Analysis

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Advanced Business Analysis: Elicitation & Analysis (Coursera)

Apr 22nd 2024
Advanced Business Analysis: Elicitation & Analysis (Coursera)
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This advanced business analysis course is tailored for experienced professionals looking to deepen their skills in elicitation and requirements analysis. Learners will delve into the intricacies of gathering, documenting, and analyzing requirements, along with mastering advanced techniques such as interviews, use cases, process modeling, and financial analysis. [...]
Apr 22nd 2024
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45.00 EUR/month

The Control Phase for the 6 σ Black Belt (Coursera)

Apr 22nd 2024
The Control Phase for the 6 σ Black Belt (Coursera)
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This course is designed for professionals interested in learning the principles of Lean Sigma, the DMAIC process and DFSS. This course is number 7 of 8 in this specialization dealing with topics in the Control Phase of Six Sigma. Professionals with some completed coursework in statistics and a [...]

Introduction to Statistics (Coursera)

Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You [...]

Data – What It Is, What We Can Do With It (Coursera)

This course introduces students to data and statistics. By the end of the course, students should be able to interpret descriptive statistics, causal analyses and visualizations to draw meaningful insights. The course first introduces a framework for thinking about the various purposes of statistical analysis. We’ll talk [...]

Random Models, Nested and Split-plot Designs (Coursera)

Many experiments involve factors whose levels are chosen at random. A well-know situation is the study of measurement systems to determine their capability. This course presents the design and analysis of these types of experiments, including modern methods for estimating the components of variability in these systems. The [...]

Mathematics for Machine Learning: PCA (Coursera)

This intermediate-level course introduces the mathematical foundations to derive Principal Component Analysis (PCA), a fundamental dimensionality reduction technique. We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances and angles between vectors using inner products and derive orthogonal projections of data onto [...]

Investment Strategies and Portfolio Analysis (Coursera)

In this course, you will learn about latest investment strategies and performance evaluation. You will start by learning portfolio performance measures and discuss best practices in portfolio performance evaluation. You will explore different evaluation techniques such as style analysis and attribution analysis and apply them to evaluate different investment [...]

Introduction to Mathematical Thinking (Coursera)

Learn how to think the way mathematicians do - a powerful cognitive process developed over thousands of years. Mathematical thinking is not the same as doing mathematics – at least not as mathematics is typically presented in our school system. School math typically focuses on learning procedures to solve [...]