Probability Courses and Certifications

Credential

Data Literacy

267 ratings at Coursera

Develop critical skills in interpreting statistical results through descriptive statistics, data visualization, measurement, regression modeling, and probability, enhancing your ability to evaluate quantitative analyses.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Mathematical Methods for Quantitative Finance

Learn the mathematical foundations essential for financial engineering and quantitative finance: linear algebra, optimization, probability, stochastic processes, statistics, and applied computational techniques in R.

• edX
• 12 weeks, 10-14 hours/week
• Self-Paced
• Free Online Course (Audit)

Credential

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
• Self-Paced
• $2,250.00
• 4 courses

Credential

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/week
• Self-Paced
• $1,481.00
• 9 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
• Self-Paced
• Free Video

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
• Self-Paced
• Free Video

Credential

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/week
• Self-Paced
• $3,294.00
• 4 courses

Credential

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/week
• Self-Paced
• $747.00
• 3 courses

Credential

Statistics and Data Science (Methods Track)

Master advanced statistical methods and data science techniques for rigorous analysis, informed decision-making, and evidence-based practices across industries with MIT's comprehensive program.

• edX
• 66 weeks, 10-14 hours/week
• Self-Paced
• $1,500.00
• 4 courses

Credential

Statistics and Data Science (Social Sciences Track)

Master data science for social sciences with MIT's program covering probability, machine learning, statistics, and data analysis to solve complex social, economic, and policy challenges.

• edX
• 56 weeks, 10-14 hours/week
• Self-Paced
• $1,500.00
• 3 courses

Credential

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
• 53 weeks, 10-14 hours/week
• Self-Paced
• $1,500.00
• 3 courses

Credential

Statistics and Data Science (General Track)

Master data science fundamentals with MIT's program covering probability, machine learning, statistics, and data analysis, preparing you to solve complex challenges and drive decision-making across industries.

• edX
• 68 weeks, 10-14 hours/week
• Self-Paced
• $1,500.00
• 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
• Self-Paced
• Paid Course

Credential

AI and Machine Learning Essentials with Python

47 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/week
• Self-Paced
• 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
• Self-Paced
• Free Video