- Data Science
- Python Programming
- Data Analysis
- Jupyter notebooks
- Predictive Modelling
- Data Visualization (DataViz)
- Model Selection
- Dashboards and Charts
Applied Data Science Specialization
Get hands-on skills for a career in data science. Learn Python, analyze and visualize data. Apply your skills to data science and machine learning.
What you will learn
Develop an understanding of Python fundamentals
Gain practical Python skills and apply them to data analysis
Communicate data insights effectively through data visualizations
Create a project demonstrating your understanding of applied data science techniques and tools
Skills you will gain
About this Specialization
Applied Learning Project
Build your data science portfolio as you gain practical experience from producing artifacts in the interactive labs and projects throughout this program. These courses include real-world projects using principal data science tools to apply your newfound skills. Projects:
Extract and graph financial data with the Pandas Python library.
Wrangle data, graph plots, and create regression models to predict housing prices with Python libraries, including NumPy, and Sklearn.
Create visualizations and a dynamic Python dashboard with treemaps and line plots using libraries such as Matplotlib, Seaborn, and Plotly Dash to monitor, report, and improve US domestic flight reliability.
In the final capstone course, apply what you’ve learned from previous courses into one comprehensive project. You will train and compare machine learning models, including support vector machines, classification trees, and logistic regression, to predict if a SpaceX launch can reuse the first stage of a rocket.
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
Python for Data Science, AI & Development
Python Project for Data Science
Data Analysis with Python
Data Visualization with Python
Start working towards your Bachelor's degree
Frequently Asked Questions
What is the refund policy?
Can I just enroll in a single course?
Is financial aid available?
Can I take the course for free?
Is this course really 100% online? Do I need to attend any classes in person?
Will I earn university credit for completing the Specialization?
How can I earn my IBM Badge?
What is data science?
What are some examples of careers in data science?
How long does it take to complete this Specialization?
What background knowledge is necessary?
Do I need to take the courses in a specific order?
Can I get college credit for taking the IBM Applied Data Science Specialization?
What will I be able to do upon completing the Specialization?
How do you share your proof of completion with the educational institutions for transferring credit?
Where can I find more information on ACE credit recommendations?
More questions? Visit the Learner Help Center.