Join us to start creating a mindset of business leaders responsible for the future together
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This workshop is ideal for:
By the end of the workshop, participants will be able to manage data projects efficiently, assess data quality, and apply descriptive statistics using tools like Excel and Python.
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It all begins with effective data collection and/or selection. This requires a good understanding of various data types and their sources. Proper organization makes it easier to describe results using appropriate and efficient descriptive statistical measures. This workshop focuses on important aspects of creating a smart data collection process, selecting the best sampling approach, validating the quality of stored information for analysis, and identifying corresponding descriptive statistical KPIs.
Day 1:
- Central Tendency Measurements
- Scatter Tendency Measurements
Day 2:
- Central Limit Theorem
- Estimations and Sampling
Day 3:
- Descriptive Statistics with Excel, and Python
- Colored PPT documents / Videos
- Case studies from A to Z
- Group exercises for live practices
- Proprietary vs. Open source tools
- Report design 101
- Average, Median and Mode
- Variance and Standard Deviation
- Probabilistic vs. Non-Probabilistic sampling
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We have partnerships with international
professional organizations that specialize in professional training and have unique and up-to-date quality programs for our students.
Join us to start creating a mindset of business leaders responsible for the future together
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