Data science jobs are the talk of the town! Many final year graduate students, especially from engineering discipline, look forward to a career in this new-age field related to Artificial Intelligence. A data science internship is one sure-fire way to understand the domain as well as to get a first-hand experience in this field.

Many final year graduate students look forward to a career in this new-age field. In this blog, Find out some of the fundamental skills required to land a data science internship.

But, why has this relatively new domain garnered so much interest from all and sundry? The simple answer would be because we live in the age of information. As Jeff Weiner, the CEO of LinkedIn says, “Data really powers everything that we do”. The sheer amount of data gathered in the last decade has been enormous, thanks to the advent of free internet, online marketing and popularity of social media platforms. Stalwarts in the business industry realized that by extracting patterns from the data provided by a client, they could design algorithms to enhance their business prospects (for instance by recommending products that might be of interest to the client) and provide a more personalized experience for him. Data science is all about extracting, analyzing and storing important information from a huge amount of data and utilizing it for the betterment of the business. The break-throughs in data science have benefited not just the business industry but also other fields like medical science, tourism, deep space research, etc.

The job of a data scientist is to analyze the available data using advanced machine learning techniques and predict the probability of occurrence of a similar event in the future. It can also be taken a step further by proposing solutions to the predicted event. A junior data scientist is expected to work with machine learning algorithms, statistically analyze and draw a conclusion using already existing data science methods. To know more about possibilities in data science, read this article.

Data Science Internship – Skills Required

Let’s look at some of the fundamental skills required to land a data science internship.

1.      Statistics & Probability

Data science is all about analyzing data.  A thorough grasp of probability distributions and statistical methods are necessary to understand the structure of any given data. Descriptive statistics like Mean, Median, Mode, Variation and Standard Deviation, Bernoulli Trials, Probability Mass Function, Normal Distribution and Inferential Statistics are some of the important areas you should be keen on, while contemplating data science jobs.

2.      Coding Skills

A flair for coding is a must for an aspiring Data Scientist. Python and R are two of the most commonly used languages for coding in data science. R is preferred for any statistical analysis tasks whereas Python is used for machine learning and deep learning tasks. Before applying for any data science internship jobs, make sure that you are competent in at least one of these open source languages.

3.      Basics of Machine Learning

Basic knowledge of some Machine Learning algorithms will give you an edge over other aspirants of data science jobs.  Linear regression, decision tree, random forest, k-nearest neighbor, etc are some of the algorithms you can familiarize with. Pay particular attention to the various parameters of these algorithms, how to tune them to suit your needs and also how to choose a particular algorithm for a given set of data.

4.      An Online Portfolio

This is more in the nature of showcasing your skills and potential. There are several ways to boost up your digital presence. Get a GitHub profile which is essentially your data science resume, accessible by anyone. Here, you can put up any demo projects that you are working on, including problem statement and code. After all, nothing says “I know this method” like a well-written clean code. Also, brush up your writing skills and get blogging. You can start off with basic topics and later, branch out into complex ones even as you learn them. This will showcase not only your knowledge of data science, but also your communication and language skills. As a final touch, make your presence known on LinkedIn’s professional network. Optimize your profile to the internship you are applying for, and connect with other people in data science.

Check out the online training and certification program provided by Springboard India in the field of data science. This program will provide a boost to your data science internship search and prepare you for your foray into this vast and complex field with one-on-one mentoring sessions with industry experts. The Career Track is a self-paced, 1:1 mentoring-led and project-driven program that comes along with a job guarantee

Once you are ready with your skills, you can start applying on various online job platforms, including AngelList, Internshala, LinkedIn and Indeed. Entry-level data scientist salaries are as motivating as the job itself. If you can crack Amazon data science internship or Google data science internship, the experience you will gather here will give an edge to your career, and then there would be no looking back. The career is lucrative as well as very promising in terms of growth opportunities also.

Entry-level data scientist salaries are as motivating as the job itself. If you can crack Amazon data science internship or Google data science internship, the experience you will gather here will give an edge to your career, and then there would be no looking back. The career is lucrative as well as very promising in terms of growth opportunities also.