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Processing Data with Python
  • Level Intermediate
  • Duration 2 hours
  • Offered by

About

Processing data is used in virtually every field these days. It is used for analyzing web traffic to determine personal preferences, gathering scientific data for biological analysis, analyzing weather patterns, business practices, and on. Data can take on many different forms and come from many different sources. Python is an open-source (free) programming language that is used in web programming, data science, artificial intelligence, and many scientific applications. It has libraries that can be used to parse and quickly analyze the data in whatever form it comes in, whether it be in XML, CSV, or JSON format. Data cleaning is an important aspect of processing data, particularly in the field of data science. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions.

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"Processing Data with Python" is a dynamic course tailored for professionals in the IT and Computer Science sector. This Coursera offering delves into the essential role of data processing across various fields such as web traffic analysis, scientific research, weather forecasting, and business analytics. Leveraging Python, a versatile and open-source programming language known for its applications in web development, data science, and artificial intelligence, the course equips learners with the skills to efficiently parse and analyze data in formats like XML, CSV, and JSON. Guided by expert instructors, participants will explore the critical process of data cleaning, a pivotal step in data science to ensure accuracy and reliability in data analysis. Spanning a comprehensive 120 hours, the course is designed for professional-level learners and is best suited for individuals located in North America, with expansion plans for other regions underway. Available through a Starter subscription, "Processing Data with Python" promises a thorough and practical learning experience for those looking to harness the power of Python in data processing and analysis. Whether you're aiming to enhance your career or expand your technical expertise, this course offers a valuable opportunity to advance your skills in a key area of the modern data-driven world.