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This online course gives an introduction to data science. It explores one of the most internationally-recognized processes for solving data-science problems.
Visualization is the field of research in computer science that studies effective communication of quantitative results by linking perception, cognition, and algorithms to...
This course is an introduction to least squares from a linear algebraic and mathematical perspective.
This online course gives an introduction to Python programming for Data Science and Artificial Intelligence. It is the first course of a course series / Specialization on...
This MOOC teaches some advanced Excel skills - including index formulas, logical text and nested functions. It also explores data connections to external databases, and Visual...
This online course series teaches how to analyze life sciences data using the R programming language.
This online course series gives a practical introduction to data mining using the Weka workbench.
This series of 6 individual MOOCs gives an introduction to Big Data for beginners (no prior experience required). With these online courses, participants will develop a robust...
This online course series teaches the importance of software design, programming skills (C++), data structures, and algorithm principles.
This MOOC aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and...
This online course program explores strategies to put ethics into practice in data-driven technologies such as Artificial Intelligence, Data Science, and Internet of Things.
This online course (MOOC) teaches the basics of statistics.It includes the following topics :Descriptive statistics, i.e. how to describe data: central tendency (mean, median),...
This online course series explores how to make accurate predictions with data-driven systems and deploy machine learning models using the Python programming language.
This online course teaches how to to create machine learning algorithms in Python and R.
This online course explores Spark and Scala for Big Data applications, including Spark 2.0 DataFrames.
This online course series explores how to derive insights through data analysis and visualization using the Google Cloud Platform.
This online course teaches how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow and more.
This online course program shows how to build real-time applications to process big data at scale. It includes modern data engineering tools, such as Apache Spark, Kafka, Spark...
This online course gives an introduction to the most common open science practices. It aims to empower researchers to conduct, support, and disseminate research efficiently and...
This course teaches the general concepts of data mining along with basic methodologies and applications. Then dives into one subfield in data mining: pattern discovery. It...
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