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
$19.99$34.99
Refundable within 60 days
৳2500
৳ 4000
Non-refundable
$34.98$54.98
Refundable within 60 days
৳4100
৳6500
Non-refundable
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.
Click each course card to view the tentative syllabus
Dr. Raheem has 20 years of analytic experience, 6+ years of which is in US healthcare system. He is currently a Principal Data Scientist
All foundational topics in Python and Statistics will be covered
Thoroughly detailed pre-recorded video lectures with ample examples and exercises plus their solutions
This course is designed by Dr. Raheem who has experience teaching undergraduate and graduate levels at universities in the USA at
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
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.
$19.99$34.99
Refundable within 60 days
৳2500
৳ 4000
Non-refundable
$34.98$54.98
Refundable within 60 days
৳4100
৳6500
Non-refundable
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.
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.
Fee rises as more contents are added.
Register early to save up to 37%