In this course you'll learn techniques for performing statistical inference on numerical data.

Learn the bag of words technique for text mining with R.

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Learn how to build your very own dashboard by applying all the SQL concepts and functions you have learned in previous courses.

In this course you'll learn the basics of working with time series data.

Explore ways to work with date and time data in SQL Server for time series analysis

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

Take your Tableau skills up a notch with advanced analytics and visualizations.

Learn the fundamentals of working with big data with PySpark.

Discover how Marketing Analysts use data to understand customers and drive business growth.

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

In this course you will learn the details of linear classifiers like logistic regression and SVM.