It is about to learn and to practice connect data from several sources and building Data Studio reports with diferents templates.

It is about to learn and to practice actionable analyses to track business performance and identify areas for business improvement.

Basic features of Google Analytics including how to create an account, implement tracking code, analyze basic reports, and set up goals and campaign tracking.

It is about advanced Google Analytics features including data collection, processing and configuration, and more complex analysis and marketing tools.

Basic features of Google Analytics including how to create an account, implement tracking code, analyze basic reports, and set up goals and campaign tracking.

iT is about the main components of an operating system and how to perform critical tasks like managing software and users, and configuring hardware.

This course is designed to provide a full overview of computer networking. We’ll cover everything from the fundamentals of modern networking technologies and protocols to an overview of the cloud to practical applications and network troubleshooting.

This course is the first of a series that aims to prepare you for a role as an entry-level IT Support Specialist. In this course, you’ll be introduced to the world of Information Technology, or IT. You’ll learn about the different facets of Information Technology, like computer hardware, the Internet, computer software, troubleshooting, and customer service. This course covers a wide variety of topics in IT that are designed to give you an overview of what’s to come in this certificate program.

The badge earner is able to write their own Python scripts and perform basic hands-on data analysis using IBM's Jupyter-based lab environment.

Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics.

Decentralized Finance: The Future of Finance is a set of four courses taught by Campbell R. Harvey (Professor of Finance at the Fuqua School of Business, Duke University, and a Research Associate of the National Bureau of Economic Research) that focus on decentralized finance (DeFi). It focus on the key infrastructure components: blockchain, cryptocurrency, smart contracts, oracles, stablecoins and decentralized applications (or dApps).

DeFi Primitives: transaction mechanics and introduce both fungible and non-fungible tokens – or NFTs. The course explores the important issue of custody (holding private keys). The course then explores supply adjustment which includes the minting and burning of tokens. The mechanics of bonding curves are introduced. The course then explores the role of direct as well as indirect incentives in the DeFi system.