Certificate In Data Science

The Programme

Enterprises across the globe are shifting their focus to data-driven goals and decision-making. In fact, the International Data Corporation reports that worldwide data will grow 61% to 175 zettabytes by 2025*. So, why is data science so important? Because it enables organisations to efficiently process and interpret data that can be used to make informed business decisions & drive growth, optimisation, and performance. One can learn how to process and understand data that can be used to drive better, smarter decisions within your organisation.

Programme Objective

  • Createand implement business strategies leveraging data science.
  • Makedata-driven decisions to solve business problems using data insights.
  • Demonstratehow analytics can be combined with experiments to make data-informed recommendations for business growth.
  • Explainthe key challenges and risks in data science projects.
  • Evaluate an organisation’s data strategy and recommend ways to achieve a sustainable competitive advantage.
  • Analyse organisational needs and drive business improvement through data science future trends.

Pogramme Learning Outcome

  • Transition into a data-centric senior management role
  • Gather analytical expertise to handle greater responsibilities.
  • Utilise predictive models to build effective strategies that address key issues in business operations and product quality.
  • Become a leader for sustainable business growth.
  • Spearhead complete ownership of key business tasks and understand underlying strategic implications.

Programme Delivery Methodology:

Face to Face or Online Training

  • Practical/ Lab Exercise
  • eCoaching

Duration:

5 days

Entry Requirement

No coding is required; however, a basic knowledge of Excel would be beneficial.

Assessment Method

Continuous assessment and the various practical exercise

Learning Materials

There will be a student manual and lab workbook for each participant.

Course Outline

Module 1: Leveraging Data As A Competitive Edge

Module 2: Data Analytics In Action

Module 3: Basic Statistics For Data Analysis

Module 4:  Predictive Analytics

Module 5: Field Experiments And Causality

Module 6: Machine Learning Models For Data Analytics

Module 8: Data Science To Drive Business Value

Module 9: Addressing Key Challenges And Risks In Data Science Projects

Module 10: Data Science And The Future

Certification Body