Forensic Science Courses

Data Science Foundations with No-Code Tools

Discover how to tackle data projects confidently using no-code platforms for acquisition, cleaning, visualization, and model design to solve real business problems.

• Coursera
• 3 hours 15 minutes
• Self-Paced
• Paid Course

Packt

Game Development, Data Science, and Machine Learning

Explore game development with Pygame, data science with NumPy/Pandas, and machine learning with Scikit-learn through hands-on projects and real-world applications.

• Coursera
• 17 hours 45 minutes
• Self-Paced
• Paid Course

Personality in Action: Science to Shape Your Life

Discover how personality science can transform your behavior through practical frameworks, weekly challenges, and evidence-based strategies for meaningful change in work and relationships.

• Coursera
• 11 hours 25 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

Python - Complete Python, Django, Data Science and ML Guide

Master Python programming from basics to advanced applications including Django web development, data science with Pandas/Matplotlib, and machine learning with Scikit-learn.

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

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

Data Science Fundamentals Part 2: Unit 2

Master statistical inference through hypothesis testing, confidence intervals, and A/B testing while learning to distinguish correlation from causation for robust data analysis.

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

Data Science Fundamentals Part 2: Unit 3

Master statistical modeling and machine learning with Python using real Airbnb data, covering probability, regression, model evaluation, and Scikit-learn implementation.

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

Career Certificate

Data Science Fundamentals, Part 2

Master advanced data analysis, machine learning algorithms, and visualization techniques using Python tools like pandas, NumPy, and scikit-learn for impactful insights.

• Coursera
• 4 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Bootcamp: “Data Science with Python – From Basics to Real-Time Analysis” (Ages 12-18) (Live Online)

Tap into the power of data in this hands-on bootcamp where teens use Python libraries like NumPy, Pandas, Seaborn, and Matplotlib to analyze and visualize real datasets.

• CourseHorse
• 10 hours
• Self-Paced
• $299.00

GACE 705 Study Guide - Middle Grades Science (4-8) Exam Prep

Master GACE 705 Middle Grades Science certification with engaging video lessons, quizzes, and practice tests covering matter, energy, biology, and Earth science concepts.

• Study.com
• Self-Paced
• Paid Course

Science 101L: Intro to Life Sciences with Lab

Explore fundamental life sciences through cell biology, genetics, ecology, evolution, and human anatomy with hands-on lab activities and mobile-friendly lessons.

• Study.com
• 21 hours 4 minutes
• Self-Paced
• Paid Course

Skill Up with Python: Data Science and Machine Learning Recipes

Master Python through hands-on data science and ML projects including sentiment analysis, image recognition, web scraping, and data visualization in Jupyter Notebooks.

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