Data Science is an interdisciplinary domain, which is an intersection of math, statistics, business understanding, business analytics, computer science, programming, machine learning, etc. But there is no pre-requisite to enter this domain. Even students from various engineering fields like electrical, civil, etc. arts, commerce, humanities are entering this domain and becoming successful. Data Science is all about data and the ways to solve specific problems by extracting meaningful information from datasets that are from multiple sources, that may be structured or unstructured.
If you don’t have the required soft-skills, you could develop problem-solving, good communication, etc. for a successful career in data science along with gaining fundamental knowledge in statistics, and math. And later on, developing an interest in programming languages like R, Python or JAVA will be a good idea to progress in your career. There are other sets of tools also required like data visualization tools, etc. but it depends on the profession in Data Science, the company you are working for, and a lot more factors. If you wish to get certified in Data Science, then have a look at the Data Scientist course from Intellipaat, as they offer the industry's best instructor-led courses along with dedicated time for project-work and exercises. Also, watch our YouTube video on Data Science courses from our specialists to get started.
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