Forensic Science Courses

Packt

R Programming for Statistics and Data Science

15 ratings at Coursera

Learn R from RStudio setup through vectors, matrices, and data frames to dplyr manipulation, ggplot2 charts, exploratory analysis, hypothesis testing, and linear regression.

• Coursera
• 11 weeks, 1 hour a week
• Self-Paced
• Paid Course

Corporate Finance Institute

Data Science & Machine Learning Fundamentals

16 ratings at Coursera

Get up to speed on data science vocabulary and outputs: regression, classification, exploratory data analysis, data preparation, and feature selection for business decisions.

• Coursera
• 9 weeks, 1 hour a week
• Self-Paced
• Paid Course

Genentech

Data Science with Real World Data in Pharma

15 ratings at Coursera

Learn to generate real-world evidence for drug development: weigh real-world data sources, identify bias, design observational studies, and run one on synthetic data.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

EDUCBA

Data Science with Python: Analyze & Visualize

16 ratings at Coursera

Analyze datasets in Python: build reusable functions, create scatter plots, histograms and box plots, and apply hypothesis testing, Bayesian inference, regression and gradient descent.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

MathWorks

Data Science Companion

14 ratings at Coursera

Get a high-level tour of data science: regression and classification concepts, low-code data processing and visualization, tool integration, and scaling model training with AWS cloud resources.

• Coursera
• 1 hour 52 minutes
• Self-Paced
• Paid Course

American Psychological Association

Positive Psychology: The Science of Happiness

14 ratings at Coursera

Explore scientifically validated pathways to happiness: factors of subjective well-being, gratitude and mindfulness practices, the World Happiness Report, and why prosocial helping behavior boosts life satisfaction.

• Coursera
• 10 weeks, 1 hour a week
• Self-Paced
• Paid Course

Soils Science - Full Series (Live Online)

14 ratings at CourseHorse

Getting Down to Earth: Understanding soils for ecosystem resilience and repair.

• CourseHorse
• 13 hours
• Self-Paced
• $202.00

Genentech

Making Data Science Work for Clinical Reporting

12 ratings at Coursera

Apply data science practices to clinical trial reporting: git version control, reproducible R projects, R package development, CI/CD workflows, InnerSourcing, and codebase risk assessment.

• Coursera
• 7 weeks, 2 hours a week
• Self-Paced
• Paid Course

Edureka

Power BI for Data Science and Analytics

12 ratings at Coursera

Build interactive Power BI reports and dashboards with AI features like anomaly detection, natural language Q&A, cognitive text and image analytics, dataflows, M functions, and KPI scorecards.

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

Packt

NumPy, Matplotlib & Pandas – Data Science Prerequisites

11 ratings at Coursera

Build Python data science foundations: NumPy arrays and linear systems, Matplotlib charts and histograms, Pandas dataframes, plus SciPy distributions and basic classification and regression.

• Coursera
• 6 weeks, 1 hour a week
• Self-Paced
• Paid Course

Packt

Statistics & Mathematics for Data Science & Data Analytics

11 ratings at Coursera

Learn descriptive statistics, probability, hypothesis testing and regression: compute Z-scores, apply Bayes' theorem, run t-tests and ANOVA, and build linear regression and random forest models.

• Coursera
• 9 weeks, 2 hours a week
• Self-Paced
• Paid Course

Meta

Prepare for the Meta Marketing Science Certification Exam

10 ratings at Coursera

Register for, prepare for, and take the Meta Marketing Science Certification exam, using the Blueprint study guide and other preparation resources.

• Coursera
• 1 hour 26 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

R Ultimate 2024 - R for Data Science and Machine Learning

8 ratings at Coursera

Learn R from RStudio basics through machine learning: scrape and clean data, visualize with ggplot2 and Plotly, fit regressions, build CNNs and autoencoders, deploy Shiny apps.

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

Designing and Implementing a Data Science Solution (Live Online)

8 ratings at CourseHorse

Build the skills to design and implement data science solutions on Azure in this comprehensive course.

• CourseHorse
• 27 hours
• Self-Paced
• $2,295.00

Career Certificate

Data Science Fundamentals, Part 1

7 ratings at Coursera

Work through the full data science process: acquire and transform real-world data, then build, validate, and deploy machine learning models using Python and its libraries.

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