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Welcome to my Python for Data Science: Learn Data Science From Scratch course.
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Data Science with Python, NumPy, Pandas, Matplotlib, Data Visualization Learn with Data Science project & Python project
OAK Academy offers highly–rated data science courses that will help you learn how to visualize and respond to new data, as well as develop innovative new technologies. Whether you’re interested in machine learning, data mining, or data analysis, Udemy has a course for you. data literacy, python, data science python, pandas Project, python data science projects, data, data science with Project, pandas projects, pandas, data science with python, NumPy
Data science is everywhere. Better data science practices are allowing corporations to cut unnecessary costs, automate computing, and analyze markets. Essentially, data science is the key to getting ahead in a competitive global climate.
Python instructors at OAK Academy specialize in everything from software development to data analysis and are known for their effective, friendly instruction for students of all levels.
Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn. Python’s simple syntax is especially suited for desktop, web, and business applications. Python’s design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python’s large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks.
Specification: Python for Data Science: Learn Data Science From Scratch
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Price | $9.99 |
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Provider | |
Duration | 9.5 hours |
Year | 2022 |
Level | All |
Language | English ... |
Certificate | Yes |
Quizzes | Yes |
$84.99 $9.99
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