Statistics - Full University Course on Data Science Basics
By freeCodeCamp | Free Course on YouTube
4.3
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Created by
Qasrawii Academy
Last updated 3/2026
EN
Beginner
517 min total
What you'll learn
Course Content
4 sections • 34 lessons • 517m total length
Getting Started
Statistics For Data Analytics | Complete Syllabus | Data Science | Statistics Tutorial | Part 1
Preview
4:00
Types of Statistics | Descriptive | Inferential | Statistics for Data Science | Statistics Tutorial
Preview
9:00
Types of Data | Types of Variables | Statistics for Data Science | Part 3 | Statistics Tutorial
Preview
9:00
Population and Sample | Statistics for Data Science | Part 4 | Statistics Tutorial
4:00
Sampling Techniques | Statistics for Data Science | Statistics Tutorial Part 5
8:00
Statistical Data Analysis Complete Steps | Statistics for Data Science | Statistics Tutorial Part 6
5:00
Measures of Central Tendency | Mean, Median, Mode | Statistics Tutorial Part 7
10:00
Measures of Dispersion | Variance, Standard Deviation, Range, IQR, Quartiles, Percentiles | Part 8
13:00
Frequency | Relative Frequency | Cumulative Frequency | Statistics Tutorial Part 9
6:00
Must know Visualization in Statistics | Descriptive Statistics | Ultimate Guide !! | Part 10
18:00
Fundamentals
Outliers | Removing Outliers | Outliers detection | Impact on Data Analysis | Statistics Tutorial
5:00
Correlation | Covariance | Causation | Difference between them | Statistics
9:00
Probability Concepts for Data Analysis and Data Science | Statistics for Data Science
8:00
Types of Events | Probability | Statistics Tutorial | Joint | Disjoint | Independent | Dependent
10:00
Conditional Probability | Statistics Tutorial
3:00
Bayes Theorem | Conditional Probability | Statistics Tutorial
8:00
PMF | PDF | Probability Distributions | Probability Mass Function | Probability Density Function
7:00
Bernoulli Distributions | Binomial Distributions | Discrete Probability Distributions
7:00
Uniform Distribution | Continuous Distribution | Statistics Tutorial | Probability Distribution
4:00
Normal Distributions | Standard Normal Distributions | Z Distributions | Z Score
5:00
Core Concepts
Standardisation | Normalisation | Probability Distributions | Feature Scaling
9:00
Empirical Rule | 68-95-99.7 Rule | Normal Distributions | Statistics Tutorial
5:00
Inferential Statistics | Point Estimation | Interval Estimation | Statistics Tutorial
12:00
Confidence Interval | Interval Estimation | Margin of Error | Statistics Tutorial
9:00
Student's T Distribution | Z Distribution | T test | Statistics Tutorial
4:00
Hypothesis Testing| Null and Alternate Hypothesis | Level of Significance | P Value | Statistics
10:00
Type 1 and Type 2 Error | Hypothesis Error | Statistics Error
4:00
One tailed and Two tailed Tests | Hypothesis Testing | Detailed Explanation with Example
3:00
Z Test hypothesis Testing | Types of Z Test | Explanation with example | Statistics
6:00
Complete STATISTICS for Data Science | Data Analysis | Full Crash Course
226:00
Intermediate Topics
Statistics Project On Hypothesis Testing You NEED In Your Portfolio | Data Analytics Project
55:00
T Test Hypothesis Testing | Independent and Paired T Test | Statistics Tutorial
5:00
ANOVA Test | F Statistics | One Way ANOVA | Two Way ANOV | Statistics Tutorial
10:00
Chi Square Test | Test for Independence | Goodness of Fit Test | Statistics Tutorial
7:00
Description
Complete statistics course covering descriptive statistics, probability, distributions, hypothesis testing, regression, and ANOVA.
Original course by freeCodeCamp. Curated and organized for optimal learning on Qasrawii LMS.
Original course by freeCodeCamp. Curated and organized for optimal learning on Qasrawii LMS.
Requirements
- A computer with internet access
- Willingness to learn
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Free
Open Access
This course includes:
34 lessons
517 minutes of content
Beginner level
EN
Full lifetime access
Certificate of completion