🔥Machine Learning Tutorial | Machine Learning For Beginners | Machine Learning Projects | Machine Learning Course [2026 Updated] | Simplilearn | - Exploratory Data Analysis (EDA) Using Python | Exploratory Data Analysis Project | Simplilearn

️🔥IBM - Data Scientist - https://www.simplilearn.com/data-science-course?utm_campaign=clblk_NwEU8&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥IBM - Data Analyst - https://www.simplilearn.com/data-analyst-certification-course?utm_campaign=clblk_NwEU8&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥PL-300 Microsoft Power BI Certification Training with Exam - https://www.simplilearn.com/power-bi-certification-training-course?utm_campaign=clblk_NwEU8&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥Tableau Desktop Specialist Certification Training - https://www.simplilearn.com/tableau-training-and-data-visualization-course?utm_campaign=clblk_NwEU8&utm_medium=DescriptionFFF&utm_source=Youtube In this video on exploratory data analysis in python, we're diving into the thrilling world of Exploratory Data Analysis (EDA) using a fascinating Roller Coaster dataset. We'll leverage powerful Python libraries such as Numpy and Pandas to sort, clean, and prepare our data, followed by creating stunning visualizations to uncover hidden insights. Discover how to clean and sort the Roller Coaster dataset using Pandas, remove duplicates, and handle missing values for accurate analysis. Utilize Numpy for efficient numerical operations and array management, and employ By the end of this video, you'll master EDA techniques using Numpy and Pandas and learn to create impactful visualizations with histograms, bar charts, KDE plots, and heat maps. Whether you're a data science enthusiast or a roller coaster aficionado, this tutorial is packed with valuable insights. Dataset Link: - https://drive.google.com/file/d/1SX7t73MdN1b-fpm5X2hkkMMg2TtoJFwN/view?usp=sharing 00:00 introduction to EDA 01:48 EDA Demo ✅What is meant by exploratory data analysis? Exploratory Data Analysis (EDA) is an analysis approach that identifies general patterns in the data. These patterns include outliers and features of the data that might be unexpected. EDA is an important first step in any data analysis. ✅What is EDA used for? Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods. ✅What is data exploration analysis? Data exploration definition: Data exploration refers to the initial step in data analysis in which data analysts use data visualization and statistical techniques to describe dataset characterizations, such as size, quantity, and accuracy, in order to better understand the nature of the data. ✅Subscribe to our Channel to learn more about the top Technologies: https://youtube.com/@UCsvqVGtbbyHaMoevxPAq9Fg #EDA #ExploratoryDataAnalysis #DeepLearning #GenAI #AI #ArtificialIntelligence #MachineLearning #2024 #Simplilearn ➡️ About Data Analyst Master’s Program This online data analyst course will transform you into a data analytics expert. In this certification course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment. ✅ Key Features - Simplilearn's JobAssist helps you get noticed by top hiring companies - Industry-recognized Data Analyst Master’s certificate from Simplilearn - Dedicated live sessions by faculty of industry experts - Masterclasses from IBM experts - Industry-recognized IBM certifications for IBM courses - Ask-Me-Anything (AMA) sessions with IBM leadership - Capstone from 3 domains and 20+ projects - Exclusive hackathons conducted by IBM - Lifetime access to self-paced learning content - Program crafted to initiate your journey as a Data Analyst ✅ Skills Covered - Data Analytics - Statistical Analysis using Excel - Data Analysis using Python and R - Data Visualization Tableau and Power BI - Linear and logistic regression modules - Clustering using KMeans - Supervised Learning - Unsupervised Learning 👉 Learn More at: 🔥🔥