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Statistics For Data Science Course

Statistics For Data Science Course
from 4 to 360h flexible workload
certificate recognized by MEC

What will I learn?

Unlock the power of data with our Statistics for Data Science Course, specifically designed for Business Intelligence professionals here in Zambia. Get stuck in with descriptive statistics and learn how to work with measures of central tendency and dispersion. Check out different types of data, spot any funny business in your data (anomalies), and learn how to deal with missing information properly. Build models that can predict things using linear regression, and make better decisions using hypothesis testing and correlation analysis. Get real, usable information from your data and share your findings clearly, all through lessons that are easy to follow and will help you succeed.

Elevify advantages

Develop skills

  • Master Descriptive Statistics: Learn how to analyze data using measures like the average (central tendency) and how spread out the data is (dispersion).
  • Explore Data Techniques: Find those dodgy data points (anomalies) and handle missing data like a pro.
  • Build Predictive Models: Create and test linear regression models to get important information out of your data.
  • Conduct Hypothesis Testing: Set up and understand the results of different statistical tests.
  • Analyze Correlations: Understand and use correlation coefficients to see how different things relate to each other in your data.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

I was just promoted to Intelligence Advisor of the Prison System, and the course from Elevify was crucial for me to be chosen.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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