Skill

Data Structures with Pandas

September 2018 with Ben Finkel

The labs for this skill have been deprecated. However, this skill still retains value as a training resource.

In this module, trainer Ben Finkel teaches you intermediate-level programming topics using the Python programming language. Follow along as you learn to use NumPy to support and operate on large arrays, and gain an understanding of Pandas data structures and data analysis tools.

Recommended Experience

Completion of the Python Programming course or equivalent knowledge

Recommended Equipment

None

Related Certifications

None

Related Job Functions

Web developer
Software engineer
Programmer/analyst

Ben Finkel has been a CBT Nuggets trainer since 2014. His areas of expertise include Google Developer Expert, Google Certified Trainer, Microsoft ASP.NET (WebForms and MVC), Data Analysis and Design, Relational Database Architecture, MS SQL Server, Microsoft C#.NET, Javascript, jQuery, Microsoft Visual Basic .NET & 6.0, .NET Reporting Services, MS Access, and Python.

Ben Finkel — Ben Finkel
Trainer

Videos in this skill

1. Data Structures: Intro to NumPy (6:05)
2. Data Structures: NumPy Arrays (7:20)
3. Data Structures: 2D NumPy Arrays (5:03)
4. Data Structures: Intro to Pandas (6:17)
5. Data Structures: Pandas Series (6:54)
6. Data Structures: Pandas DataFrames (6:34)
7. Data Structures: Pandas Basic Functionality (5:55)
8. Data Structures: Pandas Import from .csv (5:35)
9. Data Structures: Importing Real Data with Pandas Lab (6:11)
10. Using Pandas Data: Descriptive Statistics (5:36)
11. Using Pandas Data: Iteration (6:48)
12. Using Pandas Data: Sorting (4:07)
13. Using Pandas Data: Covariance and Correlation (3:16)
14. Using Pandas Data: Aggregations (5:53)
15. Using Pandas Data: Grouping (4:13)
16. Using Pandas Data: Merging (5:44)
17. Using Pandas Data: Using Pandas Data Lab (11:33)

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