SQL for Data Analysis

This course builds good habits in small steps to develop your SQL foundation, and gets you job-ready.
  • Unlimited access to recorded sessions
  • Access to all future updates
  • Office hours/career counseling exclusively for students


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About the Course

"Step into SQL for Data Analysis" prepares you adequately to work with relational database systems. SQL is the most important language in the industry. Even if you know R or Python or any other data analysis tools, SQL skill is what you will be interviewed on.

 Never wrote a query to retrieve data?
No problem.
This course is designed for absolute beginners who have no idea about databases or how to use SQL.

However, general computer literacy is expected either in Windows, Mac, or Linux environments.

You should be comfortable installing/uninstalling software, as well as using Windows Explorer or equivalent tools to find and organize files and folders. 

At a Glance

Course Duration

Pre-recorded video lectures (continuously developing and releasing)

Lecture Format

Asynchronous lectures– you watch on your schedule

Ample Exercises

More than 30 examples and exercise problems to build your confidence

Projects to showcase on your portfolio (will be added)

Learning Path

Builds good habits in small steps

Key Features

This course will teach PostgreSQL, which is used in many enterprise database servers such as Amazon Redshift and IBM Netezza. Industry giants like Apple, Spotify, Reddit, and Skype use PostgreSQL internally

Teaches you how to learn by doing. This approach is initially intimidating but rewarding, in the end

Taught by an instructor with 20+ years of analytic experience in academia and industry combined who has served as a Data Scientist for Fortune 100 companies in the US

Get industry perspective before you work for a company– the instructor uses SQL and knows what it takes to work with Data Engineers and stakeholders in a professional setting

Learn PostgreSQL which is the engine of choice for many enterprise database servers including Amazon Redshift, IBM Netezza to name a few

Learning Outcomes

After completing the course requirements, you would be

  • comfortable working with relational databases
  • able to pull data from multiple sources, combine them, clean them, create new features, aggregate features  
  • able to create analytic data sets suitable for business intelligence and other purposes 
  • comfortable working with data engineers and other IT people in the organization 

Who this course is for

Someone who is an absolute beginner in data analysis.

A must for someone who wants to be a data scientist.

Those who want to be a data analyst in any organization-- you will be using SQL every day!

Those who know R or Python--the common tool every industry uses to handle their data is SQL! Yes, you read it right.  

Course Curriculum (Tentative)

About the Instructor

Enayetur Raheem, Ph.D.

is a statistician and educator. He is an accomplished data scientist with over 20 years of analytic experience in academia and US healthcare industry combined.

Currently, he is a Principal Data Scientist at an AI company in the healthcare space in the US.

He has taught graduate level statistics courses at Dhaka University and several universities in the US prior to transitioning to industry as a Data Scientist. He is a lifelong learner and passionate about teaching online.  He is the founder and principal instructor at dataskool.org.


Why Choose this Course

The Instructor

Dr. Raheem has 20 years of analytic experience, 6+ years of which is in US healthcare system. He is currently a Principal Data Scientist 

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Coverage of Topics

Although designed as a beginner friendly course, most commonly used SQL clauses and use cases are covered here 

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Lots of Examples

Thoroughly detailed pre-recorded video lectures with ample examples and exercises plus their solutions

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Designed by professional

This course is designed by Dr. Raheem who has experience teaching at universities in the USA, and who uses SQL professionally in an AI company

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Payment Options

bKash Payment (in Taka)

Please send the amount to
+88-0167-090-4145
 

After sending the payment via bKash, please register below.  Please allow 24 hours for processing your request. You will receive an email confirmation when payment is received and verified.

If you have any question, please use the Contact link near the top of the page.

Credit Card Payment

Please use the payment link below.

Course Pricing

  • Step into SQL (Tier 3 Schedule)
  • $14.99 USD

    Tier 3 schedule in effect from November 10, 2022

    Enroll Now
  • Step into SQL
  • $19.99 USD

    Regular pricing schedule

    Enroll Now

bKash Payment Instructions

Send Money 

(amount in the Google form below)

to

+88-0155-233-6359

Please register below 

Please allow 24 hours for processing your request. You will receive an email confirmation when payment is received and verified.

If you have any question, please use the Contact link near the top of the page.