- Text Mining
- Python Programming
- Data Cleansing
- Data Virtualization
- Data Visualization (DataViz)
- Machine Learning (ML) Algorithms
- Machine Learning
- Natural Language Toolkit (NLTK)
Applied Data Science with Python Specialization
Gain new insights into your data . Learn to apply data science methods and techniques, and acquire analysis skills.
What you will learn
Conduct an inferential statistical analysis
Discern whether a data visualization is good or bad
Enhance a data analysis with applied machine learning
Analyze the connectivity of a social network
Skills you will gain
About this Specialization
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 5 Courses in this Specialization
Introduction to Data Science in Python
Applied Machine Learning in Python
Applied Text Mining in Python
Start working towards your Master's degree
Frequently Asked Questions
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