Top Skills To Become Successful Data Scientist
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Scroll through these slides to know about the key skills that you must definitely mention in your resume if you are applying for the role of Data Scientist
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Top Skills To Become Successful Data Scientist
- 1. rockInterview.in Top skills to become a successful Data Scientist
- 2. India has woken up to the call of advancing technology trends and stepped up in trending tech fields such as Artificial Intelligence, Machine Learning, Big Data Analytics and Data Science. Since Data Scientist is one of the hottest jobs of the century, it is important to master the right skills to grab that dream job. Scroll through these slides to know about the key skills that you must definitely mention in your resume if you are applying for the role of a Data Scientist! rockInterview.in
- 3. #1. It’s all about numbers Statistics and mathematics go hand in hand. In today’s time, when most companies are driven by data science, statistical skills are vital. You should be aware of statistical concepts and terminology and be good with calculations, which would require the basic knowledge of multivariable calculus or linear algebra. rockInterview.in
- 4. #2. Programming skills To land your dream job as a data scientist, you must possess exceptionally good coding skills to be able to write, analyse and understand a code at any given time. Exposure and excellency in various programming languages is vital. While Python is the most preferred and common language used by data scientists, many use R as well. More than 40 percent of data scientists are using R to solve statistical problems! rockInterview.in
- 5. #3. Competitive spirit A number of hackathons, competitions, and seminars are being conducted at regular intervals by many organisations. Taking part in these not only give you an immense opportunity to learn but also displays your competitive spirit. Adding the competitions you have taken part in, certainly increases the value of your resume. rockInterview.in
- 6. #4. Structuring the unstructured Unstructured data is referred to an the unspecified data which does not fit into database tables, for instance, videos, post, blogs, audios, customer reviews, etc. As a data scientist it is important to be able to study and categorise the unstructured data, and this is where you. Must emphasise on the knowledge of software like Apache Hadoop, Microsoft HDI insight, NoSQL, Polybase, etc. rockInterview.in
- 7. #5. Art of storytelling Every piece of data is a piece of a story waiting to be unravelled. Hence, as a data scientist you should be able to read and express the data in a way it can be understood by the organisation management. You must be able to visualise raw data with the help of data visualization tools like ggplot, d3.js, matplotlib and Tableau. rockInterview.in
- 8. #6. Academics matter Educational qualifications play an important role in becoming a data scientist. Organisations mostly prefer candidates with masters in fields of statistics, mathematics, computer science, and physical science. Organisations which are research-oriented and trying to develop advanced models in data science, PhDs in fields like applied mathematics, statistics, computer science, and Astro science are mostly preferred. rockInterview.in
- 10. rockInterview.in Get trained by real-time Data Science experts and grab that dream job! Download the app today!