Python for Data Analysis: Step-By-Step with Projects [Video]
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Free ChapterIntroduction
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Python Crash Course
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Importing Data
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Exploring Data
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Capstone Practice Project I
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Cleaning Data
- Data Cleaning Overview
- Removing Unnecessary Columns/Rows
- Missing Data Overview
- Tackling Missing Data (Dropping)
- Tackling Missing Data (Imputing with Constant)
- Tackling Missing Data (Imputing with Statistics) and Missing Indicators
- Tackling Missing Data (Imputing with Model)
- Handling Outliers (1)
- Handling Outliers (2)
- Cleaning Text
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Transforming Columns/Features
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Capstone Practice Project II
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Exploratory Data Analysis
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Capstone Practice Project III
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Dealing with Time Series Data
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Thank You
About this
video
Data analysis is a critical skill and is getting more popular. Nowadays, every organization has some data. Data could be extremely useful, but not without appropriate analysis. Data analysis enables us to transform data into insights for businesses to make informative decisions.
You can find data analysis being used in every industry, be it healthcare, finance, or technology. Python is one of the most in-demand skills for data science by employers. It is not only easy to learn but also powerful.
The course follows the approach of rather than dumping all the available Python libraries or functions to you, we picked only the most useful ones based on our industry experience to cover in the course. This allows you to focus and master the foundations. Besides Python programming, you will also get exposed to the basic statistical knowledge necessary for data analysis. Combined with detailed video lectures, you will be given a few projects to work on to reinforce your knowledge.
By the end of the course, you will have a solid foundation of data analysis, and be able to use Python for the complete process.
All resources and code files are placed here: https://github.com/PacktPublishing/Python-for-Data-Analysis-step-by-step-with-projects-
- Publication date:
- December 2021
- Publisher
- Packt
- Duration
- 10 hours 55 minutes
- ISBN
- 9781803243979
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