Quick and expressive data analysis requires good tools and knowledge of them. In this course, you'll explore the world of data science by learning core Pandas functionalities, including its IO capabilities, plotting methods, and DataFrames.
As an individual working with data, from business analysts to data scientists, you desire a quick feedback loop that enables you to materialize and easily visualize your ideas. Time spent on developing and debugging programs or clicking around spreadsheets is often wasted. In this course, Pandas Fundamentals, you'll learn how to quickly read the data, perform desired analysis, and output it in a neat format along with pleasant plots. First, you'll explore data input and output. Next, you'll discover how to index and filter your data. Finally, you'll delve into how to work with groups, along with creating plots. After finishing this course, you'll have the necessary knowledge to manipulate data in basic forms, and be able to utilize your time more efficiently when figuring out how to transform your data to reach the desired effect. Software required: Anaconda Python.
As an individual working with data, from business analysts to data scientists, you desire a quick feedback loop that enables you to materialize and easily visualize your ideas. Time spent on developing and debugging programs or clicking around spreadsheets is often wasted. In this course, Pandas Fundamentals, you'll learn how to quickly read the data, perform desired analysis, and output it in a neat format along with pleasant plots. First, you'll explore data input and output. Next, you'll discover how to index and filter your data. Finally, you'll delve into how to work with groups, along with creating plots. After finishing this course, you'll have the necessary knowledge to manipulate data in basic forms, and be able to utilize your time more efficiently when figuring out how to transform your data to reach the desired effect. Software required: Anaconda Python.
