Build a Data Driven Mindset

Learning Objectives
To decode the facets of data science and analytics so as to make right choices for job switch / upskilling for larger roles in the organization. If you are a Non – IT professional working in functions like Sales, Marketing , HR, Finance, Operations in Manufacturing, FMCG, Consumer Durables, any distribution led business handling and managing large teams & partners – i.e., coordination and managing multiple stakeholders. This program will help you recognize the importance of data, identify the right metrices to drive business  and create focussed reports for managing the team and audit in a timely basis this workshop will be of huge value to you.

Participant Profile
This program  is optimised for mid-level working executives from non-technical, non-IT background, with no prior knowledge of Data and information systems  with 10-14 years’ work experience to attain in-depth knowledge in data literacy and understand this fast-changing field and its jargon.

Modules

  • Developing an Analytical Mindset
  • Big Data  & Understanding Data Structures
  • Mathematics & Statistics – for daily analysis
  • Machine Learning Foundations
  • Types of Metrics & its importance
  • One Metrics That Matters ( OMTM)
  • Decision Making with Analytics
  • Decision Making Models for business
  • Case Studies for each modules / Presentations

 
Key Take-aways

  • Develop a analytical mindset for day to day decision making
  • Hands on working using  MS Excel for effective metrices management
  • Case studies-based discussions as per the relevant industry profile of participants
  • Step-by-Step approach with all participants for hands on activities.
  • Certificate of Completion, Data Literacy Assessment Coaching & Guidance

 
Costs & Schedule

  • Workshop Mode – In premise  / Online
  • Dates :- Jan 27/28/29- 2022 (Th/F/Sa)
  • Timings:- 09:30 to 1:30 PM ( All Days )
  • Batch Size :- 25 Participants
  • Costs :- INR 18000 + 18% GST per participant
  • Dates:- 16/ 17/18 January – 2022

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