Course


How to learn machine learning and neural networks

How to learn machine learning and neural networks

Use the R Programming Language to execute data science projects and become a data scientist. Implement business solutions, using machine learning and predictive analytics. The R language provides a way to tackle day-to-day data science tasks, and this course will teach you how to apply the R programming language and useful statistical techniques to everyday business situations. With this course, you'll be able to use the visualizations, statistical models, and data manipulation tools that modern...

Adv Data Scientist Job Ready Data Science Course:updated:Oct

Adv Data Scientist Job Ready Data Science Course:updated:Oct

Use the R Programming Language to execute data science projects and become a data scientist. Implement business solutions, using machine learning and predictive analytics. The R language provides a way to tackle day-to-day data science tasks, and this course will teach you how to apply the R programming language and useful statistical techniques to everyday business situations. With this course, you'll be able to use the visualizations, statistical models, and data manipulation tools that modern...

Master Deep Learning with TensorFlow in Python

Master Deep Learning with TensorFlow in Python

Use the R Programming Language to execute data science projects and become a data scientist. Implement business solutions, using machine learning and predictive analytics. The R language provides a way to tackle day-to-day data science tasks, and this course will teach you how to apply the R programming language and useful statistical techniques to everyday business situations. With this course, you'll be able to use the visualizations, statistical models, and data manipulation tools that modern...

Business Analytics for Data-Driven Decision Making

Business Analytics for Data-Driven Decision Making

Virtually all managerial and leadership positions in the digital economy increasingly rely on data-driven decision making. Recent studies have shown companies who adopt “Data-Driven Decision Management” achieve significant productivity gains over other firms. Having a solid grasp of the end-to-end process of making effective decisions with data will give you an edge, both in performing such analyses yourself, as well as in effectively managing teams of business analysts and data scientists. In t...

Big Data Analytics in Healthcare

Big Data Analytics in Healthcare

Data science plays an important role in many industries. In facing massive amounts of heterogeneous data, scalable machine learning and data mining algorithms and systems have become extremely important for data scientists. The growth of volume, complexity and speed in data drives the need for scalable data analytic algorithms and systems. In this course, we study such algorithms and systems in the context of healthcare applications. In healthcare, large amounts of heterogeneous medical data hav...

Statistical Analysis in Bioinformatics

Statistical Analysis in Bioinformatics

Improvements in modern biology have led to a rapid increase in sensitivity and measurability in experiments and have reached the point where it is often impossible for a scientist alone to sort through the large volume of data that is collected from just one experiment. For example, individual data points collected from one gene expression study can easily number in the hundreds of thousands. These types of data sets are often referred to as ‘biological big data’ and require bioinformaticians to...

Foundations of Data Science: Inferential Thinking by Resampling

Foundations of Data Science: Inferential Thinking by Resampling

Using real-world examples from law, medicine and football, you’ll discover how data scientists make conclusions about unknowns based on the data available. Often, the data we have is incomplete, yet we’d still like to draw inferences about the world and quantify the uncertainty in our conclusions. This is called statistical inference. In this course, you will learn methods for statistical inference and see how to apply them to real-world data sets. The course will teach you estimation: given a r...

Sparse Representations in Signal and Image Processing: Fundamentals

Sparse Representations in Signal and Image Processing: Fundamentals

This course introduces the fundamentals of the field of sparse representations, starting with its theoretical concepts, and systematically presenting its key achievements. We will touch on theory and numerical algorithms. Modeling data is the way we – scientists – believe that information should be explained and handled. Indeed, models play a central role in practically every task in signal and image processing. Sparse representation theory puts forward an emerging, highly effective, and univers...

Data, Analytics and Learning

Data, Analytics and Learning

Capturing and analyzing data has changed how decisions are made and resources are allocated in businesses, journalism, government, and military and intelligence fields. Through better use of data, leaders are able to plan and enact strategies with greater clarity and confidence. Data drives increased organizational efficiency and a competitive advantage. Simply, analytics provide new insight and actionable intelligence. In education, the use of data and analytics to improve learning is referred ...

Microsoft Professional Orientation : Data Science

Microsoft Professional Orientation : Data Science

This course is part of the Microsoft Professional Program Certificate in Data Science. Learn what it takes to become a data scientist. This is the first stop in the Data Science curriculum from Microsoft. It will help you get started with the program, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you’ll get an introduction to working with and exploring data using a variety of visualization, analytical, and statistical techniques. edX offers...

Programming in R for Data Science

Programming in R for Data Science

This course is part of the Microsoft Professional Program Certificate in Data Science. In this computer science course from Microsoft, developed in collaboration with the Technical University of Denmark (DTU), get the knowledge and skills you need to use R, the statistical programming language for data scientists, in the field of your choice. In this course you will learn all you need to get up to speed with programming in R. Explore R data structures and syntaxes, see how to read and write data...

Programming with Python for Data Science

Programming with Python for Data Science

This course is part of the Microsoft Professional Program Certificate in Data Science. This practical course, developed in partnership with Coding Dojo, targets individuals who have introductory level Python programming experience. The course teaches students how to start looking at data with the lens of a data scientist by applying efficient, well-known mining models in order to unearth useful intelligence, using Python, one of the popular languages for Data Scientists. Topics include data visu...

Data Science Essentials

Data Science Essentials

This course is part of the Microsoft Professional Program Certificate in Data Science and Microsoft Professional Program in Artificial Intelligence. Demand for data science talent is exploding. Develop your career as a data scientist, as you explore essential skills and principles with experts from Duke University and Microsoft. In this data science course, you will learn key concepts in data acquisition, preparation, exploration, and visualization taught alongside practical application oriented...

Foundations of Data Science: Prediction and Machine Learning

Foundations of Data Science: Prediction and Machine Learning

One of the principal responsibilities of a data scientist is to make reliable predictions based on data. When the amount of data available is enormous, it helps if some of the analysis can be automated. Machine learning is a way of identifying patterns in data and using them to automatically make predictions or decisions in the future. In this data science course, you will learn how basic concepts and elements of machine learning. The two main methods of machine learning you will learn are regre...

Data Preparation for Analytics A-Z™: Hands-on Alteryx

Data Preparation for Analytics A-Z™: Hands-on Alteryx

Use the R Programming Language to execute data science projects and become a data scientist. Implement business solutions, using machine learning and predictive analytics. The R language provides a way to tackle day-to-day data science tasks, and this course will teach you how to apply the R programming language and useful statistical techniques to everyday business situations. With this course, you'll be able to use the visualizations, statistical models, and data manipulation tools that modern...