Statistics For Data Science Course
What will I learn?
Unlock the power of data with our Statistics for Data Science Course, tailored for Business Intelligence professionals. Delve 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.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master Descriptive Statistics: Analyse 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.
Analyse Correlations: Understand and apply correlation coefficients in data.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.