Data science is the hottest job! Many students in their final year of graduate studies, particularly those from engineering, are looking forward to a career as an Artificial Intelligence specialist. Data Science Jobs are a great way to learn the field and get firsthand experience.

Many students in their final year of graduate school are looking forward to a career as a data scientist. This blog will explain the essential skills needed to get a job in Data Science.

**Data Science Jobs – Skills Require**

Let’s take a look at the essential skills needed to get a Data Science Job.

**1. Probability & Statistics**

Data science is about analysing data. To understand **science spot** any data’s structure, you need to be familiar with statistical methods and probability distributions. When looking for data science jobs, you need to be familiar with descriptive statistics such as Mean, Median and Mode, Variation, Standard Deviation, Bernoulli Trials and Probability Mass Function, Normal Distribution, and Inferential Stats.

**2. Coding Skills**

Data Scientists must have a flair for programming. R and Python are the two most popular languages used for data science programming. R is best for statistical analysis tasks, while Python is for machine learning and deep-learning tasks. You should be proficient in at least one open-source language before applying for any Data Science Job.

**3. The Basics of Machine Learning**

A basic knowledge of Machine Learning algorithms will help you stand out from other data science job seekers. You can learn about Linear regression, decision trees, random forests, k-nearest neighbors, and other algorithms. You should pay particular attention to how these algorithms are tuned to your specific needs. Also, how to select the right algorithm for a given set.

**4. An Online Portfolio**

This is more about showcasing your talents and potential. There are many ways to increase your digital presence. A GitHub profile is basically your data science resume. It can be accessed by anyone. You can upload any demo projects you are currently working on, as well as problem statements and code. A well-written, clean code is the best way to say “I know this technique”. You can also brush up on your writing skills by starting a blog. Start with the basics and then move on to more complex topics as you master them. This will show not only your data science knowledge, but also your communication skills and language abilities. Make your presence known through LinkedIn’s professional network. Make sure you tailor your profile for the internship that you are applying for and connect with data scientists.