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Entrepreneurship Strategy: From Ideation to Exit
by Ambroise Huret- 4.8
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Approx. 19 hours to complete
This course covers in the chronological order each defining step of an entrepreneurial project. It begins with very personal considerations related to getting to better know yourself better so as to decide if you are ready for the multiple challenges of entrepreneurship. We then describe very practical techniques to initiate the international development of a small company....
Business Application of Machine Learning and Artificial Intelligence in Healthcare
by Craig Johnson- 4.1
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Approx. 12 hours to complete
Identify opportunities for business applications in healthcare by applying journey mapping and pain point analysis in a real world context. Identify opportunities for business applications in healthcare by applying journey mapping and pain point analysis in a real world context...
Finance For Everyone: Value
by Arshad Ahmad- 4.7
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Approx. 10 hours to complete
We’ll even connect evidence-based science with common-sense analysis to give you better tools for understanding why values are what they are, and for positioning yourself more effectively to participate in financial markets....
Biology Meets Programming: Bioinformatics for Beginners
by Pavel Pevzner , Phillip Compeau- 4.3
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Approx. 19 hours to complete
Are you interested in learning how to program (in Python) within a scientific setting? This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gently-paced introduction to our Bioinformatics Specialization (https://www. coursera. coursera. org/learn/dna-analysis)....
Applied Plotting, Charting & Data Representation in Python
by Christopher Brooks- 4.5
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Approx. 20 hours to complete
This course should be taken after Introduction to Data Science in Python and before the remainder of the Applied Data Science with Python courses: Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python....
Bayesian Statistics: Mixture Models
by Abel Rodriguez- 4.7
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Approx. 22 hours to complete
Linear and quadratic discriminant analysis in the context of Mixture Models...
Genomic Data Science and Clustering (Bioinformatics V)
by Pavel Pevzner , Phillip Compeau- 4.2
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Approx. 10 hours to complete
In the second half of the course, we will introduce another classic tool in data science called principal components analysis that can be used to preprocess multidimensional data before clustering in an effort to greatly reduce the number dimensions without losing much of the "signal" in the data....
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Biological Diversity (Theories, Measures and Data sampling techniques)
by Roberto Cazzolla Gatti- 4.2
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Approx. 9 hours to complete
- and applying their analysis to ecological and conservation problems. Statistics applied to the analysis of biodiversity...
Visualizing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
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Approx. 17 hours to complete
Similarly, once you’ve completed your analysis and are ready to present your findings, data visualizations are a highly effective way to communicate your results to others. Exploratory Data Analysis (EDA) Exploratory Data Analysis (EDA)...
Modeling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
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Approx. 21 hours to complete
Developing insights about your organization, business, or research project depends on effective modeling and analysis of the data you collect. Descriptive and Exploratory Data Analysis...
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