Pandas For Data Analytics - The Right Way




What you'll learn
Understanding the basics of Pandas data structures - Series and DataFrame.
Loading data from various sources such as CSV files, Excel files, databases etc
Techniques for cleaning and preprocessing data, including handling missing values, dealing with outliers, and removing duplicates.
Performing operations like filtering, sorting, grouping, and aggregating data to extract insights.
Working with date and time data, including parsing date strings, converting data types, and performing date-based calculations.
Exploring advanced data analysis techniques such as merging and joining datasets.
Applying Pandas skills to handle real-world datasets in domains such as Sports (Cricket).
Requirements
Fundamentals of Python Programming
Description
Unlock the Power of Data Analysis with 'Pandas Mastery: Transforming Data into Insights with Precision'In today's data-driven world, the ability to effectively analyze and derive insights from data is a crucial skill. Welcome to 'Pandas Mastery,' your gateway to mastering the art of data manipulation and analysis using the Pandas library in Python.This comprehensive course is designed to equip you with the knowledge and techniques needed to unleash the full potential of Pandas for data analytics. Whether you're a beginner eager to dive into the world of data analysis or an experienced professional looking to sharpen your skills, this course offers something for everyone.Through a series of hands-on exercises and real-world examples, you'll learn how to efficiently load, clean, transform, and analyze data using Pandas. From basic data manipulation tasks to advanced techniques for handling dates, you'll gain the confidence to tackle any analytical challenge with ease.But that's not all. 'Pandas Mastery' goes beyond just teaching you how to use Pandas - it empowers you to become a proficient data analyst capable of extracting actionable insights from complex datasets. Whether you're interested in advancing your career, tackling new analytical projects, or simply enhancing your skill set, this course is your roadmap to success in the world of data analytics.Don't miss out on this opportunity to elevate your data analysis skills and unlock a world of possibilities. Enroll in 'Pandas Mastery' today and take the first step towards mastering data analytics the right way.Embark on a learning journey packed with 10 hours worth of enriching content neatly compressed into a captivating 5-hour video series. Unveil a smarter way to learn, saving you precious time equivalent to another 5 hours. Let's dive in and unlock the secrets to efficient learning!We promise that this course will also be an asset for you to make an easy transition into the field of Machine Learning and Artificial Intelligence.Happy Learning!!!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 2. Pandas Series
Lecture 3 3. Pandas DataFrames
Lecture 4 4. Handling missing data
Lecture 5 5. Conditional Selection and Reindexing of a DataFrame
Lecture 6 6. Data Input and Data Output
Lecture 7 7. Data Processing
Lecture 8 8. Grouping and Pivot table
Lecture 9 9. Concatenating DataFrames and Inserting new rows
Lecture 10 10. Concatenation and Merging Logic
Lecture 11 11. Merging and Joining
Lecture 12 12. Cartesian Product Between DataFrames
Lecture 13 13. Handling Duplicates in a DataFrames
Lecture 14 14. String Handling
Section 2: Handling Date and Time using Pandas functions
Lecture 15 1. DateTime - Datetime Creation
Lecture 16 2. DateTime - Pandas datetime functions
Lecture 17 3. DateTime - Reading Dates with Informats
Lecture 18 4. DateTime Series- DateRange and DateOffs
Data Analysts: Professionals who work with data to extract insights and make data-driven decisions would benefit from this course. They can learn how to efficiently manipulate and analyze datasets using Pandas, which is a powerful tool in the data analysis toolkit.,Data Scientists: Data scientists who use Python for their analytical work would find this course valuable for mastering the Pandas library, which is essential for data preprocessing, exploration, and feature engineering tasks in machine learning projects.,Business Analysts: Individuals working in business analytics roles can enhance their analytical skills by learning Pandas. They can leverage Pandas to clean, transform, and analyze business data to derive actionable insights and drive business decisions.,Students and Researchers: Students pursuing degrees in fields like data science, computer science, statistics, or related disciplines can benefit from learning Pandas as it is widely used in academic research and data analysis projects.,Professionals Transitioning to Data-related Roles: Individuals looking to transition to data-related roles, such as data analyst, data scientist, or business intelligence analyst, can use this course to acquire the foundational skills needed for these positions.,Anyone Interested in Data Analysis: Even individuals with no prior experience in data analysis or programming can take this course to learn how to work with data using Pandas. The course may serve as a stepping stone for those interested in pursuing a career in data science or analytics.



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