Pandas for Data Science | Pandas for Data Analytics | Complete Tutorial
Welcome to our video tutorial on pandas for data science! In this comprehensive guide, we will explore how to leverage the power of pandas, a Python library, to enhance your data analytics skills and dive deeper into the world of data science.
We will guide you through the fundamentals of working with Pandas and demonstrate how to unleash its full potential in your data science projects.
Whether you're new to data science or looking to deepen your understanding of Pandas, this tutorial is designed to equip you with the essential skills to manipulate, analyze, and visualize data using Python's most popular data manipulation library that is Pandas.
Throughout the tutorial, we will cover the following key topics:
Introduction to Pandas: Understand the role of Pandas in data science and learn why it's a must-have tool for any data analyst or scientist.
Dataframe Basics: Explore the core functionalities of Pandas Dataframe, including how to create, inspect, and manipulate data in this powerful tabular structure.
Loading Data: Learn how to efficiently load data from CSV and Excel files into Pandas Dataframes, enabling you to seamlessly integrate external datasets into your analysis.
Slicing and Indexing Dataframes: Discover various techniques for slicing and indexing data within Dataframes, allowing you to extract specific subsets of data based on your analysis requirements.
Data Manipulation: Dive into advanced Dataframe functionalities, such as performing queries on the data, grouping data using GroupBy operations, and transforming data using pivoting and melting techniques.
By the end of this tutorial, you'll have a solid foundation in Pandas, enabling you to handle various real-world data analysis scenarios with confidence. Join us on this exciting journey as we unlock the potential of Python and Pandas for data science and data analytics!
So, what are you waiting for? Get ready to embark on an enriching learning experience that will empower you to excel in the world of data science!
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📚Course Contents 📚
⌚ (00:00) Intro
⌚ (04:26) Pandas Dataframes in Python
⌚ (25:25) Slicing and Indexing in Dataframes (iloc and loc)
⌚ (46:47) Add Columns in Dataframes
⌚ (49:56) Drop Columns in Dataframes
⌚ (57:33) Quary Datafarmes
⌚ (01:08:39) Grouping in Dataframes
⌚ (01:16:42) Pivoting
⌚ (01:20:22) Melting
📙Jupyter Notebook
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