Exploratory Data Analysis In Python, Pandas & Excel
Published 10/2024
Created by Asim Noaman Lodhi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 43 Lectures ( 2h 46m ) | Size: 1.56 GB
Analyze data quickly and easily with Python's powerful pandas library! All datasets included --- beginners welcome!

What you'll learn
Exploratory data analysis with Excel, Pandas & Python
A course about how to approach a dataset for the first time
How to perform EDA Analysis with Power Query
Apply your skills to real-life business cases
Data Analysis & Exploratory Data Analysis
Requirements
Basic / intermediate experience with Microsoft Excel or another spreadsheet software (common functions, vlookups, Pivot Tables etc)
Description
Master Data Analysis: Python, Statistics, EDA, Feature Engineering, Power BI, and SQL Server in Comprehensive B in Comprehensive Bootcamp. Step-by-step projects with clear explanations. EDA is an important step of data science and machine learning.With this course, the student will learn:How to visualize information that is hidden inside the datasetHow to visualize the correlation and the importance of the columns of a datasetSome useful Python librariesThis is the best course for people who have just learnt python basics(prerequisite for this course) and want to become Data Analyst/Data Scientist.Before diving into data modeling, it's crucial to understand your data. EDA is the process of analyzing data sets to summarize their main characteristics, often with visual methods. You'll learn how to identify trends, patterns, and outliers using visualization tools like Matplotlib and Seaborn. This step is essential for uncovering insights and ensuring data quality.Everyone who want to step into Data Science/Data Analytics. Learn to build interactive and insightful dashboards using Power BI, applying DAX for complex calculations, and integrating real-world data to produce reports.Resolve common issues in broken or incomplete data sets. Learn python in detail and get exposure. good luck and hands on python.
Who this course is for
Data analysts and business analysts
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