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Statistics Course For Data Science
Unlock the power of data with our Statistics Course for Data Science, specially designed for Business Intelligence professionals here in Ireland. Delve into hypothesis testing, master p-values, t-tests, and ANOVA. Improve your reporting skills, communicating clearly and offering actionable insights. Explore regression analysis, including assessing model fit and using multivariable techniques. Hone your data cleaning and preparation abilities, and excel in sales data analysis through customer segmentation and trend spotting. Elevate your data visualisation with effective histograms, bar charts, and line graphs. Sign up now to boost your data expertise!
- Master hypothesis testing: Analyse data using p-values, t-tests, and ANOVA.
- Craft clear reports: Communicate insights precisely and clearly.
- Excel in regression: Implement linear and multivariable models effectively.
- Clean and prep data: Ensure accuracy through transformation and validation.
- Visualise data: Create impactful charts and graphs for better insights.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Unlock the power of data with our Statistics Course for Data Science, specially designed for Business Intelligence professionals here in Ireland. Delve into hypothesis testing, master p-values, t-tests, and ANOVA. Improve your reporting skills, communicating clearly and offering actionable insights. Explore regression analysis, including assessing model fit and using multivariable techniques. Hone your data cleaning and preparation abilities, and excel in sales data analysis through customer segmentation and trend spotting. Elevate your data visualisation with effective histograms, bar charts, and line graphs. Sign up now to boost your data expertise!
Elevify advantages
Develop skills
- Master hypothesis testing: Analyse data using p-values, t-tests, and ANOVA.
- Craft clear reports: Communicate insights precisely and clearly.
- Excel in regression: Implement linear and multivariable models effectively.
- Clean and prep data: Ensure accuracy through transformation and validation.
- Visualise data: Create impactful charts and graphs for better insights.
Suggested summary
Before starting, you can change the chapters and the 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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