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Module 1: Why Statistics?
7 Lessons -
Module 2: Getting Data
14 Lessons-
StartModule 2 Slides
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Start1. Learning objective
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Start2. Example of environmental impact assessment
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Start3. Statistical studies: Observational and Experimental
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Start4. Observational study
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Start5. Experimental study
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Start6. Cohort study
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Start7. Institutional data and retrospective cohort study
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Start8. Cross-sectional study
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Start9. Ecological study
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Start10. Summary: Statistical studies
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Start11. Data collection: population and sample
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Start12. Review of key concepts in data collection
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StartQuiz (Module 2)
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Module 3: Describing Data Distribution: Graphical Methods
8 Lessons-
StartModule 3 Google Colab Notebook
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Start1. Module objective and motivation
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Start2. Three things to consider for a graphical summary
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Start3. Choosing appropriate graphical display
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Start4. Displaying categorical data - bar plot
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Start5. Displaying categorical data- comparative bar plot
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Start6. Solutions: Tech layoff data
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StartQuiz: Did you notice the difference in two barplots?
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Module 4: Describing Data Distribution - Numerical Methods
1 Lesson-
StartChoosing appropriate numerical methods
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Getting totally lost with Hypothesis testing
5 Lessons -
Next Course --> Machine Learning
1 Lesson-
StartOnce you're done here, move on to Machine Learning 360 course
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This course is not open for enrollment
Statistics with Python (In Progress)
Discover applied statistics like never before
This course is part of a bundle. Please visit the link below for registration and to learn more
https://www.dataskool.org/courses/pystats
Course at a Glance
- Learn statistics hands-on with examples 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
Course Curriculum
About the Instructor
Enayetur Raheem, Ph.D.
is an accomplished data scientist with over 20 years of analytic experience in academia and industry combined
He has taught graduate level statistics courses at Dhaka University and several universities in the US prior to transitioning to industry
Currently he is a Principal Data Scientist at an AI startup in healthcare domain in US
He is a lifelong learner and passionate about teaching online
He is the founder and principal instructor at dataskool.org
Testimonials from Students
The course materials are very helpful and well organized. I have learned a lot about statistical analysis with R for research purposes. It is very effective for those who want to learn statistical analysis with R in the Bengali language like me.
-- Student from Statistical Analysis with R for Reproducible Research course
