Data Analysis with Python & Pandas
Data Analysis with Python & Pandas. Learn Python for data analysis and visualization by analyzing large datasets. Covering Python 3, Pandas, and Seaborn.
The name of this course is Data Analysis with Python & Pandas. The knowledge you will get with this indescribable online course is astonishing. Learn Python for data analysis and visualization by analyzing large datasets. Covering Python 3, Pandas, and Seaborn..
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Ardit Sulce, one of the very best experts in this field.
Description of this course: Data Analysis with Python & Pandas
Course Description This Python course will get you up and running with using Python for data analysis and visualization. You will learn how to handle, analyze and visualize data in Python by actually completing two big data analysis projects, one demonstrated through videos and another laid out through six exercises. The course assumes you have no prior knowledge of Python, so you also get to learn the basics of Python in the first two sections of the course. However, if you already know Python, the first two sections can serve as a refresher before you jump into the data analysis and visualization part. In the course you will learn to use Python third-party data analysis libraries such as Pandas, Matplotlib, Seaborn, just to mention a few and tools to boost your productivity such as Spyder and Jupyter. As you progress through the course, you will be guided step by step on building a program that uses real world data containing hundreds of files and millions of records. You will learn to write Python code that downloads, extracts, cleans, manipulates, aggregates and visualizes these datasets using Python. Apart from following the video screencasts, you will also be required to write your own Python scripts from scratch for completing a data analysis project on income data.
Requirements of this course: Data Analysis with Python & Pandas
What are the requirements? A working computer (Windows, Mac, or Linux) No prior knowledge of Python is required
What will you learn in this course: Data Analysis with Python & Pandas?
What am I going to get from this course? Build 10 advanced Python scripts which together make up a data analysis and visualization program. Solve six exercises related to processing, analyzing and visualizing US income data with Python. Learn the fundamental blocks of the Python programming language such as variables, datatypes, loops, conditionals, functions and more. Use Python to batch download files from FTP sites, extract, rename and store remote files locally. Import data into Python for analysis and visualization from various sources such as CSV and delimited TXT files. Keep the data organized inside Python in easily manageable pandas dataframes. Merge large datasets taken from various data file formats. Create pivot tables in Python out of large datasets. Perform various operations among data columns and rows. Query data from Python pandas dataframes. Export data from Python into various formats such as TXT, CSV, Excel, HTML and more. Use Python to perform various visualizations such as time series, plots, heatmaps, and more. Create KML Google Earth files out of CSV files.
Target audience of this course: Data Analysis with Python & Pandas
Who is the target audience? Those who come from any technology field that deals with any kind of data. Those who want to leverage the power of the Python programming language for handling data. Those who need to learn Python basics and want to quickly advance their skills by learning how to perform data cleaning, analysis and visualization with Python – all in one single course. Those who want to switch from programming languages such as Java, C, R, Matlab, etc. to Python.