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Statistics Course For Data Science
Unlock the power of data with our Statistics Course for Data Science, geared for Business Intelligence professionals. Get stuck in with hypothesis testing, become a boss at p-values, t-tests, and ANOVA. Improve your reporting skills by communicating clearly and providing actionable insights. Investigate regression analysis, including looking at how well the model fits and multivariable techniques. Brush up your data cleaning and preparation skills, and shine in sales data analysis with customer segmentation and spotting trends. Make your data visualisation better with good histograms, bar charts, and line graphs. Come join us now and turn your data skills up a notch!
- Master hypothesis testing: Analyse data using p-values, t-tests, and ANOVA.
- Craft clear reports: Communicate insights with precision and clarity.
- Excel in regression: Use linear and multivariable models properly.
- Clean and prep data: Make sure it's correct through transformation and validation.
- Visualise data: Create impactful charts and graphs for better insights.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of data with our Statistics Course for Data Science, geared for Business Intelligence professionals. Get stuck in with hypothesis testing, become a boss at p-values, t-tests, and ANOVA. Improve your reporting skills by communicating clearly and providing actionable insights. Investigate regression analysis, including looking at how well the model fits and multivariable techniques. Brush up your data cleaning and preparation skills, and shine in sales data analysis with customer segmentation and spotting trends. Make your data visualisation better with good histograms, bar charts, and line graphs. Come join us now and turn your data skills up a notch!
Elevify advantages
Develop skills
- Master hypothesis testing: Analyse data using p-values, t-tests, and ANOVA.
- Craft clear reports: Communicate insights with precision and clarity.
- Excel in regression: Use linear and multivariable models properly.
- Clean and prep data: Make sure it's correct through transformation and validation.
- Visualise data: Create impactful charts and graphs for better insights.
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.What our students say
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