Search result for Data structures and algorithms Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 1,373 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Data Mining Through Cluster Analysis Using Python
by Ermin Dedic- 4.2
-
![]()
![]()
![]()
![]()
![]()
1 hour on-demand video
Discover two non-hierarchical clustering algorithms, k-means and DBSCAN. This course is ideal for those that are interested in data mining, and it is a beginner course. This is a major component of exploratory data mining. If you are interested in data mining, and want to get a taste of how it works, this course is a great introduction!...
$12.99
Feature Engineering
by Google Cloud Training- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 18 hours to complete
What about how to find which data columns make the most useful features? Welcome to Feature Engineering where we will discuss good vs bad features and how you can preprocess and transform them for optimal use in your models. Raw Data to Features and Good vs Bad Features Preprocessing and feature creation...
Python Programming Bootcamp
by Derek Banas- 4.6
-
![]()
![]()
![]()
![]()
![]()
49 hours on-demand video
I work through the solutions and also provide heavily commented code and quizzes that will turn you into a Python Master! Start Slow and Aim to Learn Everything This is a living breathing tutorial! I’ll be adding more on Algorithms, Data Structures, PyQt, Django, Flask, Data Analysis, Scikit-learn, TensorFlow and More!...
$14.99
Accounting Data Analytics with Python
by Ronald Guymon , Linden Lu- 4.1
-
![]()
![]()
![]()
![]()
![]()
Approx. 32 hours to complete
It will cover some of the same material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor. We then analyze the data using visualizations and linear regression. 1 Introduction to Python Data Structures...
Complete Outlier Detection Algorithms A-Z: In Data Science
by Saurav Singla- 4.8
-
![]()
![]()
![]()
![]()
![]()
1.5 hours on-demand video
Outlier Detection Algorithms in Data Science, Machine Learning, Deep Learning, Data Analysis, Statistics with Python Welcome to the course "Complete Outlier Detection Algorithms A-Z: In Data Science". Outlier detection algorithms are useful in areas such as Machine Learning, Deep Learning, Data Science, Pattern Recognition, Data Analysis, and Statistics....
$12.99
Introduction to Data Structures
by Nick Falkner , Brad Alexander- 0.0
-
![]()
![]()
![]()
![]()
![]()
6 Weeks
Well organised data structures allow for quick and efficient retrieval of information and are essential for modern computing. Organised data can be easily sorted, ordered, and searched to retrieve information that meets certain requirements. How to produce basic data structures such as linked lists, trees and graphs, as part of a simple graphical application...
$50
Data Privacy Fundamentals
by Woodrow HartzogTop Instructor , Todd RelafordTop Instructor- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 9 hours to complete
This course is designed to introduce data privacy to a wide audience and help each participant see how data privacy has evolved as a compelling concern to public and private organizations as well as individuals. In this course, you will hear from legal and technical experts and practitioners who encounter data privacy issues daily....
Design Thinking and Predictive Analytics for Data Products
by Julian McAuley , Ilkay Altintas- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. In this course, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive models....
R Programming Hands-on Specialization for Data Science (Lv1)
by Irfan Elahi- 3.8
-
![]()
![]()
![]()
![]()
![]()
11 hours on-demand video
To be proficient in R for Data Science requires thorough understanding of R programming constructs, data structures and none of the available courses cover them with the comprehensiveness and depth that each topic deserves. Many courses dive straight into Machine Learning algorithms and advanced stuff without thoroughly comprehending the R programming constructs. This will involve acquiring, cleansing, munging and analyzing data using R statistical and visualisation capabilities....
$12.99
Business Analytics and Digital Media
by Sudhir Voleti- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
The explosion in digital media - web, social and now mobile - represents a departure from how things were like in the last century. This proliferation of digital media is both a threat and an opportunity for many businesses. Data Types and Psychometric Scaling Data sets and slides as reference material for Perceptual mapping...
Previous
