institute of Science (IISc) Bangalore.

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Prof. Deepak Subramani

Ph.D., Massachusetts Institute of Technology (MIT), USA B.Tech and M.Tech, IIT Madras
Programme Co-Coordinator

Bayesian Learning, ML/AI for Environment Autonomy

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Prof. Yogesh Simmhan

Ph.D. Computer Science, Indiana University, USA

Data and Computing Systems, Big Data, Internet of Things

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Prof. Sundeep Prabhakar Chepuri

Ph.D. TU Delft, Netherlands

Computational Signal Processing, GNN, ML, Statistical Inference

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Prof. Shashi Jain

PhD Applied Mathematics, TU Delft, Netherlands BTech and MTech IIT Madras

Quantitative Finance, Derivative Pricing, Real Option Analysis

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Frequently Asked Questions

Helps unlock the power of data to solve complex real-world challenges and make data driven decisions.
Designed by IISc, a premier institution for world-class education in science, engineering, and design.
Delivered by faculty at the forefront of research and and industry practitioners in Data Science and Machine Learning
Learn on TalentSprint’s interactive AI-powered digital delivery platform and get access to industry experts.
Executive-friendly format: attend weekend classes at the comfort of your home while continuing your job.
Unique 5-step learning process of LIVE online faculty-led interactive sessions, capstone projects, mentorship, case studies and data stories.

Computational Data Science helps you analyse data effectively and enable data-driven decisions. It harnesses your mathematical, analytical and technical skills to interpret and understand big complex data sets and their relevance to real-life decisions. Armed with this knowledge you become an expert at communicating data insights to key stakeholders within and outside your organization. The learnings help you deliver practical and actionable insights for leveraging customer behaviour, business intelligence, operations and much more.

IISc is India’s premier institution for advanced scientific and technological research and education. It is one of the first three publicly funded institutes to be awarded the Institute of Eminence status.

The institution’s reputation and pre-eminence consistently feature it in global university rankings. The institution has been home to distinguished alumni who have had noteworthy academic and industry positions around the globe.

Recently, IISc has been recognized as the World's Top Research University by the QS World Rankings 2022. With a perfect 100/100 score in the "Citations per Faculty" metric, IISc is in the same league as Princeton, Havard, and MIT, becoming the 1st Indian varsity to accomplish such a feat. For more information, visit https://www.iisc.ac.in

TalentSprint, an National Stock Exchange (NSE) Group Company, brings high-end and deep-tech education to aspiring and experienced professionals in partnership with top academic institutions and global corporations. Its patent-pending, AI-powered, digital learning platform enables a perfect blend of high-end academics and industry-leading practitioner experience. Given its in-depth understanding of the deep technologies, access to industry experts, and a state of art technology platform, IISc has chosen TalentSprint as its partner for executive education programmes in disruptive and emerging technologies. For more information, visit www.talentsprint.com.

Tech professionals keen to build world class capabilities in data science.
Data scientists, data architects looking for career enhancements and transformations.
Programmers aspiring to take up roles of data scientists, data architects.
Leaders seeking to build data driven organizations.

The 12-month programme will be taught by world class faculty from a global institution and supplemented with industry learnings.

Meet the faculty here.

Yes, this is a hands-on programme. The sessions are accompanied by practical industry-oriented exercises to help assimilate theory into practice. Online lab assignments will help you master the concepts with the help of mentors. Physical labs sessions will be opened once it is safe for participants and faculty.

LIVE interactive online classes by top professors help in getting clarity on the subject matter.
Weekly assignments and mini-projects evaluated by mentors help you get deeper insights into the concepts.
LIVE classes enable high-quality peer-learning, mentored group labs, and hackathons, all on the digital platform.

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About Talentsprint

10 Years of
Excellence
200K Empowered
Professionals
95% Completion
Rate
85 Net Promoter
Score

Established in 2010, TalentSprint is a part of NSE group and a global edtech company that brings transformational high-end and deep-tech learning programs to young and experienced professionals. The company’s digital learning platform ipearl.ai offers a hybrid onsite/online experience to seekers of deep technology expertise. TalentSprint partners with top academic institutions and global corporations to create and deliver world class programs, certifications, and outcomes.Its programs have consistently seen a high engagement rate and customer delight. It is a leading Innovation Partner for the National Skill Development Corporation, an arm of the Ministry of Skill Development and Entrepreneurship, Government of India. A recipient of various prestigious accolades, TalentSprint was recently honored with the Indian Achievers Award 2022, for its excellence in building deeptech talent in India. For more information about TalentSprint, visit TalentSprint website

Unleash the power of data for
real-world decision making

PG Level Advanced Certification Course in
Computational Data Science