Acumen IT Training, Inc.

PYTHON DATA SCIENCE

PRE-REQUISITES

There are no prerequisites for attending this course. However, a basic understanding of programming would be beneficial.

COURSE OBJECTIVES

  • Broaden your skillset on how Python is deployed for Data Science.
  • Expand your knowledge in Visualization and Web Scrapping with Python
  • Able to analyse linear regression logistics regression
  • Learn how to use Model validation technique and Tensor flow

COURSE OUTLINE

  • Introduction to Python
  • Python History
  • Users of Python
  • Installing Python
  • Installing IDE
  • Datatypes
  • Numbers
  • Sequences
  • File
  • Tuples
  • Dictionaries
  • Statistics
  • Mean
  • Median
  • Standard deviation
  • Variance
  • Descriptive Statistics

Advance Python, Visualization, Web scrapping with Python

  • SciPy with Python
  • NumPy with Python
  • SciPy with Python
  • Python Exception Handling
  • Python Pandas
  • Matplotlib with Python
  • Web scrapping with Python
  • Case Study: Data handing with Python

For FULL COURSE OUTLINE, please contact us.

Please contact us for the schedules and for booking a private class.

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