New! Introducing the Refreshed Data Streaming Nanodegree Program

The new world of work is changing and new skills will play an important role in your ability to gain entry into the future workforce. With that said, Udacity wants to ensure that you receive the most up-to-date training in the world of tech, and we’re excited to announce that we have refreshed our Data Streaming Nanodegree program. 

Data streaming is a big business. Several of your favorite streaming services — Netflix, Hulu, Spotify, etc. — are using and ingesting reams of data on a daily basis.  In fact, according to a Grand View Research report the global streaming market was worth $42.6 billion in 2019 and it’s expected to grow more than 20 percent per year and reach a total of $184.3 billion by 2027.



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Top 8 Skills You Need to be a Data Scientist

Data Science Career Udacity

Back in 2016, Glassdoor declared that being a Data Scientist was the best job in America.

Four years later, the world of big data has evolved rapidly, and the role of Data Scientist is still a top job. It’s currently ranked as the number three job for 2020 by Glassdoor, and it’s only surpassed by Java Developer and Front End Engineer.

What is it about being a Data Scientist that makes it so appealing, and what skills does someone looking to get into this field need to have? 

Let’s take a look.

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Creating Data Visualizations with Tableau

Have you ever tried to learn something, maybe in a textbook or an online lecture, but not been able to fully grasp the concept until you saw a visual representation? If so, you’re not alone. According to the Social Science Research Network, 65% of people are visual learners. That’s why data visualization is so important — especially for businesses.

Data visualization is a way to represent data in graphs, charts, maps, and infographics. After all, data points in a database in the cloud only go so far. With data visualization, you can spot trends and relationships in large datasets by sight. Companies that collect large amounts of data for processing use these insights to make business decisions that change their course of their future.

While there are tons of tools on the market for data analysis, Tableau is one of the best platforms for business intelligence.



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Common Data Analysis Tools

These days, it’s no longer just big companies collecting tons of data for analysis. Everyone’s gathering and analyzing data to help make better business decisions. Tools for data analysis are great for helping the people in charge of data analysis — product managers or data analysts — know if their business strategies are working or not.

We’ve identified three main types of common data analysis tools: 

  1. Software for big data analysis
  2. Software for product analysis
  3. Analytics platforms

Keep reading to find out more about each one.



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What to Expect From a Data Science Internship

From personalized education, to cleaning the oceans, or transforming healthcare – data science is poised to continue revolutionizing how businesses operate by producing actionable insights from data. Digitalization has made it easier for companies to collect data about their internal processes, but this data can’t be used to its full potential without data scientists. 

But what exactly is data science and how does one become a data scientist?



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Upleveling Your Job Opportunities With a Data Analyst Internship

Ever wondered if taking an internship is worth your time? The short answer is yes, it is! According to the National Association of Colleges and Employers 2019 Internship and Co-op Survey Report, the average job offer rate for new grads who’ve completed an internship is a staggering 70.4%.

For industries where skilled professionals are in high demand, like big data, securing a role such as a data analyst internship can be an incredible opportunity. It’s an ideal way to gain additional experience that makes you more marketable to potential employers. 

Let’s look at what you can expect when taking a data analyst internship.



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Want to Become a Facebook Data Engineer? Start Here.

With over 2.7 billion active monthly users, Facebook is an endless source of big data.  From your personal information, like name and location, to the pages you like and visit and which ads you click on, data on you and your habits is constantly being created and collected. 

To transform this data into actionable and valuable insights, Facebook Data Engineers build tools, infrastructure, and frameworks. The individuals working in these roles help influence things like product decisions that can impact millions of people across the world. 

Here’s what you can expect as a Facebook Data Engineer.



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