Data Science 101: Methodology, Python, and Essential Math . Explain data science methodology, starting with business understanding and ending at deployment . Identify the various elements of machine learning and natural language processing involved in building a simple Chatbot . Solve a system of linear equations and work with variables, data structures, looping structures, decision structures, and functions. Recall the various functionality of the two main data science libraries: Numpy and Pandas . Compute a least squares solution via pseudoinverse via pseudo-inverse. Compute the proper probability model for your use case . Use the course as a refresher for the next week’s newsletter .Authentication failed. Unique API key is not valid for this user.
Who this course is for:
Beginners to Data Science or those interested in a data science career.
Individuals considering switching fields.
Individuals who want to get a big picture overview before focusing on specific Data Science topics.
You are interested in an Introduction to data science in Python.
You are interested in learning the essential math for data science.
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Data Science 101: Methodology, Python, and Essential Math free download