# Probability and Statistics To Boost Up Your Career.

## Course 1

### Introduction to Statistical Concepts

Modeling randomness and understanding variability are two common goals in building data models. Probability and Statistics have the essential foundations to understand and reason analytically behind data-based decisions. In this course, students will gain a basic understanding of randomness, chance, and applied statistics concepts.

### Introduction to Statistical Concepts

4 Levels options | 4 Time options

## Course 2

### Probability Concepts for Data Science

Modeling randomness and understanding variability are common goals in building data models. Probability and Statistics have the essential foundations to understand and reason analytically behind data-based decisions. In this course, students gain a basic understanding of probability.

### Probability Concepts for Data Science

4 Levels options | 4 Time options

## Course 3

### Inferential Statistics for Data Science

Hypothesis testing and inferential methods are used to discover the significance of variables that affect outcomes. In this course, inferential statistical foundations will be covered along with z-, t-, F-, Chi-squared distributions and their related tests.

### Inferential Statistics for Data Science

4 Levels options | 4 Time options

## Course 4

### Regression and Prediction

As a supervised method, students will learn the foundations of regression analysis with applications. Students will gain a basic understanding of model interpretation, assessment, improvement, and the pitfalls behind regression analysis.

### Regression and Prediction

4 Levels options | 4 Time options