What you'll learn:
- SQL - MySQL for Data science.
- Write complex SQL queries across multiple tables.
- Relational databases versus non relational databases.
- Learn how to code in SQL
- Sampling distribution with practical simulation apps and answering of important technical questions.
- Confidence level and Confidence interval.
- Distinguish and work with different types of distributions .
- 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 ?
- Null hypothesis and alternative hypothesis .
- Understand 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
- What is "double edged sword of statistics" ?
- Practical significance versus statistical significance , and more and more to learn it
300+ Lectures/Articles lectures include real life practical projects and examples for people need to learn SQL - MySQL for data science and statistics
Enjoy practice 25 Apps/Projects in SQL - MySQL for data analytics and learn Statistics for data science .
This is the Complete 2021 Bootcamp , Two courses in ONECOURSE.
Do you like jobs in MySQL for data science ?
Do you like jobs in Machine learning ?
Do you like jobs in Marketing analyst ?
Do you like jobs in Programming for data science ?
Do you like jobs in Business analysis and business intelligence ?
If the answer is yes , then all of the above needs MySQL and Statistics for data science .
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 300+ Lectures/Articles to cover everything related to SQL - MySQL & statistics for data science .
In no time with simple and easy way you will learn and love SQL for data science and statistics .
We stress in this course to make it very spontaneous to make all students love SQL and statistics for data science .
Who's teaching you in this course ?
I'm senior developer and chief data science 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 300+ Lectures/Articles in super high quality to make all students enjoy and love SQL for data science and statistics.
I'm sharing a lot of practical experience from my own work with you in this course .
Why learn MySQL or SQL ?
MySQL is a popular database platform for businesses because it is extremely easy to use. It is commonly used in combination with web development and data science . You hear “it’s easy to work with” a lot in relation to computer languages, but MySQL truly is simple.
For instance, someone with little to no knowledge of MySQL can easily establish a database .
Of course, a lot of hosting providers make this process even simpler by handling all the necessary tasks for new website administrators, but it doesn’t detract from the point that MySQL is relatively easy to use.
I could not imagine data science without databases .
What is my final goal after my students enroll in this course ?
My final goal is to make all students and engineers love SQL for data science and 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 LOVESQL for data science and statistics
So, what are you waiting for? Click the “Take this course” button, and let’s begin this journey together!
What is course contents ?
Starting introduction to data science and data analysis .
Understand programming basics for data science
learn SQL - MySQL basics .
Write all the SQL joins
Create Foreign key and primary key in MySQL databases .
Learn how to start and stop MySQL server .
Analyze data using Aggregate Functions .
Read and import external CSV files into MySQL database .
Export MySQL database table contents into CSVfile .
Awesome Projects and examples like :How Mr. Genie helped us to find all fishes in the sea ?
Mr. Genie power versus statistics power
The double edged sword of statistics
Help fisherman to catch Tuna using sampling distribution
Ice Cola example with student's t distribution .
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
Project one is how Sarah used "one sample mean t test" for Ice Cola factory to prove that her brother Ibrahim is innocent ?
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
#SQL #MySQL #MySQL-for-data-science #SQL-for-Data-science
