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Analytics Problem Solving - Art to Science
Rating: 4.7 out of 5(82 ratings)
285 students

Analytics Problem Solving - Art to Science

Problem solving and Insights Generation for Analytics and AI-ML solutions
Created byRajneet Kaur
Last updated 7/2025
English

What you'll learn

  • Requirement gathering framework for analytical problems
  • Insights Generation Framework
  • Business Frameworks to aid problem solving
  • Case study applications

Course content

8 sections17 lectures1h 6m total length
  • About the course1:17
  • Course Plan1:56
  • Bhoomi and Rafael's story and Requirement gathering - part 14:45
  • Subho and Payal's story3:32

    Subho and Payal's story shows solving analytics under time pressure across time zones, detailing YoY declines and the need for complete filters and dimensions to reduce rework and deliver insights.

  • Requirement gathering - part 23:32

Requirements

  • No pre requisite required

Description

Do you wonder how analytics and AIML products and deliveries start with a solution?


"Datascience is as much an art as a science"


Problem solving may seem an art, but it is as much a science - frameworks and checklists will help us break business objectives into analytical objectives and finally solve them. This masterclass helps break some of the artistic bits into scientific chunks that can be implemented right away. This course deals with:


1) Requirement Gathering Framework to enable a perfect start

2) What is an Insight and the generation process for the same

3) Business frameworks to aid

4) A case study with walkthrough of application of frameworks

5) 1 case study that tests insights generation through visualization

6) 1 case study that is implemented by us

7) How to start implementing according to your role, functional area and experience


This course will help the following groups:

1) Students who want to learn and evolve in various data science related areas

2) Data & Analytics professionals trying to practice problem solving and take it to the next level

3) Business professionals in any functional area like marketing, operations, finance, HR and IT trying to leverage analytics to make decisions

4) Analytics Leaders trying to set better processes for their teams


Hope this course helps become analytical better solvers.

Who this course is for:

  • Data Students
  • Data Analytics & AI Professionals
  • Business professionals trying to leverage analytics for taking better decisions
  • Analytics and AI leaders