Why Should You Study Data Science? | UPDATED!

by Satefa f. Ncious - Get Everything You Need to Know

About a decade or two ago and earlier, the rate of data generation was low, and most data was structured and could be easily analyzed using simple tools such as BI. But in today’s world, when the amount of data not only doubles every two years but is largely unstructured and semi-structured, the industry has felt the need for more sophisticated tools and specialists, i.e. data scientists, to do the job. You can also read the difference between data science vs data engineering here https://geniusee.com/single-blog/data-science-vs-data-engineering-job-roles-skills-and-salary.

Who is a Data Scientist?

A data scientist is an expert who has the ability to extract hidden data behind data and can use the data to obtain the desired results using a combination of different tools, algorithms, and machine learning principles. The main stage of a data scientist’s work is to understand the problem, collect relevant data, prepare and interpret the collected data, plan and analyze the models, visualize the modeled data, and finally implement it in the desired environment.

The task begins with an analysis of the problem that the data scientist must solve by asking good questions. Non-structural information is very difficult to interpret, clear, and modify, but it is also exciting. Although model development is a core activity of the entire process, visualization and communication are important for the client to understand the modeled data.

What Data Science Course Consists of?

Data science is focused on solving problems using data, so statistics, programming languages, and business experience are needed. Therefore, the training focuses on all planning tools when working in the Python programming language in Machine Learning. The course consists of a detailed practical study of all concepts in Data Science by industry expert trainers with extensive work experience.

Many webinars and live projects are designed to teach students to work in a real business environment. In addition, the placement cell, set up in partnership with leading information technology companies, directs students to find work immediately after graduation.

Why One Should Consider Data Science As A Career?

It would not be wrong to say that the future depends on data scientists. Currently, there is a shortage of qualified specialists, and it is estimated that there is a shortage of more than two hundred thousand specialists around the world. IT industries such as e-commerce, social media, communications, robotics, artificial intelligence, and more. data scientists on a mass scale, other major industries such as medical sciences, biotechnology, entertainment companies, aviation, and logistics.