This course demonstrates how Python and Matplotlib are used to work on different statistical distributions. Standard charts like histograms, boxplots, and violinplots are used to display statistical distributions.

Learn statistical methods and techniques for analyzing and interpreting data.

Boxplots are the most compact way to visually represent descriptive statistics about a variable. Learn how to make them in this course.

Learn how to work with bins and breaks to describe the distribution of a dataset.

Get started with the most popular summary statistics: mean, median, and mode.

Sometimes data needs to be described in terms of distributions, quartiles, quintiles, and IQR let you do just that.

Learn how to calculate, interpret, and report the variance and standard deviation

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

Leverage the power of Python and PuLP to optimize supply chains.

Enhance your Tableau proficiency. This course will teach you advanced data visualization and analysis techniques.

Sharing Tableau artifacts with stakeholders is a crucial skill. This course will teach you to share Tableau workbooks, datasets, and workflows internally. Discover scheduling data refreshes, setting up subscriptions, and automated KPI alerts.