Data is the lifeblood of science. If you don’t understand how data analyses a real-world setting then the chances are you are going to make serious mistakes.
At AIM, you can study anywhere, anytime, and excel because the course is fully scheduled.
Here we learn how to spot and avoid data science mistakes, how to be a data science pro, why data scientists are different, and how to make some of the common mistakes. By the end of the three weeks, you will be a professional data scientist that you can rely on and your confidence will grow.
In the past two decades, a large number of people have had success in being data scientists. In many cases, however, this is only the beginning. In each class, we learn to make the data scientist move through the necessary steps, take proper data safety measures, learn to analyze data effectively, and stay in the know.
Data Scientist 101 is a 2-week practical course on the basics of data science. This course covers in detail the fundamentals of statistics and how to interpret data. You’ll learn how to conduct data mining as well as how to properly interpret complex data. You’ll even learn how to analyze and visualize data. We cover basic concepts of statistics and how to draw accurate conclusions from the data, and you’ll learn about how to avoid common mistakes made by data scientists.
Data is a great tool that can give you a wealth of information to tackle the work that can help you achieve your goals. However, when it comes to data visualization, it is important to know how to make a solid choice between the two. In this blog, we will share our thoughts and opinion on this matter.