Statistics for Data Science with Python

Discover statistics like never before as it applies to data science and machine learning

Basic Python knowledge is assumed but new topics will be taught as part of the course


Important dates

Course started:
Dec 15, 2023

Expected completion:
Aug/September, 2024

Live classes every Saturday wile topics last.


Format

Pre-recorded video lectures/Live classes while the contents are being developed.

Office Hours

Live with the Instructor

Support System

Facebook Group

Package 1

  • Includes complete Statistics for Data Science course
  • and
    Complete Python fundamentals course
  • Support using Facebook Group + Live Office Hours

Card Payment

$19.99
$34.99

Refundable within 60 days


bKash/Nagad Payment

৳2500
 4000

Non-refundable

Package 2

  • Includes complete Statistics for Data Science course
  • and Python Data Science stack (Fundamentals + NumPy, Pandas, Matplotlib, Scikit-Learn)
  • Support via Facebook Group + Live Office Hours

Card Payment

$34.98
$54.98

Refundable within 60 days


bKash/Nagad Payment

৳4100
6500

Non-refundable

Frequently Asked Questions (FAQ)

Basic Python language for absolute beginners. If you have never used Python, you will learn it.

For statistics, please see a tentative outline of topics at the link below.

https://www.dataskool.org/courses/stats4ds

You can view the link from under the "Bundle at a Glance" section, too. You have to click the course icon there.


Creating Python Environment
- Installing Anaconda Python system (this course will use this)
- Introduction to Google Colab (browser-based Python, no installation needed)
- Introduction to other browser-based Python systems

Python fundamentals
- Computer science basics (bits, bytes, memory)
- Built in Data structures (list, tuple, dictionary, set)
- Functional and Object Oriented Programming concepts and applications
- Understanding the language from a data scientist's perspective (not from a software engineer's perspective)

FOR THE PYTHON DATA SCIENCE STACK

Python Foundations +

Numpy
- Arrays
- Vectorization

Pandas
- Handling external data
- Data cleaning
- Data transformation (join, reshape)

Matplotlib, Seaborn
- Data visualization

Statsmodel
- Statistical computation
- Summary tables
- Linear Regression Analysis
- Regression diagnostics
- Logistic regression analysis

Scikit-Learn
- Fitting regression models using scikit-learn
- Fitting logistic regression for classification problems

Simulation and Computation
- Random number generation
- Plotting probability distributions
- Understanding confidence intervals using Monte Carlo simulation
- More examples involving simulation

In short, this is not a live course. That is, it is not like a typical semester-long course.

The contents are mostly pre-recorded. There will be some live sessions as I am launching it for the first time.

There will be at most 2 hours of live class per week. But most likely, it will be 1 hour per week to begin with. 

Because the course materials are not ready to release.

The contents will be released as they are prepared, recorded, and uploaded to the learning management system.

That is to say, the contents will be released continuously through the first six months of 2024. I will continue updating, refining, and adding new contents thereafter.

All course contents will be accessible forever. Forever means for the life of the platform. I expect to maintain it as long as I am financially able to do so.

This is not a venture capital funded project. 

All sessions are pre-recorded. There is no live class. However, there will be live office hours, which will be announced later.

This is a learn-at-your-pace course. The instructor will have live office hours to answer your questions or to clarify an existing lecture or topic.

There is a Facebook group for this course. You can ask questions there and the instructor or other members of the community will respond.

https://www.facebook.com/groups/dataskool

You will be supported as much as practically possible.

Please note, however that you should not expect it to be one-on-one tutoring. It is not.

Please see the bottom of this page for most up-to-date pricing.

This is the absolute lowest price you can get this course for. This is the launch special price. You are paying this ridiculously low price because you've trusted me on this without seeing any content.

Course price will only increase in the future as more contents are added. 

Here's a tentative schedule which may change any time. For most up to date pricing, see the bottom of this page.

Tier 1 Schedule (Launch special): US $19.99 (BTD 2,500)
Tier 2 Schedule (February 2024): US $24.99 (BTD 3,000)
Tier 3 Schedule (April 2024): US $29.99 (BDT 3,500)
Tier 4 Schedule (July 2024): US $34.99 (BDT 4,000)

We may offer special discounts during festivals such as Eid and other holidays. It may go as low as Tier 2 level. Or between Tier 2 and Tier 3.

Bundle at a Glance

Click each course card to view the tentative syllabus


  • Learn Python and statistics hands-on without overloading your brain 
  • Pre-recorded video lectures in Bangla language
  • Live office hours with the instructor for course/career counseling
  • Direct help from the instructor via private Facebook group
  • Unlimited access to videos and all course materials
  • Access to all future updates

Why Learn Statistics?


because Statistics is the backbone of Data Science

Let's be honest--

 Everyone finds statistics hard

Really hard  

Some even hate it  

But it shouldn't be like that  

Statistics is beautiful
Really beautiful
Only If you discover it  

I am a statistician-turned Data Scientist with over 20 years of experience in academia and industry combined  

I have discovered the beauty of statistics  

Yes, it took many years  

And you can discover it too  

With my unique teaching style, I will help you learn statistics in a way that 'makes sense'  

I will walk you through the rough road and help you discover an oasis at the end  You will exclaim--  Yeah, this makes sense  

And that's my teaching philosophy :-)  

I've created this course with all my experience of over two decades  

And I am still learning and sharing with students so they can discover statistics like I did  

All in a little bit less time than what it took me to discover  

Yes, you can!

Of course, you can!  

JOIN me

 

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. 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 -- an online analytic learning platform.


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

All foundational topics in Python and Statistics will be covered

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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 undergraduate and graduate levels at universities in the USA at

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What students are saying about the Instructor


Shahnewaz Shameem

Student in Step into Python course

His teaching ability is outstanding. Explanations are comprehensible.

Md. Imtiaz Khalil Ullah

Student in Step into Python course

This is the best beginner Python tutorial who are trying to break into data science and learn Python. 

A.K.M Shoriful

Student in Step into Python course

I'm a student of EEE. For my research purpose, I am working with deep learning. I use chatgpt. But I'm weak in Python that's why I always realize my weakness in my research tasks. Sometimes I get too much trouble because of only not knowing Python well. I decided I will learn Python properly and I enrolled in this free course. I thought the first few videos will not be helpful for me as I know the basics. But I'm astonished, I found a lot of things new here. Insa-Allah I will continue this course.


Only Statistics with Python (Tk. 2,000)
Only Step into Python (Tk. 1,500)

Bundle price
Tk.3,500 
Tk. 2,500
(Saves Tk. 1,000)

Launch special price ends on
Jan15, 2023

Send Money 

to

+88-0155-233-6359

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.

Enroll Now


Package 1

  • Includes complete Statistics for Data Science course
  • and
    Complete Python fundamentals course
  • Support using Facebook Group + Live Office Hours

Card Payment

$19.99
$34.99

Refundable within 60 days


Nagad Payment

৳2500
 4000

Non-refundable

Package 2

  • Includes complete Statistics for Data Science course
  • and Python Data Science stack (Fundamentals + NumPy, Pandas, Matplotlib, Scikit-Learn)
  • Support via Facebook Group + Live Office Hours

Card Payment

$34.98
$54.98

Refundable within 60 days


Nagad Payment

৳4100
6500

Non-refundable

Which Package is Right for Me?


Package 1

If you have already signed up for the Python Bundle, then this is the option for you.

This package gives you access to the full Python fundamentals course at no extra cost. However, the statistics course will use NumPy, Pandas, Matplotlib, and Scikit-Learn libraries, which are not included in this package.

If you are confident with the FREE Python fundamentals course, you could try to learn these topics on your own.

Package 2

If you are a beginner to Python and looking to gain a comprehensive grasp of the Data Science Stack, which includes Python basics, NumPy, Pandas, Matplotlib/Seaborn, and Scikit-Learn, then this package may be suitable for you.

Detailed Fee Schedule


Fee rises as more contents are added.
Register early to save up to 37%