Data Analytics with Python
Duration:
2 Days (16 Hours)
Class Size:
Maximum 25 participants
Class Type:
Physical Class
Course Overview
This course will let you explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You will review scientific computing with NumPy and visualization with matplotlib.
Who Should Attend?
This course is mostly for Python programmers who want to deal with the Data Analytics.
Course Objectives
The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and Data Frame as the central data structures for data analysis, along with tutorials on how to use functions such as group by, merge, and pivot tables effectively. By the end of this course, participants will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyse
Prerequisites
A basic understanding of Python language.
A basic understanding of Data Analytics will be an added advantage.
Course Modules
Module 1: An Introduction to Data Analysis
Module 2: Introduction to the Python World
Module 3: The NumPy Library
Module 4: The Pandas Library—An Introduction
Module 5: Pandas: Reading and Writing Data
Module 6: Pandas in Depth: Data
Module 7: Data Visualization with matplotlib