Data Science Courses and Certifications

Career Certificate

Data-Driven Decision-Making for Agile Organizations

59 ratings at Coursera

Design agile dashboards, interpret data for actionable insights, and apply decision-making frameworks to monitor KPIs, anticipate trends, and optimize performance in complex environments.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course
• 3 courses

Career Certificate

Microsoft Data Visualization

204 ratings at Coursera

Learn to prepare and clean data with Power Query, build models using DAX, and create interactive Power BI reports, dashboards, and AI-assisted visualizations.

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

Machine Learning & Python Data Science for Business and AI

57 ratings at Udemy

Learn Python Programming, Data Analysis, and Machine Learning Techniques to Solve Real World Business Challenges with AI

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

Web Applications and Command-Line Tools for Data Engineering

43 ratings at Coursera

Build data engineering tools: run Jupyter notebooks locally and in Colab/SageMaker, deploy a containerized FastAPI microservice, and package a Click command-line tool.

• Coursera
• 4 weeks, 11 hours a week
• Self-Paced
• Paid Course

SUNY;  University at Buffalo Career Certificate

Data-Driven Decision Making (DDDM)

540 ratings at Coursera

Learn to steer organizational choices with data: analyze process maps, apply statistical process control, build metrics dashboards, and tie operations metrics to performance.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Python for Data Science Project

50 ratings at edX

This mini-course is intended for you to demonstrate foundational Python skills for working with data.

• edX
• 1 week, 4-5 hours a week
• Self-Paced
• Free Online Course (Audit)

Career Certificate

Analytics for Decision Making

309 ratings at Coursera

Formulate decisions from data: build predictive models to estimate parameters, then apply linear optimization, advanced models, and simulation to solve constrained decision problems.

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

Data Visualization and Transformation with R

32 ratings at Coursera

Explore, transform, and visualize data in R: build ggplot2 graphics, wrangle data with dplyr, and create reproducible Quarto reports versioned with Git and GitHub.

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

Data Visualization with Python

30 ratings at Coursera

Build histograms, scatterplots, and line plots across Excel and Google Sheets, Pandas, Seaborn, Matplotlib, Plotly, Dash, Streamlit, Tableau, and Amazon QuickSight.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Agile Dashboards for Data-Driven Decision-Making

29 ratings at Coursera

Build agile dashboards that track speed, interactivity, and pivoting, using key performance metrics and financial levers to assess business health and decide quickly.

• Coursera
• 2 hours 36 minutes
• Self-Paced
• Paid Course

Great Learning

IPL Data Analysis Using EDA - Exploratory Data Analysis Case Study

8 ratings

Learn exploratory data analysis through a practical IPL dataset case study using Python, including preprocessing, multivariate analysis, and box plots.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Data Pipelines with TensorFlow Data Services

536 ratings at Coursera

Perform ETL with TensorFlow Data Services: load datasets, build train/validation/test splits, remove input bottlenecks, and publish your own datasets to TensorFlow Hub.

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

Advanced Data Engineering

26 ratings at Coursera

Scale data systems with Celery and RabbitMQ queues, Apache Airflow workflows, MySQL, and vector, graph and key/value databases, then apply them in hands-on projects.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Web Scraping with Python

19 ratings at Coursera

Build Scrapy spiders to pull data from sites with no API: analyze complex HTML, write XPath queries, and code defensively against changing page structures.

• Coursera
• 5 hours 5 minutes
• Self-Paced
• Paid Course

Ethics in AI and Data Science

27 ratings at edX

Learn how to build and incorporate ethical principles and frameworks in your AI and Data Science technology and business initiatives to add transparency, build trust, drive adoption, and lead with tru

• edX
• 6 weeks, 1-2 hours a week
• Self-Paced
• Free Certificate