Statistics 101 | Online | February 10
Johnson Dang
Supply Chain Analyst,
Nestle Australia Ltd
About This Workshop
The amount of data generated in the world continues to accelerate, and with it, the opportunity to analyse this data to manage businesses better, design better products, and much more.
But this raises many important questions, like how much data do we need to answer the questions we’ve posed? How do we know that the conclusions we have drawn are actually valid? How do we display these conclusions in a meaningful and useful way?
The answers to these questions are found in… statistics! Come and learn the basics of statistics, the science of collecting, summarising, and drawing valid conclusions from data.
Topics we will cover
- Overview of fundamental statistical concepts
- Calculating mean, median, mode, and standard deviation
- Creating charts such as box plots and scatter plots
- Understand correlations and apply regression analysis
- Conducting hypothesis testing with t-tests
Takeaways
- Define the science of statistics and its use
- Understand fundamental statistical concepts
- Apply statistical analysis in Excel to draw valid conclusions
Preparation
This workshop will be completely live and online. In preparation, please download Zoom.
Please note: This session will not be recorded, however slides will be shared following the class.
About the Instructor
Johnson Dang
Supply Chain Analyst,
Nestle Australia Ltd
With over 10 years of experience as a Data Analyst, Johnson has used his skills to prepare, analyse and draw insights from large and complex data sets. His work provides key stakeholders and business leaders with the information and recommendations they need to support critical decisions.
Johnson has worked in industries such as business advisory, pharmaceuticals, sporting goods and FMCG. He discovered his passion for data and analytics when undertaking his Commerce degree at Macquarie University, majoring in Applied Statistics, where he attributes his strong academic performance to a genuine interest in the field.
With a passion for learning and teaching, Johnson is able convey complex statistical concepts in a manner which is easy to understand and gets a lot of joy from seeing people developing skills in data analytics.
Refund Policy
We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.
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