How to begin your career in Data Science !

To embark on a career in Data Science, it's essential to understand why this field is in high demand. With the growing need for data-driven decision making in organizations, Data Science has emerged as one of the fastest growing fields in the world. Skilled Data Scientists/Analysts are sought after by companies of all sizes, including entrepreneurs, to analyse their critical business data, gain valuable insights, and stay ahead of their competition. The adoption rate of Data Scientists in enterprises has increased from 17% to 59%, and the demand for these professionals has also escalated from 15% to 28% annually, leading to over 364,000 new job openings worldwide

Data Science is essentially about finding patterns or structures in large datasets, transforming them into valuable insights, and creating visualizations with charts, graphs, or non-charts. To qualify as a Data Scientist, you need to acquire the following key skills:

1. Programming Language: You can choose between two of the most popular languages for Data Science - Python and R. Python is preferred over R because of its extensive libraries, ease of use, simple syntax, scalability, portability, support for fast project execution, and its status as the most preferred Machine Learning tool.
2. Basic Maths and Statistics: To perform quick and easy math and generate results using statistical methods is a core concept that a Data Scientist must have.
   
3. Machine Learning Algorithms: Data Science is not just about programming or coding; Machine Learning is another skill that you need to excel in. ML is an application of Artificial Intelligence that makes itself a core part of Data Science with its predictive analysis and computer algorithms.