CertNexus Courses

Communicate Effectively about Ethical Challenges in Data-Driven Technologies

100 ratings at Coursera

Communicate ethical risks in data-driven organizations: brief diverse stakeholders on business impacts, design inclusive external communication strategies, and manage crises and the media.

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

Career Certificate

CertNexus Certified Ethical Emerging Technologist

651 ratings at Coursera

Learn to navigate ethics in AI, machine learning, and data science: turn ethical frameworks into actionable steps, detect and mitigate ethical risks, and lead ethical data-driven organizations.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 6 courses

Career Certificate

CertNexus Certified Artificial Intelligence Practitioner

341 ratings at Coursera

Apply AI and ML to business problems: follow a machine learning workflow and build regression, classification, clustering, decision tree, SVM, and neural network models.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses

Promote the Ethical Use of Data-Driven Technologies

303 ratings at Coursera

Learn to spot bias in data-driven technologies: identify emerging tech, examine legal and ethical privacy concepts, ethical theories, and principles for AI and machine learning.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Preparing for Your CertNexus Certification Exam

188 ratings at Coursera

Learn strategies to prepare for, pass, and leverage certification exams, including study tips, scheduling procedures, and post-certification steps to maximize career benefits.

• Coursera
• 2 hours 29 minutes
• Self-Paced
• Paid Course

Turn Ethical Frameworks into Actionable Steps

158 ratings at Coursera

Apply ethical frameworks to data-driven technologies: work through AI dilemmas, follow global regulations and standards, and reconcile ethical duties with business demands.

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

Solve Business Problems with AI and Machine Learning

128 ratings at Coursera

Identify which business problems AI and machine learning can solve, survey the ML workflow and supporting hardware and software tools, and mitigate ethical and data privacy risks.

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

Detect and Mitigate Ethical Risks

103 ratings at Coursera

Detect and mitigate ethical risks in AI and data-driven technologies: apply ethical risk analysis to privacy, accountability, transparency, fairness, bias, safety and security threats.

• Coursera
• 7 weeks, 3 hours a week
• Self-Paced
• Paid Course

Create and Lead an Ethical Data-Driven Organization

98 ratings at Coursera

Develop strategies to lead an ethics initiative in a data-driven organization: build an ethical culture, weigh ethics in governance, and create and deploy a code of ethics and policies.

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

Career Certificate

CertNexus Certified Data Science Practitioner

85 ratings at Coursera

Work through the full data science process: address business issues with data, extract, transform and load it, analyze it, train machine learning models, and finalize projects.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses

Extract, Transform, and Load Data

40 ratings at Coursera

Work through each ETL phase: extract data from multiple sources, transform and clean it, then load it into a destination ready for analysis and modeling.

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

Address Business Issues with Data Science

32 ratings at Coursera

Learn to judge whether a business issue suits data science, initiate a project around business goals, formulate a data-driven problem, and apply it to practical scenarios.

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

Follow a Machine Learning Workflow

23 ratings at Coursera

Work through the machine learning workflow end to end: collect and analyze datasets, prepare data, train and refine models in Python, then finalize and deploy them.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Analyze Data

21 ratings at Coursera

Analyze data for insight: examine dataset relationships, explore underlying distributions with statistical methods, visualize with histograms, scatter plots and maps, and preprocess data for machine learning.

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

Build Regression, Classification, and Clustering Models

21 ratings at Coursera

Build machine learning models across three problem types: linear and regularized regression, binary and multiclass classification with tuning, and clustering of unlabeled data.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course