On completion of this course, you’ll walk away with: An understanding of how data-driven models can improve your ability to make decisions in a fast-paced and uncertain world, and the ability to use modelling to predict future trends. Tableau data visualisation and reporting skills, with which to clearly communicate your findings and business needs. A capstone project as proof of your ability to analyse, summarise, visualise, and report on insights extracted from a dataset. Unlimited access to edX’s Career Engagement Network, offering you exclusive resources and events to support your professional journey and drive your career forward.
Become an AI & ML Engineer with Cal Poly EPaCE — IBM-Certified Training
Master AI and Machine Learning: From Neural Networks to Applications
Overview
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Develop the expertise to confidently and effectively analyse, interpret, and convey data to significantly impact your organisation.
On completion of this course, you’ll walk away with: An understanding of how data-driven models can improve your ability to make decisions in a fast-paced and uncertain world, and the ability to use modelling to predict future trends. Tableau data visualisation and reporting skills, with which to clearly communicate your findings and business needs. A capstone project as proof of your ability to analyse, summarise, visualise, and report on insights extracted from a dataset. Unlimited access to edX’s Career Engagement Network, offering you exclusive resources and events to support your professional journey and drive your career forward.
On completion of this course, you’ll walk away with: An understanding of how data-driven models can improve your ability to make decisions in a fast-paced and uncertain world, and the ability to use modelling to predict future trends. Tableau data visualisation and reporting skills, with which to clearly communicate your findings and business needs. A capstone project as proof of your ability to analyse, summarise, visualise, and report on insights extracted from a dataset. Unlimited access to edX’s Career Engagement Network, offering you exclusive resources and events to support your professional journey and drive your career forward.
Syllabus
- Orientation module: Welcome to your Online Campus
- Module 1: Decision-making under uncertainty
- Module 2: Data visualisation and descriptive statistics
- Module 3: Quantifying risk through probability
- Module 4: Data integrity and statistical inference
- Module 5: Evidence-based decisions
- Module 6: Understanding the causes of things
- Module 7: Time series forecasting
- Module 8: Delivering insights through storytelling
Taught by
Dr James Abdey