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This course provides instruction in the full IBM Process Mining project lifecycle.
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Learn the fundamentals of data collection, analysis, and interpretation.
Get introduced to data analytics methods for extracting insights from data.
Learn how to analyze data using R programming, including statistical modeling and visualization techniques.
Explore predictive analytics techniques and tools using Alteryx to forecast future trends based on historical data.
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.
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