Applied Data Science with Python Specialization
Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.
Applied Data Science with Python Specialization
Gain new insights into your data.
Learn to apply data science methods and techniques, and acquire analysis skills.
464,303 already enrolled
Included with
from 34,345 reviews of courses in this program
from 34,345 reviews of courses in this program
What you'll 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'll gain
- Matplotlib
- Network Analysis
- Data Visualization Software
- Text Mining
- Social Network Analysis
- Data Visualization
- Applied Machine Learning
- Model Evaluation
- Statistical Visualization
- Network Model
- Feature Engineering
- Data Preprocessing
- Data Manipulation
- Supervised Learning
- Interactive Data Visualization
- Plot (Graphics)
- Natural Language Processing
Tools you'll learn
Details to know
See how employees at top companies are mastering in-demand skills
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from University of Michigan
Specialization - 5 course series
The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.
Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.
Introduction to Data Science in Python
What you'll learn
Understand techniques such as lambdas and manipulating csv files
Describe common Python functionality and features used for data science
Query DataFrame structures for cleaning and processing
Explain distributions, sampling, and t-tests
Skills you'll gain
Applied Plotting, Charting & Data Representation in Python
What you'll learn
Describe what makes a good or bad visualization
Understand best practices for creating basic charts
Identify the functions that are best for particular problems
Create a visualization using matplotlb
Skills you'll gain
Applied Machine Learning in Python
What you'll learn
Describe how machine learning is different than descriptive statistics
Create and evaluate data clusters
Explain different approaches for creating predictive models
Build features that meet analysis needs
Skills you'll gain
Applied Text Mining in Python
What you'll learn
Understand how text is handled in Python
Apply basic natural language processing methods
Write code that groups documents by topic
Describe the nltk framework for manipulating text
Skills you'll gain
Applied Social Network Analysis in Python
What you'll learn
Represent and manipulate networked data using the NetworkX library
Analyze the connectivity of a network
Measure the importance or centrality of a node in a network
Predict the evolution of networks over time
Skills you'll gain
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors
Offered by
Why people choose Coursera for their career
Frequently asked questions
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,