Science Courses and Certifications

Python-Introduction to Data Science and Machine learning A-Z

3764 ratings at Udemy

Python basics Learn Python for Data Science Python For Machine learning and Python Tips and tricks

• Udemy
• 7 hours 21 minutes
• Self-Paced
• Paid Course

Integral Calculus and Numerical Analysis for Data Science

109 ratings at Coursera

Intuitive approach to integral calculus and numerical analysis, covering integration, root-finding, matrix decomposition, and partial derivatives for data science applications.

• Coursera
• 3 hours 32 minutes
• Self-Paced
• Paid Course

Programming for Data Science

30 ratings at Coursera

Learn Python basics for data science: variables, data types, control structures, and functions. Practice in Jupyter Notebook to build a foundation for programming and data analysis.

• Coursera
• 8 hours 41 minutes
• Self-Paced
• Paid Course

Forensic 365

Law and Forensic Science in the Appreciation of Evidence

2 ratings

Explore the crucial intersection of law and forensic science in evidence evaluation, focusing on admissibility standards and the weight given to forensic evidence in criminal justice.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Entomological Society of America

Communicating Science and Entomology Effectively - by Jerome Goddard

2 ratings

Learn effective science communication techniques from an experienced entomologist, covering media interviews, legal matters, and public engagement strategies for scientific topics.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Studying Cities: Social Science Methods for Urban Research

233 ratings at Coursera

Aprenda métodos de investigación social para estudios urbanos, desde la formulación de preguntas hasta el análisis de datos cuantitativos y cualitativos, con un enfoque en desarrollo urbano y local.

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

Career Certificate

Learn SQL Basics for Data Science

Develop SQL query fluency through four progressive projects, covering basics to advanced topics like distributed computing, preparing you for creative data analysis and exploration.

• Coursera
• 17 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 4 courses

The Complete Pandas Bootcamp 2025: Data Science with Python

3871 ratings at Udemy

Now with ChatGPT for Pandas, Online Exercises, Seaborn, Machine Learning. Fully Updated (Pandas 3.x) as of Sep 2024

• Udemy
• 1 day 13 hours 9 minutes
• Self-Paced
• Paid Course

Statistical Estimation for Data Science and AI

94 ratings at Coursera

Learn statistical inference, sampling distributions, and confidence intervals. Explore estimation methods, construct good estimators, and develop confidence intervals for various settings. Gain practical skills for data analysis and interpretation.

• Coursera
• 1 day 5 hours 23 minutes
• Self-Paced
• Paid Course

Mathematics-Basics to Advanced for Data Science And GenAI

3787 ratings at Udemy

Build Strong math foundation with linear algebra,stats,probability,differential calculus for mastering data science

• Udemy
• 22 hours 56 minutes
• Self-Paced
• Paid Course

Food Microbiology

18 ratings

Explore microbial interactions in food, from spoilage to fermentation. Learn preservation techniques, food safety, and regulations while discovering the role of microorganisms in various food products.

• YouTube
• 1 day 2 hours
• Self-Paced
• Free Video

Data Science: Modern Deep Learning in Python

3734 ratings at Udemy

Build with modern libraries like Tensorflow, Theano, Keras, PyTorch, CNTK, MXNet. Train faster with GPU on AWS.

• Udemy
• 11 hours 23 minutes
• Self-Paced
• Paid Course

Python Packages for Data Science

79 ratings at Coursera

Explore essential Python packages for data science: Pandas, NumPy, Matplotlib, and Seaborn. Learn data manipulation and visualization techniques to enhance your data analysis skills.

• Coursera
• 20 hours
• Self-Paced
• Paid Course

Generative AI: Elevate Your Data Science Career

274 ratings at Coursera

Elevate your data science career with cutting-edge generative AI skills. Learn data generation, augmentation, and feature engineering techniques applicable across industries. Gain practical, immediately applicable knowledge.

• Coursera
• 14 hours 28 minutes
• Self-Paced
• Paid Course

Data Science: Supervised Machine Learning in Python

3554 ratings at Udemy

Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn

• Udemy
• 6 hours 25 minutes
• Self-Paced
• Paid Course