Data Analysis with Pandas
Course
Online
Description
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Type
Course
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Methodology
Online
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Start date
Different dates available
This course will introduce you to everything that you need to know to get started with data analysis using the Pandas library. To better enhance your understanding, you will not only learn the concepts underlying data analysis, but apply them to real-world data – logs of domestic US flights from 2017.
You will learn how to:
Clean data (from dealing with missing/null values, to handling appropriate data types for columns)
Visualize data using basic line plots and histograms
Understand basic statistics (including mean and standard deviations, and inferential statistics)
Implement basic machine learning techniques (using linear regression to learn a line of best fit)
Frameworks and tools covered: Python 3.6, Anaconda 5.2, Pandas 0.23, NumPy 1.15
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About this course
Familiarity in manipulating data with Pandas is necessary for this course. We recommend that you complete Data Manipulation with Pandas before taking this course.
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All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 2 years
Subjects
- Access
- Data analysis
- Statistics
- Cleaning
Course programme
Introduction 2:44
Introduction 2:44
2:44
Data Cleaning - Part 1 10:33
Data Cleaning - Part 1 10:33
10:33
Data Cleaning - Part 2 10:45
Data Cleaning - Part 2 10:45
10:45
Plotting 9:22
Plotting 9:22
9:22
Joining Data 7:11
Joining Data 7:11
7:11
Intro to Statistics 8:38
Intro to Statistics 8:38
8:38
Mean and Standard Deviation 9:53
Mean and Standard Deviation 9:53
9:53
Basic Statistics 9:47
Basic Statistics 9:47
9:47
Linear Regression 9:48
Linear Regression 9:48
9:48
Correlation Coefficient 8:06
Correlation Coefficient 8:06
8:06
Linear Regression 11:42
Linear Regression 11:42
11:42
Conclusion 1:22
Conclusion 1:22
1:22
Additional information
Data Analysis with Pandas