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.

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* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

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.

1

  • Introduction to Data Structure using Python

  • Python for Data Wrangling
    Lists, Sets, Strings, Tuples, and Dictionaries
2

  • Advanced Operations on Built-In Data Structure

  • Advanced Data Structures
    Basic File Operations in Python
3

  • Introduction to NumPy, Pandas, and Matplotlib

  • NumPy Arrays
    Pandas DataFrames
    Statistics and Visualization with NumPy and Pandas
    Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame
4

  • Deep Dive into Data Wrangling with Python

  • Subsetting, Filtering, and Grouping
    Detecting Outliers and Handling Missing Values
    Concatenating, Merging, and Joining
    Useful Methods of Pandas
5

  • Get Comfortable with a Different Kind of Data Sources

  • Reading Data from Different Text-Based (and Non-Text-Based) Sources
    Introduction to BeautifulSoup4 and Web Page Parsing
6

  • Learning the Hidden Secrets of Data Wrangling

  • Advanced List Comprehension and the zip Function
    Data Formatting
7

  • Advanced Web Scraping and Data Gathering

  • Basics of Web Scraping and BeautifulSoup libraries
    Reading Data from XML
8

  • RDBMS and SQL

  • Refresher of RDBMS and SQL
    Using an RDBMS (MySQL/PostgreSQL/SQLite)
9

  • Application in real life and Conclusion of course

  • Applying Your Knowledge to a Real-life Data Wrangling Task
    An Extension to Data Wrangling

Audience

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.

Language

English

Prerequisites

While there are no prerequisites for this course, please ensure you have the right level of experience to be successful in this training.

$1,785

Length: 3.0 days (24 hours)

Level:

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Course Schedule:

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16
Oct
Monday
9:00 AM ET -
5:00 PM ET
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