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Data analytics is the process of collecting, organizing, analyzing, and communicating data to generate insights and inform decisions. Data analytics is a valuable skill for many fields and industries, such as business, healthcare, education, and research. However, learning data analytics can be challenging and expensive, especially if you want to enroll in a university course. Fortunately, there are some free online courses that teach data analytics from reputable universities, and you can access them anytime and anywhere.
1. Introduction to Data Analytics, offered by IBM (Coursera): This course is part of the IBM Data Analyst Professional Certificate, but you can audit it for free. It covers the basics of data analytics, such as data types, data structures, data sources, data quality, data analysis methods, and data visualization tools.
2. Data Science for Everyone, offered by DataCamp: This course is part of the Data Science for Everyone track, but you can access the first chapter for free. It introduces the concepts and applications of data science, such as data collection, data manipulation, data exploration, data modeling, and data communication.
3. Online Data Science Courses, offered by Harvard University: These are a collection of free online courses on various topics related to data science, such as statistics, probability, inference, regression, machine learning, and data visualization. You can choose from different formats and levels, such as self-paced, instructor-led, introductory, intermediate, or advanced.
4. Learn to Code for Data Analysis, offered by The Open University (OpenLearn): This course teaches you how to use Python to analyze data from different sources, such as web pages, APIs, and databases. You will learn how to use libraries such as pandas, numpy, and matplotlib to manipulate, analyze, and visualize data.
5. Data Analysis with Python, offered by FreeCodeCamp: This course is part of the Data Analysis with Python Certification, but you can access it for free. It teaches you how to use Python to perform data analysis tasks, such as data cleaning, data manipulation, data exploration, data visualization, and data modeling.
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