This is a free, cherry picked curriculum to become a data scientist
Romeo Kienzler is Chief Data Scientist and DeepLearning/AI Engineer at IBM Watson IoT and as IBM Certified Senior Architect he helps clients worldwide to solve their data analysis challenges.
He holds an M. Sc. (ETH) in Computer Science with specialisation in Information Systems, Bioinformatics and Applied Statistics from the Swiss Federal Institute of Technology Zurich.
He works as an Associate Professor for artificial intelligence at a Swiss University and his current research focus is on cloud-scale machine learning and deep learning using open source technologies including R, Apache Spark, Apache SystemML, Apache Flink, DeepLearning4J and TensorFlow.
He also contributes to various open source projects. He regularly speaks at international conferences including significant publications in the area of data mining, machine learning and Blockchain technologies.
As a course instructor he teaches data science using ApacheSpark on coursera:
Recently his latest book on Mastering Apache Spark V2.X has been published: http://amzn.to/2vUHkGl
Romeo Kienzler is a member of the IBM Technical Expert Council and the IBM Academy of Technology - IBM’s leading brain trusts. #ibmaot
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This coursera online course can be completed in four weeks. But I've seen folks completing it in one day only. It teaches you basics on ApacheSpark, statistical measures and visualization (highly recommended)
This is a video course I've created in order to learn common disciplines in DataMining, like Association Rule Mining, Classification, Clustering and Dimensionality Reduction with PCA, although PCA is covered in the coursera course as well (optional)
While the coursera course teaches you the basics of ApacheSpark, this book will make an expert out of you. The following topics are covered in the first eight chapters: ApacheSpark internals, SparkSQL, Streaming, Machine Learning (recommended)