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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. Dive into descriptive statistics to master measures of central tendency and dispersion. Explore data structures, identify anomalies, and handle missing values with ease. Build predictive models using linear regression, and enhance your decision-making with hypothesis testing and correlation analysis. Gain actionable insights and communicate results effectively, all through concise, high-quality lessons designed for your success.
- Master Descriptive Statistics: Analyze data with central tendency and dispersion.
- Explore Data Techniques: Detect anomalies and manage missing data effectively.
- Build Predictive Models: Create and assess linear regression models for insights.
- Conduct Hypothesis Testing: Formulate and interpret statistical test results.
- Analyze Correlations: Understand and apply correlation coefficients in data.

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. Dive into descriptive statistics to master measures of central tendency and dispersion. Explore data structures, identify anomalies, and handle missing values with ease. Build predictive models using linear regression, and enhance your decision-making with hypothesis testing and correlation analysis. Gain actionable insights and communicate results effectively, all through concise, high-quality lessons designed for your success.
Elevify advantages
Develop skills
- Master Descriptive Statistics: Analyze data with central tendency and dispersion.
- Explore Data Techniques: Detect anomalies and manage missing data effectively.
- Build Predictive Models: Create and assess linear regression models for insights.
- Conduct Hypothesis Testing: Formulate and interpret statistical test results.
- Analyze Correlations: Understand and apply correlation coefficients in data.
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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