Ultimate Roadmap to Becoming a Tech Professional with Harvard for Free

Free Harvard Courses
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If you’re part of the KDnuggets community, it means you’re already part of data science, machine learning, and artificial intelligence, or you’re looking into it. This community and sector are growing rapidly, and if you’re somebody looking to get into this world, I will tell you to do it, do it and do it again!

However, just like you, when I started I didn’t know where to start. I was pretty much watching every YouTube video I could that gave good advice, read blog after blog and scanned through course reviews like no man's business.

As I know how it feels to be in this situation, I have dedicated the majority of my blogs to helping those in need of career guidance, from free courses, paid courses, interview prep, etc.

In this particular edition, I will provide you with a roadmap that will give you the foundation and allow you to move into expert fields with a roadmap of Harvard courses.

& the amazing thing is they’re free!

Introductory Courses

Baby steps are what’s going to get you running like an athlete. When it comes to your career, especially when you are transitioning – you want to start with all the introductory courses the world has to offer.

Here is a list of free Harvard introductory courses:

  • CS50's Introduction to Computer Science
  • CS50's Introduction to Programming with Python
  • CS50's Introduction to Artificial Intelligence with Python
  • Introduction to Data Science with Python
  • CS50's Introduction to Programming with Scratch
  • CS50's Introduction to Databases with SQL

Specialised Tech Courses

  • CS50's Web Programming with Python and JavaScript
  • Data Science: Machine Learning
  • Data Science: R Basics
  • Machine Learning and AI with Python
  • Statistics and R
  • Data Science: Visualization
  • Data Science: Inference and Modeling
  • Using Python for Research
  • CS50's Computer Science for Business Professionals

Soft Skill Courses

  • Remote Work Revolution for Everyone
  • Building Personal Resilience: Managing Anxiety and Mental Health
  • Rhetoric: The Art of Persuasive Writing and Public Speaking
  • Exercising Leadership: Foundational Principles
  • Leaders of Learning

Wrapping Up

Building your foundation to the point it is rock-hard and solid is the best thing you can do for your career. I’m not saying that you have to take every one of these courses, but on the learning path, there are never really any limitations.

Soak up all the knowledge you can and then decide where you would like to further refine your career with specialised courses.

Nisha Arya is a data scientist, freelance technical writer, and an editor and community manager for KDnuggets. She is particularly interested in providing data science career advice or tutorials and theory-based knowledge around data science. Nisha covers a wide range of topics and wishes to explore the different ways artificial intelligence can benefit the longevity of human life. A keen learner, Nisha seeks to broaden her tech knowledge and writing skills, while helping guide others.

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