Search result for Data structures and algorithms Online Courses & Certifications
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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 Demo: Creating a Project and Selecting Data...
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
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Approx. 34 hours to complete
The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e....
The Design and Analysis of Algorithm Masterclass [ 2019 ]
by Up Degree- 3.6
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12.5 hours on-demand video
Algorithm & Data Structures will help you to Crack Coding Interviews (C/C++Java/Python) Learn Algorithm Data Structures Algorithm is the concepts which differentiate one average software engineer and one better software engineer. That is the reason we make this Design and Analysis of algorithm Masterclass. Learn various Popular Data Structures and their Algorithms. NP Completeness and Approximation Algorithms...
$16.99
Introduction to MongoDB for Data Analytics
by Brian Dowe- 3.3
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6 hours on-demand video
You'll then move on to designing your own database to store data for a blogging website, exploring how different data structures can be best-suited to solve different problems depending on the use case. You'll use filtering, projection, sorting, and querying complex data structures to extract actionable insights from real world datasets....
$11.99
Excel/VBA for Creative Problem Solving, Part 1
by Charlie NuttelmanTop Instructor- 4.8
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Approx. 18 hours to complete
This course is the first part of a three-part series and Specialization that focuses on the application of computing techniques in Excel/VBA to solve problems. Macro recording, VBA procedures, and debugging Declaration of variables, data types, and scope of variables Worked mini-project: Searching through high and low temperatures in an Excel workbook Implementing targeting and optimization algorithms in VBA subroutines...
Practical Foundations of R Programming
by Geoffrey Hubona, Ph.D.- 4.4
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8 hours on-demand video
The basics of programming in R: R data structures; R subsetting operations; and R functions In each of the three major sections of the course, (1) data structures, (2) subsetting, and (3) functions, there are multiple sets of within-section exercises, as well as a final end-of-section exercise set....
$11.99
How to Code: Complex Data
by Gregor Kiczales- 0.0
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6 Weeks
Learn how to design more complex programs, using new data structures, abstraction, and generative recursion. By learning how to capture common data and control structures using abstraction, your programs will get shorter and better tested. This course will teach you how to design better, cleaner and faster programs. How to identify commonalities in data definitions and functions...
$125
Computational Geometry
by Alexander S. Kulikov , Aliaksei Tolstsikau , Kira Vyatkina- 3.9
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Approx. 19 hours to complete
Its application areas include computer graphics, computer-aided design and geographic information systems, robotics, and many others. You will learn to apply to this end various algorithmic approaches, and asses their strong and weak points in a particular context, thus gaining an ability to choose the most appropriate method for a concrete problem. 3 Data structures...
Distributed Machine Learning with Apache Spark
by Ameet Talwalkar , Jon Bates- 0.0
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4 Weeks
Learning algorithms enable a wide range of applications, from everyday tasks such as product recommendations and spam filtering to bleeding edge applications like self-driving cars and personalized medicine. This statistics and data analysis course introduces the underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines. Exploratory data analysis, feature extraction, supervised learning, and model evaluation...
$99
Foundations of Data Science
by Dinesh Kumar- 0.0
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7 Weeks
Learn the fundamental concepts in probability, statistics, optimization and linear algebra which form the foundations for data science. Data Science along with artificial intelligence (AI) and its various components such as statistical learning (SL), machine learning (ML) and deep learning algorithms (DL) are recognized as main drivers of organizational value creation....
$149
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