Data Science Courses and Certifications

Advanced Linear Models for Data Science 1: Least Squares

190 ratings at Coursera

Explore advanced linear algebra and statistics for data science, focusing on least squares regression, matrix algebra, and linear models to enhance your analytical skills and understanding.

• Coursera
• 8 hours 27 minutes
• On-Demand
• Paid Course

Microcredential

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
• On-Demand
• $1,500.00
• 4 courses

Microcredential

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
• On-Demand
• $1,500.00
• 4 courses

Microcredential

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
• On-Demand
• $1,500.00
• 3 courses

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

Microcredential

Statistics and Data Science

Comprehensive program covering probability, statistics, data analysis, and machine learning, providing hands-on training for aspiring data scientists through rigorous MIT-quality coursework.

• edX
• 56 weeks, 10-14 hours a week
• On-Demand
• $1,500.00
• 2 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

Advanced Linear Models for Data Science 2: Statistical Linear Models

107 ratings at Coursera

Explore advanced linear algebra and statistical concepts for regression modeling, enhancing your understanding of least squares, multivariate distributions, and residual analysis.

• Coursera
• 5 hours 40 minutes
• On-Demand
• Paid Course

Python Development & Data Science: Variables and Data Types

893 ratings at Udemy

Python Development, Data Science: Variables and Data Types Course by MTF Institute

• Udemy
• 1 hour 25 minutes
• On-Demand
• Paid Course

Python for Data Science & Machine Learning: Zero to Hero

860 ratings at Udemy

Master Data Science & Machine Learning in Python: Numpy, Pandas, Matplotlib, Scikit-Learn, Machine Learning, and more!

• Udemy
• 6 hours 1 minute
• On-Demand
• Paid Course

Microcredential

Data Science for Health Research

12 ratings at Coursera

Learn to organize, visualize, and analyze health data using R for statistical modeling, linear regression, and logistic regression to make data-informed decisions in public health.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Microcredential

More Applied Data Science with Python

10 ratings at Coursera

Master advanced Python data analysis techniques including data mining, clustering, network modeling, and information extraction using real-world datasets and machine learning libraries.

• Coursera
• 12 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

Data Science and Machine Learning Basic to Advanced

812 ratings at Udemy

Complete Introduction to Data Science and Machine Learning from Basic to Advanced.

• Udemy
• 5 hours
• On-Demand
• Paid Course

Code Free Data Science

216 ratings at Coursera

Gain essential data science skills using KNIME Analytics Platform. Learn predictive modeling, data manipulation, and machine learning without coding. Apply algorithms to real data and interpret results.

• Coursera
• 14 hours 17 minutes
• On-Demand
• Paid Course

Data Science Decisions in Time: Using Data Effectively

Learn to make optimal decisions using data streams, from simple to complex, covering Wald's model, Thompson sampling, change points, Markov chains, and Markov decision processes for effective data analysis and decision-making.

• Coursera
• 1 day 1 hour 10 minutes
• On-Demand
• Paid Course