Udemy - Data Analysis Masterclass - Real-World Pandas Coding torrent

Data Analysis Masterclass: Real-World Pandas Coding

https://DevCourseWeb.com

Published 9/2024
Duration: 4h21m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.54 GB
Genre: eLearning | Language: English

Master Pandas: Real-World Data Cleaning, Feature Engineering, Visualisation, Statistical Analysis Challenges

What you'll learn
Be proficient in using the pandas library which includes data loading, exploring, cleaning and a variety of data manipulation techniques.
Develop proficiency in identifying and handling missing or inconsistent data, including techniques for folling, interpolating, and removing missing values.
Learn how to create new features (feature engineering) from existing data to enhance the dataset and improve the quality of the analysis.
Gain the ability to create insightful visualisations using pandas integrated plitting capabilities and additional libraries like Seaborn.
Understand how to perform various statistical tests to analyse the data, including descriptive statistics, correlation, and hypothesis testing.
Apply all the cocepts learned through practical, hands-on experience using a real-world dataset from Kaggle.

Requirements
Basic understanding of Python (data types: familiarity with fundamental data types such as integers, floats, strings, lists and dictoinaries; variables: understanding how to declate and use variables; loops: basic knowledge of for loops; conditional statements: basic knowledge of if-statements; functions: ability to write and call functions, including passing arguments and returning values).
Only a computer and an internet connection needed, as well as a Google account.