Basic Statistics

¥59,999
Course Code: DTA102
Start Date: 2022/9/17 End Date: 2022/11/19 Day: Sat Time: 13:30-15:20 Hours: 20 Sessions: 10 Semester: Fall, Spring Medium of Instruction: English Special Notes: 【This is a hybrid course that you can join either at our Tokyo campus or online via Zoom.】 Location: Online, Tokyo

Registration Open

Course Description

This course takes a practical approach to studying basic statistics. Participants will learn how to use Microsoft Excel to create statistical models, as well as how such models relate to various aspects of business. Models covered include forecasting cash flows, risk analysis, determining unit cost, quality control, and marketing analysis. Hands-on statistical exercises will help participants understand how the various methods and models work. Finally, case studies are used to showcase how statistics affects our daily lives and how they are used in fields such as Artificial Intelligence and machine learning.

Learning Objectives

1. Interpret data and present them in a readable manner
2. Apply statistical models to data
3. Describe how statistical models function in the real life

Who should take this course

Individuals who want to automate their systems or understand how their automated system works, Individuals who want to brush up on statistical knowledge to learn Python

Textbook

No required textbook (Recommended: Elementary Statistics, Picturing the World, 5th Edition by Ron Larson and Besty Farber by Pearson)

Instructor

May May Ho

Instructor Biography

May May Ho qualified as a Fellow Chartered Accountant ("FCA") under the Institute of Chartered Accountants in England and Wales (ICAEW) in 2007 after training with Ernst and Young in London. She is a UK and Singapore Chartered Accountant and holds an MSc in International Business from the University of Lancaster, UK. She has experience in financial auditing at Ernst and Young before moving on to regulatory reporting at Merrill Lynch and later the Royal Bank of Scotland. Since 2011 she has embarked on an academic and writing career drawing on her experiences and expertise. Away from work May May enjoys fashion and travelling.