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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 here in Pakistan. Dive into descriptive statistics to thoroughly understand measures of central tendency and dispersion. Explore different data structures, identify irregularities (anomalies), and handle missing values with ease. Build predictive models using linear regression, and improve your decision-making capabilities through hypothesis testing and correlation analysis. Acquire actionable insights and communicate findings effectively, all through concise, high-quality lessons developed to help you succeed.
- Master Descriptive Statistics: Analyse data using measures of central tendency and dispersion.
- Explore Data Techniques: Detect irregularities 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 from 4 to 360h
certificate recognized by the MEC
What will I learn?
Unlock the power of data with our Statistics for Data Science Course, specifically designed for Business Intelligence professionals here in Pakistan. Dive into descriptive statistics to thoroughly understand measures of central tendency and dispersion. Explore different data structures, identify irregularities (anomalies), and handle missing values with ease. Build predictive models using linear regression, and improve your decision-making capabilities through hypothesis testing and correlation analysis. Acquire actionable insights and communicate findings effectively, all through concise, high-quality lessons developed to help you succeed.
Elevify advantages
Develop skills
- Master Descriptive Statistics: Analyse data using measures of central tendency and dispersion.
- Explore Data Techniques: Detect irregularities 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 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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