Product ID: OC-2024-C2UZQ
Master Data Analysis with Python
In this course, you will be introduced to the DataFrame and the Series, the two primary containers of data within pandas. You will learn the components of these objects and a few basic operations and also know what subset selection methods you should
Overview
In this course, you will be introduced to the DataFrame and the Series, the two primary containers of data within pandas. You will learn the components of these objects and a few basic operations and also know what methods of subset selection you should avoid.
You will begin performing calculations on your data. You will begin by learning how to operate on a single column of data, a pandas Series and learn the difference between methods that aggregate (return a single value) and those that do not. After learning how to operate on a single column of data, you'll learn how to operate on multiple columns at the same time by calling methods on a DataFrame. You'll learn how to change the direction of the operations from vertical to horizontal.
You'll also learn about the categorical data type, which is unique to pandas and has the ability to save a tremendous amount of memory. Up to this point in the course, all operations were applied to the entire dataset. You will learn how to apply operations to independent groups within your data instead of the whole. You will also learn how to display the results of grouping in a more human-readable way with pivot tables.
Grouping data can be tricky in pandas and potentially be one of the slowest performing operations. You will learn best practices on how to optimize performance along with the newest syntax available.
Skills you'll gain
Data AnalysisData SciencePandasPandas DataFramePython
What you'll learn
- Introduction to the pandas DataFrame and Series
- Understanding the different data types available within a DataFrame
- Accessing the DataFrame components – the index, columns, and values
- Setting a meaningful index in a DataFrame
- Completing a five-step process for data exploration
- Learn how to select rows and columns simultaneously
Who Should Attend
Prerequisites
- Anyone, who wants to learn about fundamental concepts of programming.
- Anyone, who wants to learn python programming language.
- Anyone, who wants to brush up on their programming and python skills.
- It is necessary to understand the fundamentals of the Python programming language.
- No prior experience with pandas is needed.
Chapters
Explore a structured set of chapters designed to build your skills step by step, with practical examples and hands-on applications.
Meet your instructors
Theodore Petrou
View my channelFrequently Asked Questions
How much do the courses at Starweaver cost?
We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.
Do you offer any certifications upon completion of a course at Starweaver?
Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.
Does Starweaver offer any free courses or trials?
Related Modules
Product ID: OC-2024-C2UZQ
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10 hours of video content
Downloadable resources
Certificate of completion
Desktop and Mobile access
Theodore Petrou