Data science Career After BE/BTech

Roshan 1 Y

Introduction

If you’re thinking about a career in data science, we can help. Data scientists are among the most in-demand workers today. The field of data science is growing rapidly, and job opportunities will continue to increase as companies look for ways to harness the power of information technology. As a result, there are many different paths that you can take as a data scientist after completing your bachelor's degree or higher education program.

The Start

If you are planning to join the data science industry, then it’s important to know what exactly is data science. Data Science is all about finding patterns in a large amount of data and making predictions out of this information.

Data scientists help companies by analyzing business problems and recommending solutions that can improve operations or increase revenue. They also create new technologies, applications and services based on their knowledge of how people use technology at various stages in their lives.

To become a skilled professional in any field requires several years of training which includes acquiring skills such as programming languages like Python or R; algorithms for processing large amounts of data; statistical techniques like clustering algorithms (which allow us draw conclusions from large amounts of information); machine learning techniques like neural networks etcetera...

The Buzz

Data science is a hot topic in technology right now. It's one of the fastest growing fields, and it's attracting more and more people to pursue careers in data science. Data scientists are in high demand, which means that there are plenty of opportunities out there for you if you want to get started!

Data science can be applied across many different industries—including healthcare, finance, retail and marketing—and it's becoming an increasingly important part of many companies' core business goals (more on this later). As such, data scientists are often tasked with solving complex problems involving large amounts of information; they're expected to have expertise in programming languages like Python or R; and also have solid understanding about machine learning algorithms (which allow computers/robots/etc., etc., etc.).

Is Data Science the Right Career for You?

Data science is a very broad term that covers a lot of different areas, but it is essentially the use of data to solve problems and make decisions.

In 2018, there were about 575,000 job openings for data scientist jobs in the U.S., which means you have many options when it comes to finding a job after your bachelor's degree ends. However, if you want to become a full-time employee at Google or another tech company (or even one outside of Silicon Valley), then those chances are slim because these companies typically don't hire anyone who isn't already employed by them first before interviewing them for their team! In addition to being good at math and statistics as well as programming skills like Python or R; however I recommend taking courses related specifically towards this field such as Machine Learning 101 course taught by Stanford University professor Andrew Ng since he has been teaching these classes since 2014 - so he knows what he's talking about!

What to do before you start a Data Science course?

Before you start a Data Science course, it is important to have good understanding of mathematics and statistics. You can further enhance your skills by reading books on these subjects or enrolling in courses offered by reputed institutes. If you are not comfortable with programming languages, then there are many online resources that can help you learn them easily. Also make sure that you know how to communicate well with people from different backgrounds and cultures as this will be an integral part of your career as a data scientist. The best way to ensure all these requirements are met is by taking a course like the Master's Degree Program in Data Science at IIIT Hyderabad which offers both theoretical knowledge along with practical experience through projects based on real life business problems faced by companies worldwide today!

Choosing a Data Science Program

Choosing a Data Science program is an important decision. Here are some things you should consider:

Location and time of study. Find out whether the program is offered on campus or online, and how much travel will be involved for your studies. If it's an online course, make sure that there are enough instructors available when you need them (and vice versa).

Course selection. Choose courses that best suit your interests and career goals—you'll want to stay away from courses that don't align with what you're hoping to accomplish after graduation!

The Academics

Data science is a field that involves the application of methods from various disciplines to solve problems in data-oriented ways. It involves the creation of models and algorithms for collecting, processing and analyzing large amounts of data with the aim of producing actionable insights.

In India, there are various universities offering courses in this field such as IIIT Hyderabad, IIT Guwahati etc., which offer bachelor's degree programs in Computer Science (BSc) or Information Technology (BTech).

The Internship

An internship is a period of employment that helps you gain experience and contacts. It can be in your field of study, or outside it. It could also be a paid position, or unpaid.

Internships are one way to get a foot in the door of your chosen profession, but they're not an end goal by themselves; if you want to move into data science after graduation, there are many other avenues open to you:

Work as an entry-level analyst at Google or Facebook;

Apply for jobs at consulting firms like McKinsey & Company or Booz Allen Hamilton; * Go backpacking across Europe while working on a gap year (and earning some spending money); Or even consider working abroad during college breaks!

Use your skills wisely!

As a data scientist, you are in a unique position to make a difference. You can use your skills to solve real-world problems and make a difference in the world. Consider these examples:

Use your skills for good. Data science is an opportunity to solve some of our greatest challenges, including climate change and economic inequality. By using data from the internet and other sources (such as social media), we can gain insight into what makes people happy or unhappy so that organizations can cater their services toward those who need it most.

Make sure you’re not just solving one problem at once—if there are multiple issues related to data science that need addressing at once, then consider combining them into one project instead of tackling each individually (this will ensure more time spent working on developing new methods rather than just collecting existing ones).

Conclusion

I hope this article has helped you figure out if data science is the right career for you. If so, then congratulations! The next step is to start your path towards becoming a Data Scientist. There are many different options available, but I recommend starting with a Masters in Statistics and Machine Learning program. Let me know in the comments below if there's anything else we could have covered here