Data-Driven Decision Making: Unlock the Full Potential of Your Workplace Data.
offered by
INSTRUCTOR: ADRIAN DUNKLEY
CATEGORY: Hands-On Data Science Corporate Training
Adrian is a Technologist and Decision Scientist, with over 15 years of experience in Data Science & AI across Finance, Travel, Retail, Marketing, Risk Management, and Customer Experience.
He was recently accepted into the Forbes Technology Council, an invitation-only community for world-class Executives.
This intensive, hands-on data science course is designed specifically for professionals looking to unlock the full potential of their data and drive better business outcomes. Through a combination of interactive lectures, case studies, and real-world exercises, participants will learn how to collect, clean, and explore data, build and evaluate predictive models, and turn insights into action.
By the end of the course, participants will have a solid understanding of how data science can be used to improve business outcomes and will be equipped with the tools and knowledge needed to begin applying data science in their own workplaces. And that’s not all! After successfully completing the course, participants will receive a digital badge verified by blockchain, a cutting-edge technology that guarantees the authenticity and integrity of their achievements.
Plus, 10% of the proceeds will go towards our high school training program, which aims to prepare the next generation of data scientists. Invest in your own skills and in the future of our community at the same time!
- Introduction to data science and its applications in the workplace
- Data collection and cleaning
- Data exploration and visualization
- Predictive modelling and evaluation
- Real-world case studies and practical applications
- Hands-on exercises and group work
- wrap-up and next steps
- The take-home challenge (designed to meet your organization’s needs)
Prerequisites:
- Basic computer skills
- No prior experience with data science is required
Grading Policy:
- Attendance and participation in class challenges and activities (25%)
- Completion of hands-on exercises and group work (25%)
- Take-home challenge (50%)
Duration: 1 DAY
Course Materials:
- All necessary software will be provided
- Participants will also receive a course manual and access to additional resources and tutorials.