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This Video on Exploratory Data Analysis With Python by simplilearn will help you learn about the basics of data analysis, types of data analysis, Initial Data Analysis and exploratory data analysis. Proceeding ahead, we will learn about jupyter notebook and important python data analysis libraries like NumPy, Pandas, SeaBorn, SciKitLearn, MatPlotLib, and many more. We will perform the Data Feature Engineering, Data Modelling, Data model evaluation. Proceeding ahead, we will import data and begin with the python EDA(Exploratory Data Analysis)
Following are the Topics Covered:
00:00:00 Introduction to Python Exploratory Data Analysis
00:03:10 Types of Data Analysis
00:03:35 Inital Data Analysis
00:05:10 Exploratory Data Analysis in Python
00:06:35 Step in Wxploratory Data Analysis in Python
00:08:00 Students Performance Data Analysis with Python
00:12:05 !pip Install
00:13:50 Import Data Analysis Libraries in Python
00:15:10 Feature Engineering
00:16:00 Data Modelling
00:15:45 Model Evaluation
00:17:45 Importing Data
00:19:05 DF.SHAPE
00:19:30 DF.HEAD
00:19:50 DF.DUPLICATED.SUM()
00:20:20 DF.ISNULL().SUM()
00:22:10 MatPlotLib
00:23:10 Data Cleaning
00:24:10 DESCRIBE()
00:30:10 Exploratory Data Analysis in Python
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#dataAnalytics #EDA #python #pandas #DataAnalysis #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
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