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The goals for 2024 continue and I hope that everyone who wrote learning data science as one of their goals finds this article. You can learn data science in many different ways, from YouTube videos to going back to university.
However, if you don't have the financial means to go back to school or need more structure than YouTube can provide, I understand.
If you are someone who likes to experience your learning journey on a platform, follows a curriculum and is organized, continue reading this blog.
Here are 4 different learning roadmaps, for 4 different levels:
Level: beginner
Link: Introduction to Data Science Specialization
If you are looking to start a career in data science or want to transition your current career into data science, the first thing you should do is look at the fundamentals of data science to understand what it is all about.
With this, you will develop the mindset to work as a data scientist and understand the different methodologies you can use to tackle different types of data science problems, with a series of 4 courses:
You will be able to complete this course in 1 month if you dedicate 10 hours a week.
Link: Data Science Fundamentals with a Specialization in Python and SQL
Level: Beginner/Intermediate
When you feel like you have a good understanding of what data science is, what it entails, and where it can take you. The next step is to delve a little deeper into the fundamentals of data science with Python and SQL.
In this specialized series of 5 courses, you will learn and develop hands-on experience with Jupyter, Python, and SQL, as well as perform statistical analysis on real data sets:
Link: IBM Data Science Professional Certificate
Level: Intermediate/Expert
You are now ready to begin your journey towards professional data science certification.
A series of 10 courses in which you will prepare for a career as a data scientist by developing in-demand skills and practical experience, such as applying your new skills to real-world projects to prepare you for work.
Courses include:
You will be able to complete this course in 5 months if you dedicate 10 hours a week.
Link: Advanced Data Science with IBM Specialization
Expert level
You've completed beginner courses, honed your skills in Python and SQL, delved into data science with Python projects, data analytics, machine learning, and more. But you want a little more.
This advanced data science specialization course will make you an expert in data science, machine learning, and artificial intelligence. It consists of four courses:
Become an IBM Approved Expert!
And that's it: 4 different data science learning paths for 4 different levels. If you're starting from the beginning, I would recommend taking them all so you can have everything under your belt.
You have a simple roadmap for learning data science, all in one place – on one platform!
nisha arya is a data scientist, freelance technical writer, and KDnuggets editor and community manager. She is particularly interested in providing professional data science advice or tutorials and theory-based insights into data science. Nisha covers a wide range of topics and wants to explore the different ways in which artificial intelligence can benefit the longevity of human life. Nisha, a great student, seeks to expand her technological knowledge and her writing skills, while she helps mentor others.
