EduVitz - Python for Data Analytics EPY1802

Python is probably the most important language for Data Scientists to learn because of its rich ecosystem. Python's major advantage is its breadth. For example, R can run Machine Learning algorithms on a preprocessed dataset, but Python is much better at processing the data.

Python Course Outline

  Python & Data Structures: Python Language Introduction

• Understand syntax of Python programming language
• Learn basic data structures: Lists and Dictionaries

  Python Language Introduction &Numpy

• Understand syntax of Python programming language
• Conditional Statements, Functions, Exception Handling, Modules
• Writing a standalone Python program
• Introduction to Numpy

Python & Data Structures: Pandas

(Pandas: a powerful Python data analysis toolkit)

• To understand Pandas package for data analysis
• Get familiar with data frames and accompanying functions
• Understand common data manipulation operations in data analytics

Python & Data Structures: Exploratory data analysis

•  Python & Data Structures: Exploratory data analysis -1
•  Python & Data Structures: Exploratory data analysis -2

 Python & Data Structures: Practice Exercise

•  Python & Data Structures: Practice Exercise -1
•  Python & Data Structures: Practice Exercise -2