Python for Data Science Certification Training Course
Overview

The Data Science with Python course will furnish you with in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning and natural language processing using Python.
Python has surpassed Java as the top language used to introduce US students to programming and computer science, and 46 percent of data science jobs list Python as a required skill.

Course Content/Exam(s)
Course Code Description Exam Code
EL-PDS  Data-Science-with-Python-PDF.pdf
Course Benefits
  • Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics
  • Install the required Python environment and other auxiliary tools and libraries
  • Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
  • Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
  • Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave
  • Perform data analysis and manipulation using data structures and tools provided in the Pandas package
  • Gain expertise in machine learning using the Scikit-Learn package
  • Gain an in-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline
  • Use the Scikit-Learn package for natural language processing
  • Use the matplotlib library of Python for data visualization
  • Extract useful data from websites by performing web scrapping using Python
  • Integrate Python with Hadoop, Spark and MapReduce

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