PANDAS in Python | Python for Beginners | Module 06
https://bit.ly/3Ff5Esb Want to analyze, clean, and manipulate data effortlessly? Pandas is the most powerful Python library for data analysis and manipulation. In this video, we'll cover Pandas basics, essential functions, and real-world applications to help you work with structured data like a pro!
Timestamp ⏱️
00:00 - Intro
01:30 - Introduction to Pandas
07:58 - Creating a DataFrame using Pandas
15:00 - Different Functions You Can Utilize with Pandas in Python
37:50 - Data Manipulation Operation in Pandas
48:50 - DataFrame Sorting
58:09 - Joins in Python
1:09:16 - How to Create and Use Pivot Tables in Python with Pandas
1:14:40 - How Group By Function Works
📌 What You'll Learn:
1️⃣ Introduction to Pandas in Python
📌 What is Pandas? – The foundation of data manipulation and analysis in Python.
📌 Why Use Pandas? – Learn how Pandas simplifies data handling, cleaning, and transformation.
2️⃣ Understanding Pandas Data Structures
📌 Series & DataFrames – The two core data structures in Pandas.
📌 Loading & Reading Data – Importing CSV, Excel, JSON, and SQL files into Pandas.
📌 Filtering & Selecting Data – How to efficiently access and manipulate data in DataFrames.
📌 Handling Missing Data – Using dropna(), fillna(), and interpolate() for data cleaning.
3️⃣ Data Manipulation & Advanced Pandas Techniques
📌 Sorting & Grouping Data – Using .sort_values() and .groupby() for data aggregation.
📌 Merging & Joining DataFrames – Combining datasets using merge, join, and concat functions.
📌 Applying Functions with apply() & map() – Transforming data using built-in and custom functions.
📌 Time Series Analysis in Pandas – Handling dates, timestamps, and financial data.
4️⃣ Real-World Applications of Pandas
📌 Data Analysis & Visualization – Using Pandas with Matplotlib & Seaborn for insights.
📌 Financial & Stock Market Analysis – Working with time-series data and trends.
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📖 Books to Read on Pandas & Data Analysis:
📚 Python for Data Analysis – Wes McKinney
📚 Data Science for Business – Foster Provost & Tom Fawcett
📚 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow – Aurélien Géron
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