There are tons of great resources all over the internet. I’ve bookmarked hundreds of URLs and this page is my categorized collection of the references and free tools I’ve found to be helpful. If you’re reading this and have something to add or find a dead link please shoot me a note. I’m continuing to add to this over time.
Business Intelligence | Career Management | Computer Science | Data Science | Datasets | Data Storage | Data Visualization | MarTech | Programming | Web Application Frameworks | Web Services | Website Tools
A nice intro guide on what these are and why they are used.
Transactional vs. Analytical Processing
Good cross-comparison between OLTP and OLAP systems.
3 Data Career Paths Decoded
Helpful article that compares and contrasts the role of a data analyst vs. data scientist vs. data engineer.
Google Cloud Certification - Data Engineer
A Google Certified Professional - Data Engineer enables data-driven decision making by collecting, transforming, and visualizing data. To earn this certification you must pass the in-person exam. This webpage offers a collection of useful training resources and reference materials aimed at achieving this certification.
Undoubtedly you’ve heard about the skills gap challenges in the U.S. economy. Using select data from LinkedIn and Strayer@Work’s proprietary analysis, the Strayer@Work Skills Index takes a look at supply vs. demand around specific skill sets across top industries and provides actionable recommendations for getting up to speed.
Big-O Notation Cheat Sheet
This webpage covers the space and time Big-O complexities of common algorithms used in Computer Science.
Beginner’s Guide to Big Data Terminology
Walkthrough on some of the common lingo of data science, such as DaaS and Neural Networking.
Best Practices for ML Engineering
This guide is intended to help those with a basic knowledge of machine learning get the benefit of best practices in machine learning. If you have taken a class in machine learning, built, or worked on a machine-learned model, then you have the necessary background to read this document.
Data Mining in Python: A Guide
Data mining is the process of discovering predictive information from the analysis of large databases. This guide provides an example-filled introduction to data mining using Python, one of the most widely used data mining tools - from cleaning and data organization to applying machine learning algorithms.
Handy Python Libraries for Formatting and Cleaning Data
Data scientists spend a lot of time cleaning messy data. This is a list of Python libraries that help make data more orderly and legible - from styling DataFrames to anonymizing datasets.
Offers a means of learning data science through both public and private competitions.
This website looks like its design hasn’t changed since the 90s, but it is home to lots of great content on business analytics, big data, data mining, and data science.
R or Python for Data Science?
This is a nice blog post on opendatascience.com that digs into the differences/advantages of using either R or Python for performing data science tasks.
Regular expressions are extremely useful in extracting information from text such as code, log files, spreadsheets, or even documents. This site offers an interactive tutorial and practice exercises to help you learn them.
Open source R packages that allow access to data repositories and provide programmatic access to a variety of scientific data and other real-time metrics of scholarly impact.
This site aggregates information around upcoming data-related Meetups and also gives users the ability to browse for slides, code, and video from Meetup tech groups around the world.
Crowdflower: Data for Everyone
Collection of free, downloadable, and categorized datasets that have gone through the Crowdflower platform.
Data.World: The Social Network for Data People
Discover and share cool data, connect with interesting people, and work together to solve problems faster. Users can find and use a vast array of high-quality open data.
Google’s My Activity Page
This portal reveals everything Google knows about you - every search you’ve made, the apps you’ve used, the videos you’ve watched, and everything in between. Visit to see how your data is being collected, modify activity settings, and delete data that you prefer not retained.
7 Steps to Understanding NoSQL Databases
The term NoSQL has come to be synonymous with schema-less, non-relational data storage schemes. NoSQL is an umbrella term, one which encompasses a number of different technologies. This article provides newcomers an overview of NoSQL technologies and architectures it includes.
What Is ETL?
ETL is shorthand for the extraction, transformation, and loading process used in most data movement operations. This article provides a nice overview for those wanting to understand the basics around these phases.
Google Data Studio
Free product lets you connect to all your marketing data and turn that data into beautiful, informative reports that are easy to understand, share, and fully customizable.
Google Analytics Demo Account
If you’re like me, you learn by doing. This fully functional Google Analytics account is a great way to look at real business data and experiment with Google Analytics features. The data is from the Google Merchandise Store, a real ecommerce store, and it’s typical of what you would see for an ecommerce website.
The Definitive Glossary of Programmatic Advertising
Programmatic advertising is about using automated systems (technology) and data to make media buying decisions without humans. This is a helpful glossary of terms associated with this concept.
Real Story Group
This firm specializes in evaluating vendors in the MarTech space to help you find the right provider among a glut of offerings.
A curated collection of tutorials and free learning resources for learning to code in new languages.
Free site lets you share your code with others in CodeEnv online environments. Good for teaching, prototyping, and sharing fiddles.
CodeProject: Diving in OOP
Comprehensive article that covers almost every OOP (object-oriented programming) concept in detail with C# examples.
Offers sandbox environments for developers to play around with and modify live sample code for all kinds of languages. It’s also easy to share or demonstrate solutions to problems.
A huge selection of cheat sheets for almost any current programming language and other technologies.
Web Application Frameworks
Python Web Frameworks
This report surveys 30 Python web frameworks that have more than 1,000 monthly downloads and provides a deeper look into six of the most widely used. Also provides general overview of web application frameworks and what they do.
Google Analytics Query Explorer
This tool lets you play with the Core Reporting API by building queries to get data from your Google Analytics views (profiles). You can use these queries with any of the client libraries to build your own tools.
API for accessing current weather data for any location including over 200,000 cities.
This free Chrome extension allows developers to explore, test, and build APIs using a powerful collaborative testing and development suite.
Technical documentation for RESTful web services with references and language-specific examples.
What is a REST API?
Thorough overview on what REST APIs are and how to use them.
Google Design: Resizer
An interactive viewer to see and test how digital products respond to material design breakpoints across desktop, mobile, and tablet.
How To Use GitHub Pages To Make Websites
Step-by-step tutorial to getting started with building a website hosted on Github Pages.
Mobile Website Speed Testing Tool
Another great Google product. Find out how well your site works across mobile and desktop devices by simply entering the URL.
Static Site Generators
A leaderboard of the top open-source static site generators based on Github stars.
Free online tool that grades any website against key metrics such as performance, mobile readiness, SEO, and security.
Who Is Hosting This
Allows a user to simply enter the domain name of any site and instantly uncover the identity of the company that is hosting the site.