Guided Project: Get Started with Data Science in Agriculture (edX)

Guided Project: Get Started with Data Science in Agriculture (edX)
Free Course
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Certification
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For this project, you will need: Basic Python, pandas, and seaborn skills. Fundamental statistics knowledge. Essential Plotly skills.
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Guided Project: Get Started with Data Science in Agriculture (edX)
Ideal for beginners with some knowledge of Python and statistics, in this one-hour hands-on guided project, you will learn how to use essential Python tools for statistical analysis of agricultural data and present that data on interactive maps.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Data science tools have revolutionized the way farmers and agricultural professionals approach their work. Python data analysis tools, such as pandas and seaborn, enable farmers to make data-driven decisions using soil, water, and economic data accounts. Pandas is a Python library used to simplify handling large sets of data. Seaborn is a data visualization library used to quickly create graphs.

This hands-on guided project will prepare you to handle agricultural datasets using these Python tools. You will develop job-ready skills, like how to download, prepare, analyze, and visualize data using Python libraries, including pandas and seaborn. You will learn how to build a trend line in order to forecast future trends, and finally, you will learn how to create interactive maps which show data change over time.

You will be provided with access to a Cloud-based IDE, which has all of the required software, including Python, pre-installed. All you need is a recent version of a modern web browser to complete this project.


What you'll learn

After completing this project, you will be able to:

- Read a CSV file

- Convert the CSV file to a DataFrame

- Preprocess the data

- Perform statistical analysis of the data and display various summary statistics

- Visualize data using pandas and seaborn

- Build interactive maps using Plotly



MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Free Course
For this project, you will need: Basic Python, pandas, and seaborn skills. Fundamental statistics knowledge. Essential Plotly skills.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.