Free Data Resources
Whether you take a few minutes to learn a new skill or try on the title “data analyst” for size, you’ve come to the right place. Choose the learning material that’s best for you. We’ve made it free, forever.
Start a new career path as a data analyst, business analyst, or research analyst.
Drive the search and showcase the solution to your team, mastering the entire data analysis process.
Query with industry-essential programs, like SQL, python, tableau, and PowerBI.
Explore the methods and best practices as an entry level data analyst, including such topics as:
DATA CAREER MAPPING
These videos and guides explain the responsibilities, skills, and logistics of different data roles.
Learn about day to day responsibilities, average salaries of different data analytics roles, and how to prepare for a preliminary data analyst interview.
This article explores how to craft a compelling data analyst resume that succinctly communicates the highlights of your profile, with some sample data analyst resumes.
An exploration of how educational background, skills, specialization, location, and type of organization influence data engineering compensation.
Go beyond data visualization with these data science portfolio tips, and show hiring managers the best of your work, with portfolio examples.
Understand SQL in 15 minutes
Sign up for an email course. Read lesson 1. Start building queries.
FUNDAMENTAL DATA SKILLS
With free short courses and tool questions, learn to interrogate and manipulate data, master the most essential tools, and more.
Explore data manipulation, analysis of large datasets, the data analyst’s tech stack, and how to communicate your results with data visualization.
Five days of course beginner SQL material, written by a Senior Data Analyst walking through SQL anatomy and an example data analyst business case.
An extensive list of basic, intermediate, and advanced Excel interview questions and answers for data analysts to prepare you for your dream job.
Explainer course on what machine learning is, common ML techniques, and how to implement actual machine learning systems in Python via hands-on tutorials.
Showcase your skill’s practical application in data collection, cleaning, analysis, visualization, programming, machine learning, etc. with these project ideas.
INTRODUCTORY GUIDES
Don’t know where to start? No problem. Browse our guides for quick introductions to data topics.
“Data analysis” is an iterative process with many steps. This guide explores what to expect from each one, and the skills you will need to master each one.
This guide explores key differences between two prominent data professions — data scientist and data engineer — to help you make an informed career decision.
While there is no official standard defining when to use “data scientist” vs. “data analyst,” this article explores the nuances between the roles.
This guide walks through where to start on your data journey, the specific steps you need to take to mastery, and the relevant skills you should learn along the way.