Data Science Certification  | Agilitics

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Data Science Certification 

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Description

No. of Days: 4

Overview

 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.

 

Duration           

3 days

 

Course Objectives

 

• Recognize use cases for data science on Hadoop

• Describe the Hadoop and YARN architecture

• Describe supervised and unsupervised learning differences

• Use Mahout to run a machine learning algorithm on Hadoop

• Describe the data science life cycle

• Use Pig to transform and prepare data on Hadoop

• Write a Python script

• Describe options for running Python code on a Hadoop cluster

• Write a Pig User-Defined Function in Python

• Use Pig streaming on Hadoop with a Python script

• Use machine learning algorithms

• Describe use cases for Natural Language Processing (NLP)

• Use the Natural Language Toolkit (NLTK)

• Describe the components of a Spark application

• Write a Spark application in Python

• Run machine learning algorithms using Spark MLlib

• Take data science into production

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