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However, with all of this data available, it is no wonder that many companies are feeling overwhelmed, and they are not sure how to handle all of this data.This is where the data analysis is going to come into play. You will also get verifiable certificates (unique certification number and your unique URL) when you complete each of them. You will also learn about Python libraries such as NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, etc. insert_drive_file. In this course, we'll focus on learning the fundamentals — like basic Python syntax — with an eye on how they're used for data analysis and data science work. Found insideThe book also discusses Google Colab, which makes it possible to write Python code in the cloud. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data. 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