Data Structures with Pandas Online Training

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Ben Finkel

1:42:54

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1. Data Structures Intro to NumPy.mp4

06:04

2. Data Structures NumPy Arrays.mp4

07:19

3. Data Structures 2D NumPy Arrays.mp4

05:03

4. Data Structures Intro to Pandas.mp4

06:17

5. Data Structures Pandas Series.mp4

06:53

6. Data Structures Pandas DataFrames.mp4

06:33

7. Data Structures Pandas Basic Functionality.mp4

05:54

8. Data Structures Pandas Import from .csv.mp4

05:34

9. Data Structures Importing Real Data with Pandas Lab.mp4

06:10

10. Using Pandas Data Descriptive Statistics.mp4

05:36

11. Using Pandas Data Iteration.mp4

06:47

12. Using Pandas Data Sorting.mp4

04:07

13. Using Pandas Data Covariance and Correlation.mp4

03:15

14. Using Pandas Data Aggregations.mp4

05:53

15. Using Pandas Data Grouping.mp4

04:13

16. Using Pandas Data Merging.mp4

05:44

17. Using Pandas Data Using Pandas Data Lab.mp4

11:32

Description

In this intermediate software development skills training, Ben Finkel prepares learners to use the Python packages NumPy and Pandas to start analyzing data.

If you’re learning Python, Pandas and NumPy are among the first packages you’ll stumble across and find essential. NumPy introduces some powerful calculation libraries to your data analysis, including powerful and dimensional arrays. But you need to combine it with Pandas to be really effective. Pandas is a free open source library of data structure and data analysis tools for Python that builds on NumPy and allows you to do some really powerful data manipulation.

More details

After finishing the videos in this Data Structures with Pandas training, you'll know how to use Python packages like NumPy and Pandas to support and operate on large arrays. In this Python training, you'll gain an understanding of Pandas data structures and data analysis tools.

For anyone who manages data analysts, this software development training can be used to onboard new data analysts, curated into individual or team training plans, or as a software development reference resource.

Data Structures with Pandas: What You Need to Know

For any data analyst looking to improve their proficiency with scripting languages, this software development course covers topics such as:

Navigating data structures with Pandas
Understanding NumPy arrays
Using Pandas series and DataFrames
Importing and processing data with Pandas
Processing data with Pandas
Using descriptive statistics, iteration, and sorting
Understanding covariance and correlations
Managing aggregations, grouping and merging

Who Should Take Data Structures with Pandas Training?

This Python training is entry-level programming training, which means it was designed for new software developers, data analysts, IT professionals, or anyone trying to learn Python.

New or aspiring data analysts. If youâ€™re just starting out in data analysis, youâ€™ve probably encountered a number of different tools and resources for extracting meaning from numbers. Not one of them is as widely used or as powerful as Pandas, and this training can show you exactly why. This training in data structures with Pandas will give you expertise in managing large data sources and the many ways to process and navigate them.

Experienced data analysts. Pandas is probably the single most used tool for extracting meaning from huge amounts of data, and if youâ€™re a data analyst, you should be using it. If youâ€™re a data analyst with several years of experience and you deal with large amounts of data, but youâ€™re not proficient in using Pandas to sift through that data and make meaning of it, this training in data structures with Pandas will make your life a lot better and your job much more enjoyable.

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Python

Data Science

Pandas

Ben Finkel

Instructor's Courses

"The best part about being a trainer is learning all of these great new technologies, and working with a community of people who are all passionate about learning, and just generally being a part of a culture that values learning the way I do. I love sitting down and working through an involved or complex topic so that I can competently speak about it on screen."

Ben Finkel has worked in software development since 1996. Before joining CBT Nuggets, he was a software engineer at M&T Bank in Buffalo, New York. He is a Google Certified Trainer. When he’s not creating CBT Nuggets training videos, Ben enjoys skiing, snowboarding, reading, and home brewing beer and cider. He also considers himself a hobbyist programmer and likes learning new development technologies.

Certifications: Google, Microsoft

Areas of expertise: 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, Python

CBT Nuggets

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