The need for a skilled Data Scientist have increased over the few years. So our market needs a Data Scientist Professional who has combined skills. A Data Scientist is always inquisitive about the data and the facts. He studies the available facts and data. He also works closely with various departments , hence to study the trends in cross cultural environment. Now lets understand the skills to become an effective data scientist professional.He has a good knowledge of open source collection tools like C++, Java, Python, ECL and Hadoop.
A Data Scientist has a good knowledge of databases. Next skill expected from him is the knowledge of mathematics, statistics , machine learning and algorithms. Hence he needs to be diversified in technologies. As we already saw that he needs to wear multiple hats . He has to communicate with various departments to collect information and requirements. Hence Business Skills are important to understand the requirements, application requirements and data from various teams. The key skill is converting the requirements to real products for the customers. Hence he should apply his coding skills with visualization of data. A Data Scientist must be creative and try to innovate the product. He must have good business analysis skills to ensure that the data collected is effective in predicting the trends. Problem solving approach and conflict resolution is an effective skill of a Data Scientist Professional. He tries to understand the underlying reason for the problem and tries to find an effective solution for the same. This can be achieved through effective Business Analysis. To be an effective leader the he must have good communication skills.
At ZaranTech we offer Business Analysis course to develop analytical skills. The course has live video sessions, assignments, cases and quizzes . The intensive training program at ZaranTech helps to learn the core concepts of Business Analysis. For more information on the course offering please visit our website http://www.zarantech.com/course-list/ba/business-analyst/ .Call 515-978-9777 or email email@example.com