Free Big Data Courses Online

Big data is often described by five characteristics—volume, value, variety, velocity, and veracity.

• Volume: The size and amount of big data that is managed and analyzed
• Value: It usually comes from pattern recognition and discovering insights that result in effective operations, strong customer relationships, and other quantifiable business benefits
• Variety: The diversity and range of different data types—raw, unstructured, and semi-structured
• Velocity: The speed at which data is received, stored, and managed 
• Veracity: The accuracy of the data and information assets that determines executive-level confidence

Intellipaat offers various free courses on a number of big data topics—Introduction to Python Programming, Python for Data Science, Introduction to R, etc.—to get you to start learning the fundamentals of the domain.

Depending on the specific position, skill set, and academic qualification, big data jobs can be very lucrative. The average salary of a big data professional is around US$104,463 p.a. in the USA. Not only can big data be a rewarding career, but it is also one of the domains that pay well.

You can start by learning the basics and fundamentals from the free courses that we provide in this domain. Starting from Introduction to Python Programming to Data Science with R, you will acquire a good understanding of all the crucial topics that will help you progress you through the more challenging parts of big data.

According to Glassdoor, big data engineers, on average, in the USA earn about US$104,463 p.a., while in India, the average salary of big data engineers is about ₹754,830 p.a.

There are no prerequisites to start learning the foundational courses of big data. These courses are free to sign up for and you can start immediately, if you wish.

Yes, coding is necessary to become a big data professional, which is why we have included the various essential programming languages, such as Python and R, in our free courses so that you can start from scratch and progress smoothly.

Some of the top companies that are hiring big data engineers are:

• Amazon
• Google
• Salesforce
• Facebook
• Airbnb
• AT&T
• Microsoft
• Capital One

The roles and responsibilities of a big data engineer are:

• ​​Designing the architecture of a big data platform
• Maintaining the data pipeline
• Structuring and managing data
• Customizing and managing integration tools, warehouses, databases, and analytical systems
• Setting up data-access tools for data scientists