Exploratory Data Analysis with Pandas and Python 3.x
5.0 /5- Offered byUDEMY
Exploratory Data Analysis with Pandas and Python 3.x at UDEMY Overview
Duration | 5 hours |
Total fee | ₹3,499 |
Mode of learning | Online |
Credential | Certificate |
Exploratory Data Analysis with Pandas and Python 3.x at UDEMY Highlights
- Earn a Certificate of completion from Udemy
- Learn from 1 downloadable resources
- Comes with 30 days money back guarantee and full lifetime access
Exploratory Data Analysis with Pandas and Python 3.x at UDEMY Course details
- For Python developers, data analysts, and IT professionals
- Learn multidimensional analysis and reduction techniques
- Learn how to deal with missing data and outliers to resolve data inconsistencies
- Explore various visualization techniques for bivariate and multivariate analysis
- This hands-on course shows non-programmers how to process information that's initially too messy or difficult to access
- Learn how to acquire, clean, analyze, and present data efficiently
- This course will take you from Python basics to explore many different types of data
- Working with real-world datasets to retrieve insights from data
- Exposed to different kinds of data structure and data-related problems
- Learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more
Exploratory Data Analysis with Pandas and Python 3.x at UDEMY Curriculum
Descriptive Statistics
Basic Statistical Measures
Variance and Standard Deviation
Visualizing Statistical Measures
Calculating Percentiles
Quartiles and Box Plots
Dealing with Missing data
Dealing with Missing Values
Hands-on with Dealing with Missing Values
Case Study: Missing Data in Titanic Dataset
Dealing with Outliers
What are Outliers?
Using Z-scores to Find Outliers
Modified Z-scores
Using IQR to Detect Outliers
Univariate Analysis
Types of Variables
Introduction to Univariate Analysis
Skewness and Kurtosis
Univariate Analysis over Olympics Dataset
Bivariate Analysis
Introduction to Bivariate Analysis
Correlation Coefficient
Scatter Plots and Heatmaps
Bivariate Analysis: Titanic Dataset
Bivariate Analysis: Video Game Sales
Multivariate Analysis
Introduction to Multivariate Analysis
Multivariate Analysis over Titanic Dataset
Multivariate Analysis over Pokemon Dataset
Simpson's Paradox
Correlation Is Not Causation
Exploratory Data Analysis with Pandas and Python 3.x at UDEMY Entry Requirements
- Prerequisite: Basic Python programming experience required
- Not mentioned
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