Search result for What is data structure and algorithm Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 845 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Materials Data Sciences and Informatics
by Dr. Surya Kalidindi- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
More specifically, it is argued that modern data sciences (including advanced statistics, dimensionality reduction, and formulation of metamodels) and innovative cyberinfrastructure tools (including integration platforms, databases, and customized tools for enhancement of collaborations among cross-disciplinary team members) are likely to play a critical and pivotal role in addressing the above challenges....
C++ For C Programmers, Part A
by Ira Pohl- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 13 hours to complete
This course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software. 1 Overview and Course Organization 7 C++ is Better Than C 1 C++ Generics and Functions 4 Graph as a Data Structure 2 Point and its Constructor...
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
by 林軒田- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 10 hours to complete
Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. What is Machine Learning Perceptron Learning Algorithm (PLA) Non-Separable Data...
Competitive Programmer's Core Skills
by Alexander S. Kulikov , Alexander Logunov , Kirill Simonov , Aliaksei Tolstsikau- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 32 hours to complete
We start from the very beginning by teaching you what competitions there are, what are their rules, what specifics problems have, how to read problem statements, how to organize your work, and what you should and shouldn’t do. Introduction and Course Structure Custom Cases and Testing Workflow What is Readability? Advanced Data Structures and I/O...
Data Science in Real Life
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 7 hours to complete
This is a focused course designed to rapidly get you up to speed on doing data science in real life. Describe possible pitfalls when pulling / assembling data and learn solutions for managing data pulls. Challenge statistical modeling assumptions and drive feedback to data analysts The data pull is clean The Data Pull is Clean...
Industrial IoT on Google Cloud
by Google Cloud Training- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 18 hours to complete
What is IoT? What is IoT? What is IoT? What is IoT? Analyzing and Visualizing Data with Dataprep and Data Studio An integrated data pipeline Analyzing and Visualizing Data with Dataprep and Data Studio - Review Flow structure and objects Share reports and data Use BigQuery and Dataprep to analyze data...
Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames
by Alexey A. Dral , Pavel Klemenkov , Natalia Pritykovskaya , Pavel Mezentsev- 4
-
![]()
![]()
![]()
![]()
![]()
Approx. 37 hours to complete
No doubt working with huge data volumes is hard, but to move a mountain, you have to deal with a lot of small stones. - Organizing your data in Hive to optimize disk space usage and execution times; What is BigData Analysis? What is Pandas DataFrame and how to create it...
Related searches
Introduction to Formal Concept Analysis
by Sergei Obiedkov- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 26 hours to complete
This course is an introduction into formal concept analysis (FCA), a mathematical theory oriented at applications in knowledge representation, knowledge acquisition, data analysis and visualization. FCA can help in processing a wide class of data types providing a framework in which various data analysis and knowledge acquisition techniques can be formulated. What is formal concept analysis?...
Competitive Programming for Beginners
by Filipp Rukhovich , Ilia Stepanov , Oleg Hristenko , Vladislav Nevstruev- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 153 hours to complete
After this course, you will learn what types of problems you will have to solve at the competitions, what is the effective program, how to estimate the algorithms efficiency, how to use basic algorithms and ideas during the problems solution. Integer data types structure. Basic and Extended Euclidean Algorithm Number and Graph Theories...
Machine Learning
by Andrew NgTop Instructor- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 61 hours to complete
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. What is Machine Learning? What is Machine Learning? Map Reduce and Data Parallelism Getting Lots of Data and Artificial Data...
Previous
