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Statistics For Data Science Course
Unlock the power of data with our Statistics for Data Science Course, tailored for Business Intelligence professionals. Deep dive into descriptive statistics to properly understand measures of central tendency and dispersion. Explore data structures, spot anomalies, and handle missing values with ease. Build predictive models using linear regression, and improve your decision-making with hypothesis testing and correlation analysis. Get actionable insights and share results properly, all through short, quality lessons designed for you to succeed.
- Master Descriptive Statistics: Analyse data using central tendency and dispersion measures.
- Explore Data Techniques: Spot anomalies and handle missing data properly.
- Build Predictive Models: Create and assess linear regression models to get useful info.
- Conduct Hypothesis Testing: Formulate and understand statistical test results.
- Analyse Correlations: Understand and use correlation coefficients in data.

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, tailored for Business Intelligence professionals. Deep dive into descriptive statistics to properly understand measures of central tendency and dispersion. Explore data structures, spot anomalies, and handle missing values with ease. Build predictive models using linear regression, and improve your decision-making with hypothesis testing and correlation analysis. Get actionable insights and share results properly, all through short, quality lessons designed for you to succeed.
Elevify advantages
Develop skills
- Master Descriptive Statistics: Analyse data using central tendency and dispersion measures.
- Explore Data Techniques: Spot anomalies and handle missing data properly.
- Build Predictive Models: Create and assess linear regression models to get useful info.
- Conduct Hypothesis Testing: Formulate and understand statistical test results.
- Analyse Correlations: Understand and use correlation coefficients in 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.What our students say
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