IIT Delhi - Advanced Certification in Data Science and Decision Science offered by TimesPro
- Private Institute
- Estd. 2013
Advanced Certification in Data Science and Decision Science at TimesPro Overview
Duration | 8 months |
Total fee | ₹1.89 Lakh |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
Advanced Certification in Data Science and Decision Science at TimesPro Highlights
- Earn a certificate after completion of course from IIT Delhi
- Fee can be paid in installments
- Guest lectures for better learning
- Holistic understanding with capstone project implementation
- 18% GST will be charged on fees
Advanced Certification in Data Science and Decision Science at TimesPro Course details
Professionals aspiring to gain a foothold in the Data Sciences and Machine Learning domain
Data Science professionals seeking to gain an in-depth knowledge of the key aspects of Machine Learning, Artificial Intelligence and Decision Sciences
Experienced leaders willing to deep dive into Decision Sciences to gain assistance in decision-making
Develop a strong understanding of different types of data science, artificial intelligence and machine learning algorithms and related mathematical models of decision science
Develop a strong focus and problem-solving logic for handling complex data problems for management decision making involving data science and decision science
Develop an acumen towards problem solving for complex data analysis with an algorithmic and systematic approach, which is techno-functional in nature
Develop an acumen to understand and analyse large datasets with computationally intensive and mathematical algorithms
Enable problem solving ability through hands on exercises and capstone projects
The IIT Delhi Advanced Certification in Data Science and Decision Science addresses the dynamic needs of the industry, equipping participants with advanced skills in data analytics, artificial intelligence, and machine learning
A strong focus on practical problem-solving for management decision-making, this programme blends rigorous theoretical knowledge with hands-on experience
Graduates are well-prepared to excel in the field of data science and drive substantial career advancements
Class Timings:
3 to 4 Saturdays,9 a.m. onwards
Advanced Certification in Data Science and Decision Science at TimesPro Curriculum
Common Module for Data Science and Decision Science Vertical
Module I: Python programming
Data Management and Manipulation
Central Tendencies, Dispersion and Correlation Analysis
Clustering, Multinomial Regression and Logistic Regression Analysis
Longitudinal Data / Time Dependent Data Analysis
Supervised Learning and Classification using Decision Trees and ANN
Text Mining, Natural Language Processing and Sentiment Analysis
Module 2 Artificial Intelligence and Machine Learning
Multidimensional Data handling, Regression, Unsupervised Machine Learning
Predictive Analytics with AI/ML - Advanced Supervised and Unsupervised Machine Learning
Machine Learning using Artificial Neural Networks and Fuzzy Set Theory
Supervised ML - Decision Trees, Random Forest, SVM, Naïve Bayes Classifiers, Ensemble Learning
Module 3 AI/ML for Big Data and Cognitive Science
Machine Learning using Deep Learning and Convoluted Neural Networks
NLP in Social Media Analytics - Sentiment Analysis, Text Summarisation, Topic Modelling, LDA, Network Analytics
Network Science with Graph Theory, hands on exercises with small networks data
Generative Artificial Intelligence and Chatbots, Large Language Models using Deep Learning
Module 4 AI/ML for Managers
Data model building for ML and Big Data applications - Boston City Case Study
Governance of AI/ML - Fairness, Accountability, Transparency, Ethics, UX & Regulations
UI driven Python (Orange), Supervised and Unsupervised Machine Learning
Generative Artificial Intelligence, Conversational AI and Prompt Engineering
Reinforcement Learning and Federated learning
Module 5 Data Science Learning Enrichment & Assessment
Data Science Capstone Project - Unsupervised and Supervised Machine Learning Implementations
Individual Evaluation on Data Science and Machine Learning
Data Science Vertical
Module 1 Overview to Decision Science
Understanding Main Pillars of Business Decision Science and Heuristics/Meta-Heuristics/AI
Central Limit Theorem, Distributions, Dispersion, Population, Sample, T Test, Z Test, Chi Square Test
Comparing Multiple Groups - ANOVA, MANOVA
Linear Algebra - Matrix Operations, Determinants, Vectors and Eigen values
Module 2 Prescriptive Decision Science
Introduction to Linear Programming (Single Objective) and solving using Solver/ LINGO
Sensitivity Analysis using Solver/LINGO
Goal Programming (Multiple Objectives) Using Solver/LINGO
Application of LP/NLP in Business Decisions through Case Study
Module 3 Predictive Decision Science
Time Series Analysis (Moving Average, Exponential)
Time Series Analysis (Holtz and Winter-Holts Model)
Auto Regressive Integrated Moving Average Models
Module 4 Multi Criteria Decision Science
Multi Criteria Decision Making: ISM, DEMATEL, AHP
Multi Criteria Decision Making: IRP, ANP, TOPSIS
Module 5 Decision Science Learning Enrichment & Assessment
Decision Science Case Study Approaches
Decision Science Capstone Project
Individual Evaluation on Decision Science
Decision Science Vertical
Module 1 Overview to Decision Science
Understanding Main Pillars of Business Decision Science and Heuristics/Meta-Heuristics/AI
Central Limit Theorem, Distributions, Dispersion, Population, Sample, T Test, Z Test, Chi Square Test
Comparing Multiple Groups - ANOVA, MANOVA
Linear Algebra - Matrix Operations, Determinants, Vectors and Eigen values
Module 2 Prescriptive Decision Science
Introduction to Linear Programming (Single Objective) and solving using Solver/ LINGO
Sensitivity Analysis using Solver/LINGO
Goal Programming (Multiple Objectives) Using Solver/LINGO
Application of LP/NLP in Business Decisions through Case Study
Module 3 Predictive Decision Science
Time Series Analysis (Moving Average, Exponential)
Time Series Analysis (Holtz and Winter-Holts Model)
Auto Regressive Integrated Moving Average Models
Module 4 Multi Criteria Decision Science
Multi Criteria Decision Making: ISM, DEMATEL, AHP
Multi Criteria Decision Making: IRP, ANP, TOPSIS
Module 5 Decision Science Learning Enrichment & Assessment
Decision Science Case Study Approaches
Decision Science Capstone Project
Individual Evaluation on Decision Science
Capstone Projects
Data Science: Students would be shared datasets with large volume of data
On that dataset, first the students need to demonstrate skills surrounding feature selection
Subsequently students need to run algorithms for unsupervised algorithms
Lastly on the data set, students need to demonstrate applications of multiple supervised machine learning algorithms and evaluate these algorithms for their suitability, given the context of the data / case setting
Project implementation may be undertaken in a combination of SPSS/PSPP, Python and Orange
Decision Science: Participants would be exposed to all three pillars of decision science viz. prescriptive, predictive and descriptive decision making through various modules under decision science
To easily implement the concepts, practical examples would be discussed through case study-based capstone project
These tools and techniques would be discussed using Excel, Excel Solver, Python, and LINGO
Advanced Certification in Data Science and Decision Science at TimesPro Faculty details
Advanced Certification in Data Science and Decision Science at TimesPro Entry Requirements
Graduates or Postgraduates in Science, Engineering, Business or any related disciplines
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Advanced Certification in Data Science and Decision Science at TimesPro Contact Information
18th floor, F Wing, Lotus Corporate Park, Off Western Express Highway
Mumbai ( Maharashtra)