Data Analytics for Professionals

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.

Workshop Overview

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.

Detailed Course Schedule

• 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, ...

• Colored PPT Booklet/ 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

What will it be about?