Last Updated on February 9, 2024 by GeeksGod
Course : Complete Pandas for Absolute Beginners 2023
Free Udemy Coupon – Pandas Data Analysis
This course is designed for individuals with little or no experience with the Pandas library for Python. Pandas is a powerful and flexible open-source data analysis and manipulation tool that is widely used in data science and data analysis. This course will provide a comprehensive introduction to the library, starting with basic concepts and gradually building up to more advanced topics.
The course will begin by introducing the basics of Pandas, including its data structures (Series and DataFrames) and the various ways to import and export data. You will learn how to perform basic data cleaning and preprocessing tasks, including handling missing values, renaming columns, and filtering and sorting data. You will also learn how to use Pandas to perform basic statistical operations and data visualization.
As the course progresses, you will dive deeper into more advanced topics, such as merging and joining data, groupby operations, and advanced indexing techniques. You will also learn how to use Pandas to work with time series data, including how to handle and manipulate date and time data.
Throughout the course, you will work with real-world data sets, giving you hands-on experience with the tools and techniques covered. You will also complete a number of practical exercises and projects, allowing you to apply what you’ve learned to real-world problems.
By the end of this course, you will have a solid understanding of the Pandas library and be able to use it confidently to perform data analysis and manipulation tasks. Whether you’re a beginner looking to start a career in data science or an experienced data analyst looking to improve your skills, this course is the perfect starting point.
Prerequisites: This course is designed for absolute beginners, and it will be helpful if you have basic knowledge of Python programming.
Course Outline:
Introduction to Pandas
Pandas is a Python library that provides high-performance data structures and data analysis tools. In this section, you will learn the fundamentals of Pandas and its data structures, including Series and DataFrames. You will also learn how to import and export data using Pandas.
Pandas Dataframes and Series
DataFrames and Series are two primary data structures in Pandas. In this section, you will learn how to create and manipulate DataFrames and Series. You will also learn how to perform operations on columns and rows.
Indexes in Pandas
Indexes play a crucial role in Pandas as they enable efficient data selection and filtration. In this section, you will learn about indexes in Pandas and how to use them effectively for data analysis and manipulation.
Conditional Filtering in Pandas
Conditional filtering allows you to select and filter data based on certain conditions. In this section, you will learn how to use conditional filtering in Pandas to extract specific subsets of data.
Update Rows and Columns in Pandas
Updating rows and columns is a common task in data analysis. In this section, you will learn how to update rows and columns in Pandas DataFrames using various techniques.
Add/Remove Columns of Data
Adding and removing columns is an essential operation in data analysis. In this section, you will learn how to add and remove columns of data in Pandas DataFrames.
Master Data Sorting in Pandas
Sorting data is often necessary to analyze and understand the underlying patterns. In this section, you will learn how to sort data in Pandas DataFrames based on one or more columns.
Clean & Save DataFrames
Before conducting any analysis, it’s crucial to clean the data and save it for future use. In this section, you will learn how to clean and save Pandas DataFrames.
By the end of this course, you will be able to:
- Understand the basics of the Pandas library and its data structures
- Import and export data using Pandas
- Perform basic data cleaning and preprocessing tasks
- Use Pandas to perform basic statistical operations and data visualization
- Merge and join data using Pandas
- Use the groupby function in Pandas
- Apply advanced indexing techniques in Pandas
- Work with time series data using Pandas
- Apply your knowledge to real-world projects
Don’t miss out on this fantastic opportunity to learn Pandas data analysis for free. Enroll now using the free Udemy coupon – “Free Udemy Coupon, Pandas Data Analysis” and kickstart your career in data science today!
