Photo by the editor
The goals for 2024 continue and I hope that all those who have written down data science as one of their goals will come across 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 resources to go back to college or need more structure than YouTube can provide, I understand.
If you are a person who likes to experience your learning journey on one platform that follows a curriculum and is organized – keep reading this blog.
Here are 4 different learning plans for 4 different levels:
Beginner level
To combine: Introduction to the Data Science specialization
If you want to pursue a career in data analytics or want to transition from your current career into data science – the first thing you need to do is learn the basics of data analytics to understand what it’s all about.
You will be able to complete this course in 1 month if you devote 10 hours a week.
To combine: Fundamentals of data science with specialization in Python and SQL
Level: beginner/intermediate
When you feel that you have a very good understanding of what data analytics is, what it involves and where it can lead you. The next step will be to dive a little deeper into the basics of data science using Python and SQL.
To combine: IBM Data Science Professional certification
Level: Intermediate/Expert
You can now start your journey towards specialist certification in data analytics.
Courses include:
You will be able to complete this course in 5 months if you devote 10 hours a week.
To combine: Advanced data analytics with IBM specialization
Level: Expert
You’ve taken beginner courses, honed your Python and SQL skills, delved into data science with Python projects, data science, machine learning, and more. But you want a little more.
This advanced data science specialization course will make you an expert in data analytics, 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 over, I recommend taking them all so you can get everything under your belt.
You have a basic data science learning plan, all in one place – on one platform!
Nisha Arya is a data scientist, freelance technical writer, and editor and community manager of KDnuggets. She is particularly interested in providing career advice or tutorials in data analytics and theory-based knowledge in data analytics. Nisha covers a wide range of topics and wants to explore the different ways in which artificial intelligence can impact the longevity of human life. Nisha is an avid learner and strives to expand her technical knowledge and writing skills while helping others.