I started my Data Science career back in 2018 and spent countless hours practicing it.

Here is the ultimate roadmap to become a data scientist.

(A thread) 🧵👇

1. Start with the foundations: Focus on these areas in the given order 👇

- Programming (Choose Python or R)
- Linear Algebra
- Calculus
- Probability
- Statistics
- Machine Learning

2. Practical coding: Utilize libraries that provide functions and methods to perform data science tasks efficiently. In Python, the starter kit includes:

- Numpy
- Pandas
- Scipy
- Matplotlib
- Scikit-learn

3. Gamified Courses: Learning about Data Science can be overwhelming at first. But gamified courses make learning fun & engaging!

@brilliantorg Data Science course is a perfect example of how you can seamlessly learn complex concepts. Exclusive offer in the final tweet!

@brilliantorg 4. Dive into real projects: Practice is what makes perfect. Dive into platforms like Kaggle and embrace the opportunities they offer.

@brilliantorg 5. Embrace the data community: Join online communities, forums, and social media groups focused on data science.

Engage with fellow learners and professionals, share insights, ask questions, and stay updated on the latest trends and tools in the field.

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