Statistics For Data Science Course
What will I learn?
Unlock the power wey data get with our Statistics for Data Science Course, wey we tailor make e dey korrect for Business Intelligence professionals like una. Enter inside descriptive statistics so you go sabi measures of central tendency and dispersion well well. Explore data structures, identify when things no dey follow normal, and handle missing values with easy. Build predictive models using linear regression, and make your decision-making sharp sharp with hypothesis testing and correlation analysis. Gain correct insights wey you fit use do something, and talk about your results make e clear for everybody to understand, all through short, short lessons wey get quality wey dey on point, wey we design so una go succeed.
Apoia's Unique Features
Develop skills
Enhance your practical skills as listed below
Master Descriptive Statistics: Analyze data using central tendency and dispersion.
Explore Data Techniques: See when data no dey correct and manage missing data well.
Build Predictive Models: Create and check linear regression models to get better understanding.
Conduct Hypothesis Testing: Formulate and interpret statistical test results.
Analyze Correlations: Understand and apply correlation coefficients for data.
Suggested summary
Workload: between 4 and 360 hours
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
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.