Course Preview: Python, SQL, and Tableau for Data Science Professional Certificate - Tutorial: Exploratory Data Analysis in Python

Struggling with new datasets? Learn how to systematically analyze any dataset using Python and pandas! Follow along as we explore real HR data and uncover meaningful insights using professional data science techniques. This video is part of Course 2 in the *Python, SQL, Tableau for Data Science Professional Certificate on Coursera,* where you'll learn complete data exploration and analysis techniques. 📊 What you'll learn: * Initial data exploration * Descriptive statistics * Pattern identification * Outlier detection & analysis * Data cleaning techniques * Professional workflow tips 🐍 Python methods covered: * pandas.read_csv() * .head() * .info() * .describe() * .groupby() * Custom functions ⏱️ Timestamps: 0:00 Introduction 0:49 Loading Data 0:57 Initial Inspection 1:33 Data Cleaning 2:02 Descriptive Statistics 2:51 Categorical Analysis 3:35 Pattern Discovery 4:14 Outlier Detection 6:46 Tutorial Summary 📚 Want the full course? Learn Python, SQL, and Tableau in our comprehensive *Professional Certificate on Coursera:* → 100+ hands-on exercises → Real-world projects → Beginner to job-ready Start today: https://bit.ly/4ftYq50 🔔 Subscribe for weekly data science tutorials! Hit the notification bell to stay updated. #DataScience #Python #DataAnalysis #PandasTutorial #DataAnalytics #Programming #LearnPython