As part of our Professional Certificate Program in Data Science, this course covers the basics of data visualization and exploratory data analysis. We will start with simple datasets and then graduate to case studies about world health, economics, and infectious disease trends in the United States. We’ll also be looking at how mistakes, biases, systematic errors, and other unexpected problems often lead to data that should be handled with care. The fact that it can be difficult or impossible to notice a mistake within a dataset makes data visualization particularly important - data science and data analytics course.

The growing availability of informative datasets and software tools has led to increased reliance on data visualizations across many areas. Data visualization provides a powerful way to communicate data-driven findings, motivate analyses, and detect flaws. This course will give you the skills you need to leverage data to reveal valuable insights and advance your career. You will learn the R skills needed to answer essential questions about differences in crime across the different states - data science institute.

We’ll cover R's functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You’ll learn how to apply general programming features like “if-else,” and “for loop” commands, and how to wrangle, analyze and visualize data. Rather than covering every R skill you might need, you’ll build a strong foundation to prepare you for the more in-depth courses later in the series, where we cover concepts like probability, inference, regression, and machine learning. We help you develop a skill set that includes R programming, data wrangling with dplyr, data visualization.

The demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges. A typical data analysis project may involve several parts, each including several data files and different scripts with code. Keeping all this organized can be challenging. Finally, you will learn to write reports in R markdown which permits you to incorporate text and code into a document. We'll put it all together using the powerful integrated desktop environment. For more information, please visit our site https://eagletflysolutions.com/