Skill Path: Data Science On-Ramp

In this skill path, you'll gain fundamental skills and tools to build projects and work toward your first data science job. You'll learn how to code in Python, use Jupyter notebooks to collaborate, create interactive visualizations, manipulate and clean data, and more. 

You'll cover:

• Programming in Python
• Using Anaconda and Jupyter Notebooks
• Forming and testing hypotheses about data
• Communicating insights to business leaders
• Analyzing data with pandas
• Visualizing data
• Cleaning data with pandas, seaborn, and Matplotlib
• Finding data sets for your first independent projects
• Curating your projects, portfolio, and online presence

You'll also receive expert feedback on your portfolio so you can confidently start interviewing for data science roles.

By the end of this hands-on skill path, you’ll understand:

• How to write Python code
• How to work with Anaconda and Jupyter notebooks
• What tools and processes data scientists use
• How different parts of the technology stack work together
• What data analysis means
• What data cleaning means
• What data visualization means
• How to follow best practices for a data science portfolio

And you’ll be able to:

• Code in Python
• Analyze data
• Use Python libraries for data science and machine learning
• Clean data and deal with missing values and outliers
• Explain your data through visualization
• Find data sets to build projects
• Curate your projects and online presence to get your first data science job

This training is for you because…

• You’re new to data science.
• You want to learn Python and apply it to data science.
• You want to better communicate about data.
• You want to prepare for your first data science role.