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This short course provides an introduction to IBM Process Mining.
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Inference Data Scientists run A/B tests, do root-cause analysis, and conduct experiments. They use Python, SQL, and R to analyze data.
Learn the skills to analyze, interpret, and present data for informed business decisions.
Learn to use Pandas and NumPy libraries for data manipulation and analysis in Python.
Learn the basics of Python 3.12, one of the most powerful, versatile, and in-demand programming languages today.
Understand the principles of data analysis, including techniques for data collection, cleaning, and interpretation.
Learn to clean, analyze, and visualize data with Python and SQL.
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