Data Analysis Courses and Certifications

Python Programming Mastery: From Beginner to Pro

1000 ratings at Udemy

Python Pro: Master Programming and Problem-Solving Skills

• Udemy
• 6 hours 48 minutes
• Self-Paced
• Paid Course

Data-Driven Marketing: Interpretation, Storytelling and the Future of Market Research

Fuel the future of market research as a data storyteller in this course from the University of Cape Town.

• edX
• 4 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Leveraging Customer Insights and Data

Navigate market metrics, and perform effective and ethical research in this course from the University of Cape Town.

• edX
• 4 weeks, 2-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Microcredential

SAS Programmer

Develop data manipulation and analysis skills using SAS, preparing for Base Programming Specialist certification through hands-on practice with real-world scenarios.

• Coursera
• 22 weeks, 4 hours a week
• Self-Paced
• Paid Course
• 3 courses

Basics of Data Science

Comprehensive introduction to data science fundamentals, covering analysis techniques, tools, and ethical considerations. Includes hands-on Python exercises for practical application of concepts.

• edX
• 9 weeks, 5-11 hours a week
• Self-Paced
• Free Online Course (Audit)

Statistical and Probabilistic Foundations of AI

Explore statistical foundations of AI, covering data analysis, probability theory, and inferential statistics. Gain practical skills using R for visualization and analysis of real-world data.

• edX
• 7 weeks, 6-7 hours a week
• Self-Paced
• Free Online Course (Audit)

Microcredential

SAS Visual Business Analytics

Learn to access, analyze, and visualize data using SAS Visual Analytics. Develop skills in interactive reporting, dashboard design, and advanced analytics techniques for various business and research applications.

• Coursera
• 13 weeks, 3 hours a week
• Self-Paced
• Paid Course
• 5 courses

Introductory Statistics : Analyzing Data Using Graphs and Statistics

This course teaches basic statistical concepts andexplores many compelling applications of statistical methodsusing real-life applications of Statistics.

• edX
• 5 weeks, 1-2 hours a week
• Self-Paced
• Free Online Course (Audit)

Degree

Digital Transformation

Build out the data analytics, artificial intelligence, and machine learning capabilities your organization needs by leveraging the theories and strategies of platform design management and strategy.

• Coursera
• 24 weeks, 8-10 hours a week
• Self-Paced
• Paid Course

Microcredential

IBM Machine Learning

Comprehensive program covering key machine learning types, algorithms, and applications. Develop practical skills using open-source frameworks for a career in AI and data science.

• Coursera
• 30 weeks, 3 hours a week
• Self-Paced
• Paid Course
• 6 courses

CLEP Natural Sciences: Study Guide & Test Prep

Comprehensive prep for CLEP Natural Sciences exam, covering physics, chemistry, astronomy, geology, and biology. Includes practice tests and quizzes to simulate exam structure and boost confidence.

• Study.com
• 31 hours
• Self-Paced
• Paid Course

The University of Texas Medical Branch

Biostatistics for Big Data Applications

Learn data analysis basics for working with biomedical big data with practical hands-on examples using R.

• edX
• 8 weeks, 2-3 hours a week
• Self-Paced
• Free Online Course (Audit)

Bayesian Statistics: Capstone Project

Apply Bayesian statistics to real-world data through conjugate analysis, model selection, and location mixture models. Demonstrate mastery of concepts and conduct a peer-reviewed data analysis project.

• Coursera
• 11 hours 40 minutes
• Self-Paced
• Paid Course

Statistics Using Python

Learn the fundamentals of statistics using Python.

• edX
• 8 weeks, 12-15 hours a week
• Self-Paced
• Free Online Course (Audit)

Microcredential

Accounting Data Analytics

Develop an analytics mindset and master data analytics tools in accounting, from Excel to Python, covering visualization, analysis, and machine learning applications.

• Coursera
• 30 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 4 courses