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Advanced Portfolio Construction and Analysis with Python
by Lionel Martellini, PhD , Vijay Vaidyanathan, PhD- 4.8
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Approx. 11 hours to complete
If you follow along and implement all the lab exercises, you will complete the course with a powerful toolkit that you will be able to use to perform your own analysis and build your own implementations and perhaps even use your newly acquired knowledge to improve on current methods. Factor benchmarks and Style analysis Black-Litterman Analysis...
Valuation and Financial Analysis For Startups Capstone
by Hyun Han Shin- 0.0
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Approx. 7 hours to complete
Be doing this Capstone project, you will complete your understanding of valuation and financial analysis of startups. Specialization RFP for Startup Valuation and Financial Analysis...
Big Data Analysis with Scala and Spark
by Prof. Heather Miller- 4.7
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Approx. 28 hours to complete
- express algorithms for data analysis in a functional style,...
Bayesian Statistics: From Concept to Data Analysis
by Herbert Lee- 4.6
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Approx. 12 hours to complete
This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. Data analysis example in R Data analysis example in Excel R and Excel code from example analysis...
Social and Economic Networks: Models and Analysis
by Matthew O. Jackson- 4.8
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Approx. 30 hours to complete
Optional: Empirical Analysis of Network Data using Gephi or Pajek Optional: Empirical Analysis of Network Data Optional: Empirical Analysis of Network Data Optional: Empirical Analysis of Network Data...
Foundations for Big Data Analysis with SQL
by Glynn Durham- 4.8
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Approx. 12 hours to complete
SQL Tools for Big Data Analysis SQL Tools for Big Data Analysis Recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis...
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 introduces you to the necessary sections of probability theory and statistics, guiding you from the very basics all way up to the level required for jump starting your ascent in Data Science. The core concept of the course is random variable — i....
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Survival Analysis in R for Public Health
by Alex Bottle- 4.5
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Approx. 11 hours to complete
Welcome to Survival Analysis in R for Public Health! Survival Analysis Variables Describe a data set from scratch, using descriptive statistics and simple graphical methods as a necessary first step for more advanced analysis...
Wine Tasting: Sensory Techniques for Wine Analysis
by John Buechsenstein- 4.7
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Approx. 14 hours to complete
Wine Tasting: Sensory Techniques For Wine Analysis Descriptive Analysis...
Surveillance Systems: Analysis, Dissemination, and Special Systems
by Stefan Baral, MD, MPH, MBA, FRCPC- 4.7
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Approx. 6 hours to complete
Surveillance Analysis Overview Methodological Considerations in Surveillance Analysis Summary of Analysis and Interpretation of Surveillance Data...
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