The definitive intro to big data science


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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 57 lectures (7h 17m) | Size: 1.63 GB
What you'll learn
No-nonsense approach to big data science that anyone can understand regardless of prerequisite knowledge
Get a broad overview of big data and data science
Evolve from a career in BI to a career in big data
Identify which topics you want to learn more about for your advancements
Be able to make well-motivated decisions in your day-to-day job around data

This course requires no prerequisite knowledge and will help both the novice as well as the expert
It does not matter whether you plan to practicion big data science as an engineer/scientist or whether you are C-level or manager and just want to be enabled to make proper decisions

Are you interested into big data? Data science? Tired of finding only courses that describe one tool or programming language but fail to set a broad standard that sketches the bigger picture? Then this course is exactly what you've been looking for!

In this course we leave no stone unturned when it comes to big data science. Not only will we demystify big data in all of its aspects - NoSQL storage, batch processing using MapReduce, streaming tools like Spark - but we will also build a bridge to data science and its core principles such as supervised and unsupervised Machine Learning and Artificial Intelligence.

We provide a no-nonsense approach to introduce every aspect of data you will ever encounter in your career or organization and set a strong fundament to both marry the field of big data with data science AND continue in exactly the right direction for more in-depth learning on specific topics.

As the course's lecturer, Erik Tromp has been working in big data science for almost 15 years. He has published over 20 papers academically but is best-known for his pragmatic approach to data and applying it to real-life scenarios. Because of his broad understanding of big data, data science and data architecture, Erik has been successfully teaching these concepts commercially for over a decade and received honors for his courses.

For the first time ever, he has decided to make his award-winning material available to the masses digitally, providing an insanely good deal for anyone looking to learn something on data.

Who this course is for
Best suitable for professionals of all layers of an organization that want to get a broad overview of big data science
If you are experience in big data AND data science or are looking for in-depth tutorials on specific tools, this course is NOT for you

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