{Early birds Sale - The lowest price in local currency for next 2 days}

Statistics for Data Analysis Using Python

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

▶ Python is the most widely used data analysis software.

▶ For this course, you are not expected to have any prior knowledge of Python.

I am sure you might have heard the term Quality 4.0. This is a part of Industry 4.0 or the fourth industrial revolution. This is the future of Quality.

Some important aspects of Quality 4.0 are the data, analysis, artificial intelligence and machine learning. One tool, that is the king in this area is Python. Learning this language opens multiple doors of opportunities. The good news is that it is not difficult to learn Python.

Our latest course Statistics for Data Analysis Using Python could be your first step towards learning and mastering Python.

For the next two days, 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.

▶ 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.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 three days.

https://www.udemy.com/course/statistics-with-python/?couponCode=JAN-2021-3

Regards,

Sandeep Kumar and Abhin Chhabra

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