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.
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.
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
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