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Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. and many more… I am Alexander Hagmann, Finance Professional and Data Scientist (> 7 Years Industry Experience) and best-selling Instructor for Pandas, (Financial) Data Science and Finance with Python. 40 Hours; IgmGuru's Data Science with Python certification course has been designed after consulting some of the best in the industry and also the faculty who are teaching at some of the best universities. All data science tutorials at Real Python: np.linspace(): Create Evenly or Non-Evenly Spaced Arrays. The programming requirements of data science demands a very versatile yet flexible language which is simple to write the code but can handle highly complex mathematical processing. 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