Search result for Data structures and algorithms in c++ Online Courses & Certifications
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Business Analytics Executive Overview
by Douglas B. Laney- 4.6
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Approx. 17 hours to complete
Businesses run on data, and data offers little value without analytics. Increasingly many businesses are striving to become “data-driven”, proactively relying more on cold hard information and sophisticated algorithms than upon the gut instinct or slow reactions of humans. Lecture 1-5-3 Where to Put the Data and How to Get it There?...
Graph Algorithms
by Daniel Kane , Alexander S. Kulikov , Michael Levin- 0.0
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6 Weeks
Learn how to use algorithms to explore graphs, compute shortest distance, min spanning tree, and connected components. In this course, part of the Algorithms and Data Structures MicroMasters program, you will learn what a graph is and its most important properties. Graph exploration and decomposition into connected components Shortest paths algorithms, including breadth-first search, Dijkstra’s algorithm and Bellman-Ford algorithm...
$150
Computer Science: Programming with a Purpose
by Robert Sedgewick , Kevin Wayne- 4.7
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Approx. 88 hours to complete
The basis for education in the last millennium was “reading, writing, and arithmetic;” now it is reading, writing, and computing. Learning to program is an essential part of the education of every student, not just in the sciences and engineering, but in the arts, social sciences, and humanities, as well. Built-in data types...
Modeling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
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Approx. 21 hours to complete
Developing insights about your organization, business, or research project depends on effective modeling and analysis of the data you collect. Different modeling approaches can be chosen to detect interesting patterns in the data and identify hidden relationships. Descriptive and Exploratory Data Analysis Apply machine learning workflows to detect complex patterns in your data...
Computer Science: Algorithms, Theory, and Machines
by Robert Sedgewick , Kevin Wayne- 4.7
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Approx. 20 hours to complete
First, we introduce classic algorithms along with scientific techniques for evaluating performance, in the context of modern applications. We conclude with machine architecture (including machine-language programming and its relationship to coding in Java) and logic design (including a full CPU design built from the ground up). SORTING AND SEARCHING Optional Enrichment on Sorting and Searching...
Metagenomics applied to surveillance of pathogens and antimicrobial resistance
by Ana Sofia Ribeiro Duarte , Tine Hald , Sünje Johanna Pamp , Patrick Munk , Liese Van Gompel , Valeria Bortolaia , Pimlapas Leekitcharoenphon- 4.7
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Approx. 15 hours to complete
The field of metagenomics and whole community sequencing is a promising area to unravel the content of microbial communities and their relationship to disease and antimicrobial resistance in the human population. Bioinformatic tools are extremely important for making sense out of metagenomics data, by estimating the presence of pathogens and antimicrobial resistance determinants in complex samples....
Laboratorio di programmazione: strumenti e programmi
by Marco Lapegna- 0.0
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10 Weeks
Learn how to develop dynamic and interactive programs in Fortran and C programming language. In particular, the students will: carry out diverse problems, develop the relevant solution algorithms and use two programming languages for the scientific-technical calculations: Fortran and C. • algorithms and introductory programs to the control structures; • algorithms and sorting, research and fusion programs;...
$60
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Algorithms: Design and Analysis, Part 1
by Tim Roughgarden- 0.0
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6 Weeks
Specific topics in the course include: "Big-oh" notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), randomized algorithms (QuickSort, contraction algorithm for min cuts), data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of BFS and DFS, connectivity, shortest paths). Data structures (heaps, balanced search trees, hash tables, bloom filters)...
$149
Machine Learning Using SAS Viya
by Jeff Thompson , Catherine Truxillo- 4.7
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Approx. 35 hours to complete
In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment. SAS Viya Tools for SAS Visual Data Mining and Machine Learning Feature Engineering in SAS Visual Data Mining and Machine Learning...
Practical Predictive Analytics: Models and Methods
by Bill Howe- 4.1
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Approx. 7 hours to complete
Statistical experiment design and analytics are at the heart of data science. In this course you will design statistical experiments and analyze the results using modern methods. Explain and apply a set of unsupervised learning concepts and methods Significance Tests and P-Values Big Data and Spurious Correlations DBSCAN Variable Density and Parallel Algorithms...
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