Big Data and Data Science are often confused, but they are different fields requiring different skills and programming languages. This short, focused course clears up the confusion. You will learn the programming languages used in Big Data (like Java, Python, Scala, and SQL), the skills needed to become a Big Data professional, the key differences and similarities between Big Data and Data Science, and the major challenges of working with Big Data. No prior experience is required.

This Course Offers

• A clear explanation of programming language concepts as they apply to Big Data.
• A breakdown of the skills needed to become a Big Data professional, from technical to analytical.
• A side by side comparison of Big Data versus Data Science, so you understand which field fits your goals.
• An overview of the challenges of Big Data including volume, velocity, variety, and veracity.

Why We Love This Course

1. It is extremely short and efficient. Just 36 minutes of video across 6 lectures. You can understand the entire landscape in under an hour.
2. Over 66,000 students have enrolled, making it a popular choice for beginners trying to navigate the Big Data vs Data Science question.
3. The instructor has 14 years of IT industry experience and extensive knowledge of SQL Server, Big Data, Hadoop, MongoDB, Python, and Java.
4. The course is completely free. You can explore Big Data concepts without any financial risk.

A note: the course last updated in April 2020. Some specific programming language trends and tools may have shifted slightly. But the foundational concepts of what Big Data is, the differences between Big Data and Data Science, and the core programming languages remain accurate. If you are a beginner trying to decide which path to pursue, this free, concise course is an excellent starting point.

• Beginner level students interested in learning Big Data programming languages.
• Anyone confused about the difference between Big Data and Data Science.
• Career changers considering a move into Big Data or Data Science roles.
• Students who want a quick, free overview before committing to longer courses.
• Professionals who need to understand Big Data concepts for their current role.
• Anyone who wants to know what programming languages to learn for a Big Data career.

• No prerequisites.
• A basic interest in Big Data or Data Science.
• No prior programming or data experience is required.

Interested in exploring more lessons? Check out our full course library to continue building your skills and advancing your learning journey.