Data Analysis with Python
In this course, you will learn how to analyze data using Python. During this course, you will learn starting from the basics of Python to exploring different types of data. You will also learn, how to load data from different sources such as CSVs.
You will also learn how to prepare data for analysis, perform statistical data analysis, and create meaningful data visualization. You will learn libraries such as Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
We will start with the installation of Python using Anaconda distribution. You will learn how to use Spyder, iPython, and Jupyter notebook.
We will cover the fundamentals of Python that are critical for data analysis and machine learning projects. You will learn NumPy which includes multidimensional arrays with broadcasting capabilities, mathematical functions, linear algebra functionalities, and tools to read and write array data to disk.
You will also learn pandas library that includes series, DataFrame, Indexing, summarizing, and computing descriptive statistics.