- Python Programming
- R Programming
- Data Analysis
- Data Visualization (DataViz)
- Basic Descriptive Statistics
- Data Science
- Visual Communication
- Bar Chart
Data Science and Analysis Tools - from Jupyter to R Markdown Specialization
Hands-on Introduction to Data Science. Analyze data and create data visualizations using industry-standard data science tools without installing anything!
What you will learn
Describe a numerical data set with statistics
Import and describe a mixed data set using pandas and matplotlib
Determine if populations are different using statistical tests
Describe relationships between variables using statistical tests
Skills you will gain
About this Specialization
Applied Learning Project
Learners will create a variety of data visualizations based off of real data sets that they import and wrangle such as determining and showcasing which professions rank as earning the highest median salaries in 2014. Learners will also work on determining whether people's traits such as gender have any correlation with their height and/or weight.
How the Specialization Works
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.
Earn a Certificate
When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
There are 4 Courses in this Specialization
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