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Our Courses
Create a Job-Specific Resume using LibreOffice
In this 2-hour long project-based course, you will learn the basic parts of a resume and how to customize a resume template in LibreOffice, identify and list your hard skills and soft skills, write a resume summary including your identified hard and soft skills in LibreOffice, review a job listing of your choice and identify the required hard and soft skills, and tailor your resume summary to reflect hard and soft skills in the chosen job listing Note: This course works best for learners who are based in the North American region.
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Course by
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Self Paced
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3 hours
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English
The Little Stuff: Energy, Cells, and Genetics
In this course, we will explore the smaller side of biology: molecular biology. We’ll cover basic topics including cell biology and how cells can go “rogue” and turn into cancer, how energy from the sun is transferred to fuel our bodies, basics of genetics and inheritance, and genetic technologies. At the end of this course, we will discuss ethical and moral implications of several exciting and new genetic technologies.
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Course by
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Self Paced
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10 hours
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English
Comparing Genes, Proteins, and Genomes (Bioinformatics III)
Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different.
In the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins. We will encounter a powerful algorithmic tool called dynamic programming that will help us determine the number of mutations that have separated the two genes/proteins.
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Course by
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Self Paced
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22 hours
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English
Introduction to the C# Type System
By the end of this project, you will use the C# Type System to represent data in a C# program.
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Course by
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Self Paced
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3 hours
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English
Python for Beginners: Variables and Strings
This Guided Project "Python for Beginners: Variables and Strings" is for individuals who are new to programming and want to learn the basics of Python.
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Course by
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Self Paced
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3 hours
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English
Choose Azure SQL Database Service Tier that Suits Your Needs
Which PaaS (Platform as a Service) should you use to create business applications much more quickly than with on-site solutions? Which database engine fits your performance needs? Moreover, which purchasing model should you consider? These questions and more will be answered within this Guided Project.
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Course by
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Self Paced
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1 hour
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English
Introduction to Java and Object-Oriented Programming
This course provides an introduction to the Java language and object-oriented programming, including an overview of Java syntax and how it differs from a language like Python. Students will learn how to write custom Java classes and methods, and how to test their code using unit testing and test-driven development. Topics include basic data structures like Arrays and ArrayLists and overloading methods.
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Course by
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Self Paced
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19 hours
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English
Robotics: Capstone
In our 6 week Robotics Capstone, we will give you a chance to implement a solution for a real world problem based on the content you learnt from the courses in your robotics specialization. It will also give you a chance to use mathematical and programming methods that researchers use in robotics labs.
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Course by
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Self Paced
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26 hours
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English
Battery State-of-Health (SOH) Estimation
This course can also be taken for academic credit as ECEA 5733, part of CU Boulder’s Master of Science in Electrical Engineering degree.
In this course, you will learn how to implement different state-of-health estimation methods and to evaluate their relative merits. By the end of the course, you will be able to:
-\tIdentify the primary degradation mechanisms that occur in lithium-ion cells and understand how they work
-\tExecute provided Octave/MATLAB script to estimate total capacity using WLS, WTLS, and AWTLS methods and lab-test data, and to evaluate results
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Course by
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Self Paced
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23 hours
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English
Management of International Development: Towards Agenda 2030
Welcome!
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Course by
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Self Paced
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8 hours
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English
Create social media content with Prezi
This project will allow you to discover Prezi, an online platform for designing presentations and marketing content of all kinds.
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Course by
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Self Paced
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3 hours
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English
Database Operations in MariaDB Using Python From Infosys
Have you ever imagined performing various operations on a database without writing a single query? Did you know that Python can be used to accomplish these task effortlessly? By taking this Guided Project, you will be able to accomplish exactly this task! “Database Operations in MariaDB using Python” is for any system or database administrator who wants to automate their daily tasks of performing routine operations on a database. By the end of this 1-hour long Guided Project, you will have created scripts written in Python to perform various database operations in a MariaDB server.
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Course by
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Self Paced
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3 hours
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English
Classical papers in molecular genetics
You have all heard about the DNA double helix and genes. Many of you know that mutations occur randomly, that the DNA sequence is read by successive groups of three bases (the codons), that many genes encode enzymes, and that gene expression can be regulated.
These concepts were proposed on the basis of astute genetic experiments, as well as often on biochemical results. The original articles were these concepts appeared are however not frequently part of the normal curriculum of biologists, biochemists and medical students.
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Course by
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Self Paced
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28 hours
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English
Learn Javascript - 21 Essential Array Methods
In this 1-hour long project-based course, you will learn how to transform and search in arrays, how to use the map, filter and reduce methods and much more! This course is for beginners.
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Course by
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Self Paced
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4 hours
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English
Explore Core Data Concepts in Microsoft Azure
In this course, you will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build your foundational knowledge of cloud data services within Microsoft Azure. You will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. You will explore the roles, tasks, and responsibilities in the world of data.
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Course by
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Self Paced
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9 hours
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English
Design and Implementation of Digital Health Interventions
This course covers various themes around design, regulatory approaches, ethics, technology adoption, implementation and strategy as applied to digital health. These session cover areas to include data regulations, examples of data breaches in digital health, the challenges and opportunities of technology adoption and implementation with a focus on the non-adoption, abandonment, scale-up, spread and sustainability framework (NASSS Framework).
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Course by
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Self Paced
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31 hours
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English
Optimize ML Models and Deploy Human-in-the-Loop Pipelines
In the third course of the Practical Data Science Specialization, you will learn a series of performance-improvement and cost-reduction techniques to automatically tune model accuracy, compare prediction performance, and generate new training data with human intelligence. After tuning your text classifier using Amazon SageMaker Hyper-parameter Tuning (HPT), you will deploy two model candidates into an A/B test to compare their real-time prediction performance and automatically scale the winning model using Amazon SageMaker Hosting.
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Course by
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Self Paced
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11 hours
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English
Architecting Smart IoT Devices
The Architecting Smart IoT Devices course will teach you how to develop an embedded systems device. In order to reduce the time to market, many pre-made hardware and software components are available today. You'll discover all the available hardware and software components, such as processor families, operating systems, boards, and networks. You'll also learn how to use and integrate these components.
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Course by
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Self Paced
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34 hours
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English
Data Publishing on BigQuery for Data Sharing Partners
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to share datasets and publish datasets with BigQuery.
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Course by
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Self Paced
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1 hour
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English
Exploratory Data Analysis in R
In this 1-hour long project-based course, you will learn how to do basic exploratory data analysis (EDA) in R, automate your EDA reports and learn advanced EDA tips Note: This course works best for learners who are based in the North America region.
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Course by
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Self Paced
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2 hours
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English
Write basic ansible playbooks
In this 1-hour long project-based course, you will learn how to setup an inventory of hosts which, for our case here, will only contain one hosts, which is the local host.
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Course by
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Self Paced
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3 hours
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English
Interprofessional Healthcare Informatics
Interprofessional Healthcare Informatics is a graduate-level, hands-on interactive exploration of real informatics tools and techniques offered by the University of Minnesota and the University of Minnesota's National Center for Interprofessional Practice and Education. We will be incorporating technology-enabled educational innovations to bring the subject matter to life. Over the 10 modules, we will create a vital online learning community and a working healthcare informatics network.
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Course by
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Self Paced
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11 hours
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English
Threat Investigation
If you are an associate-level cybersecurity analyst who is working in security operation centers, this course will help you understand how threat-centric SOC must prepare for analyzing new and emerging threats by implementing robust security investigation procedures •\tBy the end of the course, you will be able to: • Understand cyber-threat hunting concepts •\tDescribe the five hunting maturity levels (HM0–HM4) • Describe the hunting cycle four-stage loop•\tDescribe the use of the Common Vulnerability Scoring System (CVSS) and list the CVSS v3.0 base metrics•\tDescribe the CVSS v3.0 scoring co
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Course by
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Self Paced
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9 hours
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English
Classification Analysis
The "Classification Analysis" course provides you with a comprehensive understanding of one of the fundamental supervised learning methods, classification. You will explore various classifiers, including KNN, decision tree, support vector machine, naive bayes, and logistic regression, and learn how to evaluate their performance. Through tutorials and engaging case studies, you will gain hands-on experience and practice in applying classification techniques to real-world data analysis tasks.
By the end of this course, you will be able to:
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Course by
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Self Paced
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38 hours
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English
Draw a wireframe in Pencil Project
In this 2 hours long guided project you will learn how to create an e-commerce web UI wireframe using Pencil Project.
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Course by
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Self Paced
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3 hours
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English