Information Technology
Hands on Training icon
Hands On Training
Hands on Training icon

Python Packages: NumPy and Pandas Dataframe

Course Cover
compare button icon

Course Features

icon

Duration

4 weeks

icon

Delivery Method

Online

icon

Available on

Lifetime Access

icon

Accessibility

Mobile, Desktop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Effort

4 hours per week

icon

Teaching Type

Self Paced

Course Description

This informative course was created in collaboration avec Github. It will help you to understand data analysis and learn more about Python programming.

After an introduction to Python basics, this course will make you more confident in using Python.

You will gain confidence in using Module, Packages and Libraries, and Python's Date Time data, Numpy and Pandas package.

In order to further analyze the data, you will practice ingestion from different data sources and data types using Python. This can be made faster and easier by adding Python programming to your existing skills. You will gain efficiency and new ways of manipulating the data.

You will be able demonstrate how Python functions can be used in different ways by the end of this course.

Course Overview

projects-img

Alumni Network

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Describe what Modules, Packages and Libraries are in Python

Use Date Time data in Python

Use the Numpy and Pandas packages of Python

Demonstrate data ingestion using Python and various data types and data sources

Target Students

Business analysts or junior data analysts looking to develop advanced data analytics skills and programming capabilities to progress their careers in data analytics

Those with existing programming capabilities looking to enter the data analytics field

Individuals lacking the programming capabilities to conduct more advanced data analysis and modelling

Course Instructors

Author Image

Ed Marks

Instructor

I truly believe that leveraging the correct technologies in the appropriate way can take us towards a more sustainable economy. My focus is on converging M&E Engineering with Data Science-Analysis.
Course Cover