The Complete Statistics Journey From Zero to Hero
Published 10/2025
Duration: 3h 8m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.17 GB
Genre: eLearning | Language: English
Published 10/2025
Duration: 3h 8m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.17 GB
Genre: eLearning | Language: English
Statistics Probability Data Science Descriptive Statistic Inferential Statistic Hypothesis Testing Distribution Project
What you'll learn
- Understand Descriptive and Inferential Statistics from scratch
- Master key concepts like Mean, Median, Variance, Standard Deviation & Distributions
- Perform real-world data analysis with Pandas, NumPy, and SciPy
- Conduct Hypothesis Tests, calculate p-values, and interpret significance
- Detect outliers, understand correlations, and visualize statistical insights
- Build confidence with guided exercises, quizzes, and a final capstone project
Requirements
- You will learn everything you need to know here
Description
Statistics is thelanguage of data science— and this course will teach you to speak it fluently.
Whether you’re abeginnertaking your first step into data or acareer changereager to master the foundations, this course is your complete roadmap from zero knowledge to data confidence.
InFrom Zero to Hero : The Complete Statistics Journey, you’ll learnstatistics the way it should be taught— by understanding themath behind the conceptsandseeing it in actionthrough Python.
We’ll start from the absolute basics — what statistics is and why it matters — and gradually move to advanced topics likehypothesis testing, confidence intervals, correlation, and real-world data analysis projects.
Unlike traditional theory-heavy courses, this one blendsconcepts, coding, and intuition. You’ll first learn the “why” usingwhiteboard explanations, then apply the “how” throughhands-on Python demos and projects— so every concept sticks for life.
What You’ll Learn:
Understand Descriptive and Inferential Statistics from scratchMaster key concepts like Mean, Median, Variance, Standard Deviation & DistributionsPerform real-world data analysis with Pandas, NumPy, and SciPyConduct Hypothesis Tests, calculate p-values, and interpret significanceDetect outliers, understand correlations, and visualize statistical insightsBuild confidence with guided exercises, quizzes, and a final capstone project
How You’ll Learn:
Whiteboard walkthroughsfor crystal-clear math explanations
Python coding sessionsto apply every concept practically
Mini projects and real datasetsto simulate data science work
Step-by-step learning pathbuilt for absolute beginners
Who This Course Is For:
Students & beginners curious about data science
Career changers transitioning into analytics or data science
Anyone who wants to strengthen their statistics foundation for machine learning
By the end of this course, you’ll be able to:
Confidently analyze datasets, perform statistical tests, and interpret data like a true data scientist — with boththeory and practical Python skillsin your toolkit.
Who this course is for:
- Students & beginners curious about data science
- Career changers transitioning into analytics or data science
- Anyone who wants to strengthen their statistics foundation for machine learning
More Info