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.
Please note: Hortonworks courses are delivered using electronic courseware. for delegates attending remotely (Virtual classes or Attend from Anywhere) you must ensure that you have dual monitors or a single monitor plus tablet device. Dual monitors are required in order to allow you to view labs and lab instructions on separate screens.
This course is for you if you have little or no previous experience with data science, machine learning, or the field of big data, but are keen to learn. You might be a software developer keen to branch out into more analytical tools, a manager of a technical team that you need to understand, or just at the beginning of your technical career. A basic understanding of programming/scripting and experience with the Linux shell will be useful but not essential
Students must have experience with at least one programming or scripting language, knowledge in statistics and/or mathematics, and a basic understanding of big data and Hadoop principles. Students new to Hadoop are encouraged to attend the HDP Overview: Apache Hadoop Essentials course.
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We do not display pricing as Gooroo members qualify for special discounts not available elsewhere. You must enquire through Gooroo to get this benefit.
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