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Many universities make their curriculums publicly available, listing all required courses to attain a degree. The Computer Science field is no different. Using such freely accessible resources (see…

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Business analytics focuses on gathering, analyzing, and reporting business data to drive strategic decisions, whereas data science uses advanced statistical

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This blog describes the importance of Data Science, why learn data science. Know about data science components, roles, and salary of a data scientists.

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FacebookTweetPinLinkedIn What is Data Science? Data Science started with statistics, and has evolved to include concepts/practices such as Artificial Intelligence, Machine Learning, and the Internet of Things, to name a few. Data science makes use of data mining, machine learning, Artificial Intelligence techniques. As more and more data has become available, first by way of […]

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A handy Pandas Cheat Sheet useful for the aspiring data scientists and contains ready-to-use codes for data wrangling. The cheat sheet summarize the most commonly used Pandas features and APIs. This cheat sheet will act as a crash course for Pandas beginners and help you with various fundamentals of Data Science. It can be used by experienced users as a quick reference. * Pandas API Reference * Pandas User Guide * Data Wrangling with Pandas Cheat Sheet Pandas setup Pandas is open s

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Data science and mathematics are problem-solving duo. They're important in lots of fields, from money to medicine. But what makes them different, and how do

Getting a job in data science is as much about finding a company whose needs match your skills as it is developing those data science skills.

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What is Machine Learning, Data Science or Artificial Intelligence? is one of the most common questions which I have faced from people. Be it newcomers, recruiters or even people in leadership positions, this is a question which is puzzling everyone in its own way. For beginners it takes the form of how do I become… Read More »General Myths to avoid in Data Science and Machine Learning

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Here is the second and concluding part of the blog post series on MBA vs MS Business Analytics vs MS Data Science. In this part, we will look at how each of those programs pits against each other and how to figure out the right program. We will break down the job opportunities for MBA

In the last DIY, we introduced the concept of Exploratory Data Analysis (EDA). This is a fundamental step in Data Science. One of the key components of the EDA is finding out about the data distribution. Let’s inspect this in more depth!

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An ETL (and it’s not so far off cousin ELT) is a concept that is not usually taught in college, at least not in undergrad courses. Yet…

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Tired of infographics? How about a Mathographic? We dive deep into correlation analysis here on SEOmoz, so I thought it might be a good time to review the basics.

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The difference between primary data and secondary data - a comparison chart. What is primary and secondary data? Definition, sources, advantages.