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Udemy

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 FAQ related to interview questions in your career .
  • Four main things you should know them in data analysis and business analysis
  • HYPOTHESIS TESTING
  • 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 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 ?
  • TWO PROJECTS  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 ?
  • Which programming languages i should start with it ?
  • 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 ?
Do you like jobs in Business analysis and business intelligence ?

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


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Taught by

Mahmoud Ali

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