LinkCode Linking to the Corporate World
Dive Into The World Of Coding
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Flexible Schedule Set and maintain flexible deadlines.
Beginner Level No prior experience required.
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Approx 5 months to complete Suggested 4 hours/week.
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| Shareable Specialization and Course Certificates. | |
| Self-Paced Learning Option. | |
| Course Videos & Readings. | |
| Practice Quizzes. | |
| Graded Assignments with Peer Feedback. | |
| Graded Quizzes with Feedback. | |
| Graded Programming Assignments. |
This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance. You will have lots of opportunities to practice.
How to inspect and understand APIs and third party libraries to be used with Python 3 How to apply the Python imaging library (pillow) to open, view, and manipulate images, including cropping, resizing, recoloring, and overlaying text How to apply the python tesseract (py-tesseract) library with Python 3 in order to detect text in images through optical character recognition (OCR) How to apply the open source computer vision library (opencv) to detect faces in images, & how to crop and manipulate these faces into contact sheets
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.
Develop programs that use Java collections and apply core object-oriented programming concepts using classes, polymorphism, and method overloading. Test code by applying principles of test-driven development using Java's unit testing framework.Working with Java Datatypes & Identifiers Understanding and Familiarization with java Operators How to work with java Decision Making Constructs Understanding & working with Java Repetition/Looping Constructs Working with Java Arrays Familiarization with java Exception Handling
This specialization is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems and will implement about 100 algorithmic coding problems in a programming language of your choice. No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs.
The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco (1000 times faster than the standard shortest path algorithms!) Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.
This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high-quality websites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone, you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.
This course deals with all things server-side. We base the entire course around the NodeJS platform. We start with a brief overview of the Web protocols: HTTP and HTTPS. We examine NodeJS and NodeJS modules: Express for building web servers. On the database side, we review basic CRUD operations, NoSQL databases, in particular MongoDB and Mongoose for accessing MongoDB from NodeJS. We examine the REST concepts and building a RESTful API. We touch upon authentication and security. Finally we review backend as a service (BaaS) approaches, including mobile BaaS, both open-source and commercial BaaS services
This Specialization covers how to write syntactically correct HTML5 and CSS3, and how to create interactive web experiences with JavaScript. Mastering this range of technologies will allow you to develop high-quality websites that, work seamlessly on mobile, tablet, and large screen browsers accessible. During the capstone, you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.
This course deals with all things server-side. We base the entire course around the NodeJS platform. We start with a brief overview of the Web protocols: HTTP and HTTPS. We examine NodeJS and NodeJS modules: Express for building web servers. On the database side, we review basic CRUD operations, NoSQL databases, in particular MongoDB and Mongoose for accessing MongoDB from NodeJS. We examine the REST concepts and building a RESTful API. We touch upon authentication and security. Finally we review backend as a service (BaaS) approaches, including mobile BaaS, both open-source and commercial BaaS services
This Specialization enables learners to successfully apply core Java programming languages features & software patterns needed to develop maintainable mobile apps comprised of core Android components, as well as fundamental Java I/O & persistence mechanisms. The Capstone project will integrate the material from throughout the Specialization to exercise and assess the ability of learners to create an interesting Android app by applying knowledge and skills learned in previous MOOCs, including Java programming features, Android Studio tools, Android Activity components, Material Design, file I/O and data persistence, unit testing, and software patterns.
The specialization contains two real-world projects: Software Testing Java Programming Junit Logic Programming Android Studio (OOP) Computer Programming Concurrent Computing Unit Testing Flutter Dart React Native RDBMS Cloud.
Gain the job-ready skills for an entry-level data analyst role through this eight-course Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth until 2028 (U.S. Bureau of Labor Statistics). Power your data analyst career by learning the core principles of data analysis and gaining hands-on skills practice. You’ll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation and applying analytical techniques. This Professional Certificate does not require any prior programming or statistical skills and is suitable for learners with or without college degrees.
This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real-world business cases and journalistic examples from leading media companies.
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
his course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science What AI realistically can--and cannot--do How to spot opportunities to apply AI to problems in your own organization What it feels like to build machine learning and data science projects How to work with an AI team and build an AI strategy in your company How to navigate ethical and societal discussions surrounding AI
