Coursera – IBM Data Analyst Professional Certificate [FCO] About Unlock your potential in data analytics. Build job-ready skills for an in-demand career as a data analyst. No degree or prior experience required. In-Detail Gain the job-ready skills for an entry-level data analyst role through this Professional Certificate from IBM and position yourself competitively in the […]
Coursera – Coding for Everyone: C And C++ Specialization [FCO] About Beginner to Programmer — Learn to Code in C & C++. Gain a deep understanding of computer programming by learning to code, debug, and solve complex problems with C and C++. In-Detail About this Specialization This Specialization is intended for all programming enthusiasts, as […]
Coursera – Valuation and Financial Analysis For Startups Specialization [FCO] About Master Practical Startup Valuation Methods . Estimate startup value, understand financial statements, and make sound investment decisions. In-Detail The Startup Valuation and Financial Analysis Specialization teaches two of the most often used methods to find the value of a startup. You’ll learn how to […]
Coursera – Google Digital Marketing & E-commerce Professional Certificate [FCO] About This is your path to a career in digital marketing. In this program, you’ll learn in-demand skills that can have you job-ready in less than 6 months. No degree or experience required. In-Detail Build job-ready skills by learning from the best Get started in […]
This course is part of the Data Structures and Algorithms Specialization ourse 1 of 1 in the Data Structures and Algorithms Specialization 100% online Start instantly and learn at your own schedule. Flexible deadlines Reset deadlines in accordance to your schedule. Intermediate Level Basic knowledge of at least one programming language: C++, Java, Python, C, […]
This course is part of the Deep Learning Specialization Convolutional Neural Networks About this Course This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging […]
This course is part of the Data Structures and Algorithms Specialization Algorithms on Strings Offered By University of California San Diego National Research University Higher School of Economics About this Course World and internet is full of textual information. We search for information using textual queries, we read websites, books, e-mails. All those are strings […]
This course is part of the Data Structures and Algorithms Specialization Algorithms on Graphs About this Course If you have ever used a navigation service to find optimal route and estimate time to destination, you’ve used algorithms on graphs. Graphs arise in various real-world situations as there are road networks, computer networks and, most recently, […]
This course is part of the Data Structures and Algorithms Specialization Algorithmic Toolbox Offered By University of California San Diego National Research University Higher School of Economics About this Course The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic […]
About this course: You’ve learned the basic algorithms now and are ready to step into the area of more complex problems and algorithms to solve them. Advanced algorithms build upon basic ones and use new ideas. We will start with networks flows which are used in more typical applications such as optimal matchings, finding disjoint […]
About this course: How can we create agile micro aerial vehicles that are able to operate autonomously in cluttered indoor and outdoor environments? You will gain an introduction to the mechanics of flight and the design of quadrotor flying robots and will be able to develop dynamic models, derive controllers, and synthesize planners for operating […]
About this course: Welcome to the Reinforcement Learning course. Here you will find out about: – foundations of RL methods: value/policy iteration, q-learning, policy gradient, etc. — with math & batteries included – using deep neural networks for RL tasks — also known as “the hype train” – state of the art RL algorithms — […]
About this course: This course covers a wide range of tasks in Natural Language Processing from basic to advanced: sentiment analysis, summarization, dialogue state tracking, to name a few. Upon completing, you will be able to recognize NLP tasks in your day-to-day work, propose approaches, and judge what techniques are likely to work well. The […]
About this course: The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all […]
About this course: If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains such as credit, insurance, marketing, natural language processing, sales’ forecasting and computer vision to name a […]
About this course: Deep learning added a huge boost to the already rapidly developing field of computer vision. With deep learning, a lot of new applications of computer vision techniques have been introduced and are now becoming parts of our everyday lives. These include face recognition and indexing, photo stylization or machine vision in self-driving […]
About this course: Bayesian methods are used in lots of fields: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. Bayesian methods also allow us to estimate uncertainty in predictions, which is a really desirable feature for fields like medicine. […]
About this course: The Large Hadron Collider (LHC) is the largest data generation machine for the time being. It doesn’t produce the big data, the data is gigantic. Just one of the four experiments generates thousands gigabytes per second. The intensity of data flow is only going to be increased over the time. So the […]
About this course: If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new “superpower” that will let you build AI systems that just weren’t possible a […]
About this course: 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 […]
About this course: 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 […]
About this course: The concepts and use of project management tools, techniques and methodologies are becoming all pervasive. This course addresses project management in the context of IT projects, including software projects. Using the framework of project life cycle, the course covers various aspects pertaining to (i) project initiation, (ii) project planning and scheduling, (iii) […]
About this course: What you’ll achieve: In this project-centered course*, you will create an original four page minicomic designed around a short story of your choosing. What you’ll need to get started: This project-centered course is designed for all-age learners (high school age and above, at least 13 years of age) who are interested in […]
About this course: If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains such as credit, insurance, marketing, natural language processing, sales’ forecasting and computer vision to name a […]
About this course: Financial Engineering is a multidisciplinary field involving finance and economics, mathematics, statistics, engineering and computational methods. The emphasis of FE & RM Part II will be on the use of simple stochastic models to (i) solve portfolio optimization problems (ii) price derivative securities in various asset classes including equities and credit and […]
About this course: Financial Engineering is a multidisciplinary field drawing from finance and economics, mathematics, statistics, engineering and computational methods. The emphasis of FE & RM Part I will be on the use of simple stochastic models to price derivative securities in various asset classes including equities, fixed income, credit and mortgage-backed securities. We will […]
About this course: This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of […]
About this course: This course is the fourth course in the specialization about learning how to develop video games using the C# programming language and the Unity game engine on Windows or Mac. Why use C# and Unity instead of some other language and game engine? Well, C# is a really good language for learning […]
