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Statistics For Data Science Course

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What will I learn?

Unlock the power of data with our Statistics for Data Science Course, perfect 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.

Apoia's Unique Features

Online and lifetime access to courses
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you wish to study
Set your own course workload
Instant feedback on practical activities
Study anytime, no internet required

Develop skills

Strengthen your practical skills in the areas listed below.

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

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.