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Our Courses
Automating Image Processing
In this course, you will build on the skills acquired in Image Segmentation, Filtering, and Region Analysis to explore large sets of images and video files. It’s impractical to manually inspect results in large data sets. Automating image processing allows you to do your work more efficiently. At the end of this course, you’ll apply all the skills learned in this specialization to a final project. You’ll take the role of an engineer being asked to monitor traffic on a busy road. You’ll detect cars from a noisy video and analyze the results. You will use MATLAB throughout this course.
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Course by
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Self Paced
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13 hours
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English
Image Segmentation, Filtering, and Region Analysis
In this course, you will build on the skills learned in Introduction to Image Processing to work through common complications such as noise. You’ll use spatial filters to deal with different types of artifacts. You’ll learn new approaches to segmentation such as edge detection and clustering. You’ll also analyze regions of interest and calculate properties such as size, orientation, and location. By the end of this course, you’ll be able to separate and analyze regions in your own images. You’ll apply your skills to segment an MRI image of a brain to separate different tissues.
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Course by
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Self Paced
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10 hours
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English
Logic for Economists
This course provides a very brief introduction to basic mathematical concepts like propositional and predicate logic, set theory, the number system, and proof techniques. At the end of the course, students will be able to (1) detect the logical structure behind simple puzzles (2) be able to manipulate logical expressions (3) explain the connection between logic and set theory (4) explain the differences between natural, integer, rational, real and complex numbers (5) recognise different basic proof techniques
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Course by
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Self Paced
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7 hours
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English
Mathematical Foundations for Cryptography
Welcome to Course 2 of Introduction to Applied Cryptography. In this course, you will be introduced to basic mathematical principles and functions that form the foundation for cryptographic and cryptanalysis methods. These principles and functions will be helpful in understanding symmetric and asymmetric cryptographic methods examined in Course 3 and Course 4. These topics should prove especially useful to you if you are new to cybersecurity. It is recommended that you have a basic knowledge of computer science and basic math skills such as algebra and probability.
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Course by
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Self Paced
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15 hours
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English
Python for Beginners: Data Structures
This Guided Project "Python for Beginners: Data Structures" is for individuals who are new to programming and want to learn the basics of Python data structures. In this 2-hour long project-based course, you will learn about lists, tuples, sets, and dictionaries and how to use them to solve real-world problems through a student performance analysis short project.
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Course by
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Self Paced
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3 hours
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English
Introduction to Complexity Science
This course explores the features of complexity science. Our world is connected by an abundance of complex systems. Across all levels of organizations from physical, biological world to the social world, we may think of the connectivity between individual elements and how they interact and influence each other. For example, how humans transmit pandemics within a group, how cars interact in the traffic system and how networks connect in governmental organizations. Although these systems are diverse and different, they have surprisingly huge features in common.
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Course by
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Self Paced
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17 hours
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English
Introduction to Predictive Modeling
Welcome to Introduction to Predictive Modeling, the first course in the University of Minnesota’s Analytics for Decision Making specialization. This course will introduce to you the concepts, processes, and applications of predictive modeling, with a focus on linear regression and time series forecasting models and their practical use in Microsoft Excel.
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Course by
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Self Paced
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12 hours
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English
Introduction to Engineering Mechanics
This course is an introduction to learning and applying the principles required to solve engineering mechanics problems. Concepts will be applied in this course from previous courses you have taken in basic math and physics. The course addresses the modeling and analysis of static equilibrium problems with an emphasis on real world engineering applications and problem solving. The copyright of all content and materials in this course are owned by either the Georgia Tech Research Corporation or Dr. Wayne Whiteman.
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Course by
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Self Paced
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15 hours
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English
Classical Cryptosystems and Core Concepts
Welcome to Introduction to Applied Cryptography. Cryptography is an essential component of cybersecurity. The need to protect sensitive information and ensure the integrity of industrial control processes has placed a premium on cybersecurity skills in today’s information technology market. Demand for cybersecurity jobs is expected to rise 6 million globally by 2019, with a projected shortfall of 1.5 million, according to Symantec, the world’s largest security software vendor. According to Forbes, the cybersecurity market is expected to grow from $75 billion in 2015 to $170 billion by 2020.
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Course by
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Self Paced
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12 hours
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English
Introduction to Image Processing
In this introduction to image processing, you'll take your first steps in accessing and adjusting digital images for analysis and processing. You will load, save, and adjust image size and orientation while also understanding how digital images are recognized. You will then perform basic segmentation and quantitative analysis. Lastly, you will enhance the contrast of images to make objects of interest easier to identify. By the end of the course, you’ll apply your segmentation skills to identify regions of interest, such as the amount of surface water from satellite images.
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Course by
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Self Paced
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11 hours
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English
An Introduction to Pre-University Mathematics
This self-paced course aims to introduce basic mathematical concepts and maximize your chances of success in undergraduate-level quantitative subjects.
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Course by
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Self Paced
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15
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English
Data Science Math Skills
Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time.
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Course by
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Self Paced
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13 hours
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English
Foundations of Data Science: K-Means Clustering in Python
Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government. This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses.
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Course by
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Self Paced
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29 hours
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English
Monthly Subscription
Included in- Starter @ AED 99 + VAT
- Professional @ AED 149 + VAT
- AED 170.99 + VAT
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Bayesian Statistics: Techniques and Models
This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Real-world data often require more sophisticated models to reach realistic conclusions. This course aims to expand our “Bayesian toolbox” with more general models, and computational techniques to fit them.
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Course by
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Self Paced
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30 hours
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English
Monthly Subscription
Included in- Starter @ AED 99 + VAT
- Professional @ AED 149 + VAT
- AED 170.99 + VAT
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Bayesian Statistics: From Concept to Data Analysis
This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach. In particular, the Bayesian approach allows for better accounting of uncertainty, results that have more intuitive and interpretable meaning, and more explicit statements of assumptions.
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Course by
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Self Paced
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12 hours
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English
Monthly Subscription
Included in- Starter @ AED 99 + VAT
- Professional @ AED 149 + VAT
- AED 170.99 + VAT
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Mathematical Thinking in Computer Science
Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. In this course, we will learn the most important tools used in discrete mathematics: induction, recursion, logic, invariants, examples, optimality. We will use these tools to answer typical programming questions like: How can we be certain a solution exists? Am I sure my program computes the optimal answer?
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Course by
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Self Paced
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42 hours
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English
Monthly Subscription
Included in- Starter @ AED 99 + VAT
- Professional @ AED 149 + VAT
- AED 274.99 + VAT
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Combinatorics and Probability
Counting is one of the basic mathematically related tasks we encounter on a day to day basis. The main question here is the following. If we need to count something, can we do anything better than just counting all objects one by one? Do we need to create a list of all phone numbers to ensure that there are enough phone numbers for everyone? Is there a way to tell that our algorithm will run in a reasonable time before implementing and actually running it?
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Course by
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Self Paced
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24 hours
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English
Monthly Subscription
Included in- Starter @ AED 99 + VAT
- Professional @ AED 149 + VAT
- AED 274.99 + VAT
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Introduction to Graph Theory
We invite you to a fascinating journey into Graph Theory — an area which connects the elegance of painting and the rigor of mathematics; is simple, but not unsophisticated. Graph Theory gives us, both an easy way to pictorially represent many major mathematical results, and insights into the deep theories behind them. In this online course, among other intriguing applications, we will see how GPS systems find shortest routes, how engineers design integrated circuits, how biologists assemble genomes, why a political map can always be colored using a few colors.
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Course by
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Self Paced
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21 hours
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English
Monthly Subscription
Included in- Starter @ AED 99 + VAT
- Professional @ AED 149 + VAT
- AED 274.99 + VAT
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Fundamentals of Scalable Data Science
Apache Spark is the de-facto standard for large scale data processing. This is the first course of a series of courses towards the IBM Advanced Data Science Specialization. We strongly believe that is is crucial for success to start learning a scalable data science platform since memory and CPU constraints are to most limiting factors when it comes to building advanced machine learning models.\n\nIn this course we teach you the fundamentals of Apache Spark using python and pyspark.
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Course by
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Self Paced
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22 hours
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English
Monthly Subscription
Included in- Starter @ AED 99 + VAT
- Professional @ AED 149 + VAT
- AED 274.99 + VAT
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Number Theory and Cryptography
A prominent expert in the number theory Godfrey Hardy described it in the beginning of 20th century as one of the most obviously useless branches of Pure Mathematics”. Just 30 years after his death, an algorithm for encryption of secret messages was developed using achievements of number theory. It was called RSA after the names of its authors, and its implementation is probably the most frequently used computer program in the world nowadays. Without it, nobody would be able to make secure payments over the internet, or even log in securely to e-mail and other personal services.
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Course by
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Self Paced
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17 hours
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English
Monthly Subscription
Included in- Starter @ AED 99 + VAT
- Professional @ AED 149 + VAT
- AED 274.99 + VAT
Buy Now