Course catalog

Cybersecurity for IT Professionals

Protect your networks from cyberattacks. Learn how to implement antivirus protection and firewalls and scan for suspicious activity.

Cybersecurity for Small and Medium Businesses: Essential Training

Learn how to protect your small or medium business from cybersecurity threats.

Cybersecurity Foundations

Set a rock-solid foundation for your network, users, and data by learning the basics of cybersecurity. Explore key frameworks, threats, and strategies for responding to incidents.

Cybersecurity with Cloud Computing

Discover how to use cybersecurity to mitigate your cloud computing risk. Learn how to secure cloud services such as Amazon Web Services, Google Apps, and Azure.

CySA+ (CS0-002) Cert Prep 1: Threat Management

Prepare to take and pass the CompTIA Cybersecurity Analyst (CySA+) exam. This course can prepare you for the Threat and Vulnerability Management domain of exam CS0-002.

CySA+ (CS0-002) Cert Prep: 4 Software and Systems Security

Review essential software and systems security concepts and best practices as you prepare for the CySA+ (CS0-002) exam. Learn about software testing, encryption, and more.

Data Analytics for Business Professionals

Learn how to use data analytics to make better business decisions and gain competitive advantage. This fast-paced introduction is ideal for managers and executives.

Data Analytics for Students

Analytics is such a broad topic that it's hard to know where to get started. In this course designed for students, explore how to use data analytics to make informed decisions.

Data Curation Foundations

Add data curation to your data science tool kit. Learn how to develop curation files to document information about datasets and related business processes.

Data Fluency: Exploring and Describing Data

Learn how anyone, in any industry, can speak the language of data analysis. Find out how to prepare data, explore it visually, and describe it using statistical methods.

Data Ingestion with Python

Learn how to use Python tools and techniques to solve one of the main challenges data scientists face: getting good data to train their algorithms.

Data Rights Foundations

Learn what rights you have to your own data—and what responsibilities businesses and institutions have to protect and respect those rights.

Data Science & Analytics Career Paths & Certifications: First Steps

Learn about the jobs and most valuable certifications available in big data, data analytics, and data science.

Data Science Foundations: Choosing the Right Database

Discover how to select the right database for your data science project. Learn about the strengths and weaknesses of different database technologies and review specific use cases.

Data Science Foundations: Data Assessment for Predictive Modeling

Explore the data understanding phase of the CRISP-DM methodology for predictive modeling. Find out how to collect, describe, explore, and verify data.

Data Science Foundations: Data Engineering

Discover the basics of big data with a data science expert. Learn about how to perform core data engineering tasks including staging, profiling, cleansing, and migrating data.

Data Science Foundations: Fundamentals

Get a basic introduction to the careers, tools, and techniques of modern data science.

Data Science Foundations: Python Scientific Stack

Learn how to use the Python scientific stack to complete data science tasks. Find out how to work with pandas for data crunching, NumPy for numeric computation, and more.

Data Science on Google Cloud Platform: Architecting Solutions

Learn how to architect data science solutions at scale using the capabilities provided by Google Cloud Platform (GCP).

Data Science on Google Cloud Platform: Building Data Pipelines

Learn how to design and build big data pipelines on Google Cloud Platform.

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