Search result for Data structures and algorithms course Online Courses & Certifications
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Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
by Reza Farivar , Roy H. Campbell- 4.3
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Approx. 20 hours to complete
In this second course we continue Cloud Computing Applications by exploring how the Cloud opens up data analytics of huge volumes of data that are static or streamed at high velocity and represent an enormous variety of information. We discuss eventual consistency, ACID, and BASE and the consensus algorithms used in data centers including Paxos and Zookeeper....
Art and Science of Machine Learning
by Google Cloud Training- 4.6
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Approx. 19 hours to complete
Welcome to the Art and Science of machine learning. The course covers the essential skills of ML intuition, good judgment and experimentation needed to finely tune and optimize ML models for the best performance. We’ll cover some of the most common model optimization algorithms and show you how to specify an optimization method in your TensorFlow code....
Advanced Recommender Systems
by Paolo Cremonesi- 0.0
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Approx. 15 hours to complete
You will know how to use factorization machines and represent the input data accordingly. This course leverages two important EIT Digital Overarching Learning Outcomes (OLOs), related to your creativity and innovation skills. Course overview and welcome by the instructor Course Syllabus HYBRID AND CONTEXT AWARE RECOMMENDER SYSTEMS...
Introduction to Python Programming
by Brandon Krakowsky- 4
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Approx. 28 hours to complete
This course provides an introduction to programming and the Python language. Students are introduced to core programming concepts like data structures, conditionals, loops, variables, and functions. Introduction to core programming concepts: Data structures, Conditionals, Variables, Functions, and Loops Understand and apply core programming concepts like data structures, conditionals, loops, variables, and functions...
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. • algorithms and introductory programs to the control structures; • algorithms and sorting, research and fusion programs; • algorithms and programs for the operations on matrices and vectors; • algorithms and programs on the floating point arithmetics....
$60
The Full Stack Developer Bootcamp
by Code Base Academy- 3.8
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9 hours on-demand video
This isn't a course driven by slides and instead puts the student in control, pushing them to code in every single lecture. Plus we cover Computer Science areas such as algorithms and Data Structures that will help you pass code interviews. And we are working hard to make it the best course you can find for Full Stack JavaScript Development....
$11.99
Business Analytics and Digital Media
by Sudhir Voleti- 4.4
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Approx. 8 hours to complete
The course picks and uses use-cases from a variety of industries and geographies, to showcase the potential and impact that business analytics done properly (or not) can have on business performance. Data Types and Psychometric Scaling Introduction to Business Analytics and Psychometrics Data sets and slides as reference material for Perceptual mapping...
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NoSQL systems
by María del Pilar Ángeles- 4.2
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Approx. 9 hours to complete
Welcome to the specialization course of NoSQL Systems. This course will be completed on six weeks, it will be supported with videos and exercises that will allow you to identify the differences between the relational and NoSQL databases. ● Use Atomic Aggregates and denormalization as data modelling techniques to optimize query processing...
How to Win a Data Science Competition: Learn from Top Kagglers
by Dmitry Ulyanov , Alexander Guschin , Mikhail Trofimov , Dmitry Altukhov , Marios Michailidis- 4.7
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Approx. 54 hours to complete
If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains such as credit, insurance, marketing, natural language processing, sales’ forecasting and computer vision to name a few....
Machine Learning: Classification
by Emily Fox , Carlos Guestrin- 4.7
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Approx. 21 hours to complete
You will also address significant tasks you will face in real-world applications of ML, including handling missing data and measuring precision and recall to evaluate a classifier. This course is hands-on, action-packed, and full of visualizations and illustrations of how these techniques will behave on real data. Task of learning decision trees from data...
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