Time Management Fundamentals
Learn the fundamentals of time management with this course! It covers 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 US government resources, 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. It also goes over data search engines, web services, and even language resources like Google Books' Ngram Viewer. After completing this course, you'll be better equipped to locate the information you need for your scholarship and data analysis efforts. ▼
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Course Feature
Cost:
Paid
Provider:
LinkedIn Learning
Certificate:
No Information
Language:
English
Start Date:
Self Paced
Course Overview
❗The content presented here is sourced directly from LinkedIn Learning platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [June 30th, 2023]
This course, Time Management Fundamentals, 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]
Upon completion of this course, learners can apply the knowledge gained to locate and analyze data from a variety of sources. Learners can use the data to inform their research and scholarship efforts, as well as to gain insights into business, education, and health issues. Additionally, learners can use the data to create visualizations and reports to better understand the data and communicate their findings.
[Career Paths]
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 inform decisions and strategies for businesses and organizations. Data Analysts must have strong analytical and problem-solving skills, as well as the ability to interpret data and communicate their findings. They must also be proficient in using data analysis software and tools.
The development trend for Data Analysts is that they are increasingly in demand as businesses and organizations rely more and more on data-driven decision making. Data Analysts must stay up to date with the latest technologies and trends in data analysis, and be able to use them to their advantage. Additionally, Data Analysts must be able to work with a variety of stakeholders, from executives to engineers, to ensure that their data analysis is accurate and useful.
[Education Paths]
The recommended educational path for learners who have completed this course is to pursue a degree in Data Science. Data Science is a rapidly growing field that combines mathematics, statistics, computer science, and other disciplines to analyze and interpret large datasets. It is used to uncover insights, make predictions, and develop solutions to complex problems.
A Data Science degree typically includes courses in mathematics, statistics, computer science, and other related fields. Students will learn how to use data to solve problems, develop algorithms, and create models. They will also learn how to use data visualization tools to present their findings.
The development trend of Data Science is towards more advanced techniques and tools. As data sets become larger and more complex, the need for more sophisticated methods of analysis and interpretation increases. Data Science is also becoming increasingly important in the business world, as companies use data to make decisions and develop strategies. As a result, the demand for Data Science professionals is expected to continue to grow.
Course Syllabus
Introduction
Using the exercise files
Microsoft Office option
Course Provider
Provider LinkedIn Learning's Stats at AZClass
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