Reading Data course. In this course, you will learn how to read data from various sources such as surveys, sensors, and machines, and how to use Python tools to clean, aggregate, and visualize it. You’ll also explore the value of data for different use cases and industries. What you’ll learn: Data is everywhere, but how can you make sense of it? In this course, Reading Data, you will gain the basic ability to identify and read data from a variety of sources and take the first steps to clean and efficient data analysis. First, you’ll explore the types of real-world data and the value they bring to different use cases, allowing you to determine what type of data might best suit your use case. Next, you’ll explore common data sources used in various industries (eg: surveys, sensor data, machine-generated data), their strengths and weaknesses, and how to implement them using Pandas with Python. did Next, you’ll implement data aggregation with sqlite3 in Python, which allows you to group and generate summary statistics and trends across multiple data points—a key aspect of data analysis. Finally, you’ll learn how to understand and create impactful visualizations of data to communicate insights from it. After completing this course, you will have the data reading skills and knowledge needed to extract different types of data from different sources and maximize its value through aggregation and visualization, regardless of your use case.
Be the first to comment