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5 Data Mining Project Ideas to Build Your Knowledge

Data mining is defined as the practice of analyzing large databases in order to generate new information. Data mining techniques are used in various sectors, including retail, banking, medicine, television and radio. Data mining is an intersection of machine learning (ML) and statistics. Professionals who work in the data mining field look through large volumes of data or

What Is Data Analysis?

Data analysis is everywhere in the world. Governments are using data analysis to monitor the spread of the COVID-19 pandemic. Streaming sites leverage data to recommend new movies for you to watch. Shopping sites use data analysis to identify trends in what you purchase so that they can recommend other items you may want to buy. But you

woman holding a laptop in a data room

What Is Database Management?

Data is a crucial part of modern businesses. Using data, businesses can make more informed decisions about their products. For instance, an e-commerce business can use data on best-selling products to decide what type of product should be released next. Organizations like governments and charities also make extensive use of data. You may find yourself asking: how is

How to Learn Data Science

Data science is an in-demand career for good reason: data is everywhere you look on the Internet, from social media messages to the record of your purchases on e-commerce sites. Data helps businesses make more informed decisions and improve their services. You may be wondering to yourself: how do I learn about data and data science? That is

What is Data Visualization?

Data visualization, a method of presenting data through charts, is everywhere. Governments have used charts to show various data points about the COVID-19 pandemic, while businesses use charts to show sales information, customer growth, and market sizes. By using charts, data can be visible — accessible — to anyone, not just those who have analyzed and prepared that

8 Professional Data Science Tools to Learn

Like any technical job, data science workers have their "tools of the trade", the technologies that are behind most of their work. As you gain experience working in data science, these tools will become second-nature to you. But if you are just getting started with data science, you may wonder to yourself: which tools are worth learning? Which

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