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Knowing what new skill you want to start in the new year can be difficult. There’s a lot to choose from. The main thing these days is that what you learn can be very transferable to other careers and other sectors.
This is why I have put together this blog so that you can look into courses that can offer lucrative careers. And the best thing is that they’re FREE!
Link: Programming Foundations
We all know how fast the tech world is moving, and with that being said more and more people are interested in being part of the journey. If you are one of these people, then start your journey by learning the foundations of programming.
Learn concepts such as functions, variables, strings, arrays and more.
Link: Data Structures and Algorithms
Interested in entering the world of data science? Kickstart your new journey with Google’s Data Structures and Algorithms 53 set of materials. You heard it, 53 FREE sets of materials!
So if you want to familiarise yourself with data structures and algorithms that you will need to know to kickstart a data science career – check this out!
Link: Data Analyst Learning Path
Want to take your data science/analyst career to the next level – you can do this with Google’s Data Analyst learning path.
In this learning path, you will learn about how data analysts gather and analyse data in order to identify trends and patterns that provide valuable insights to solve problems as well as provide informed business decisions. Learn about data cleansing, data visualisation and deep analysis.
Link: Google Analytics Certification
Really enjoying the data analytics pathway? The next step will be to get certified to put your skills to the test and also showcase people your skills.
In this course, you will learn to use Google Analytics 4 to gain valuable insights and make marketing decisions. This acts as a project in which you will create a website or an app, collect data for your business and define key features.
Link: Machine Learning Pathway
Interested in diving deeper into the data science world? How about machine learning?
Machine learning engineers are responsible for designing, building, optimising, operating and marinating machine learning systems. Seems like they have a lot of responsibility right? Machine learning engineers have been responsible for building some amazing tools.
In this learning pathway, you will have a curated collection of on-demand courses, labs, and skill badges that will provide you with real-world, hands-on experience. Once you have completed the pathway and feel like this is something you want to get into, you can continue your journey with the Google Cloud Machine Learning Engineer certification.
Link: AI for Everyone
AI is huge right now and I can imagine that those of you who have no idea about it would like to know a thing or two. As this course is for everyone, there are no prerequisites and you will surely learn about the ins and outs of AI.
Learn about how AI is being used in the real world and also a deeper understanding of neural networks and the different types of machine learning.
Link: Learn Web Development
Something a bit different from the traditional tech roles but is heavily demanded. Web design is very interesting and creative and for those who want to learn more about it – the team at Google Chrome have put together a growing collection of courses that have been curated by industry experts.
There are a variety of courses that you can take, such as HTML, performance, images, responsive design and more!
Link: Google Android Development
Learning the developer side of apps can be interesting to get into. With new tools being built in recent years, some of you may be interested in looking in becoming a developer. If that’s the case, Google takes beginners through a journey on how to build apps using the latest Modern Android Development practices.
A range of courses to help you kickstart a new career in 2024. Find out if you like it with these FREE learning materials! This could be the start of a new professional or personal journey. Happy Learning!
Nisha Arya is a Data Scientist and Freelance Technical Writer. She is particularly interested in providing Data Science career advice or tutorials and theory based knowledge around Data Science. She also wishes to explore the different ways Artificial Intelligence is/can benefit the longevity of human life. A keen learner, seeking to broaden her tech knowledge and writing skills, whilst helping guide others.
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