Applied Data Analysis
Big Data
15 Videos | 1h 30m 45s - Includes Assessment
- Earns a Badge
In this 14-video course, learners discover how to perform data analysis by using Anaconda Python R, and related analytical libraries and tools. Begin by learning how to install and configure Python with Anaconda, and how R is installed by using Anaconda. Jupyter Notebook will be launched to explore data. Next, learn about the import and export of data in Python, and how to read data from, write data to files with Python Pandas library, and import and export data in R. Learn to recognize and handle missing data in R and to use the Dplyr package to transform data in R. Then learners examine Python data analysis libraries NumPy and Pandas. Next, perform exploratory data analysis in R by using mean, median, and mode. Discover how to use the Python data analysis library Pandas to analyze data and how to use the ggplot2 library to visualize data with R. Learn about Pandas built-in data visualization tools to visualize data by using Python. The closing exercise deals with performing data analysis with R and Python.
WHAT YOU WILL LEARN
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install and configure Python using Anaconda
install and configure R using Anaconda
use Jupyter notebook to explore data
read data from files and write data to files using the Python Pandas library
import and export data in R
recognize and deal with missing data in R
use the Dplyr package in R to transform data -
work with the Python data analysis library NumPy
work with the Python data analysis library Pandas
perform exploratory data analysis in R using mean, median, and mode
use the Python data analysis library Pandas to analyze data
use the ggplot2 library to visualize data using R
use Pandas built-in data visualization tools to visualize data using Python
perform data analysis using R and Python
IN THIS COURSE
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1.Course Overview1m 35sUP NEXT
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2.Install and Configure Anaconda Python4m 46s
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3.Install R Using Anaconda2m 3s
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4.Use Jupyter Notebook6m 3s
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5.Import and Export Data in Python5m 9s
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6.Import and Export Data in R5m 18s
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7.Deal with Missing Data in R5m 16s
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8.Transform Data in R8m 3s
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9.Work with Numpy7m 14s
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10.Work with Pandas8m 11s
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11.Mean, Median, and Mode in R4m 53s
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12.Analyze Data with Pandas5m 19s
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13.Plot Data in R5m 41s
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14.Visualize Data in Python7m 45s
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15.Exercise: Perform Data Analysis7m
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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