Certifications Guide

This beginner level course serves as an introduction to sampling and exploring data, basic probability theory, and Bayes rule. Explore various types of sampling methods and learn exploratory data analysis techniques such as numeric summary statistics and basic data visualization. In addition, you will also learn to use R and RStudio for lab exercises and a final project.

The second in Alteryx's Certification Program, this program covers higher-level analysis skills such as analytic apps, macros, reporting, data investigation, and more. To become certified, students need to pass an exam.

Learn how to use relational databases in business analysis with this introductory course. You will learn how relational databases work, how to use entity-relationship diagrams, and understand how to collect data in different business contexts. This course will ultimately equip you with the skills you need to properly collect data and gain insights into the best ways to improve business performance, as well provide you with hands on practice with real databases and a portfolio you can show future employers.

Learn to analyze data and build models using Python tools like pandas, Matplotlib, and scikit-learn, with hands-on projects.

Move beyond the basic of programming in Python and explore the built-in core data structures such as lists, dictionaries and tuples for data analysis. This is the follow up course to Programming for Everybody.

Learn how to harness data to drive success with this introduction to data visualization. The course will first ask you to consider what data is and what questions can be answered using data, and then moves into how to develop a research question describe variables and relationships between variables, basic statistics, and how to present results. Lastly you will learn how to use SAS or Python to manage and visualize your data.

This intensive certification program covers how create data visualizations in D3, the JSON APIs and Ajax challenges, and data visualization projects to help you practice your skills.

Explore how to use Python for statistics and learn about study design, data management, and data visualization. In this course you will learn to determine different types of data, how to visualize, analyze and interpret summaries for univariate and multivariate data, and probability and non-probability sampling. Apply what you learn in Python each week in hands-on, lab-based sessions.

A beginner-friendly program by Google covering data cleaning, analysis, and visualization using spreadsheets, SQL, R, and Tableau. Includes hands-on projects and a shareable certificate, preparing learners for entry-level data analyst roles.

Advance your Python skills and learn to apply them to data analysis. In this course you will learn how to install external packages for Python, acquire data sources, and clean, process, analyze, and visualize data.