課程資料
課程簡介
Learn the ins & outs of big data and data science in the most complete helicopter-view course that there is.
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.
課程章節
- 10 個章節
- 57 堂課
- 第 1 章 Course Introduction
- 第 2 章 Concepts and terminology
- 第 3 章 Big data tooling and technology - Introduction
- 第 4 章 Big data tooling and technology- NoSQL
- 第 5 章 Big data tooling and technology - Processing tools
- 第 6 章 Data science - Machine learning and AI - Supervised machine learning
- 第 7 章 Data science - Machine learning and AI - Unupervised machine learning
- 第 8 章 Data science - Machine learning and AI - Other principles & pre-/post-processing
- 第 9 章 Data science - Machine learning and AI - Tools and technology
- 第 10 章 Visualization, cases & wrap-up
課程內容
- 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
評價
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BBen Gonzales
This course was exactly what I was looking for. A high-level overview of Big Data. I'm an IT Project Manager with a technical background and wanted to know more about the subject. The instructor gives explanations about all the buzz words, how they interact and goes into enough detail that leaves you wanting more (or not -- your choice). Bottom line it was a great baseline course to start on the journey.
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JJaychauhan
The lack of examples accompanying concepts is shocking. Even the final 30min of the course where the instructor explains real-life use cases don't even have a single basic architecture diagram. Students are expected to understand data streaming use cases (5yr old case studies) just by looking at a few words on the screen. He should put in the effort to update and add at least 2-3 diagrams.
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JJean-Pierre Dejean
Course was informative. Liked the many tools and techniques presented as well as the pros and cons of the various tools and techniques. Wish for leave behind examples that could be studied as starting points for small toy projects. Thank you, JP Dejean, Booz Allen Hamilton
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VVictor Peres Gonçalves
Mostra o que prometeu. Respeito, mostrou mesmo o básico de vários itens. Mas achei meio tedioso a partir de certo ponto.