Search result for Algorithm in data structure Online Courses & Certifications
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Introduction to Data Science in Python
by Christopher Brooks- 4.5
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Approx. 31 hours to complete
This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python. 50 years of Data Science, David Donoho (Optional) The Series Data Structure DataFrame Data Structure...
Algorithmic Toolbox
by Alexander S. Kulikov , Michael Levin , Neil Rhodes , Pavel Pevzner , Daniel M Kane- 4.6
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Approx. 39 hours to complete
We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. Alternative testing guide in Python Naive Algorithm Algorithm...
Pathfinding in Unity
by Wilmer Lin- 4.6
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4.5 hours on-demand video
implementing A* search and graph search algorithms in Unity learn to use text files or texture maps to drive level data in Unitylearn how to implement a priority queue (binary heap) in C#learn to structure a small project using the MVC(Model View Controller) design pattern...
$13.99
Competitive Programmer's Core Skills
by Alexander S. Kulikov , Alexander Logunov , Kirill Simonov , Aliaksei Tolstsikau- 4.6
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Approx. 32 hours to complete
During the course, you’ll learn everything needed to participate in real competitions — that’s the main goal. So it’s fine if you’ve never taken part in programming competitions before. Introduction and Course Structure Steps in Solving a Problem Segment Tree Structure Basic Data Structures Advanced Data Structures and I/O Algorithm...
Getting Started with SAS Programming
by Stacey Syphus- 4.8
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Approx. 22 hours to complete
You will know how to explore and validate data, prepare data by subsetting rows and computing new columns, analyze and report on data, export data and results to other formats, use SQL in SAS to query and join tables. Accessing Data in a Program Formatting Data Values in Results Demo: Formatting Data Values in Results...
Big Data Analysis with Scala and Spark
by Prof. Heather Miller- 4.7
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Approx. 28 hours to complete
Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. - express algorithms for data analysis in a functional style,...
Data for Machine Learning
by Anna Koop- 4.4
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Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. Understand the critical elements of data in the learning, training and operation phases What Does Good Data look like? Match Data to the needs of the learning Algorithm Bias in Data Sources...
Introduction to Genomic Technologies
by Steven Salzberg, PhD , Jeff Leek, PhD- 4.6
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Approx. 6 hours to complete
You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed. This is the first course in the Genomic Data Science Specialization. Memory and Data Structures Data Science Technology Data Sharing Plans Plotting Your Data...
Introduction to Designing Data Lakes on AWS
by Morgan Willis , Rafael Lopes- 4.7
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Approx. 14 hours to complete
In this class, Introduction to Designing Data Lakes on AWS, we will help you understand how to create and operate a data lake in a secure and scalable way, without previous knowledge of data science! Starting with the "WHY" you may want a data lake, we will look at the Data-Lake value proposition, characteristics and components....
Capstone: Analyzing (Social) Network Data
by Christine Alvarado , Mia Minnes , Leo Porter- 4.7
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Approx. 18 hours to complete
In this capstone project we’ll combine all of the skills from all four specialization courses to do something really fun: analyze social networks! The opportunities for learning are practically endless in a social network. Introduction to (some) social network data Representing social network data as a graph Warm up algorithm 1: Extracting egonets...
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