Benefits of Attending
By the end of this course, the participants would be able to：
- Understand what data analytics is, and the different approached to data analytics for different problem-solving situations
- Develop analysis framework through problem definition, hypotheses development and identification of data requirement
- Understand the principles to building sustainable analytics culture in an organization
- Gain exposure to various data analytics and visualization techniques and tools
- Gain practical data analysis skills through descriptive and predictive analysis exercises with MS Excel
Who Should Attend
This workshop is designed for managers, professionals and staff at all levels who want to learn and improve their understanding and skills in data analytics, particularly in applying analytics to problem solving.
- The course is suitable for participants across all industries and job functions.
- Participants are required to have basic MS Excel skills; no prior knowledge of data analytics required.
Participants are required to bring their laptops with MS Excel (ver 2010 or later)
- UNDERSTANDING DATA ANALYTICS, BIG DATA & ARTIFICIAL INTELLIGENCE
- A general introduction of the concept of analytics, including the general utilities and potential of analytics to inform, explain and guide decision making.
- Introduction to Big Data and Artificial Intelligence; types & examples of machine learning
- Case studies – See how some notable organizations have successfully deployed analytics to great effect (Walmart, Target, Google, Jetblue)
- PRACTICING AND SUSTAINING DATA ANALYTICS AT WORK
- Data Analytics Value Chain & Components
- What does it take to progress along the maturity curve?
- Recipe for Successful Data Analytics
- Case study – How Analytics changed the game for Oakland Athletics in professional baseball
- Building Analytics Culture
- Leadership for Analytics
- Data analytics competency framework
- Organization design
- Data Analytics Maturity Model
- Class survey
- Group Exercise: Fill in the success recipe book
- TRANSLATING DATA INTO INSIGHTS
- Understand Your Problems
- Complexity theory and Cynefin Framework
- Group exercise: Making sense of your problems
- Building an Analysis Framework
- 6-step framework from problem to data, insights and decision
- Group exercise: Building an Analysis Framework
- Analytics Techniques to Connect-the-Dots
- STATISTICAL ANALYSIS CONCEPTS FOR BUSINESS USERS
- Common analysis techniques, including trends analysis, regression analysis, survival analysis etc.
- Class Exercise: MS Excel Analysis (pivot table, descriptive, correlation, multiple regression)
- Data Visualization and Storytelling Principles of Storytelling with data
- Data Visualization tools & techniques
- Demo of Visualization platforms
- Class Exercise: Build Your Own Dashboard (MS Excel)
- BRINGING ALL TOGETHER: CAPSTONE BUSINESS CASE EXERCISE
- The participants will work on a capstone business case exercise with the concepts and techniques they have acquired in this course
- The final presentation, which should include the following: Problem statement, summary of findings (each supported by facts & analysis), and recommendations
- Group Presentation & Discussion
On-site & in-house training
Deliver this course how you want, where you want, when you want – and save up to 40%! 8+ employees seeking training on the same topic?
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