Forensic Science Courses

Data Science I: Essential Tools (Live Online)

Gain insights into Python data science essentials, from basic programming to advanced Pandas techniques, NumPy operations, and data visualization using Matplotlib and Seaborn.

• CourseHorse
• 16 hours
• Self-Paced
• $2,385.00

Praxis 5652 Study Guide - Computer Science Exam Prep

Master computer science concepts and test-taking strategies to excel on the Praxis 5652 certification exam with comprehensive preparation materials and practice questions.

• Study.com
• Self-Paced
• Paid Course

MTTC 137 Study Guide - Science (5-9) Exam Prep

Master essential science concepts and teaching strategies to confidently pass the MTTC 137 certification exam for grades 5-9 science education.

• Study.com
• 16 hours 32 minutes
• Self-Paced
• Paid Course

Coursera

Advanced Data Science Techniques (with AWS Integration)

Master sophisticated ML models and AWS deployment through hands-on projects covering feature engineering, time series analysis, and cloud-based machine learning pipelines.

• Coursera
• 1 day 5 hours 29 minutes
• Self-Paced
• Paid Course

Coursera

Building a Real-World Data Science Solution

Transform theoretical knowledge into practical expertise in this comprehensive project-based course designed for aspiring data professionals. Through an end-to-end project using synthetic customer support data (designed to mirror real-world scenarios) ,…

• Coursera
• 23 hours 21 minutes
• Self-Paced
• Paid Course

Packt

NumPy, Matplotlib & Pandas – Data Science Prerequisites

Master essential Python data science libraries: NumPy for numerical computing, Matplotlib for visualization, and Pandas for data manipulation, plus introductions to SciPy and machine learning fundamentals.

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

Mastering Generative AI for Data Science

This course helps you master generative AI skills to enhance data science workflows, improve data preparation, and refine machine learning models with real-world applications.

• edX
• 3 weeks, 3-5 hours/week
• Self-Paced
• Free Online Course (Audit)

Credential

Data Science and Visualization

Master data science using Python, Scikit-Learn, and Tableau. Learn preprocessing, supervised and unsupervised learning algorithms, and data visualization techniques with real datasets to develop practical skills for predictive analytics.

• edX
• 20 weeks, 5-7 hours/week
• Self-Paced
• $845.00
• 2 courses

MTTC Science 7-12 (138) Study Guide and Test Prep

Master essential science concepts and teaching strategies to excel on the MTTC Science 7-12 certification exam with comprehensive study materials and practice tests.

• Study.com
• Self-Paced
• Paid Course

Fred Hutchinson Cancer Center

Making Science Reproducible - A Capstone Course

Master reproducible research workflows through hands-on Docker containerization, GitHub secrets management, and automated testing with GitHub Actions for scientific computing.

• Coursera
• 7 hours 46 minutes
• Self-Paced
• Paid Course

Packt

Learn the Art and Science of PCB Design with Eagle

Master PCB design with Eagle software through hands-on projects, from basic schematics to advanced double-sided boards, custom components, and manufacturing-ready outputs for professional electronic circuits.

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

Data Science Fundamentals Part 1: Unit 1

Discover data science fundamentals through Python, building real projects like an Airbnb recommender while mastering pandas, NumPy, and scikit-learn with authentic datasets.

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

Data Science Fundamentals Part 1: Unit 2

Discover real-world data sourcing through web scraping, APIs, and databases while mastering XML/JSON parsing and ETL pipelines for effective data transformation and analysis.

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

Data Science Fundamentals Part 1: Unit 3

Master relational databases, ORMs, ETL pipelines, and data validation using Pandas to build robust data management systems and uncover meaningful insights from datasets.

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

Data Science Fundamentals Part 2: Unit 1

Master Python visualization libraries matplotlib and seaborn to create compelling plots, uncover data patterns, and navigate statistical pitfalls like Simpson's Paradox.

• Coursera
• 7 hours 33 minutes
• Self-Paced
• Paid Course