Please note: This course is delivered by accredited Hortonworks instructors. The syllabus includes specific use cases and examples to help illustrate and reinforce the theory and the functionality of the technology being explored. Where possible, the instructor will provide further examples and answer questions relevant to an individual delegates specific application of the technology. However, due to the complexity of the technology and the breadth of application across industries, this may not always be possible in the classroom environment.
This course Provides instruction on the processes and practice of data science, including machine learning and natural language processing. Included are: tools and programming languages (Python, IPython, Mahout, Pig, NumPy, pandas, SciPy, Scikitlearn), the Natural Language Toolkit (NLTK), and Spark MLlib.
Architects, software developers, analysts and data scientists who need to apply data science and machine learning on Hadoop.