LearnStatistics for Data Science

Statistics for Data Science
Intermediate Level.

Take your statistics skills to the next level. Master normal distributions, z-scores, confidence intervals, and hypothesis testing.

Prerequisite Required

Complete Statistics Foundations before starting this course.

Course Overview

Modules

Duration

5 hours

Normal DistributionZ-ScoresCentral Limit TheoremConfidence IntervalsHypothesis Testing

Learning Modules

Build on your foundation with inferential statistics, the tools you need to make predictions and decisions from data.

Module 1: The Normal Distribution

Intermediate

Master the bell curve, the most important shape in statistics. Learn why it appears everywhere and how to use it.

55 min

4 topics

Topics covered

1Bell Curve Properties

2Mean & Standard Deviation

368-95-99.7 Rule

4Why Normal Appears Everywhere

4 lessons

Interactive

Start

Module 2: Z-Scores & Standardization

Intermediate

Learn to compare apples to oranges. Convert any value to a standard scale and compare across different datasets.

50 min

4 topics

Topics covered

1Z-Score Formula

2Standardizing Data

3Comparing Across Scales

4Finding Unusual Values

4 lessons

Interactive

Start

Module 3: Sampling & Central Limit Theorem

Intermediate

Discover the magic of sampling. Learn why small samples can tell us about huge populations.

60 min

4 topics

Topics covered

1Why We Sample

2Sampling Variation

3Central Limit Theorem

Module 4: Confidence Intervals

Intermediate

Stop giving single-number answers. Learn to express uncertainty with confidence intervals.

55 min

4 topics

Topics covered

1Point vs Interval Estimates

2Building a 95% CI

3Interpreting CIs Correctly

Module 5: Hypothesis Testing

Intermediate

Learn to make data-driven decisions. Test claims, understand p-values, and avoid common mistakes.

65 min

4 topics

Topics covered

1Null & Alternative Hypotheses

2P-Values Explained

3Type I & Type II Errors

4Statistical vs Practical Significance

4 lessons

Interactive

Start

Statistics for Data ScienceIntermediate Level.

Course Overview

Learning Modules

Module 1: The Normal Distribution

Topics covered

Module 2: Z-Scores & Standardization

Topics covered

Module 3: Sampling & Central Limit Theorem

Topics covered

Module 4: Confidence Intervals

Topics covered

Module 5: Hypothesis Testing

Topics covered

Statistics for Data Science
Intermediate Level.