Data Science Courses and Certifications

Career Certificate

Data Scientist: Inference Specialist

Master statistical inference, A/B testing, and causal analysis using Python, SQL, and R to become an expert at drawing meaningful conclusions from data experiments.

• Codecademy
• 85 hours
• Self-Paced
• Free Trial Available

Career Certificate

Cloud Computing for Data Science

Master cloud technologies for scalable data solutions through distributed systems, APIs, containerization, and big data processing with Hadoop and Spark.

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

Coursera

SQL for Data Science (and Version Control with GitHub)

Master SQL fundamentals and advanced techniques for data science, including database optimization, AI-enhanced workflows, and version control with GitHub through hands-on projects.

• Coursera
• 1 day 5 hours 20 minutes
• Self-Paced
• Paid Course

Coursera

Statistics For Data Science

This is a hands-on project to give you an overview of how to use statistics in data science.

• Coursera
• 1 hour 52 minutes
• Self-Paced
• Paid Course

Generative AI for Data Science with Copilot

Explore generative AI in data science using Microsoft Copilot. Learn key concepts, practical applications, and ethical considerations while enhancing your AI-driven data analysis skills.

• Coursera
• 6 hours 54 minutes
• Self-Paced
• Paid Course

MathWorks

Data Science Project: MATLAB for the Real World

Apply data science skills to real-world problems using MATLAB. Explore, process, analyze, and model data through a hands-on project. Develop expertise in feature engineering, machine learning, and result communication.

• Coursera
• 13 hours 12 minutes
• Self-Paced
• Paid Course

Career Certificate

Marketing e Data Science

Desenvolva habilidades para analisar consumidores, mercado e concorrentes, aplicando estratégias de marketing baseadas em Data Science para tomada de decisões estratégicas e orientadas ao mercado digital.

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

Ball State University

Statistical Methods for Data Science

Master statistical methods and probability theory for data science through hands-on applications in R, covering distributions, inference, multivariate analysis, and real-world problem-solving techniques.

• Coursera
• 1 day 15 hours 59 minutes
• Self-Paced
• Paid Course

Generative AI for Data Science

Unlock GenAI's potential in data science: enhance accuracy, efficiency, and innovation. Learn key applications, tackle real-world challenges, and address ethical considerations in this comprehensive course.

• Coursera
• 3 hours 17 minutes
• Self-Paced
• Paid Course

Edureka

Power BI for Data Science and Analytics

Master Power BI for data analytics: create insightful visualizations, leverage AI features, centralize data with dataflows, and design effective scorecards to extract valuable insights and display key metrics.

• Coursera
• 14 hours 26 minutes
• Self-Paced
• Paid Course

University of Victoria

Music Retrieval Systems

Explore music information retrieval tasks, from recommendation systems to audio fingerprinting, using digital signal processing and machine learning concepts for advanced audio analysis.

• Kadenze
• 50 hours
• Self-Paced
• Free Online Course

Packt

Foundations of Data Science and Machine Learning with Python

Master Python, data analysis, and machine learning fundamentals. Explore advanced algorithms and deep learning for NLP applications. Develop skills for implementing and optimizing ML models in NLP tasks.

• Coursera
• 18 hours 56 minutes
• Self-Paced
• Paid Course

Packt

Python Fundamentals and Data Science Essentials

Master Python fundamentals and essential data science skills. Learn data analysis with NumPy and Pandas, explore machine learning concepts, and apply knowledge through practical case studies.

• Coursera
• 16 hours 24 minutes
• Self-Paced
• Paid Course

Coursera

Snowflake for Data Science: Intro to Snowpark ML for Python

Learn to build end-to-end machine learning workflows using Snowpark ML for Python. Master data preprocessing, model training, and deployment in Snowflake's data cloud environment.

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

Packt

R Programming for Statistics and Data Science

Master R programming for data analysis and visualization. Learn statistical techniques, hypothesis testing, and regression modeling to extract insights from real-world datasets and make data-driven decisions.

• Coursera
• 8 hours 51 minutes
• Self-Paced
• Paid Course