Course in-progress
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Lectures videos are being posted weekly. Learn at your pace. Attend monthly office hours with the instructor.
This course covers all the essential topics you need to know to use Python for data science, including:
- Python fundamentals
- Scientific computations
- Data wrangling and cleaning
- Data analysis and visualization
By the end of this course, you will be able to:
- Use Python to collect, clean, and analyze data
- Create data visualizations to communicate your findings
This course is perfect for anyone who wants to learn Python for data science, including:
Beginner Data scientists
Beginner Data analysts
Business analysts
Statisticians
Enroll today and start learning Python for data science!
Format
Pre-recorded videos
Contents will be recorded and posted as they become available.
Office Hours
Monthly Live sessions with the Instructor while the course is being developed
Support System
Facebook Group
https://www.facebook.com/groups/dataskool
SINGLE COURSE
$0.00
FULL BUNDLE
$14.99
FULL BUNDLE
TK.1600
Click each course card to view the tentative syllabus (work in progress)
Basic Python language for absolute beginners. If you have never used Python, you will learn it.
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)
Numpy
- Arrays
- Vectorization
Pandas
- Handling external data
- Data cleaning
- Data transformation (join, reshape)
Matplotlib, Seaborn, plotnine
- Data visualization
Statsmodel (may move to the Statistics with Python course)
- Statistical computation
- Summary tables
- Linear Regression Analysis
- Regression diagnostics
- Logistic regression analysis
Scikit-Learn (may move to the Statistics with Python course)
- 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
This is not a live course.
The contents are pre-recorded. There may be some live sessions as I am launching it for the first time.
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, the contents will be released continuously through 2023. 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. And there is not guarantee that will always be available. I will make reasonable steps to save the contents in case I cannot maintain the platform.
Yes. If there is a live class, every effort will be made to record it. Once record, they will be made be available for viewing later at your convenience.
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 pricing structure near top or 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 Bundle price (Launch special): US $14.99 (BTD 2,000)
Tier 2 Bundle price (December 2023): US $24.99 (BTD 3,000)
The basic Python course is free. Please sign up for free here https://www.dataskool.org/courses/python4ds
The rest of the courses in this bundle are not free. All these courses have quizzes and organized exercise problems for your practice. Making these quizzes takes time and effort. Also, I wish you would like to support this platform if you care about it.
Further, if you pay for something, you will have a commitment to learn it. This way, it is likely to help you actually put the effort to learn python.
If you do not want to pay a fee, there are a ton of materials available online for free. Please Google search and you will find them.
We may offer special discounts during festivals such as Eid and other holidays. It may go as low as middle of Tier 1 and Tier 2 levels.
Dr. Raheem has 20 years of analytic experience, 7+ years of which is in US healthcare system. He is currently a Principal Data Scientist
All foundational topics in Python 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
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If you have any question, please use the Contact link near the top of the page.