Course Description

  • This course covers the Fundamentals of Analytics and business statistics where it focuses on Introduction to Analytics, Statistical Methods for Decision Making, Marketing, and CRM, and Business Finance. 
  • The topics are based on a practical and hands-on approach with a scheduled assignment, real-world Case Studies, and Capstone Projects to enable participants to succeed in Business analytics, Business Finance, Marketing, and Decision Making.

Program Highlights

Duration 36 hours
Delivery Format Online Mode (Personalised Mentor Driven)
Cities/ Centers available in Online only mode
Tools Covered Tableau,Hadoop,SQL
Experiential Learning Industry faculty, Case studies and Assignments, Career Support
Prerequisite Skills Statistics,Linear Algebra,Calculus ,Probability ,Programming Languages and MS-Excel
Certification Certificate from IemLearning
  • Assignments will be given against each module.
  • Project is to be implemented – at least two against each topic.
  •  A research paper will highly be appreciated.
  • Learn Online

    One weekend classroom a month, assisted by webinars, discussions, and assignments.

  • Certificate + International Recognition

    Certificate from IEM Learning.

  • Career Support

    Transitions into Analytics with 200+ Companies, we have seen an average salary hike of 48% after program completion

  • India's Top Ranked Analytics Program

    The analytics program in India is world-class.

  • Flexibility

    Accommodating transfer and sabbatical cases while providing an option to cover-up missed classes.

  • World Class Faculty

    Learn from leading academicians in the field of data analytics and experienced industry practitioners.

Course curriculum

  • 1

    Fundamentals of Analytics and business statistics

    • Introduction to Analytics
    • Statistical Methods for Decision Making
    • Marketing and CRM
    • Business Finance
    • Data and Analysis in the Real World, Analytical Tools
    • Case Studies and Capstone Projects
  • 2

    Advanced Statistic

    • Optimization Techniques
    • Advanced Statistics
    • Data Mining
    • Predictive Modeling
    • Time Series Forecasting
    • Machine Learning
    • Case Studies and Capstone Projects
  • 3

    Time series forecasting and Data Visualization in Tableau

    • Visualization Concepts
    • Basic and Advanced Charts
    • Data Mining
    • Data Management
    • Data Manipulation
    • Advanced Analysis Data Presentation using Dashboards
    • Stories Scheduling
    • Case Studies and Capstone Projects
  • 4

    Introduction to Big Data and Python for data science

    • Introduction to Big Data & Big Data Challenges
    • Limitations & Solutions of Big Data Architecture
    • Hadoop and its Features
    • Hadoop Ecosystem
    • Hadoop 2.x Core Components
    • Hadoop Storage
    • Hadoop Processing
    • Different Hadoop Distributions
    • Case Studies and Capstone Projects
  • 5

    Marketing Analytics, Web and social media Analytics, Finance and rush Analytics

    • Marketing and Retail Analytics
    • Web & Social Media Analytics
    • Finance & Risk Analytics
    • Supply Chain & Logistics Analytics
    • Case Studies and Capstone Projects