In this Python Data Wrangling course, you will learn how to use Python to extract/transform data from various sources, including large database vaults and Excel financial tables.
You will also explore insights into why you should avoid traditional methods of data cleaning, as done in other languages, and take advantage of the specialized functions from NumPy and Pandas.
Python Data Wrangling Training Delivery Methods
In-Person
Online
Python Data Wrangling Training Benefits
Extract and parse data from various sourcesTransform and clean data using Numpy and Pandas
Summarize and visualize data with Matplotlib
Read HTML, XML, and JSON data from internet resources
Search and filter data setsApply Python tools and techniques to process data sets efficiently
Continue learning and face new challenges with after-course one-on-one instructor coaching
Python Data Wrangling Training Outline
Module 1: Introduction to Data Structure Using Python
In this module, you will learn about:
Python for Data Wrangling
Lists, Sets, Strings, Tuples, and Dictionaries
Module 2: Advanced Operations on Built-In Data Structure
Module 3: Introduction to NumPy, Pandas, and Matplotlib
Module 4: Deep Dive into Data Wrangling with Python
Module 5: Getting Comfortable with Different Data Sources
Module 6: Learning the Hidden Secrets of Data Wrangling
Module 7: Advanced Web Scraping and Data Gathering
Module 8: RDBMS and SQL
Module 9: Application in Real Life and Conclusion of Course
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