Probability Courses and Certifications

Microcredential

Statistics and Data Science (Time Series and Social Sciences Track)

Master time series analysis with interventions for social sciences, economics, and policy-making. Analyze temporal data to drive informed decisions and formulate effective policies.

• edX
• On-Demand
• $1,500.00
• 3 courses

NPTEL;  IIT Kharagpur

Probability & Random Variables

Comprehensive exploration of probability theory, random variables, and stochastic processes, covering fundamental concepts to advanced topics like spectral analysis and adaptive filtering.

• YouTube
• 1 day 16 hours
• On-Demand
• Free Video

Microcredential

Finance

Comprehensive finance program covering modern finance, accounting, quantitative methods, and derivatives. Gain expertise for high-demand finance careers across industries. MIT Sloan-quality curriculum available online.

• edX
• 60 weeks, 10-14 hours a week
• On-Demand
• $2,250.00
• 4 courses

Microcredential

Data Science

Comprehensive data science program covering R programming, statistics, visualization, and machine learning through real-world case studies and hands-on projects.

• edX
• 66 weeks, 2-4 hours a week
• On-Demand
• $1,481.00
• 9 courses

The Organic Chemistry Tutor

Standard Normal Distribution Tables, Z Scores, Probability & Empirical Rule - Stats

Comprehensive tutorial on standard normal distributions, Z-scores, probability calculations, and statistical analysis techniques with practical examples and problem-solving approaches.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Microcredential

Learning Python for Data Science

Master Python for data science: from basics to machine learning and AI. Develop programming, statistical, and quantitative skills through hands-on learning. No prior coding experience needed.

• edX
• 25 weeks, 3-6 hours a week
• On-Demand
• $747.00
• 3 courses

Microcredential

Finance

Comprehensive finance program covering valuation, accounting, quantitative methods, and derivatives. Gain expertise for various finance careers through MIT Sloan's rigorous curriculum.

• edX
• 64 weeks, 10-14 hours a week
• On-Demand
• $3,294.00
• 4 courses

Delivery Problem

376 ratings at Coursera

Implement efficient Python programs for the traveling salesman problem, exploring exact and approximation algorithms while applying discrete mathematics concepts.

• Coursera
• 13 hours 23 minutes
• On-Demand
• Paid Course

Microcredential

AI and Machine Learning Essentials with Python

44 ratings at Coursera

Gain essential skills in AI, machine learning, and Python programming. Learn statistics, solve real-world problems, and prepare for advanced study in these cutting-edge fields.

• Coursera
• 16 weeks, 8 hours a week
• On-Demand
• Paid Course
• 3 courses

Risk and Financial Crises - Probability Theory in Financial Markets

Explore probability theory in financial crises context, covering expected value, variance, covariance, and regression analysis. Learn about risk decomposition and the limitations of normal distribution assumptions in finance.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Statistics for Data Science Essentials

12 ratings at Coursera

Enhance probability skills and learn data interpretation using central limit theorem and confidence intervals. Complete weekly math assignments to reinforce statistical concepts.

• Coursera
• 19 hours 21 minutes
• On-Demand
• Paid Course

QC051: Math Prerequisites for QC - Content moved to QC101

889 ratings at Udemy

THE CONTENTS OF THIS COURSE HAVE BEEN ADDED TO QC101. Purchase this course if you want only the math lessons

• Udemy
• 4 hours 14 minutes
• On-Demand
• Paid Course

The Power of Statistics

878 ratings at Coursera

Explore statistical concepts and techniques for data analysis, including descriptive and inferential statistics, probability, sampling, confidence intervals, and hypothesis testing using Python.

• Coursera
• 1 day 7 hours 10 minutes
• On-Demand
• Paid Course

Prediction Models with Sports Data

41 ratings at Coursera

Learn to forecast sports game outcomes using Python, focusing on logistic regression modeling with team expenditure data. Apply and evaluate models for EPL, NBA, and NHL, exploring betting odds and analytics.

• Coursera
• 1 day 9 hours 28 minutes
• On-Demand
• Paid Course

Statistics with Python Using NumPy, Pandas, and SciPy

Master statistical techniques with Python, using NumPy, Pandas, and SciPy for data science problems. Explore vector operations, probability, data distributions, linear relationships, and statistical inference.

• Coursera
• 19 hours 31 minutes
• On-Demand
• Paid Course