Sports Science Courses

Genentech

Data Science with Real World Data in Pharma

Explore real-world data applications in pharmaceutical research, from understanding data limitations to designing studies and generating evidence for healthcare decision-making.

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

Career Certificate

Introduction to Data Science Techniques

Gain insights into essential data science techniques, from time series analysis and statistical learning to data preparation, developing skills to build predictive models and interpret statistical outputs.

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

Career Certificate

Advanced Statistical Techniques for Data Science

Master advanced statistical techniques for data science including regression, model diagnostics, variable selection, Bayesian statistics, and data preparation for complex analysis.

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

Praxis Physical Science (5485) Study Guide and Test Prep

Master essential physics and chemistry concepts to confidently pass the Praxis Physical Science 5485 exam with comprehensive test preparation strategies.

• Study.com
• Self-Paced
• Paid Course

GACE Computer Science P-12 (555) Study Guide and Test Prep

Master essential computer science concepts and teaching strategies to confidently pass the GACE Computer Science P-12 (555) certification exam.

• Study.com
• Self-Paced
• Paid Course

Packt

Foundations of ML & Python for Data Science

Gain insights into machine learning fundamentals and Python programming for data science, covering statistical techniques, key libraries like NumPy and Pandas, and practical applications across industries.

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

Packt

Matrix Calculus for Data Science & Machine Learning

Master the fundamentals of matrix calculus for data science applications, including vector derivatives, optimization techniques, and practical implementations in Python for machine learning algorithms.

• Coursera
• 8 hours 55 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

Packt

Statistics & Mathematics for Data Science & Data Analytics

Master essential statistical and mathematical concepts for data science, from descriptive statistics and probability theory to regression analysis and hypothesis testing, with practical applications for real-world data problems.

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

Computer Science 104: Intro to Web Development

Discover HTML, CSS, and JavaScript fundamentals to build interactive websites and launch your web development journey with hands-on projects and real-world applications.

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

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

Packt

Hands-On Data Science with PyTorch & Pandas

Master data science by building interactive dashboards with Shiny, analyzing datasets using Pandas workflows, and implementing PyTorch tensor operations and image classification apps in Python.

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

Packt Career Certificate

The Complete Python and Data Science Bootcamp

Master Python and data science from scratch—covering OOP, NumPy, Pandas, Matplotlib, and machine learning with hands-on projects in Turtle Graphics, data manipulation, and interactive visualizations.

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

Coursera Career Certificate

Mastering Geospatial Data Science: From Beginner to Expert

Master geospatial data science from GIS fundamentals to advanced ML, covering Python, QGIS, PostGIS, remote sensing, 3D LiDAR, and cloud platforms like Google Earth Engine.

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

Career Certificate

The Science of Productivity

Unlock proven strategies to prioritize effectively, stop overcommitting, eliminate meeting waste, and maximize daily productivity without burning out.

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