Statistics Fundamentals and Python Introduction
Brush up Statistics and Modeling techniques.
This is a very comprehensive course which focuses not only on the basics of Statistics and Hypothesis Testing but also introduces us to the software R. It then takes us into the details of functioning of the software. You shall learn writing functions, Hypothesis Testing, Logistic Regression, Time Series, Decision Trees, Random Forest and much more. Towards the end of the course you shall also be introduced to the tool- Python.
Your Instructor
Course Curriculum
Recommended Book for Statistics & Our Favorite Blog on Machine Learning
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after you enroll
Descriptive Statistics
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after you enroll
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PreviewReference Materials Used in This Section
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StartStats 1 Introduction to data (13:28)
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StartStats 2 Types of data (7:34)
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StartStats 3 Data Presentation (6:48)
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StartStats 4 Charts & Diagrams (13:11)
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StartStats 5 Correlation (10:20)
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StartStats 6 Data Modeling (5:12)
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StartStats 7 Index Number (5:37)
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StartQuiz - Descriptive Statistics
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StartExercise _ Descriptive Statistics
Measures of Central Tendency & Dispersion
Available in
days
days
after you enroll
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StartReference Materials Used in This Section
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StartStats 8 Measures of Central Tendency (11:10)
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StartStats 9 Measures of Central Dispersion (14:55)
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StartStats 10 Measures of Central Dispersion (Variance) (12:48)
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StartStats 11 Normal Distribution (14:17)
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StartQuiz - Measures of Central Tendency & Dispersion
Frequently Asked Questions
When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
After enrolling, you have unlimited access to this course for 6 months-across any and all devices you own.
What if I'm facing technical issues accessing the course lectures or reference documents?
We would never want you to be unhappy! If you are unsatisfied with your course, please let us know. We'll do our best to ensure that you get the best learning.