Sports Science Courses

Career Certificate

Data Science for Healthcare

Master healthcare data science through machine learning, clinical analytics, and AI with hands-on projects using real medical data and responsible AI practices.

• Coursera
• 4 weeks, 7 hours/week
• Self-Paced
• Paid Course
• 3 courses

Packt

Advanced Python Techniques for Data Science & AI

Unlock advanced Python techniques including decorators, generators, APIs, and data visualization with Pandas and Plotly for real-world data science and AI applications.

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

Fundamentals of Data Science in Healthcare

Discover how to transform raw clinical data into analysis-ready datasets using healthcare standards like ICD-10, SNOMED CT, and FHIR while mastering data quality, preprocessing, and HIPAA compliance.

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

Packt

Python Programming And Libraries for Data Science

Master Python libraries like NumPy, Pandas, and Matplotlib for data science, plus object-oriented programming, file handling, and exception management through hands-on exercises.

• Coursera
• 8 hours 24 minutes
• Self-Paced
• Paid Course

The Science of Eating Well for Fitness

Discover how carbohydrates, proteins, fats, vitamins, and minerals function in your body while mastering evidence-based nutrition principles for optimal health and performance.

• Coursera
• 5 hours 35 minutes
• Self-Paced
• Paid Course

Data Science and Machine Learning for Business Professionals

Discover foundational data science and machine learning skills to make confident, data-driven decisions and communicate insights effectively to stakeholders in any professional setting.

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

Packt

Mastering Python for Data Science

Unlock Python's power for data analysis, visualization, and machine learning through hands-on projects and real-world case studies spanning statistics to big data processing.

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

Packt Career Certificate

Data Science Essentials: Analysis, Statistics, and ML

Master statistics, SQL, Python libraries, and machine learning fundamentals to build predictive models and create interactive dashboards for data-driven insights.

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

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

EDUCBA

Data Science with Python: Analyze & Visualize

Master Python programming for data analysis, visualization, and machine learning with hands-on projects covering statistics, regression, and real-world applications.

• Coursera
• 8 hours 59 minutes
• Self-Paced
• Paid Course

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