Data Manipulation with Python

Pandas is the most popular Python library and it's used for data manipulation. This course will show you how to manipulate DataFrames. This course will teach you how to extract, filter, and transform real data for analysis. Pandas will teach you the basics of data science. To learn how to clean up, calculate, import, and visualize statistics using pandas, you will be using real-world data like global temperature time series or Walmart sales figures. This will allow you to improve the power of Python.

A Data Scientist should be able work with multiple data sets. Pandas are a crucial component of the Python data scientist ecosystem. There are 5 million pandas questions on Stack Overflow. Pandas will teach you how to combine, organise, join and reshape multiple DataFrames. You will be using datasets from the World Bank as well as the City Of Chicago. This course will provide a solid foundation for data-joining using pandas.

Once you have mastered the basics of pandas you can use your knowledge to answer questions about real data. The Stanford Open Policing Project dataset and its effects on police behavior will be examined. This will give you more experience in cleaning up data, creating visualizations, and manipulating time series data. Analyzing police activity using pandas will provide valuable experience in data analysis from start to finish. This will help you prepare for your data science career.

This course will cover the basics of Python and SQL. Because databases are everywhere, analysts, data scientists, engineers, and others need to interact with them constantly, this course will teach you the basics of SQL and Python. SQLAlchemy is a Python SQL toolkit SQLAlchemy that makes it easy query, build, and write to databases like SQLite and MySQL.

Data in real life is messy. Pandas libraries are valuable because they make it easy to organize data. Pandas makes data manipulation easy by allowing you to extract, filter, and transform data in DataFrames. This allows for fast and reliable data analysis. This is the right track to help you improve your data wrangling abilities. As you learn to use pandas to create multiple DataFrames, you will also be able to analyze real-world data. Additionally, you will get hands-on experience in creating visualizations, merging, and combining data. You'll use your newly acquired data manipulation skills to analyze how weather and gender affect police behavior at the end of this track. This track will teach you how to save time when manipulating data with pandas.