🔥 IIT Kanpur Professional Certificate Course In Data Analytics (India Only): [ Ссылка ]
🔥 Post Graduate Program In Data Analytics: [ Ссылка ]
🔥 Caltech Data Analytics Bootcamp(US Only): [ Ссылка ]
🔥 Data Analyst Masters Program : [ Ссылка ]
🔥 IIT Kanpur Professional Certificate Course In Data Science (India Only): [ Ссылка ]
🔥 Caltech Post Graduate Program In Data Science: [ Ссылка ]
🔥 Data Scientist Masters Program : [ Ссылка ]
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: - [ Ссылка ]
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:
[ Ссылка ]
#EDA #ExploratoryDataAnalysis #DeepLearning #GenAI #AI #ArtificialIntelligence #MachineLearning #2024 #Simplilearn
➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars
✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning
👉 Learn More At: [ Ссылка ]
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
✅ Inspiring Success Stories of Simplilearn's Learners: [ Ссылка ]
