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Statistics For Data Science Course
Unlock the power of data with our Statistics for Data Science Course, specifically designed for Business Intelligence professionals in India. Delve into descriptive statistics to expertly handle measures of central tendency and dispersion. Explore data structures, identify outliers, and manage missing values with ease. Develop predictive models using linear regression, and enhance your decision-making skills with hypothesis testing and correlation analysis. Gain actionable insights and communicate findings effectively, all through concise, high-quality lessons crafted for your success.
- Master Descriptive Statistics: Analyse data using measures of central tendency and dispersion.
- Explore Data Techniques: Detect outliers and manage missing data effectively.
- Build Predictive Models: Develop and evaluate linear regression models for insights.
- Conduct Hypothesis Testing: Formulate and interpret statistical test results.
- Analyse Correlations: Understand and apply correlation coefficients in data.

flexible workload of 4 to 360h
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 in India. Delve into descriptive statistics to expertly handle measures of central tendency and dispersion. Explore data structures, identify outliers, and manage missing values with ease. Develop predictive models using linear regression, and enhance your decision-making skills with hypothesis testing and correlation analysis. Gain actionable insights and communicate findings effectively, all through concise, high-quality lessons crafted for your success.
Elevify advantages
Develop skills
- Master Descriptive Statistics: Analyse data using measures of central tendency and dispersion.
- Explore Data Techniques: Detect outliers and manage missing data effectively.
- Build Predictive Models: Develop and evaluate linear regression models for insights.
- Conduct Hypothesis Testing: Formulate and interpret statistical test results.
- Analyse 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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