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# Statistics & Applied Data Science - Business Data Analysis

via Udemy

## Overview

Data Science Statistics : Data Science from Scratch for Beginners : Data Analysis Techniques, Method Course : Analytics

What you'll learn:
• Data analysis FAQÂ related to interview questions in your career .
• Four main things you should know them in data analysis and business analysis
• HYPOTHESISÂ TESTING
• Normal distribution and standard normalÂ  in details using Z table .
• Sampling distribution with practical simulation apps and answering of important technical questions .
• Confidence level and Confidence interval .
• What is t distribution ? ( with projects )
• Inferential and Descriptive statistics with collection of important quizzes and examples .
• One sample mean t test .
• Two sample means t test .
• How to calculate P value using manual and direct method ?
• What is after data analysis ?
• TWOÂ PROJECTSÂ  related to hypothesis testing
• Null hypothesis and alternative hypothesis .
• What is P value ?
• Data types and Why we need to study data types ?
• What is Type one error ?
• Relationship between Type one error and Alpha ( non confident probability )
• Is Normal distribution and t distributions are cousins ?
• Projects like Estimation of goals in premier league ( using confidence interval ) , and more .. and more to learn it
• Ice Cola example with student's t distribution .
• Help fisherman to catch Tuna using sampling distribution
• What is "double edged sword of statistics" ?
• Is programming something mandatory to learn data analysis and business analysis ?
• Practical significance versus statistical significance , and more to learn .. and more to learn it

270+ video lectures include real life practical projects and examples for people need to learn statistics for Machine learning and Data Analysis .

Do you like jobs in data analysis and data science ?
Do you like jobs in Machine learning ?
Do you like jobs in Marketing analyst ?

All of these jobs above need learning STATISTICS.

Who prepared this course material ?

This course material is prepared from highly experienced engineers worked in a leader companies like Microsoft , Facebook and google .

After hard working from five months ago we created +270 Lectures/Articles to cover everything related to practical statistics .
In no time with simple and easy way you will learn and love statistics .
We stress in this course to make it very spontaneous to make all students love statistics .

Who's teaching you in this course ?

My name is Mahmoud , i'm senior consultant and system analyst engineer i worked for many projects related to expert Systems and artificial intelligence .
Also i worked as Tutor and consultant trainer with a leader international companies located in USA and UK .

I spent over five months of hard working to create +270 lectures/Articles with high quality to make all students enjoy and love statistics .
I'm sharing a lot of practical experience from my own work with you in this course .

What is my final goal after my students enroll in this course ?

My final goal is to make all students and engineers love practical statistics .
My big challenge in this course is to make it professional course at the same time it should be very easy and simple for all People .
Therefore you will notice that i used a lot of graphics and imaginary ideas to make you LOVEDATAANALYSIS

What is course contents ?

• Starting with FAQrelated to interview questions in your career .

• What is after data analysis ?

• Descriptive statistics with collection of important quizzes and examples .

• Normal distribution and standard normal in details using Z table .

• Sampling distribution with practical simulation apps and answering of important technical questions .

• Confidence level and Confidence interval .

• what is t distribution ? ( with examples )

• What is DEGREEOFFREEDOM? ( with examples )

• One tail and two tail in Confidence level .

• Awesome Projects and examples like :

1. How Mr. Genie helped us to find all fishes in the sea ?

2. Mr. Genie power versus statistics power

3. The double edged sword of statistics

4. Help fisherman to catch Tuna using sampling distribution

5. Ice Cola example with student's t distribution .

6. Estimation of goals in premier league ( using confidence interval ) .

• TAKE YOURBREATH BEFOREHYPOTHESISTESTING

• One sample mean t test .

• Two sample mean t test .

• Null hypothesis and alternative hypothesis .

• What is P value ?

• How to calculate P value using manual and direct method ?

• Two mini stories for TWOPROJECTS related to hypothesis testing

1. Project one is how Sarah used "one sample mean t test" for Ice Cola factory to prove that her brother Ibrahim is innocent ?

2. Project two how Sarah used "two sample mean t test" for Ice Cola factory to help her brother Ibrahim to increase Ice Cola sales in winter ?

• ... more and more

• .... and more and more course contents

#data-science #data #science #data_science #statistics-for-data-science #data_analysis#data-analysis#data #science #analysis #analytics #beginners #techniques #methods #machine-learning#statistics

Mahmoud Ali

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