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 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.
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.
- Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
- Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
- Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
- Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
- Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
- Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.
Course Prerequisites
There are no prerequisites for this course.
Agenda
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