Data, AI, and Cloud Courses

Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

Analyze text data in R using the tidy framework.

Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

In this course, youll learn the basics of relational databases and how to interact with them.

This course will show you how to integrate spatial data into your Python Data Science workflow.

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

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

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

Learn how to segment customers in Python.

Learn how to identify, analyze, remove and impute missing data in Python.

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

This course will show you how to combine and merge datasets with data.table.

Learn how to load, transform, and transcribe speech from raw audio files in Python.

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.