Applied Data Analysis
Big Data
| Intermediate
- 15 videos | 1h 24m 15s
- 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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1m 35s
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4m 46sDuring this video, you will learn how to install and configure Python using Anaconda. FREE ACCESS
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3. Install R Using Anaconda2m 3sIn this video, you will install and configure R using Anaconda. FREE ACCESS
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4. Use Jupyter Notebook6m 3sIn this video, you will learn how to use Jupyter notebook to explore data. FREE ACCESS
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5. Import and Export Data in Python5m 9sIn this video, you will learn how to read data from files and write data to files using the Python Pandas library. FREE ACCESS
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6. Import and Export Data in R5m 18sThis video will show you how to import and export data in R. FREE ACCESS
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7. Deal with Missing Data in R5m 16sUpon completion of this video, you will be able to recognize and deal with missing data in R. FREE ACCESS
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8. Transform Data in R8m 3sIn this video, you will use the Dplyr package in R to transform data. FREE ACCESS
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9. Work with Numpy7m 14sIn this video, learn how to work with the Python data analysis library, NumPy. FREE ACCESS
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10. Work with Pandas8m 11sFind out how to work with the Python data analysis library, Pandas. FREE ACCESS
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11. Mean, Median, and Mode in R4m 53sTo perform exploratory data analysis in R, use the mean, median, and mode functions. FREE ACCESS
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12. Analyze Data with Pandas5m 19sIn this video, you will use the Python data analysis library Pandas to analyze data. FREE ACCESS
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13. Plot Data in R5m 41sDuring this video, you will learn how to use the ggplot2 library to visualize data using R. FREE ACCESS
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14. Visualize Data in Python7m 45sIn this video, you will learn how to use Pandas' built-in data visualization tools to visualize data using Python. FREE ACCESS
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15. Exercise: Perform Data Analysis7mLearn how to perform data analysis using R and Python. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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