Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom, Campus Based/Physical Classroom | Video and Text Based | Weekends |
Course Overview
World Economic Forum predicted that by 2022, the world’s top emerging roles will be Data Analysts and Data Scientists. The Bureau of Labor Statistics predicts that by 2026, Data science requirements will lead to approximately 11.5 million jobs. There is no doubt these sectors will have significant growth in the future. The Advanced Programme in Computational Data Science course will provide professionals with the hands-on practical experience they need to make their mark in this growing industry.
TalentSprint has collaborated with the Indian Institute of Science, India’s No. 1 institute by NIRF, to create the Advanced Programme in Computational Data Science certification course. The IISc faculty will deliver the curriculum which meets the various target groups’ requirements, be it research scientists, R&D professionals, engineers, etc. It will enable them to grow into competent managers in hyper data-driven and technologically advanced society.
The Advanced Programme in Computational Data Science training by TalentSprint is a ten-month online course, including a three-day visit to the IISc campus in Bengaluru. The programme includes faculty-led interactive sessions, a convenient schedule for working professionals, multiple learning methods, and even mentorship for potential entrepreneurs who want to build a career through start-ups.
The Highlights
- Ten Months Course
- Online training
- Learning on TalentSprint’s Pracademic Platform
- Three Day IISc campus visit
- Career Accelerator
- Collaboration with Indian Institute of Science
- Programme Certificate
- Industry-leading faculty from IISc
- Start-up Mentorship
- Interactive Sessions
- Convenient Schedule
- Group Activities
- Online Assessment and Quizzes
- Experiments
- Hackathons
- Capstone projects
- A Community of Deep-Tech experts
- Personal project option available
- 360-degree learning
- 1:1 Mentoring
- Data Stories
- Self-paced learning
Programme Offerings
- Ten Months Course
- Online training
- Three Day IISc campus visit
- Collaboration with Indian Institute of Science
- programme certificate
- Top-notch faculty from IISc
- Start-up Mentorship
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IISc Bangalore |
Advanced Programme in Computational Data Science fee structure
Course Name | Fee | Discounted Fee |
Advanced Programme in Computational Data Science (Domestic Participants) | Rs. 4,00,000 | Rs. 3,00,000 |
Advanced Programme in Computational Data Science (International Participants) | $ 5,000 | $ 3,750 |
Eligibility Criteria
To apply for TalentSprint’s Advanced Programme in Computational Data Science online course, candidates must possess a four-year or an equivalent Masters/Bachelors Degree in Engineering, Management, or Science. Moreover, they should also have a minimum work experience of one year. Programming knowledge in coding is also a necessity to join this course.
What you will learn
The online certification Advanced Programme in Computational Data Science by TalentSprint provides immense fluency in core topics upon completion, such as:
- Neural Network and their applications
- Machine Learning
- Data Engineering
- The mathematics involved in Data science
- Business Analytics and forecasting
- Various practices in computational data science.
Who it is for
The Advanced Programme in Computational Data Science Certification Programme is beneficial for anyone who wants to pursue a data-driven profession, such as:
- Business Analyst
- Data Analyst
- Data Engineers
- Database Administrator
- Data Scientist
- Data Architect
- Data and Analytics Manager
- Business Intelligence Developer
- Machine Learning Engineer
Admission Details
Step 1: If you have qualified the eligibility criteria, you can apply for the course by visiting https://iisc.talentsprint.com/cds/.
Step 2: Once you have downloaded the brochure (if required) and gone through the programme details, there is a dialogue box wherein you need to provide your contact information, details of your work experience, and your knowledge in coding. Then click on 'Apply Now.'
Step 3: Once the initial information is given, you will have to provide the required documents such as your identity proof, proof of education, work experience proof, etc.
Step 4: Once you have applied for the course, IISc will select the applicants based on their education, work experience, and motivation. If you are selected, you will have to pay the fee, selecting the most suitable option. Once the programme fee is paid, you can join the programme.
Application Details
The Application form for TalentSprint's Advanced Programme in Computational Data Science training is based on your education, work experience, and coding skills. The application form will need your contact details, your educational degree, and details of your work experience along with documental proof.
However, this alone will not grant you access to the programme. IISc will select participants for the programme strictly based on merit, that is the details given by the participants and their motivation. You can join the programme only after passing the selection process.
The Syllabus
- Python Pandas
- Seaborn
- Data Munging Variables
- Matrices
- Functions
- Derivativessklearn TF2
- keras Google Data Studio
- 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 Differntiation
- Fundamentals of Linear Algebra Spaces
- Machine Learning Tools
- 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
- Object-oriented programming (OOP):
- Inheritance
- Encapsulation
- Abstraction
- Polymorphism
- OOPs in C++ and Python
- 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:
- Just-In-Time (JIT) compiler for Python
- Thread and multiprocessing in python Dask for NumPy
- Pandas and Scikit-Learn
- 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)
- 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)
- 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
- Time Series Models: Time Series for Business and Financial Data
- Market Basket Analysis
- Portfolio Optimization
- Customer Churn Analysis
- Data Analytics in Infectious Disease Spread
Instructors
IISc Bangalore Frequently Asked Questions (FAQ's)
Yes, Advanced Programme in Computational Data Science is an online course. However, this 10 months course also includes a 3-day visit to the Indian Institute of Science, Bengaluru.
The total programme duration is ten months.
The programme educators are the expert and experienced faculty of the Indian Institute of Science.
All candidates who participate in the Advanced Programme in Computational Data Science will receive a digital certificate from TalentSprint and IISc after they complete the entire programme curriculum.