Hey,

▶ Minitab is costly software. Are you looking for a FREE alternative? Use Python 🐍.

▶ Yes, you can learn Python for Data Analysis. It is NOT difficult!

Statistics for Data Analysis Using Python {The Highest Rated Course}

For the next 24 hours, we are putting this course on sale for the lowest price permitted by Udemy.

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

▶ No need to buy expensive software. Python is for FREE.

▶ You are not expected to have any prior knowledge of Python.

▶ 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.

This 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 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 24 hours.

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

Regards,

Sandeep Kumar and Abhin Chhabra