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

Credential

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

Packt

Data Science Foundations: NumPy, Pandas & Visualization

Master Python's essential data science libraries - NumPy, Pandas, Matplotlib & Seaborn - through hands-on practice with arrays, DataFrames, and compelling visualizations.

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

Packt

Data Science Model Deployments and Cloud Computing on GCP

Master GCP deployment of data science models using Cloud Run, App Engine, and Vertex AI with hands-on Docker containerization and serverless computing techniques.

• Coursera
• 10 hours 34 minutes
• Self-Paced
• Paid Course

Edureka Credential

PySpark for Data Science

Master PySpark's distributed computing capabilities for data processing, machine learning, and real-time analytics through hands-on projects and real-world applications in data science.

• Coursera
• 16 weeks, 5 hours/week
• Self-Paced
• Paid Course

Guided Project: Get Started with Data Science in Agriculture V2

Ideal for beginners with some knowledge of Python and statistics, in this one-hour hands-on guided project, you will learn how to use essential Python tools for statistical analysis of agricultural data and present that data on interactive maps

• edX
• 1 week, 1 hour/week
• Self-Paced
• Free Online Course

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

Packt

Engaged: Behavioral Science for Digital Product Design

Discover how to apply behavioral science principles to create digital products that drive lasting user engagement and meaningful behavior change through psychology-backed design strategies.

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

GACE 350 Study Guide - Fundamentals of the Science of Reading Exam Prep

Master the GACE 350 Science of Reading exam with targeted video lessons, quizzes, and practice tests covering phonics, literacy skills, comprehension, and assessment strategies.

• Study.com
• Self-Paced
• Paid Course

GACE 418 Study Guide - Application of the Science of Reading Exam Prep

Master evidence-based reading instruction strategies and assessment techniques to excel on the GACE 418 exam with comprehensive test-aligned lessons and practice tests.

• Study.com
• Self-Paced
• Paid Course

Credential

No-Code Machine Learning and Data Science for Everyone

Discover how to build machine learning models and analyze data using no-code tools, preparing you for data-driven roles across finance, retail, and healthcare industries.

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

Data Science and Machine Learning Bootcamp (Live Online)

Elevate your career with comprehensive training in Data Science and Machine Learning.

• CourseHorse
• 96 hours
• Self-Paced
• $9,999.00

Python With Data Science Private (Ages 14-18) (Live Online)

Discover the power of Python in data analytics with our immersive course designed for ages 14-18.

• CourseHorse
• 12 hours
• Self-Paced
• $399.00

EDUCBA

Statistics for Data Science with Python

Master statistical analysis and predictive modeling using Python, Pandas, and NumPy through hands-on exercises covering descriptive stats, hypothesis testing, and regression techniques.

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