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$98,000: Entry Level Salary for Data Scientist - Here's How You Can Get Started

With the Right Skills and the Motivation, You Can Be a Data Scientist Too

how to be a data scientist

Every click, swipe, search, share, and stream creates data. Companies worldwide know how valuable it is to understand data, so they're willing to pay someone to do it for them. That person could be you.

Did you know that industry leaders like Google, Twitter, Apple, Facebook, and Microsoft offer data scientists a starting salary package of over $100,000? It's safe to say that high salaries come with great responsibilities - an applicable statement for what it takes to be a data scientist.

It takes a lot of skill, commitment, and continuous learning to be a successful data scientist, which is why the high demand for such impressive roles is ripe for the taking. If you're somebody who loves computer science, statistics, analytics, and math, then you're on the right path.

Be on your way to a $98,000 entry-level salary just for doing what you love and staying committed to it. Here's how to get started.

The Demand For Data Scientists Drives Salaries Upward

how to be a data scientist

Businesses, agencies, and all kinds of organizations need data because it can help provide solutions to problems that any industry – from transport, healthcare, pharmaceutical, and beyond - may encounter. The data that people provide is the first foundation of development and innovation. Data drives progression so much that more and more professionals will be needed to dissect data and turn it into readable, understandable information through the years.

The day-to-day job of a data scientist goes beyond the basic roles of an analyst. In fact, analyzing data is just one of the steps involved in performing a data scientist's responsibilities. The essence of the job is more about helping companies and organizations make informed decisions. This means that you're the first person to collate the data and turn it into something digestible like a PowerPoint presentation. You need the right set of skills to analyze raw data and then develop it into something useful. You're basically one of the company's most valuable assets because you provide them the hammer of knowledge. The way you extract, interpret, and model the data strongly influences how a company chooses to move forward.

A fundamental responsibility rests on the shoulders of a data scientist. Should you choose to pursue this career, you need to be equipped with the right knowledge and skills. You also need to commit to lifelong learning and keep up with technology as it evolves. Coursera, the best online learning platform today, gives you access to over 200 leading universities and companies so you can keep learning and developing the skills that you need to be a successful data scientist.

Data Science Courses To Get You Started

how to be a data scientist

Python For Everybody

Offered by: University of Michigan

Python for Everybody is a Specialization program made up of five courses that slowly build up your knowledge and application of Python. Data scientists worldwide use Python, a programming language that helps you perform complex data analysis and manipulate files. If you're planning to dip your toes into the world of data science, learning how to use Python is the best way to get into it.

Each course you finish earns you a certificate that you can share with your prospective employers. This means enrolling in Python for Everybody is like going to school to earn a certificate, except this time you get to do it online, and you get to register for free.

Enroll in Python for Everybody for free right here.

Data Science: Foundations Using R

Offered by: Johns Hopkins University

Data Science: Foundations Using R is a Specialization program made up of five courses. You will learn how to utilize R, another valuable programming language that lets you turn raw data into a piece of readable, report-worthy information. The first course introduces you to the main tools that a data scientist is expected to know how to use, like R, GitHub, RStudio, and more.

By the fifth course, you'll be equipped with the skills to produce data analyses in a reproducible manner. In layman's terms, reproducible refers to data analyses published with authenticator codes so that others can verify and develop the data you publish.

Knowledge about R and reproducible research are the building blocks of a data scientist in the making. Learn about it here.

Learn SQL For Data Science

Offered by: UC Davis

The course Learn SQL for Data Science trains data scientists to be "part mathematician, part computer scientist, and part trend-spotter." You can start working on all three identities by being well versed in SQL, the standard language for communicating with database systems. In this course, you will get to know your way around SQL and master commands that filter, sort, and summarize data.

Learn and master the many facets of SQL by enrolling here.

Data Science Math Skills

Offered by: Duke University

You need to learn the math skills applicable to data science if you wish to advance in this career. Data Science Math Skills is a course specially designed to instill the foundations of data science math that you will be using for the rest of your career. Rediscover how to apply Bayes' Theorem, the Probability Theory, and more!

Equip yourself with basic data science math by enrolling here.

Data Science: Statistics And Machine Learning

Offered by: Johns Hopkins University

Machine learning may seem like an intimidating topic right now, but a willingness to learn and commitment to finish the five courses in this specialization will help you successfully build prediction functions. Data Science: Statistics and Machine Learning takes you through the must-knows of data collection, feature creation, algorithm, and evaluation.

All you need to do is enroll here.

Applied Data Science With Python

Offered by: University of Michigan

Applied Data Science with Python takes all the knowledge you learned from Python for Everybody to help you develop a deeper level of understanding. Learn how to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques with Python. This Specialization is recommended for learners who already have a basic python or programming background (which you can get from Python for Everybody).

Think you got what it takes to advance to the next Python level? Enroll here.

Machine Learning

Offered by: University of Washington

Machine Learning is a Specialization made up of five courses. It teaches you all you need to know about machine learning concepts, but you'll also be learning more than that. Some of the skills you will gain from the five courses include regression analysis, complex datasets analysis, clustering, and information retrieval. Simply put, you'll walk away with applied machine learning and additional skills necessary to start a career in data science.

Start specializing in machine learning by enrolling here.

Coursera Plus – Your Ticket To Unlimited Learning

how to be a data scientist

The courses listed above will help get you started towards a data science career, and with Coursera Plus, you can take and earn certificates for all of them for just $399/year.

An annual subscription to Coursera Plus also allows you to take all these courses and more to develop the same skills and expertise you would gain from a four-year degree program! With access to over 3,000 courses, Guided Projects, Specializations, and Professional Certificates included in Coursera Plus, rest assured that you'll never run out of new things to learn and new skills to master.

It takes hard work, commitment, and continuous learning to become a successful data scientist, but the opportunity is worth it.

Start your data science journey with Coursera Plus today.

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