Search result for Probability and Statistics Online Courses & Certifications
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Machine Learning Algorithms: Supervised Learning Tip to Tail
by Anna Koop- 4.7
Approx. 9 hours to complete
Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode). Generalization and overfitting Understanding Classification with Decision Trees and k-NN...
Data Analysis in Social Science—Assessing Your Knowledge
by Esther Duflo , Sara Fisher Ellison- 0.0
4 Weeks
Learn the methods for harnessing and analyzing data to answer questions of cultural, social, economic, and policy interest, and then assess that knowledge-- Part of the MITx MicroMasters program in Statistics and Data Science. 310x - Data Analysis for Social Scientists , a statistics and data analysis course that will introduce you to the essential notions of probability and statistics....
$300
Prepare for CRE exam & certification
by Hemant Urdhwareshe- 4.7
Section III: Probability and Statistics for Reliability : 35 questions Section IV: Reliability Planning, Testing and Modeling : 35 questions...
$11.99
Introduction to Trading, Machine Learning & GCP
by Jack Farmer , Ram Seshadri- 4
Approx. 9 hours to complete
In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging). What is AI and ML ?...
Using Machine Learning in Trading and Finance
by Jack Farmer , Ram Seshadri- 4
Approx. 19 hours to complete
You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging). Welcome to Using Machine Learning in Trading and Finance Components of tensorflow Tensors and Variables Getting Started with Google Cloud Platform and Qwiklabs...
Reinforcement Learning for Trading Strategies
by Jack Farmer , Ram Seshadri- 3.7
Approx. 12 hours to complete
In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging)....
Probability and Statistics II: Random Variables – Great Expectations to Bell Curves
by David Goldsman- 0.0
4 Weeks
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. When you’re done, 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....
$199
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Probability and Statistics II: Random Variables – Great Expectations to Bell Curves
by David Goldsman- 0.0
4 Weeks
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. When you’re done, 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....
$199
Applied Statistics with Python
by Ben Tasker , David Sze- 0.0
16 Weeks
Analyze data using statistical methods and technology. This course specifically explores inferential statistics - the science of applying statistical techniques to quantify and answer real-world data analysis questions. The content covers three components – descriptive statistics and probability, hypothesis tests and confidence intervals and linear regression analysis. Represent data numerically and visually...
$498
Fundamentals of Engineering Exam Review
by Dr. Philip Roberts- 4.7
Approx. 22 hours to complete
It will be presented in modules corresponding to the FE topics, particularly those in Civil and Mechanical Engineering. Analytic Geometry and Trigonometry: Straight Lines Analytic Geometry and Trigonometry: Polynomials and Conics Probability and Statistics Probability and Statistics Supplemental Questions Pumps and Turbines Pumps and Turbines Continued Hydraulics and Hydrological Systems Static Determinacy: Trusses and Beams...