Data Science Courses and Certifications

Microcredential

Data Analysis with Python

29 ratings at Coursera

Comprehensive overview of data analysis techniques using Python, covering classification, regression, clustering, and more. Includes hands-on examples and a final project.

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

Introduction to Time Series Analysis and Forecasting in R

2812 ratings at Udemy

Work with time series and all sorts of time related data in R - Forecasting, Time Series Analysis, Predictive Analytics

• Udemy
• 8 hours 33 minutes
• Self-Paced
• Paid Course

Learn Bioinformatics From Scratch (Theory & Practical)

2812 ratings at Udemy

Best Bioinformatics course for Students, Academia and Industry Professionals to learn Bioinformatics and biological data

• Udemy
• 8 hours 30 minutes
• Self-Paced
• Paid Course

From Data to Decisions: Getting Started with AI

20 ratings at Coursera

Gain insights into leveraging generative AI for data analysis, from structuring research questions to identifying variables and generating meaningful insights for better decision-making.

• Coursera
• 4 hours 6 minutes
• Self-Paced
• Paid Course

Big Data Technology Capstone Project

The Big Data Technology Capstone Project will allow you to apply the techniques and theory you have gained from the four courses in this MicroMasters program to a medium-scale project.

• edX
• 4 weeks, 4-8 hours a week
• Self-Paced
• Free Online Course (Audit)

Microcredential

Big Data Technology

Comprehensive program covering data analytics, mining, processing, and mathematical foundations. Gain hands-on experience with Spark and apply knowledge in a capstone project.

• edX
• 36 weeks, 5-9 hours a week
• Self-Paced
• $1,825.00
• 5 courses

Break out of Excel and into Tableau in 90 Minutes

2789 ratings at Udemy

Unleash the Power of Data Visualization to Grow Your Career

• Udemy
• 1 hour 14 minutes
• Self-Paced
• Paid Course

Generalized Linear Models and Nonparametric Regression

21 ratings at Coursera

Explore advanced statistical modeling tools including GLMs, nonparametric regression, and GAMs. Learn to apply these techniques for classification, data analysis, and ethical decision-making in data science.

• Coursera
• 1 day 18 hours 4 minutes
• Self-Paced
• Paid Course

Fundamental Tools of Data Wrangling

20 ratings at Coursera

Learn essential data wrangling tools: Python, data structures, NumPy, and pandas. Gain hands-on experience in manipulating, cleaning, and analyzing data for effective preparation and valuable insights.

• Coursera
• 1 day 2 hours 42 minutes
• Self-Paced
• Paid Course

Apache Flink | A Real Time & Hands-On course on Flink

2732 ratings at Udemy

A Complete In-depth and Hands-On course on a technology better than Spark for Stream processing i.e. Apache Flink

• Udemy
• 5 hours 50 minutes
• Self-Paced
• Paid Course

From Data to Decisions: Making Predictions with AI

17 ratings at Coursera

Master predictive analytics using AI tools to run regression models, interpret statistical outputs, and transform raw data into actionable business insights and accurate forecasts.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

Applied Quantum Computing III: Algorithm and Software

Learn domain-specific quantum algorithms and how to run them on present-day quantum hardware.

• edX
• 5 weeks, 7-8 hours a week
• Self-Paced
• Free Online Course (Audit)

Big Data for Reliability and Security

This course teaches the principles and practices of big data for improving the reliability and the security of computing systems. It exemplifies the principles through real-world examples and provides challenging programming problems based on novel datas…

• edX
• 6 weeks, 6-8 hours a week
• Self-Paced
• Free Online Course (Audit)

Data Analysis in Power BI with ChatGPT and Microsoft Copilot

2706 ratings at Udemy

Leverage the power of artificial intelligence for Power BI and maximize your data query and report-building skills

• Udemy
• 1 hour 27 minutes
• Self-Paced
• Paid Course

Regression and Classification

16 ratings at Coursera

Explore statistical modeling concepts, including regression, classification, and unsupervised techniques. Learn when to use specific models, how to tune them, and understand trade-offs for informed decision-making.

• Coursera
• 1 day 10 hours 50 minutes
• Self-Paced
• Paid Course