Back
Information Technology
Data Wrangling with Python
Description
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 analyt
Course Overview
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.
Course Objective
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.
Who Should Attend
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.
No results found.
Introduction to Data Structure using Python
Introduction to Data Structure using Python
Advanced Operations on Built-In Data Structure
Advanced Operations on Built-In Data Structure
Introduction to NumPy, Pandas, and Matplotlib
Introduction to NumPy, Pandas, and Matplotlib
Deep Dive into Data Wrangling with Python
Deep Dive into Data Wrangling with Python
Get Comfortable with a Different Kind of Data Sources
Get Comfortable with a Different Kind of Data Sources
Learning the Hidden Secrets of Data Wrangling
Learning the Hidden Secrets of Data Wrangling
Advanced Web Scraping and Data Gathering
Advanced Web Scraping and Data Gathering
RDBMS and SQL
RDBMS and SQL
Application in real life and Conclusion of course
Application in real life and Conclusion of course
Course(s) added to the cart
