But, What is Data Science?

Before we go into specifics, let's answer a fundamental question: What is data science? At its foundation, data science is the art of deriving valuable insights and knowledge from data. It integrates tools from statistics, computer science, and domain expertise to analyze, understand, and deliver data-driven solutions to real-world problems.

Why Data science?

Data is everything and everything is data. Starting from a simple email address to you IP address; it's the new tech goldmine. Data science involves processes that help us understand why certain events occur, analyze patterns and make predictions.
Every new up and coming tech i.e. Artificial Intelligence, Machine Learning etc. depends on data. So venturing into data science will give insights when making data driven decisions in the increasingly data driven world

Finally, the Road Map!

This beginner's roadmap will lead you through the essentials of data science in 2023 and help you prepare for what's coming in 2024, whether you're a recent graduate, a career changer, or just someone inquisitive about this intriguing topic.
1. Start with the Basics
Begin by establishing the groundwork in mathematics, statistics, and programming. Understanding fundamental concepts is essential when learning advanced data science ideas.
2. Learn Programming
Learn a programming language that is often used in data science, such as Python or R. The aforementioned programming languages are adaptable, with large libraries for data manipulation and analysis.
3. Online Courses and Tutorials
Consider online education portals such as Coursera, edX, Udemy, and Khan Academy. These platforms provide courses spanning from basic to advanced levels, which are frequently taught by subject matter experts.
4. Hands-On projects
Practical experience is essential. Begin with simple personal projects and work your way up to more complicated analyses. Kaggle is a great resource to find datasets and compete in data science competitions.
5. Online Communities
Interact with data science communities on sites such as Reddit, Stack Overflow, and LinkedIn. Involvement in these communities can assist you in finding answers to your queries and connecting with other learners and experts.
6. Build a Portfolio
Make a portfolio of your projects and publish it on sites like GitHub. This allows potential employers and collaborators to see your skills.
7. Practice and Patience
Setbacks should not dissuade you from pursuing a career in data science. Practice on a regular basis and be kind with yourself. Learning takes time, but perseverance is rewarded.
8. Set Goals
Set specific, attainable goals for your data science journey. Having goals, whether it's finding a job, fixing a specific problem, or perfecting a specific ability, will keep you motivated.

Starting your data science journey in 2023 provides tremendous potential. By following this roadmap, you may lay a solid foundation in data science basics and adapt to the developing data landscape in 2024. Remember that curiosity and consistent learning are your biggest allies in this constantly evolving sector. So, start coding, exploring data, and drawing useful conclusions from day one!