Data Science is a catch-all term for the field of work on the intersection of computing, statistics, data analysis, and some domain expertise. Typically, people working here have some programming skills, knowledge of statistics & data modeling and have knowledge about the domain area.

In other words, data science is a field of research that spans many disciplines such as mathematics, statistics, computer science, information engineering, and artificial intelligence among others.

Why is data science so popular nowadays?

Data plays a major role in our everyday lives. It is used to understand human-computer interaction and can be used to improve the quality of life. Data is also used to improve the quality of education, healthcare, and public safety, among others. The demand for big data analytics tools and techniques has been on the rise as businesses are looking to utilize their data assets to make better business decisions.

Many people think that they need an advanced degree or extensive experience to become a data scientist. But this isn’t true because you can start learning about data science today by taking online courses and earning certificates.

Data scientists are highly skilled professionals who are trained to analyze large sets of raw information so that they can predict future trends and behaviors. If you want to become a data scientist, you should start by taking online courses on the subject to get a better understanding of what it entails.

How to learn data science?

The thing with data science is that it requires a lot of different skills. You need to understand what’s important for a business, which data will help solve the problem, and how to find the data. Then you need to be able to extract knowledge from the raw data, clean it up and interpret it in order to come up with actionable insight.

That will require some coding skills, but also a basic understanding of statistics, mathematics, and machine learning algorithms.

Here are some steps for you to get started with learning data science:

• Learn some basic statistics
• Learn linear algebra
• Learn python and its libraries like NumPy, Pandas, Matplotlib, etc.
• Learn machine learning algorithms like linear regression, logistic regression, decision tree, etc.
• Learn data visualization techniques like a bar chart, pie chart, histogram, etc.
• Check out the data science projects available on GitHub to see how others are working with data science.

Data science is a comprehensive field that requires training in multiple areas, including mathematics, statistics, computer science, and programming. This means that there is no one specific path to begin a career in data science.

It’s hard to know where to start if you really want to become an expert in data science, but that doesn’t mean it’s impossible – just a little difficult.