Learn the art of Computer Programming in Python with interactive sessions based on interesting examples and fun programs

Learn the art of Computer Programming in Python with interactive sessions based on interesting examples and fun programs

By Prof Niels Nygaard/Dr Adam Ginensky This is a fast paced 10 week course in Machine Learning for learners with background in Statistics, Linear Algebra and Probability. The course is an intermediate course in supervised learning and will focus on Model Selection and Classification techniques. This course is an interactive course where the concepts taught during lectures will be implemented during the live sessions. This course will use Python and R for all programming assignments.

Practical Python is designed to provide the foundation for success in your efforts to learn Python programming and to become a productive programmer, data scientist, entrepreneur or to start a new career or rejoin the workforce.

This is a 10-week course in Python Programming for individuals with some prior experience in programming. A strong emphasis will be placed on understanding programming fundamentals and application of software design principles to real-life problems. This course will introduce students to important Python libraries like NumPy, SciPy, Matplotlib and their usage.

By Prof Niels Nygaard/Dr Adam Ginensky This is a fast paced 10 week course in Machine Learning for learners with background in Statistics, Linear Algebra and Probability. The course is an intermediate course in supervised learning and will focus on Model Selection and Classification techniques. This course is an interactive course where the concepts taught during lectures will be implemented during the live sessions. This course will use Python and R for all programming assignments.

Practical Python is designed to provide the foundation for success in your efforts to learn Python programming and to become a productive programmer, data scientist, entrepreneur or to start a new career or rejoin the workforce.

The focus of this introductory course would be “the smart sensor node” with emphasis on design, requirement, data interfacing and capabilities. The course would cover engineering fundamentals, blended with good industrial practices, which lead to the first-time success of the design and development of sensor node. API development, cloud computing, and data analysis would also be covered in brief. Lab sessions and case studies will supplement the classroom interactions.

This is an advanced course in Python Programming for learners having basic understanding of Python programming language

This is a 12 week course in Time Series Analysis for individuals with background in Linear Algebra, Calculus, Statistics and Probability. The course will introduce concepts like autocorrelation, stationarity, cointegration and more. The course will use time series concepts for developing sophisticated predictive models for financial markets. This course will use R for all programming assignments.

This course will teach you how to use Python and key libraries to perform essential Data Management tasks that are the foundation for all Data Science Initiatives. No matter what background you may come from if you put in the effort and have the passion, motivation and focus, this course is designed to enable you to succeed.

Introductory course in Python programming language which covers basics of programming, data structures used in Python and introduces useful Python packages

Learn the art of Computer Programming in Python with interactive sessions based on interesting examples and fun programs

This course will teach you how to use Python and key libraries to perform essential Data Management tasks that are the foundation for all Data Science Initiatives. No matter what background you may come from if you put in the effort and have the passion, motivation and focus, this course is designed to enable you to succeed.

Practical Python is designed to provide the foundation for success in your efforts to learn Python programming and to become a productive programmer, data scientist, entrepreneur or to start a new career or rejoin the workforce.

Learn the art of Computer Programming in Python with interactive sessions based on interesting examples and fun programs

The world is being transformed by the application of Machine Learning to different fields. This is a time of tremendous career and business opportunity for those who invest in this new and rapidly expanding field. This course will give you a practical understanding of Machine Learning. If you want to understand central ideas in the field of Machine Learning and practice how to use available tools and algorithms to solve real world problems, this course is for you

This is a 10 week course in Statistics for individuals with some prior programming and mathematics background. This course covers statistical concepts and techniques needed for business applications. In this course statistical concepts and methods of data analysis will be taught in a practical way using R. Students will use analytical skills and statistical tools for building predictive models for decision making.

This course uses real examples and projects to show how Deep Learning can be used for developing applications of Artificial Intelligence, such as processing of images, text and speech, reinforcement learning, anomaly detection and generative models.

The world is being transformed by the application of Machine Learning to different fields. This is a time of tremendous career and business opportunity for those who invest in this new and rapidly expanding field. This course will give you a practical understanding of Machine Learning. If you want to understand central ideas in the field of Machine Learning and practice how to use available tools and algorithms to solve real world problems, this course is for you

This is a 10-week course in Python Programming for individuals with some prior experience in programming. A strong emphasis will be placed on understanding programming fundamentals and application of software design principles to real-life problems. This course will introduce students to important Python libraries like NumPy, SciPy, Matplotlib and their usage.

The focus of this introductory course would be “the smart sensor node” with emphasis on design, requirement, data interfacing and capabilities. The course would cover engineering fundamentals, blended with good industrial practices, which lead to the first-time success of the design and development of sensor node. API development, cloud computing, and data analysis would also be covered in brief. Lab sessions and case studies will supplement the classroom interactions.

Learn the art of Computer Programming in Python with interactive sessions based on interesting examples and fun programs

Learn the art of Computer Programming in Python with interactive sessions based on interesting examples and fun programs

This is a 12 week course in Time Series Analysis for individuals with background in Linear Algebra, Calculus, Statistics and Probability. The course will introduce concepts like autocorrelation, stationarity, cointegration and more. The course will use time series concepts for developing sophisticated predictive models for financial markets. This course will use R for all programming assignments.

Learn the art of Computer Programming in Python with interactive sessions based on interesting examples and fun programs

Learn the art of Computer Programming in Python by working on interesting and fun Python projects in Art, Mathematics, Science, Computer Science and Computer Games.

Learn the art of Computer Programming in Python by working on interesting and fun Python projects in Art, Mathematics, Science, Computer Science and Computer Games.

Learn the art of Computer Programming in Python by working on interesting and fun Python projects in Art, Mathematics, Science, Computer Science and Computer Games.

Learn the art of Computer Programming in Python with interactive sessions based on interesting examples and fun programs

Develop your Python skill by writing interesting Python programs and participating in live instructor led interactive sessions.

This is a 12 week course in Time Series Analysis for individuals with background in Linear Algebra, Calculus, Statistics and Probability. The course will introduce concepts like autocorrelation, stationarity, cointegration and more. The course will use time series concepts for developing sophisticated predictive models for financial markets. This course will use R for all programming assignments.

This course will teach you Database concepts and its practical applications. The course will delve into the fundamentals of the database systems , performance and high level data query language. In this course you will also be introduced to modern No-SQL and distributed databases.

This is a 10 week course in Statistics for individuals with some prior programming and mathematics background. This course covers statistical concepts and techniques needed for business applications. In this course statistical concepts and methods of data analysis will be taught in a practical way using R. Students will use analytical skills and statistical tools for building predictive models for decision making.

By Prof Niels Nygaard/Dr Adam Ginensky This is a fast paced 10 week course in Machine Learning for learners with background in Statistics, Linear Algebra and Probability. The course is an intermediate course in supervised learning and will focus on Model Selection and Classification techniques. This course is an interactive course where the concepts taught during lectures will be implemented during the live sessions. This course will use Python and R for all programming assignments.

This course will teach you how to use Python and key libraries to perform essential Data Management tasks that are the foundation for all Data Science Initiatives. No matter what background you may come from if you put in the effort and have the passion, motivation and focus, this course is designed to enable you to succeed.

This course will teach you how to use Python and key libraries to perform essential Data Management tasks that are the foundation for all Data Science Initiatives. No matter what background you may come from if you put in the effort and have the passion, motivation and focus, this course is designed to enable you to succeed.

Learn the art of Computer Programming in Python with interactive sessions based on interesting examples and fun programs

This course uses real examples and projects to show how Deep Learning can be used for developing applications of Artificial Intelligence, such as processing of images, text and speech, reinforcement learning, anomaly detection and generative models.

Course in Machine learning which will cover topics like Mathematics of Machine Learning, Applicability of Machine Learning, Supervised Machine Learning, Unsupervised Machine Learning and Introduction to Neural Networks. This course has been specifically designed for programmers and system developers who have good experience with programming.

Learn fundamental concepts of probability to prepare for a career in Finance and Data Science

Learn the art of Computer Programming in Python with interactive sessions based on interesting examples and fun programs

This is an advanced course in Python Programming for learners having basic understanding of Python programming language

The course will concentrate on the topics like Applicability of common statistical methods to big data, Supervised and unsupervised learning methods and Applications of modern machine learning methods: decision trees, support vector machines, neural networks, factorization machines.

This course provides an introduction to data science and data mining concepts for managers with emphasis on data science applications and less on underlying mathematics .

Learn Python, Build Confidence, and Discover the Joy of Problem-Solving – Together!

Learn the art of Computer Programming in Python with interactive sessions based on interesting examples and fun programs

Learn the art of Computer Programming in Python with interactive sessions based on interesting examples and fun programs

Learn the art of Computer Programming in Python with interactive sessions based on interesting examples and fun programs