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This course introduces you to watsonx.data, IBM’s open data lakehouse platform.
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Gain insights into business intelligence tools and analytics techniques to optimize decision-making.
Learn the statistics behind data science, from summary statistics to regression models.
Learn to use Pandas and NumPy libraries for data manipulation and analysis in Python.
Data Analysts and Analytics Data Scientists use Python and SQL to query, analyze, and visualize data — and communicate findings.
Understand the principles of data analysis, including techniques for data collection, cleaning, and interpretation.
Learn how to analyze data using R programming, including statistical modeling and visualization techniques.
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