Pandas For Data Analysis Training - Canada

Who should attend this Pandas for Data Analysis Training Course?

The Pandas for Data Analysis Course aims at equipping delegates with the knowledge and skills to manipulate, analyse, and visualise data using the Pandas library in Python. The following professionals can benefit greatly with this course:

• Data Analysts
• Data Scientists
• Business Analysts
• Researchers
• Statisticians
• Data Engineers
• Machine Learning Engineers

Prerequisites of the Pandas for Data Analysis Training Course

There are no formal prerequisites to attend Pandas for Data Analysis Course. However, a basic knowledge of programming can be beneficial in this Data Analysis Training.

Pandas for Data Analysis Training Course Overview

In the realm of data science, Pandas stands as a beacon of efficiency and versatility. This open-source Python library offers high-performance tools for data analysis and data structure manipulation. With its extensive capabilities, Pandas has become indispensable in various fields, including statistics, economics, and analytics.

Data Scientists, Analysts, Economists, and anyone dealing with data in Python can greatly benefit from mastering this versatile library. Pandas simplifies data manipulation tasks, allowing professionals to clean, transform, and analyse data efficiently. In an era where data quality and speed are essential, Pandas empowers professionals to make informed decisions, extract valuable insights, and drive business success.

Over the course of this intensive 2-day training by the Knowledge Academy, delegates will embark on a comprehensive journey through Pandas and its data structures. They will gain a deep understanding of how to work with various data types, including text, missing, and categorical data, enabling them to handle diverse datasets effectively. Delegates will also explore essential Pandas operations such as merging, joining, concatenating, reshaping, etc.

Course Objectives

• To master Pandas data structures and operations
• To efficiently handle text, missing, and categorical data
• To explore essential Pandas functions for merging, reshaping, and pivot tables
• To acquire data visualisation skills and utilise integrated development environments
• To understand data validation practices and work with extension data types
• To gain proficiency in storing Pandas Data Frame objects in Apache Parquet format

Upon completing this Data Science Course, delegates will benefit from enhanced proficiency in data analysis using Pandas. They will be equipped with the skills to efficiently manipulate diverse datasets, perform essential Pandas operations, and utilise data visualisation techniques.

What’s included in this Pandas for Data Analysis Training Course?

• World-Class Training Sessions from Experienced Instructors 
• Pandas for Data Analysis Certificate 
• Digital Delegate Pack