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Python Fundamentals

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Course Features

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Duration

5.5 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

5.5 hours

Course Description

Python is the most popular programming language used for data science and is a must-know to start or advance your career in data. In this course, you will learn the most fundamental skills to write and execute Python code. We will have an overview of the basic Python concepts, which will enable you to get started with a data science project! You will see how to load, clean, analyze, and transform data with two popular Python packages: Numpy and Pandas. Then, we will demonstrate how to effectively communicate the key insights from your analysis by visualizing your data using the Matplotlib and Seaborn packages. Finally, you’ll combine these skills and put your new knowledge into practice by analyzing financial data through a case study.

Course Overview

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Personlized Teaching

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Write and execute Python code to create variables, generate outputs, apply various operators, and manipulate different types of data

Capture and transform data using Numpy and Pandas packages

Explore data through different statistical methods to gain a deeper understanding

Visualize data to share insights using the Matplotlib and Seaborn packages

Target Students

Anyone who would like to build up their programming skills and use Python for data science to analyze data.

Anyone who desires to begin or further their career in data analysis, quantitative analysis, business intelligence, or other areas of business and finance.

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