Graeme Malcolm ɟo ǝƃaɯI
Graeme Malcolm
Senior Content Developer
Microsoft Learning Experiences
Graeme has been a trainer, consultant, and author for longer than he cares to remember, specializing in SQL Server and the Microsoft data platform. He is a Microsoft Certified Solutions Expert for the SQL Server Data Platform and Business Intelligence. After years of working with Microsoft as a partner and vendor, he now works in the Microsoft Learning Experiences team as a senior content developer, where he plans and creates content for developers and data professionals who want to get the best out of Microsoft technologies.

Graeme Malcolm ʎq ʇɥƃnaʇ sǝsɹnoↃ

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Dynamic Energy Modelling of Buildings: Thermal Simulation

<p>Understand the dynamics of buildings’ thermal behavior and learn how to optimize their design and operation through thermal modeling.</p>

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Dynamic Energy Modelling of Buildings: Thermal Simulation

<p>Understand the dynamics of buildings’ thermal behavior and learn how to optimize their design and operation through thermal modeling.</p>

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Computing for Data Analysis

<p>A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning.</p>

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Introduction to Analytics Modeling

<p>Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.</p>

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Probability and Statistics I: A Gentle Introduction to Probability

<p>This course provides an introduction to basic probability concepts. Our emphasis is on applications in science and engineering, with the goal of enhancing modeling and analysis skills for a variety of real-world problems.</p>

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Probability and Statistics II: Random Variables – Great Expectations to Bell Curves

<p>This course discusses properties and applications of random variables. For instance, how many customers are likely to arrive in the next hour? What’s the probability that a lightbulb will last more than a year?</p> <p>When you’re done with this course, you’ll have enough firepower to undertake a wide variety of modeling and analysis problems; and you’ll be well-prepared for the upcoming Statistics courses.</p>

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Probability and Statistics III: A Gentle Introduction to Statistics

<p>This course provides an introduction to basic statistical concepts. We begin by walking through a library of probability distributions – including the normal distribution, which in turn leads to the Central Limit Theorem. We then discuss elementary descriptive statistics and estimation methods.</p>

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Probability and Statistics IV: Confidence Intervals and Hypothesis Tests

<p>This course covers two important methodologies in statistics – <em>confidence intervals</em> and <em>hypothesis testing</em>. Confidence intervals allow us to make probabilistic statements such as: “We are 95% sure that Candidate Smith’s popularity is 52% +/- 3%.” Hypothesis testing allows us to pose hypotheses and test their validity in a statistically rigorous way. For instance, “Does a new drug result in a higher cure rate than the old drug?"</p>

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Linear Algebra I: Linear Equations

<p>This course takes you through the first three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology.</p>

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Linear Algebra II: Matrix Algebra

<p>This course takes you through roughly three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology.</p>

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Linear Algebra III: Determinants and Eigenvalues

<p>This course takes you through roughly three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology.</p>

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Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD

<p>This course takes you through roughly five weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology.</p>

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Data Analytics for Business

<p>This course prepares students to understand business analytics and become leaders in these areas in business organizations.</p>

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Introduction to Analytics Modeling

<p>Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.</p>

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Probability and Statistics I: A Gentle Introduction to Probability

<p>This course provides an introduction to basic probability concepts. Our emphasis is on applications in science and engineering, with the goal of enhancing modeling and analysis skills for a variety of real-world problems.</p>

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Probability and Statistics II: Random Variables – Great Expectations to Bell Curves

<p>This course discusses properties and applications of random variables. For instance, how many customers are likely to arrive in the next hour? What’s the probability that a lightbulb will last more than a year?</p> <p>When you’re done with this course, you’ll have enough firepower to undertake a wide variety of modeling and analysis problems; and you’ll be well-prepared for the upcoming Statistics courses.</p>

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Probability and Statistics III: A Gentle Introduction to Statistics

<p>This course provides an introduction to basic statistical concepts. We begin by walking through a library of probability distributions – including the normal distribution, which in turn leads to the Central Limit Theorem. We then discuss elementary descriptive statistics and estimation methods.</p>

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Probability and Statistics IV: Confidence Intervals and Hypothesis Tests

<p>This course covers two important methodologies in statistics – <em>confidence intervals</em> and <em>hypothesis testing</em>. Confidence intervals allow us to make probabilistic statements such as: “We are 95% sure that Candidate Smith’s popularity is 52% +/- 3%.” Hypothesis testing allows us to pose hypotheses and test their validity in a statistically rigorous way. For instance, “Does a new drug result in a higher cure rate than the old drug?"</p>

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Linear Algebra I: Linear Equations

<p>This course takes you through the first three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology.</p>

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Linear Algebra II: Matrix Algebra

<p>This course takes you through roughly three weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology.</p>