Download Introduction to Statistics with Python

What you would learn in Introduction to Statistics with Python course?

This course offers a fundamental introduction to statistics and the application of Python, a prevalent programming language. In the course, we explore the most fundamental concepts in statistics in the context of analysis within Jupyter Notebook, a commonly used integrated development environment for Python. Topics covered include both descriptive and inferential statistics. Concepts associated with the visualization of data will also be covered to help you to become an analyst. The concepts discussed are mean, median, mode, standard deviation, and histograms. They also discuss confidence intervals, t-tests, regression, correlation, ANOVA, chi-square, and many more. These concepts can be learned in the privacy of your home and without needing to attend class. You can also take quizzes to evaluate your progress with the genuine Python utilized in the tutorials.

Students and people who wish to learn about statistical analysis while also understanding the primary instruments used in data science This course is perfect for you. Due to the increasing demand for quantitative abilities with the increasing use of Big Data, mastery of analytical tools and statistics like Jupyter Notebook is becoming common.

Join us and become a member of our analytics journey by enrolling in a class that will prepare you for the needs of the 20th century's mid-century.

Who should this course be intended for:

Beginning Python users
Data science enthusiasts
Students interested in learning about statistics

Course Content:

Basic analysis of statistics
How to use the Jupyter Notebook
The foundation in the Python language used for statistical analysis.
Data visualization