Introduction to Python for Data Science資料科學的Python導論

  • 開課機構: 財團法人資訊工業策進會-微軟專業學程MPP
  • 開課平台: 資策會-數位學習平台
  • 講師介紹: Filip Schouwenaars & Jonathan Sanito

  • Filip Schouwenaars

    Main Course Developer DataCamp

    Filip is the main course developer behind many of DataCamp's interactive courses. His courses and tutorials were already taken by thousands of students across the world. DataCamp has trained more than 250,000 data scientists who’ve completed over 3.7 million interactive exercises.

    Jonathan Sanito

    Senior Content Developer Microsoft

    Jonathan works as a content developer and project manager for Microsoft focusing in Data and Analytics online training. He has worked with trainings for developer and IT pro audiences, from Microsoft Dynamics NAV to Windows Active Directory.

    Before coming to Microsoft, Jonathan worked as a consultant for a Microsoft partner, implementing Microsoft Dynamics NAV solutions.


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    About this course

    Python is a very powerful programming language used for many different applications. Over time, the huge community around this open source language has created quite a few tools to efficiently work with Python. In recent years, a number of tools have been built specifically for data science. As a result, analyzing data with Python has never been easier.

    In this practical course, you will start from the very beginning, with basic arithmetic and variables, and learn how to handle data structures, such as Python lists, Numpy arrays, and Pandas DataFrames. Along the way, you’ll learn about Python functions and control flow. Plus, you’ll look at the world of data visualizations with Python and create your own stunning visualizations based on real data.


    What you'll learn
    •Explore Python language fundamentals, including basic syntax, variables, and types
    •Create and manipulate regular Python lists
    •Use functions and import packages
    •Build Numpy arrays, and perform interesting calculations
    •Create and customize plots on real data
    •Supercharge your scripts with control flow, and get to know the Pandas DataFrame


    Some experience in working with data from Excel, databases, or text files.