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CertNexus courses

Courses and full video lessons from CertNexus.

50 coursesTier 4 · 54/100US

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CertNexus

Preparing for Your CertNexus Certification Exam

4.8188 ratings

What is a certification? How is it different than a certificate or credential? This mini-course will answer these questions and provide learners direction on how to prepare for a certification exam from CertNexus or an other certification vendor. It includes tips and tricks to succeed in your journ…

  • Coursera
  • Two hours thirty minutes total
  • Self-paced
  • Paid certificate

CertNexus

Extract, Transform, and Load Data

This course is designed for business and data professional seeking to learn the first technical phase of the data science process known as Extract, Transform and Load or ETL. Learners will be taught how to collect data from multiple sources so it is available to be transformed and cleaned and then…

  • Coursera
  • 3 weeks of study, 1–3 hours per week
  • Self-paced
  • Paid certificate

CertNexus

Solve Business Problems with AI and Machine Learning

Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and serv…

  • Coursera
  • 3 weeks of study, 1–3 hours per week
  • Self-paced
  • Paid certificate

CertNexus

Turn Ethical Frameworks into Actionable Steps

Ethical principles build a strong foundation for driving ethical technologies. Principles alone can be elusive and impractical for application. Ethical frameworks based upon these principles provide a structure to guide technologists when implementing data-driven solutions. However, ethical framewo…

  • Coursera
  • 4 weeks of study, 2-3 hours per week.
  • Self-paced
  • Paid certificate

CertNexus

Follow a Machine Learning Workflow

Machine learning is not just a single task or even a small group of tasks; it is an entire process, one that practitioners must follow from beginning to end. It is this process—also called a workflow—that enables the organization to get the most useful results out of their machine learning technolo…

  • Coursera
  • 5 weeks of study, 2–3 hours per week
  • Self-paced
  • Paid certificate

CertNexus

Promote the Ethical Use of Data-Driven Technologies

The greatest risk in emerging technology is the perpetuation of bias in automated technologies dependent upon data sets. Solutions created with racial, gender or demographic bias, whether unintentional or not can perpetuate tragic inequities socially and economically. This is the first of five cour…

  • Coursera
  • 6 weeks of study, 2-3 hours per week.
  • Self-paced
  • Paid certificate

CertNexus

Create and Lead an Ethical Data-Driven Organization

Creating and leading an ethical data-driven organization, when done successfully, is a cultural transformation for an organization. Navigating a cultural shift requires leadership buy in, resourcing, training, and support through creation of boards, policies, and governance. Beyond leadership and o…

  • Coursera
  • 4 weeks of study, 2-3 hours per week
  • Self-paced
  • Paid certificate

CertNexus

Train Machine Learning Models

This course is designed for business professionals that wish to identify basic concepts that make up machine learning, test model hypothesis using a design of experiments and train, tune and evaluate models using algorithms that solve classification, regression and forecasting, and clustering probl…

  • Coursera
  • 4 weeks of study, 1–3 hours per week
  • Self-paced
  • Paid certificate

CertNexus

Address Business Issues with Data Science

This course is designed for business professionals that want to learn how to determine if a business issue is appropriate for a data science project and apply the data science process. The typical student in this course will have experience in a business setting and a high-level understanding of fu…

  • Coursera
  • 2 weeks of study, 1–3 hours per week
  • Self-paced
  • Paid certificate

CertNexus

Build Decision Trees, SVMs, and Artificial Neural Networks

There are numerous types of machine learning algorithms, each of which has certain characteristics that might make it more or less suitable for solving a particular problem. Decision trees and support-vector machines (SVMs) are two examples of algorithms that can both solve regression and classific…

  • Coursera
  • 4 weeks of study, 2–3 hours per week
  • Self-paced
  • Paid certificate

CertNexus

Detect and Mitigate Ethical Risks

Data-driven technologies like AI, when designed with ethics in mind, benefit both the business and society at large. But it’s not enough to say you will “be ethical” and expect it to happen. We need tools and techniques to help us assess gaps in our ethical behaviors and to identify and stop threat…

  • Coursera
  • 7 weeks of study, 2-3 hours per week.
  • Self-paced
  • Paid certificate

CertNexus

Build Regression, Classification, and Clustering Models

In most cases, the ultimate goal of a machine learning project is to produce a model. Models make decisions, predictions—anything that can help the business understand itself, its customers, and its environment better than a human could. Models are constructed using algorithms, and in the world of…

  • Coursera
  • 5 weeks of study, 2–3 hours per week
  • Self-paced
  • Paid certificate

CertNexus

Communicate Effectively about Ethical Challenges in Data-Driven Technologies

Leading a data-driven organization necessitates effective communication to create a culture of ethical practice. Communication to stakeholders will guide an organization's strategy and potentially impact the future of work for that organization or entity. It is not enough to talk about ethical prac…

  • Coursera
  • 4 weeks of study, 2-3 hours per week
  • Self-paced
  • Paid certificate

CertNexus

Analyze Data

This course is designed for business professionals that want to learn how to analyze data to gain insight, use statistical analysis methods to explore the underlying distribution of data, use visualizations such as histograms, scatter plots, and maps to analyze data and preprocess data to produce a…

  • Coursera
  • 4 weeks of study, 1–3 hours per week
  • Self-paced
  • Paid certificate