Search result for Data structures and algorithms Online Courses & Certifications
Get Course Alerts by Email
Machine Learning A-Z: Become Kaggle Master
by Geekshub Pvt Ltd- 3.7
36.5 hours on-demand video
This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science from beginner to advance level. Learn to use Numpy and Pandas for Data Analysis...
$19.99
Learn By Example : Apache Flink
by Loony Corn- 3.5
3 hours on-demand video
30 solved examples on Stream and Batch processing Using Flink you can build applications which need you to be highly responsive to the latest data such as monitoring spikes in payment gateway failures or triggering trades based on live stock price movements. 6) Applying ML algorithms on the fly using Flink-ML 7) Representing Graph data using Gelly...
$12.99
Matrix Methods
by Daniel Boley- 4.1
Approx. 7 hours to complete
Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Matrix Multiplication and other Operations Orthogonality and Inner Product. Orthogonality and the Inner Product...
Machine Learning for ABSOLUTE beginners! [April 2020 Edition
by Marufa Yasmin- 1.8
33 mins on-demand video
Learn and understand Machine Learning with hands on lectures from scratch. But essentially, machine learning is giving a computer the ability to write its own rules or algorithms and learn about new things, on its own. In this course, we'll explore some basic machine learning concepts and load data to make predictions....
$12.99
Python easy way
by Abhay Gadkari- 0.0
7 hours on-demand video
Basics to introductory Data Science Data science part includes dataframe and its functions and one case study, Numpy, Visualization. Program development for Input and output, Arithmetic operations and built-in types . User defined and built-in functions Data structures Logging and Exception handling Introduction to data science...
$12.99
The Beauty and Joy of Computing - APĀ® CS Principles Part 2
by Dan Garcia- 0.0
14 Weeks
Throughout the course, relevance is emphasized: relevance to the student and to society. Data and Information Recursion, Lambda and Higher Order Functions Lab-based Topics: Algorithms and Data, Trees and Fractals, Recursion and Higher Order Functions How to apply the "seven big ideas" of creativity, abstraction, data and information, algorithms, programming, the Internet, and global impact...
$49
Feature Engineering for Improving Learning Environments
by Andrew E. Krumm- 0.0
3 Weeks
In this course, you will learn how data from digital learning environments and administrative data systems can be used to help better understand relevant learning environments, identify students in need of support, and assess changes made to learning environments. This course pays particular attention to the ways in which researchers and data scientists can transform raw data into features (i....
$99
R Programming Basics for Data Science
by Yan Luo- 0.0
5 Weeks
This course introduces you to R language fundamentals and covers common data structures, programming techniques, and how to manipulate data all with the help of the R programming language. The R language plays a critical role in data analysis and a common programming language when working in the field of data science & analytics....
$99
C Programming for Beginners
by Eduonix Learning Solutions- 3.1
2.5 hours on-demand video
Get started with C programming language with this short and sweet course covering all the important aspects of the C development. Data Structures - Get to know the important data structures required for C programming. Socket programming - Learn to open ports and send and receive data through sockets...
$11.99
Introduction to Machine Learning in R
by Holczer Balazs- 4
8 hours on-demand video
This topic is getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. linear regression and implementation logistic regression and implementation k-nearest neighbor classifier and implementation naive bayes classifier and implementation clustering algorithms k means clustering and hierarchical clustering feedforward neural networks and its applications...
$12.99