Search result for Data structures and algorithms Online Courses & Certifications
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Introduction to Object-Oriented Programming with Java III: Exceptions, Data Structures, Recursion, and GUIs
by Olufisayo Omojokun- 0.0
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6 Weeks
Learn how to create and use exceptions, data structures, recursion, and graphical user-interfaces (GUIs). This course provides students with the knowledge to handle and even create exceptions to achieve graceful error handling in programs. They will also create and utilize data structures, including lists and files. Understand the differences between array-based data structures and link-based ones...
$199
Cluster Analysis in Data Mining
by Jiawei Han- 4.5
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Approx. 17 hours to complete
Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. This includes partitioning methods such as k-means, hierarchical methods such as BIRCH, and density-based methods such as DBSCAN/OPTICS. Moreover, learn methods for clustering validation and evaluation of clustering quality. 3 Requirements and Challenges...
Palo Alto Networks Cybersecurity Essentials I
by James Dalton- 4.7
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Approx. 18 hours to complete
Essentials I provides the student with a partial understanding of the fundamental tenants of cybersecurity and covers the general security concepts involved in maintaining a secure network computing environment. LAB SETUP START HERE: Connecting to the NDG platform and performing labs. Video: Data Center Security with PaloAlto Networks Firewall Video: Data Center Security - East / West Traffic...
Applied Unsupervised Learning with R
by Packt Publishing- 4.5
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4.5 hours on-demand video
Design clever algorithms that discover hidden patterns and draw responses from unstructured, unlabeled data. Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and features of R that enable you to understand your data better and get answers to your most pressing business questions....
$11.99
Introduction to Machine Learning
by Anton Boitsev , Aleksei Romanov , Dmitry Volchek , Elena Mikhailova- 0.0
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5 Weeks
Learn the essentials of machine learning and algorithms of statistical data analysis. In this course you will learn modern methods of machine learning to help you choose the right methods to analyze your data and interpret the results correctly. Classification methods: Logistic regression, Naïve Bayes and K-nearest neighbours Clustering methods: hierarchical and k-means clustering...
$149
Managing Big Data with MySQL
by Daniel Egger , Jana Schaich Borg- 4.7
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Approx. 32 hours to complete
You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them. This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts....
Scalable programming with Scala and Spark
by Loony Corn- 4.4
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9 hours on-demand video
Use Scala and Spark for data analysis, machine learning and analytics Analytics: Using Spark and Scala you can analyze and explore your data in an interactive environment with fast feedback. Machine Learning and Data Science : Spark's core functionality and built-in libraries make it easy to implement complex algorithms like Recommendations with very few lines of code....
$12.99
Unsupervised Learning with Python: Step-by-Step Tutorial!
by Packt Publishing- 2.8
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7.5 hours on-demand video
You will also be able to apply hard and soft clustering methods (k-Means and Gaussian Mixture Models) to assign segment labels to customers categorized in your sample data sets. Through this course, you will learn and apply concepts needed to ensure your mastery of unsupervised algorithms in Python. Case Study – K-Means and Wholesale Data...
$12.99
Hadoop Platform and Application Framework
by Natasha Balac, Ph.D. , Paul Rodriguez , Andrea Zonca- 4
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Approx. 26 hours to complete
In the assignments you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data. You'll feel empowered to have conversations about big data and the data analysis process. The Hadoop Distributed File System (HDFS) and HDFS2...
计算几何 | Computational Geometry
by Junhui Deng- 0.0
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16 Weeks
In this introductory computer science course, explore geometry, develop geometric thinking, and learn geometric algorithms. Since then, this phrase has been used to refer to algorithmic study on discrete and combinatorial geometric structures and can also be regarded as the geometric version of Algorithm Design and Analysis. Essential geometric structures and algorithms such as polygon decompositions, Voronoi diagrams, Delaunay triangulations...
$49
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