How can I become a data scientist after BA?

To become a data scientist, you’ll have to learn about many technologies such as Kera, MongoDB, Python, MS Excel, Hadoop, Tableau, and MySQL. At upGrad, we offer a Post Graduate Diploma in Data Science from IIIT Bangalore. Apart from IIIT Bangalore, we offer certification from NASSCOM as well.

How can a graduate become a data scientist?

Most Data Scientists have a PhD, a Masters or Bachelors degree. This could be in anything from statistics, mathematics, economics, operations research to computer science. Graduates who have taken subjects such as astrophysics are also popular applicants for hiring managers.

How do I become a data scientist step by step?

Learn key programming languages for data science. Work on data science projects to develop your practical data skills. Develop visualizations and practice presenting them. Develop a portfolio to showcase your data science skills.

How do I become a data scientist?

There are three general steps to becoming a data scientist: Earn a bachelor’s degree in IT, computer science, math, physics, or another related field; Gain experience in the field you intend to work in (ex: healthcare, physics, business).

What is a Data Science degree?

Data science is a field where career opportunities tend to be higher for those with advanced degrees like a Master’s or Ph.D. The in-demand graduate degrees for data science include the exact same specifications for an undergraduate degree: data science (if available), computer science, information technology, math, and statistics.

Is data science difficult to learn?

Although data science relies on a steep learning curve, it is not entirely unfathomable. Even if you do feel the inadequacy of not being able to keep up with data science, you should at least know why this job profile can be challenging. What are the Data Scientist Qualifications?

What degree do you need to become a data analyst?

Some schools offer data science degrees, which is an obvious choice. This degree will give you the necessary skills to process and analyze a complex set of data, and will involve lots of technical information related to statistics, computers, analysis techniques, and more.