Analyzing Social Media Data in Python

Media and Communication

Short Description

In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Long Description

Twitter is a platform that generates an overwhelming number of messages daily, covering a wide range of topics such as sports, politics, business, and entertainment. Within minutes, you can access a vast amount of these messages. This course aims to equip you with the skills to effectively collect and analyze Twitter data, including tweet text, Twitter networks, and the geographical origin of tweets. Through the use of datasets focused on tech companies, data science hashtags, and the 2018 State of the Union address, you will learn how to extract valuable insights. By employing these methods, you will be able to contribute to informed decision-making in both business and political contexts. This includes identifying the prevalence of important topics, understanding the diversity of discussion networks, and assessing the geographical reach of specific subjects.

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Course Details

Duration: 4 hours
Format: Short Course
Price: USD39.00
Course Link

DataCamp

DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.

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