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IISc Bangalore - IISC - PG Level Advanced Certification in Computational Data Science 

    IISC - PG Level Advanced Certification in Computational Data Science
     at 
    TalentSprint, Hyderabad 
    Overview

    Unleash the power of data for real-world decision making and be ready for a new world where Data Science is transforming business and society at an unprecedented pace

    Duration

    12 months

    Total fee

    4.00 Lakh

    Mode of learning

    Online

    Credential

    Certificate

    IISC - PG Level Advanced Certification in Computational Data Science
     at 
    TalentSprint, Hyderabad 
    Highlights

    • Earn a executive PG certificate from IISC, Bangalore
    • Option to pay fee with 0% interest with EMI available
    • 1:1 mentoring by industry and academia experts
    • Curated industry Capstones, and option to Bring Your Own project
    • Designed and taught by IISc?s computational and data sciences department
    Read more
    Details Icon

    IISC - PG Level Advanced Certification in Computational Data Science
     at 
    TalentSprint, Hyderabad 
    Course details

    Who should do this course?
    • For aspiring data scientists keen to build expertise from a leading institute of excellence
    • For professionals who are willing to gain an in-depth understanding of the mechanics of working with data and identifying insights
    • For data scientists, data architects looking for career enhancements and transformations
    • For programmers aspiring to take up roles of data scientists, data architects
    • For leaders seeking to build data driven organizations
    What are the course deliverables?
    • Design, build and deploy solutions to take data-driven real-world decisions
    • Build compelling Data Stories to chronicle your learning journey
    More about this course
    • The course enables working professionals to gain practical hands-on experience in solving real-life challenges and teaches participants how to build powerful models to generate actionable insights, necessary for making data-driven decisions
    • It offers a unique 5-step learning process of live online faculty-led interactive sessions, capstone projects, mentorship, case studies and data stories to ensure fast-track learning
    • So far, the programme has witnessed an overwhelming response for its last 5 cohorts, enabling 620+ professionals to build Data Science expertise
    • Total Fee for International Participants: $6000
    • Class Schedule: On Saturday & Sunday

    IISC - PG Level Advanced Certification in Computational Data Science
     at 
    TalentSprint, Hyderabad 
    Curriculum

    Module 0: Bridge Module

    Python Pandas

    Seaborn

    Data Munging Variables

    Matrices

    Functions

    Derivatives sklearn TF2

    keras Google Data Studio

    Mini-Projects in Data Cleaning, Handing, Python

    Module 1: 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

    Module 2: 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

    Module 3: MLOps at Scale

    Object-oriented programming (OOP)

    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

    Introduction to MLOps, Foundations, MLOps for containers, Continuous Integration, Continuous Deployment for ML models, Monitoring and Feedback

    Module 4: 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

    Module 5: 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

    Module 6: 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

    Faculty Icon

    IISC - PG Level Advanced Certification in Computational Data Science
     at 
    TalentSprint, Hyderabad 
    Faculty details

    Prof. Sashikumaar Ganesan - Chair, CDC, IISc
    He joined the Department of SERC/CDS as an Assistant Professor in 2011. Before joining the Department, he was a Research Associate at Imperial College London and an Alexander-von-Humboldt fellow at WIAS Berlin. His research interests include Finite element analysis, High-Performance Computing, Data-Driven modeling, Cloud Computing, Scientific Machine Learning, AI & MLOps at scale. He also heads Scientific Machine Learning and Operations (STARS) group at CDS.
    Prof. Deepak Subramani - Assistant Professor, IISc
    Ph.D., Massachusetts Institute of Technology (MIT), USA B.Tech and M.Tech, IIT Madras. His research focuses on ML/AI for Environmental Forecasting, Data-Driven Routing of Autonomous Vehicles, Bayesian Learning and Data Assimilation, Uncertainty Quantification, and Computational Optimization.
    Prof. Yogesh Simmhan - Associate Professor, IISc
    Ph.D. Computer Science, Indiana University, USA, and previously a Research Faculty at the University of Southern California (USC), Los Angeles, and a Postdoc at Microsoft Research, San Francisco. His research explores abstractions, algorithms and applications on distributed systems. These span Cloud and Edge Computing, Big Data Platforms and Internet of Things (IoT).

    IISC - PG Level Advanced Certification in Computational Data Science
     at 
    TalentSprint, Hyderabad 
    Entry Requirements

    Eligibility criteriaUp Arrow Icon

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    IISC - PG Level Advanced Certification in Computational Data Science
     at 
    TalentSprint, Hyderabad 

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    IISC - PG Level Advanced Certification in Computational Data Science
     at 
    TalentSprint, Hyderabad 
    Contact Information

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    Hyderabad ( Telangana)

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