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:
July, 2024
Contents will be continuously added and updated.
Format
Pre-recorded video lectures
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
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
Frequently Asked Questions (FAQ)
What will be covered in this course exactly?
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.
What topics will be covered in Python?
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
Is it a live class? If so what is the schedule?
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.
Why the course will start in December of 2023, and why not now?
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.
Will I have access to the course in the future?
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.
If I miss a live class, can I watch the session later?
All sessions are pre-recorded. There is no live class. However, there will be live office hours, which will be announced later.
Where do I go if I have questions?
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.
How much does the course cost?
Please see the bottom of this page for most up-to-date pricing.
Will the price be lowered in the future?
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.
What's the pricing schedule look like?
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)
How about discounts on special occasions?
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
Coverage of Topics
All foundational topics in Python and Statistics will be covered
Lots of Examples
Thoroughly detailed pre-recorded video lectures with ample examples and exercises plus their solutions
Designed by professional
This course is designed by Dr. Raheem who has experience teaching undergraduate and graduate levels at universities in the USA at
What students are saying about the Instructor
His teaching ability is outstanding. Explanations are comprehensible.
This is the best beginner Python tutorial who are trying to break into data science and learn Python.
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 priceTk.3,500
Tk. 2,500
(Saves Tk. 1,000)
Launch special price ends on
Jan15, 2023
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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%
