Data Manipulation with Pandas

Course

Online

Price on request

Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

Learn how to manage and analyze data using Pandas – the open-source library that features high-performance, easy-to-use data structures and data analysis tools for Python. This course focuses on how to read source data, before manipulating it for further analysis.

Within this course, you will learn how to:

Store data in Pandas using DataFrames so it can be later used for analysis
Read information from CSV and Excel files
Select, sort and filter data
Group and Aggregate data

Frameworks and tools covered: Python 3.6, Anaconda 5.2, Pandas 0.23, NumPy 1.15

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Check out what our learners think below:

I love the lectures, concise course objectives, and how they not only teach you enough to get started, but prepare you for the advanced stuff later down the road. 

⭐⭐⭐⭐⭐

– Mihir Patel

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Basic skills with Python and Numpy are required for this course. We recommend that you complete Learn Python Programming by Making a Game and Numpy Matrices and Vectors before completing this course.

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Reviews

This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 2 years

Subjects

  • Access

Course programme

Introduction 2:24


Introduction 2:24



2:24

Pandas DataFrames 12:48


Pandas DataFrames 12:48



12:48

Reading in Data 7:54


Reading in Data 7:54



7:54

Getting to Know Our Data 9:49


Getting to Know Our Data 9:49



9:49

Selecting Data 13:02


Selecting Data 13:02



13:02

Sorting Data 10:33


Sorting Data 10:33



10:33

Filtering Data 11:49


Filtering Data 11:49



11:49

Grouping Data 12:17


Grouping Data 12:17



12:17

Conclusion 1:51


Conclusion 1:51



1:51

Additional information

On-demand, 24/7 access 1.4 hours of video Certificate of completion Source code and PDF notes Closed captions

Data Manipulation with Pandas

Price on request