Probabilistic Graphical Models Coursera
Business Data Analytics & Intelligence with Python 2023
Become a Business Data Analyst. You’ll learn to use Python and the latest industry tools to make data-driven decisions.
Rating: 4.77273
Master statistics & machine learning: intuition, math, code
A rigorous and engaging deep-dive into statistics and machine-learning, with hands-on applications in Python and MATLAB.
Rating: 4.75368
Level 2- Quantitative Methods
Level II of the CFA® Program offered by CFA Institute, USA. This course covers the readings on Quantitative Methods.
Rating: 4.75
Network Tools CPM and PERT - Operations Research
The network tools of drawing the network and carrying out the calculations of critical path
Rating: 4.75
Probability for Statistics and Data Science
Probability for improved business decisions: Introduction, Combinatorics, Bayesian Inference, Distributions
Rating: 4.71795
Complete Vedic Astrology - Horoscope Reading & Prediction
Know Your Zodiac Sign, Planets placements, personality and major life events
Rating: 4.7
R Programming for Simulation and Monte Carlo Methods
Learn to program statistical applications and Monte Carlo simulations with numerous "real-life" cases and R software.
Rating: 4.55
Managing Options Positions in plain English
Rolling and adjusting your Options Positions to achieve consistently higher trading profits
Rating: 4.55
A Comprehensive Guide to Bayesian Statistics
Bayesian Inference, Prior & Posterior Distn, Bayesian Interval Estimation, Bayesian Hypothesis Testing & Decision Theory
Rating: 4.45
Advanced Options Concepts - Probability, Greeks, Simulation
Deep dive into Probability, Greek subtleties, and Options simulation. Learn how they affect Option prices and strategies
Rating: 4.25694
Theory of Gaussian Process Regression for Machine Learning
Introduction to a probabilistic modelling tool for Bayesian machine learning, with application in Python
Rating: 4.15
EIQ2 Coaching for Improved Performance and Superior Results
Emotional Intelligence for Coaching, Training and Development
Rating: 4.15
Project Costing with Monte Carlo Simulated Probabilities
Using @RISK to quantify project contingency considering price and quantity variations and risk events.
Rating: 4.1
Master Statistics & Probability 2020: Beginner-To-Advanced
Includes 100+ Meaningful Lectures, Homework Assignments, Quizzes, Comprehensive Exams & An Online Statistics Textbook!
Rating: 3.95
Quantitative Project Risk Register
Using @RISK's Monte Carlo simulation to overcome qualitative risk analysis weaknesses and flaws in project risk analysis
Rating: 3.8
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