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Updated in [June 30th, 2023]

This course, Building Modern Projects with React, provides an overview of how to find free, public data sources on a wide range of business, education, and health issues, and how to download the data for your own analysis. It introduces a number of US government resources, ranging from the US Census Bureau to the US Patent and Trademark Office, and surveys datasets from international organisations such as the World Bank and the United Nations. The course also goes over data search engines, web services, and even language resources like Google Books' Ngram Viewer. Upon completion of this course, students will be better equipped to locate the information they require for their scholarship and data analysis efforts.

[Applications]
After completing this course, students can apply their knowledge to build modern projects with React. They can use the data sources they have learned about to create data-driven applications. Additionally, they can use the language resources to create applications that can process natural language. Finally, they can use the web services to create applications that can interact with other web services.

[Career Path]
One job position path that could be recommended to learners of this course is a Data Analyst. A Data Analyst is responsible for collecting, organizing, and analyzing data to identify trends and patterns. They use this data to create reports and make recommendations to their organization. They must be able to interpret data and communicate their findings to stakeholders.

The development trend for Data Analysts is to become more specialized in their field. As data becomes more complex and organizations become more reliant on data-driven decisions, Data Analysts must be able to understand and interpret more complex data sets. They must also be able to use more sophisticated tools and techniques to analyze data. Additionally, Data Analysts must be able to communicate their findings in a clear and concise manner to stakeholders.

[Education Path]
The recommended educational path for learners of this course is to pursue a degree in Data Science. Data Science is a field of study that combines mathematics, statistics, computer science, and domain knowledge to extract insights from data. It involves the use of algorithms, machine learning, and artificial intelligence to analyze large datasets and uncover patterns and trends.

Data Science degrees typically include courses in mathematics, statistics, computer science, and domain knowledge. Students will learn how to use data to solve real-world problems and develop skills in data analysis, data visualization, and machine learning. They will also learn how to use various tools and technologies to collect, store, and analyze data.

The development trend of Data Science degrees is to focus on the application of data science in various industries. This includes the use of data science to improve decision-making in business, healthcare, education, and other fields. Data Science degrees are also becoming more specialized, with courses focusing on specific areas such as healthcare data science, financial data science, and social media data science. As the demand for data scientists continues to grow, more universities are offering specialized degrees in data science.

Course Syllabus

Introduction

React: Going from good to great

What you should know

Installing necessary software

Exercise files

What this course covers