Skip to main content
AI, Machine Learning & Data Science2025-5 Edition100% Free Video Course

ZeroToMastery – Data Analysis for Beginners: Python & Statistics Guide

Data Analysis for Beginners: Python & Statistics is a course on fundamental skills in data analysis using Python and essential statistical techniques published by Udemy Online Academy. This is a beginner-friendly course designed to equip learners with fundamental skills in data analysis using Python and essential statistical techniques. Designed for those with little or no prior experience, the course simplifies complex concepts and provides a practical approach to understanding and applying data analysis in real-world scenarios.Key points include understanding core statistical concepts such as mean, median, mode, standard deviation, and probability; learning how to use Python libraries such as Pandas, NumPy, and Matplotlib to manage and visualize data; working with real-world datasets to identify trends and correlations; performing descriptive and inferential statistical analyses; cleaning and preparing data for analysis; visualizing data through graphs and shapes; drawing insights from data using hypothesis testing and correlation analysis; and building a strong foundation for more advanced studies in data science and machine learning. By the end, individuals will be able to analyze datasets, interpret results, and make data-driven decisions with confidence.

56 Video Lessons
9.6 Hours On-Demand
Created by Senior Industry Specialist
Uploaded Sep 2026
English
ZeroToMastery – Data Analysis for Beginners: Python & Statistics Guide
Preview This Course
Free$129.99100% Free

Instant high-definition streaming with zero paywalls.

Course Features:
9.6 hours on-demand video
56 complete lectures
1 downloadable project zip file(s)
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this Course

Understand Python’s core syntax for data and math tasks
Perform basic and intermediate statistical analysis in Python
Test your skills by building a virtual escape room
Build your confidence for entry-level data analysis roles
And…

Course Curriculum56 Lectures

1 sections • 9.6 hours total length

Prefer offline learning? Download all 56 video lectures and project files for free.
Download Free
Creating-a-Google-Account-319K
Preview
6m
Game-Plan-559K
Preview
4m
Introduction-468K
6m
Setting-Up-the-Course-Materials-419K
4m
Input-Function-533K
7m
Print-Function-553K
7m
Python-Input-Function-322K
9m
Python-Print-Function-307K
11m
Variable-Types-256K
3m
CHALLENGE-Your-Superhero-Name-391K
9m
Python-Variable-Types-308K
7m
Arithmetic-Operators-567K
9m
Comparison-Operators-587K
6m
Python-Arithmetic-Operators-311K
7m
Python-Comparison-Operators-373K
7m
CHALLENGE-Split-Bill-Calculator-451K
15m
EXERCISE-Can-You-Vote -339K
3m
Python-if-else-Conditions-313K
6m
The-if-else-Condition-554K
9m
EXERCISE-Grading-Papers-347K
6m
Wrap-Up-Python-Essentials-724K
5m
CHALLENGE-Your-Monthly-Savings-Plan-447K
31m
Game-Plan-425K
4m
While-Loop-587K
4m
Python-While-Loops-293K
6m
EXERCISE-Countdown-Times-370K
7m
Python-Lists-324K
12m
EXERCISE-Monthly-Expense-Report-418K
9m
EXERCISE-Fibonacci-Sequence-373K
8m
Randomization-581K
8m
Python-Randomization-318K
6m
EXERCISE-Movie-Picker-454K
10m
CHALLENGE-Berghain-Club-Bouncer-468K
20m
Python-Lists-533K
11m
Dictionaries-506K
7m
Python-Dictionaries-319K
7m
EXERCISE-Magical-Pet-Sounds-426K
10m
For-Loops-563K
7m
CHALLENGE-Budget-Mastermind-527K
29m
Python-For-Loops-298K
4m
EXERCISE-Sum-of-Numbers-340K
5m
EXERCISE-Counting-the-Number-of-Characters-354K
10m
CHALLENGE-Treasure-Hunter-470K
23m
Python-Functions-337K
7m
Functions-534K
10m
EXERCISE-Function-That-Adds-Numbers-319K
3m
EXERCISE-Function-That-Counts-Vowels-320K
5m
EXERCISE-Function-That-Transforms-Fahrenheit-to-Celsius-409K
10m
CHALLENGE-Read-my-Mind-389K
11m
Wrap-Up-Python-Intermediate-Skills-486K
5m
Project-Presentation-Virtual-Escape-Game-432K
9m
Python-Plan-the-Solution-562K
14m
Python-Check-User s-Answer-Function-438K
12m
CHALLENGE-Recipe-Converter-529K
45m
Python-Solving-with-ChatGPT-662K
17m
Python-Prepare-Game-705K
43m

Requirements

  • Basic enthusiasm to learn and follow along with lessons
  • A computer or mobile device with a modern internet connection

Description

Data Analysis for Beginners: Python & Statistics is a course on fundamental skills in data analysis using Python and essential statistical techniques published by Udemy Online Academy. This is a beginner-friendly course designed to equip learners with fundamental skills in data analysis using Python and essential statistical techniques. Designed for those with little or no prior experience, the course simplifies complex concepts and provides a practical approach to understanding and applying data analysis in real-world scenarios.Key points include understanding core statistical concepts such as mean, median, mode, standard deviation, and probability; learning how to use Python libraries such as Pandas, NumPy, and Matplotlib to manage and visualize data; working with real-world datasets to identify trends and correlations; performing descriptive and inferential statistical analyses; cleaning and preparing data for analysis; visualizing data through graphs and shapes; drawing insights from data using hypothesis testing and correlation analysis; and building a strong foundation for more advanced studies in data science and machine learning. By the end, individuals will be able to analyze datasets, interpret results, and make data-driven decisions with confidence.

Instructor

S

Senior Industry Specialist

Specialist in AI, Machine Learning & Data Science

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

Recommended Curriculum

Students Also Viewed