Career in data science

If you love to analyze data and apply your analytic skills to real-world problems or situations, then a career in data science may be right for you. 

Data scientists use their unique set of abilities and analytical skills to find solutions. 

They work with a wide range of industries, including finance, healthcare, government, retail and manufacturing. 

Whatever your interests are, there is a growing demand for data scientists who can make sense of the seemingly endless streams of information coming from a variety of sources.

Clean ERSJ has some more information about careers in data science.

Here are some points discussed about career in data science-

1.What is data science?

At its core, data science is the application of statistical and machine learning methods in order to extract knowledge from a data set. 

Analytical techniques, such as descriptive statistics and modeling are used to increase the understanding of the underlying mechanisms that generate the data. In other words, data scientists make sense of large amounts of information. 

It is a relatively new field within computer science which focuses on high-volume/high-velocity/high-variety information systems that can generate hypotheses that explain how business works. 

This means that a data scientist must have an ability to understand how a business operates and be able to create metrics that can help drive a company’s success in Data Science Training in Luxembourg.

2.What will be your future?

Data scientist is one of the fastest growing job sectors in the U.S. Currently, there are over 1 million professionals in data science employed in various roles across industries, and this number is expected to grow substantially in the coming years. 

Data scientists are expected to outnumber software engineers by 2018; but also build economies that produce more data-driven machinery and technology to transform society.

3.What kind of skills do you need?

Data scientists must know how to use advanced mathematics and statistics where necessary, but they must also be able to operate on teams giving the best possible results using their creativity and knowledge of business processes. 

They should be adept at writing and communicating and should have excellent problem solving and research skills. 

Additionally, successful data scientists need the ability to generate new insights from data using their business knowledge and understanding of analytics methodologies. 

While not necessarily a requirement for this job, successful data scientists must understand programming languages like Python, R or SAS (Statistical Analysis Systems) or other languages such as Julia or Scala.

4.What is the salary?

According to Indeed, the average salary for a data scientist is $114K – $124K per year. This reflects that about 20 percent of these professionals earn more than $117K and 30 percent earn less than that amount. 

The highest salaries can be seen in the IT services and consulting industries, where the average salary of a data scientist is above $150K. 

In fact, according to salary.com, data scientists make about twice as much as software engineers.

If you want to make a career in data science or if analyzing data is your passion, then consider joining a respected university like Purdue University and getting a degree in Data Science program. 

Here you will learn all the skills needed to excel as a data scientist and will also have an opportunity of going for further education into Specializations such as Machine Learning or information theory etc. Join this course now on Placement Labs!

5.What can make you a better data scientist?

Data science is an evolving field, and therefore the best way to ensure your success as a data scientist is to stay up-to-date on the latest developments and trends in it. Here are some ways you can do that:

Read – It’s the best way to keep up with new developments and ideas. Being a data scientist means that you should read books and papers related to your work. 

You could subscribe to blogs or magazines that report on advances in data science or related fields. It is also important that you read case studies about companies using analytics effectively. 

These are great for learning how things are done in practice, rather than just being theory-based.

6.Are you a beginner or expert?

If you want to be a data scientist but don’t know where to start, then consider joining a graduate program. 

In fact, there are many programs that offer core and specialization courses in data science, with some even offering masters programs. 

You can get a data science degree from Purdue University or from any other reputable university that offers such courses. 

The best way to find the right program is to research by looking at course prerequisites and course description. This will help you see if the training will give you what you need for a career in data science.