Search result for University of michigan python coursera Online Courses & Certifications
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Introduction to Data Science in Python
by Christopher Brooks- 4.5
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Approx. 31 hours to complete
This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. Fundamentals of Data Manipulation with Python Python More on Strings Python Demonstration: Reading and Writing CSV files Python Dates and Times...
Programming for Everybody (Getting Started with Python)
by Charles Severance- 0.0
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Master the basics of Python programming, and learn how to use programming tools and variables with the University of Michigan....
Free
Programming for Everybody: Python Data Structures
by Charles Severance- 0.0
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6
Discover data structures and learn how they’re used in the Python programming language with experts at the University of Michigan. Writing Python Programs Python Playground...
Free
Programming for Everybody (Getting Started with Python)
by Charles Russell Severance- 4.8
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Approx. 19 hours to complete
This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. Interview: Guido van Rossum: The Early Years of Python Interview: Guido van Rossum - The Modern Era of Python Describe the basics of the Python programming language...
Discrete Math and Analyzing Social Graphs
by Владимир Подольский , Ilya V. Schurov , Stepan Kuznetsov- 4.4
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Approx. 20 hours to complete
The main goal of this course is to introduce topics in Discrete Mathematics relevant to Data Analysis. We will illustrate new knowledge, for example, by counting the number of features in data or by estimating the time required for a Python program to run. This Course is part of HSE University Master of Data Science degree program....
Probability Theory, Statistics and Exploratory Data Analysis
by Ilya V. Schurov- 4.7
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Approx. 22 hours to complete
Exploration of Data Science requires certain background in probability and statistics. This Course is part of HSE University Master of Data Science degree program. Properties of CDF Examples of probability density functions Histogram as approximation to a graph of PDF Expected value of continuous random variable Basic visualizations of statistical data in Python...
