Statistical Data Analysis for "Professionals"

Workshop Overview

For all machine learning solutions, data analytics is a must to kick off a career in the world of data. One cannot claim to apply AI analytics without a deep knowledge of data analytics.

This course is designed to give participants a clear and complete understanding of data structuring for efficient analysis, scientifically profiling different groups by analyzing data smartly and efficiently, and appropriately manipulating several technology tools in the market.

For those who believe that statistical tests are key to success ... fasten your seat belts!

Learning Outcomes

• Introducing the logic of hypothesis tests.
• Differentiating between prior and posterior errors.
• Profiling a sample against standard references.
• Distinguishing between profiling and describing groups.
• Identifying variables that most differentiate groups.
• Identifying variables that most distinctly profile groups.
• Fully exploring the narrative behind simple regression.
• Presenting all analytics in a single comprehensive chart.
• Comparing solutions using Excel, STATISTICA, and Python.

Duration 5 days

Day 1:

- One Group Statistical Tests

Day 2:

- Two Group Profiling with statistical tests

Day 3:

- Multiple Gr. Profiling with statistical tests

Day 4:

-  Simple Linear Regression

Day 5:

-  Applications with Excel, Python, ...

What will it be about?

- Colored PPT documents / Videos

- Statistical tests concepts

- Statistical indicators: t, chi-square, F

- Proprietary tools solutions

- ANOVA   table / R-Square

- Profiling Techniques

- The All-In-One chart

- The one and unique P-Value

- Data Analysis, before Machine Learning.