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Introduction to Data Science in Python
by Christopher Brooks- 4.5
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Approx. 31 hours to complete
The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. Describe common Python functionality and features used for data science...
Inferential Statistical Analysis with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.6
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Approx. 19 hours to complete
In this course, we will explore basic principles behind using data for estimation and for assessing theories. At the end of each week, learners will apply what they’ve learned using Python within the course environment. Inferential Statistical Analysis with Python Guidelines The Python Statistics Landscape Napping and Non-Napping Toddlers Article for Python Assessment...
Applied Text Mining in Python
by V. G. Vinod Vydiswaran- 4.2
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Approx. 29 hours to complete
This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. Course Syllabus Notice for Auditing Learners: Assignment Submission...
Learning to Teach Online
by Associate Professor Simon McIntyre , Dr Negin Mirriahi- 4.7
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Approx. 18 hours to complete
You will also be encouraged to progressively design and reflect upon your own online learning activity, assessment or resource for use in your own class if you choose to undertake the course assignments. Handling copyright for online courses How can you best develop online learning for learners with low levels of independence?...
Meaningful Predictive Modeling
by Julian McAuley , Ilkay Altintas- 4.4
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Approx. 9 hours to complete
This course will help us to evaluate and compare the models we have developed in previous courses. So far we have developed techniques for regression and classification, but how low should the error of a classifier be (for example) before we decide that the classifier is "good enough"? Course Materials Diagnostics for Data...
Accounting Data Analytics with Python
by Ronald Guymon , Linden Lu- 4.1
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Approx. 32 hours to complete
This course focuses on developing Python skills for assembling business data. The second half of the course focuses on assembling data for machine learning purposes. Finally, we explain how to use Python for interacting with SQL data. Execute Python code for wrangling data from different structures into a Pandas dataframe structure....
Fitting Statistical Models to Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.4
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Approx. 15 hours to complete
All techniques will be illustrated using a variety of real data sets, and the course will emphasize different modeling approaches for different types of data sets, depending on the study design underlying the data (referring back to Course 1, Understanding and Visualizing Data with Python). Different Study Designs Generate Different Types of Data: Implications for Modeling...
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Launch Your Online Course (with E-book)
by Rob Bal- 0.0
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36 mins on-demand video
The reason for this is that online course creators are making a full-time living selling their online courses. In order for the creator to make money off their online course, the course must have several attributes. Here is how to decide on the best topic for your online course. Is an Online Course Right for You...
$12.99
Python Data Structures
by Charles Russell Severance- 4.9
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Approx. 19 hours to complete
This course will introduce the core data structures of the Python programming language. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3. Reading: Welcome to Python Data Structures Welcome to Python 3 Notice for Auditing Learners: Assignment Submission Unit: Installing and Using Python...
Python 3 Programming A Step By Step Guide for Beginners
by Sekhar Srinivasan- 4.2
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8.5 hours on-demand video
Best Course To Learn Python 3 Programming for Beginners For over a decade, Python has been used in scientific computing and highly quantitative domains such as Data Science, Machine Learning, AI, IOT etc. Later in this course I will add additional modules such as Regular Expressions, Decorators, Packing and Modules Dynamic Loading, Python Essentials for Data Science and many more....
$11.99
