[$9.99 Sale] Statistics Using Python - New Course

Jan 15, 2021 9:20 pm

Hey,

We are pleased to announce our latest course Statistics for Data Analysis Using Python.

For the next three days, this course will be on sale for the lowest price permitted by Udemy.

If you wanted to learn Python and Statistics then this course is for you.

You are not expected to have any prior knowledge of Python. I will start with the basics. Coding exercises are provided to test your learnings.

The course not only explains, how to conduct statistical tests using Python but also explains in detail, how to perform these using a calculator (as if, it was the 1960s). This will help you in gaining the real intuition behind these tests.

Click here for the discount.



Learn statistics, and apply these concepts in your workplace using Python.

The course will teach you the basic concepts related to Statistics and Data Analysis, and help you in applying these concepts. Various examples and data-sets are used to explain the application.

I will explain the basic theory first, and then I will show you how to use Python to perform these calculations.

The following areas of statistics are covered:

Descriptive Statistics - Mean, Mode, Median, Quartile, Range, Inter Quartile Range, Standard Deviation.

Data Visualization - Commonly used plots such as Histogram, Box and Whisker Plot and Scatter Plot, using the Matplotlib.pyplot and Seaborn libraries.

Probability - Basic Concepts, Permutations, Combinations

Population and Sampling - Basic concepts

Probability Distributions - Normal, Binomial and Poisson Distributions

Hypothesis Testing - One Sample and Two Samples - z Test, t-Test, F Test and Chi-Square Test

ANOVA - Perform Analysis of Variance (ANOVA) step by step doing the manual calculation and by using Python.

The Goodness of Fit and the Contingency Tables.

Use the below link to get the best possible discount for the next two days.


Buy Now!


https://www.udemy.com/course/statistics-with-python/?couponCode=JAN-2021-1



Regards,

Sandeep Kumar and Abhin Chhabra


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