In today's data-driven world, being well-versed in Big Data and analytics can help land an exciting and high-paying career. Whether you're interested in working for a major tech company or pursuing freelance work in development, you need to have a thorough understanding of the latest and greatest platforms in analytics if you want to succeed.
The Complete 2020 Big Data and Machine Learning Bundle comes with ten courses and over 600 lessons that will get you up to speed with the world's most popular and powerful data and machine learning methodologies and tools, and it's currently available for over 95% off at just $39.90.
This extensive training bundle will help you outpace the competition in a wide variety of data-driven career fields, through comprehensive training that's easy to understand regardless of your experience level.
If you view yourself as a Big Data and machine learning novice, start with the introductory course that walks you through the basic terminology of the field. You'll finish this course with a solid grasp of everything from fundamental theoretical concepts to the more nuanced ways in which data pros are applying their knowledge in the real world.
From there, you'll be ready to move on to more advanced topics having to do with various programming languages like Python, the role of Big Data in large-scale analytical environments, data processing methods that will allow you to gain valuable insights from massive sets of information, and more.
There's also extensive instruction that covers the increasingly important and lucrative world of machine learning — through lessons that focus on everything from deep learning algorithms to artificial intelligence, neural networks, Hadoop, and beyond.
Get the skills and tools you need to thrive in a world that's dependent on data and analytics. Usually priced at $1,295, the Complete 2020 Big Data and Machine Learning Bundle is on sale for just $39.90 — over 95% off MSRP for a limited time.
Prices are subject to change.
Cover photo by ThisisEngineering RAEng/Unsplash
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