Udemy – Statistics with python

What you'll learn
Introduction to Data and Programming Environments
Descriptive Statistics
Probability and Probability Distributions
Sampling and Estimation
Hypothesis Testing Fundamentals
Comparing Groups
Categorical Data Analysis
Correlation and Regression
Requirements
Math
Pc use
Description
Welcome to "Statistics with R and Python," your gateway to mastering the art and science of data analysis with Ai Tools Engeneering- In today's data-driven world, the ability to extract meaningful insights is crucial, and this course provides you with the skills to do so, leveraging two of the most powerful tools in a data professional's arsenal: R and Python. This course is meticulously designed for hands-on learning. You'll begin by building a solid foundation in descriptive statistics and data visualization, transforming raw data into compelling narratives using libraries like ggplot2, Matplotlib, and Seaborn. We then delve into inferential statistics, guiding you through the principles of probability, hypothesis testing, and confidence intervals, enabling you to draw valid conclusions from your data. A significant portion of the course is dedicated to regression analysis, where you'll learn to build and interpret linear and logistic models for forecasting and understanding relationships. Through hands-on exercises and real-world case studies, you'll gain expertise in data cleaning, manipulation, and analysis workflows. By the end of this journey, you'll not only understand statistical concepts but also possess the practical coding skills in both R and Python to effectively apply them across various domains. Join us to transform data into actionable insights! Use data with AI apps to build reliable statistical predictions and get closer to the world of machine learning."This course contains the use of artificial intelligence."
Who this course is for
Engeneering
Math
Homepage

https://www.udemy.com/course/statistics-with-python-r/

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