Applied Data Science with Python Specialization: Unlock Insights in 2025-2026
Ready to transform data into actionable insights? The Applied Data Science with Python Specialization, offered by the University of Michigan through Coursera, is a 5-course series designed to elevate intermediate learners’ skills in data science. Led by instructors Christopher Brooks, Kevyn Collins-Thompson, and Daniel Romero, this program has enrolled 434,530 learners and earned a solid 4.5/5 rating from 26,187 reviews. Spanning 4 months at 10 hours a week, it’s a flexible, career-boosting option for 2025-2026.
Why Choose the Applied Data Science with Python Specialization?
Data science is a high-demand field, and this intermediate-level specialization builds on basic Python or programming experience, making it ideal for those ready to advance. Updated in April 2025 and included in Coursera Plus, it offers a shareable certificate from the University of Michigan—perfect for enhancing your LinkedIn profile, resume, or CV in 2025-2026. Using popular Python tools like pandas, matplotlib, and scikit-learn, it’s tailored for practical, real-world applications.
Whether you’re aiming for a career shift or deeper expertise, this program delivers.
[ENROLL FOR FREE NOW: Start your data science journey now].
What You’ll Learn: Key Skills and Outcomes
This specialization builds essential data science skills:
- Python Programming: Leverage Python for analysis.
- Data Analysis: Extract insights from data.
- Computer Programming: Code efficiently.
- Machine Learning: Apply predictive models.
- Algorithms: Optimize solutions.
- Applied Machine Learning: Solve real problems.
- Machine Learning Algorithms: Use advanced techniques.
- Statistical Programming: Conduct statistical analysis.
- Data Management: Organize datasets.
You’ll master:
- Inferential statistics.
- Evaluating data visualizations.
- Enhancing analysis with machine learning.
- Analyzing social network connectivity.
[ENROLL FOR FREE NOW: Master data science skills today].
Course Structure: 5 Courses for Data Mastery
This 5-course series totals approximately 140 hours:
- Introduction to Data Science in Python (Course 1)
- 34 hours, 4.5/5 (27,147 ratings)
- Learn Python data basics.
- Applied Plotting, Charting & Data Representation in Python (Course 2)
- 24 hours, 4.5/5 (6,266 ratings)
- Master visualizations.
- Applied Machine Learning in Python (Course 3)
- 31 hours, 4.6/5 (8,551 ratings)
- Apply ML techniques.
- Applied Text Mining in Python (Course 4)
- 25 hours, 4.2/5 (3,814 ratings)
- Analyze text data.
- Applied Social Network Analysis in Python (Course 5)
- 26 hours, 4.6/5 (2,708 ratings)
- Study network connections.
Taught in English with a Coursera Career Certificate, it includes hands-on projects using Python toolkits.
Instructors Spotlight: University of Michigan Experts
- Christopher Brooks: 15 courses, 910,484 learners.
- Kevyn Collins-Thompson: University of Michigan faculty.
- Daniel Romero: Co-instructor.
From the University of Michigan, these experts bring cutting-edge knowledge for 2025-2026 learners.
What Learners Say: Testimonials and Reviews
Rated 4.5/5 from 26,187 reviews, learners praise its impact:
- Felipe M. (Learner since 2018): “To be able to take courses at my own pace and rhythm has been an amazing experience.”
- Jennifer J. (Learner since 2020): “I directly applied the concepts and skills I learned to an exciting new project at work.”
- Larry W. (Learner since 2021): “When I need courses on topics my university doesn’t offer, Coursera is one of the best places to go.”
Chaitanya A. adds, “Learning isn’t just about being better at your job—it’s so much more than that. Coursera allows me to learn without limits.”
[ENROLL FOR FREE NOW: See reviews and enroll].
Why Coursera and University of Michigan? A Top Choice
Offered by the University of Michigan, this specialization leverages Coursera’s flexible online platform. Updated for 2025-2026 and with financial aid options, it’s accessible and may preview degree programs.
Frequently Asked Questions (FAQs)
Is it fully online?
Yes, 100% online, accessible anytime via web or mobile.
What’s the refund policy?
Enjoy a 7-day free trial. Post-trial, no refunds, but you can cancel anytime. See the .
How do I enroll?
Click a course card to start. Audit for free or subscribe for the certificate.
Is financial aid available?
Yes! Apply for financial aid or scholarships on the course page.
Can I audit individual courses?
Yes, audit mode offers free access to most content; subscribe for the certificate.
Can I earn university credit?
No, but some institutions may accept it—check with yours.
Final Thoughts: Excel in Data Science in 2025-2026
The Applied Data Science with Python Specialization, led by Christopher Brooks and team, is your path to data mastery in 2025-2026. With 5 courses, 4 months of flexible learning, and a shareable certificate, you’ll unlock powerful insights. Start now and elevate your career!
[ENROLL FOR FREE NOW: Enroll now and thrive in data science].
