A Data Science Career is a highly sought-after field that requires a specific skill set. However, due to the relatively new nature of the industry, there are not many people who meet the qualifications required for a job in Data Science, especially those from non-Computer Science backgrounds. This article provides guidance for individuals who want to transition into Data Science from various backgrounds.
Data Science career
The article is divided into three stages, with each stage addressing a different group of people
For someone who has never touched any subject closely related to Data Science in college.
For someone from a non-CS background but with a couple of relevant subjects relating to Data Science & who wants to be a Data Scientist why not?
For someone who has been working in an industry for a long time but now wants to switch to the fascinating and daunting world of Data Science.
Data Science career
Let’s get right into it.
Stage I: Individuals with no experience in Data Science but want to get into it. The article advises such individuals to start with the basics, such as learning Excel, SQL, Tableau, and Python, and then move on to more advanced topics, including statistics, data cleaning, and data visualization.
Stage II: Individuals who have some experience in Data Science but are not experts. In this stage, the article recommends focusing on one particular aspect of Data Science and learning it in-depth. For example, if someone is interested in Machine Learning, they should focus on understanding Python libraries such as NumPy, Pandas, Scikit Learn, SciPy, Matplotlib, and Seaborn.
Stage III: Professionals who are already experts in their fields but want to transition into Data Science. The article recommends finding a niche within Data Science and becoming an expert in that area.
Overall, the article encourages individuals from all backgrounds to pursue a career in Data Science, emphasizing that it is never too late to start learning and that with time and patience, anyone can become an expert in this exciting and rapidly growing field.
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