During 2021 I invested much effort toward self-guided learning. Propelled by objectives to explore new career avenues and free time the COVID pandemic provided, I sought to enhance my skills in programming, data science methods and technologies and marketing techniques. As I proceeded in discovering affordable resources and compiling these into a custom curriculum, I often found my time working through these materials to be a high point of my day, even forgoing evenings of Netflix to complete tutorials well into late night hours.
By the end of the year, the set of courses I’d completed was quite extensive and I found it enlightening to chronicle my learning journey into the following list, organized by topic and inclusive of links to the source materials. I encourage you to review the course pages and share your feedback on resources you’ve found helpful in your own learning!
Principles of Programming and Computer Science
Prior to delving into any specific platform or coding language, it can be helpful to gain an understanding of the underlying logic powering each of these tools. Technical and non-technical users alike can benefit from developing an intuition of how technologies they interact with daily function and operate, and these are some great primers with which to start:
- Learn What to Learn, Codecademy
- Learn How to Code, Codecademy
- Understand the Basics of Code, Google Digital Garage
Principles of Data Science and Analytics
I wrote in a previous post about these courses offering a conceptual overview into data science and analytics, available here. The materials will be valuable to anyone seeking insight from the expanding network of data points intersecting all components of our lives:
- Intro to Data Analytics, General Assembly
- Data Science for Everyone, DataCamp
- Data Analytics Basics for Everyone, edX
Python for Data Science and Analytics
In July I completed a course in Python for Data Analytics as part of the Southern Connecticut State University BioPath Bootcamp Series. The course was offered free and open to all through a joint initiative of Southern Connecticut State University, New Haven Innovation Collaborative and CTNext. I highly recommend following universities and nonprofits within your community for offerings like these which are cost-effective and provide opportunities to build connections within fields of interest. The bootcamp’s synchronous learning environment provided the support necessary to overcome preliminary obstacles in my independent learning, enabling me to move forward with more advanced courses like those in Dataquest’s Python Basics for Data Analysis series.
Marketing and Web Analytics
Grow with Google and Content Marketing Programs, TechFWD Digital Skills Navigator, Stamford Partnership
Like Python for Data Analytics, I found both TechFWD offerings through a community development organization, writing about my experience with the Content Marketing program in this previous post. The Grow with Google series provided a helpful complementary perspective, particularly where the courses’ materials aligned with a focus on search engine optimization and organizing online content for prime traffic and visibility.
Publisher’s M.O. Masterclass, Publio
I was offered the chance to pilot this course developed by a local marketing agency I connected with through the TechFWD Content Marketing program (whose curriculum they also facilitated). Their masterclass builds upon that curriculum (available free via HubSpot and SEMRush academies), introducing their signature “North Star” methodology and providing templates for applying concepts from both courses toward participants’ own unique business objectives. It was great having the opportunity to navigate the course in its development stages and provide direct feedback to be incorporated into its subsequent iterations.