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IIM Kozhikode | Advanced Data Science for Managers

Receive Executive Alumni Status

Course Snapshot
  • FeeINR 1,85,000 + GST
  • Work Experience5 - 30 Years
  • Duration1 Year
  • Delivery MethodOnline
Course Detail

Program Overview
IIM Kozhikode's Advanced Data Science for Managers provides insights on data management, exploratory data analysis, and the use of machine learning algorithms. Along with a strategic and managerial understanding, the programme will help professionals enhance their proficiency in data science and gain in-depth skills and robust knowledge of machine learning algorithms and techniques supported by R and Python.

Who Should Attend
● Managers and team leads managing analytics, data science and machine learning projects and teams
● Business and data analysts looking to transition to data science roles or projects
● Early-stage professionals interested in enhancing existing skills in data science and analytics
● Directors, business heads and senior management professionals looking to implement or scale their analytics and data science competency and overall organisational capability
● Consultants who want to develop a strategic mindset that revolves around business analytics and data science for client projects
● Small business owners and entrepreneurs who want to utilise analytics and data science to scale their business

Program Highlights
● Develop a data-driven mindset to manage, visualise and analyse data effectively
● Hands-on exercises using real-world data sets & R practical sessions
● Taught by eminent faculty & renowned industry experts
● Certificate of Completion from IIM Kozhikode, one of India’s Leading B-Schools
● Earn Lifelong Executive Alumni Status & networking opportunities

Course Schedule

Live Online Sessions - 3 hours / Week - Sunday
3:25 PM to 6:25 PM

Desired Candidate Profile

● Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognised university in any discipline with a minimum of 1 year of work experience (after graduation) as on December 30, 2021.

Course Modules

Module 1 - Data Management and Data Preperation
- Introduction to Data Analytics using R & Python
- Understanding Data Structure
- Pre-process the Data
Module 2 - Statistics and Exploratory Data Analytics
- Data Visualization
- Exploratory Data Analysis
- Statistical Inferences
- Basics of Modelling
Module 03 Machine Learning Algorithms
- Time Series analysis
- Classification
- Clustering
- Text Mining & Social Media Analysis
- Simulation
- Optimisation
Module 3 - Creating and Sustaining Competitive Advantage
- Concept of Value and Value Creation
- Value Proposition Design
- Value Chain Analysis
- Resource-Based View
- Business Model Basics
- Competitive Action and Response
Module 4 - Capstone Project / Final Project
- Capstone Project / Final Project