Data Wrangling with Python

Description

Duration

3 Days

18 CPD hours

This course is intended for

Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context.

Overview

By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently.

In this course you will start with the absolute basics of Python, focusing mainly on data structures. Then you will delve into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python.This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The course will further help you grasp concepts through real-world examples and datasets.

Introduction to Data Structure using Python

Advanced Operations on Built-In Data Structure

Introduction to NumPy, Pandas, and Matplotlib

Deep Dive into Data Wrangling with Python

Get Comfortable with a Different Kind of Data Sources

Learning the Hidden Secrets of Data Wrangling

Advanced Web Scraping and Data Gathering

RDBMS and SQL

Application in real life and Conclusion of course