(Theory + Practice) ^ Idea = Applicable

This course is intended to conduct the data-analytical enthusiasts who require to learn the basic concepts and analytical methods structurally.

The learners should reserve time slots for 7 to 10 hours weekly for both self-paced learning and face-to-face with instructor. They will require about 3 months to completely the course.

In this training program, Microsoft Excel is desired to use as the main application software with several reasons.

• It is the common and user-friendly office application
• Users are already familiar with basic data manipulation, and create charts and graphs, more or less.
• The useful basic statistic tools are built-in with software
• Ease to add-on some advance statistics tools

We think that the online hybrid teaching method is the most preferable method for learners – learning beyond boundary. The Myanmar learners from different areas not only from local but also from overseas can join the course without unnecessary threats, especially time available.

There will be regular weekend Zoom sections for face-to-face discussion with instructor. The learners can join these sections without limitation to raise their questions and further discussions. It would be Fantastic Time!

Course Outline

• Statistics Introduction
• Basic of Statistics and Microsoft Excel
• Descriptive Statistics
• Data Visualization
• Basic Probability Concepts
• Probability Distributions
• Hypothesis Testing
• ANOVA – Analysis of Variance
• Good Fitness and Contingency Table
• Correlation and Linear Regression

Tools to be used

• Analysis ToolPak
• Xrealstats

Course Launching Date: April 22, 2023

Course Fee: 50,000 Kyats only

Start your journey here.

For more information, please contact us.

Meet with your instructor:

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The launching ceremony for this course will be held on

April 22, 2023 (Saturday) – 2:00 to 4:00 PM

Together with this launching ceremony, we’ll arrange an Open Talk session with the title of “Statistics for Every Workplace“.

If you want to join this open virtual event, please make registration here or scan the following QR code.