Software - Mathematica, MATLAB, Aspen Plus
Learn to use Mathematica, MATLAB, and Aspen Plus for engineering computing through comprehensive screencasts covering interactive simulations, data analysis, programming, and chemical process modeling.
Numerical Analysis
Explore differential equations, numerical integration, and root-finding methods using software tools. Learn practical techniques for solving complex mathematical problems in engineering and science.
Logistic Regression
Learn to predict discrete outcomes using logistic regression, covering coefficients, maximum likelihood, R-squared, p-values, deviance, and practical implementation in R.
Introduction to SQL
Learn essential SQL concepts and commands, from basic queries to complex operations, using PostgreSQL. Gain practical skills in database management and data manipulation.
GraphQL Tutorial
Learn GraphQL from basics to advanced concepts, including schema setup, queries, mutations, and integration with React and Apollo Client for efficient data fetching and management.
Big Data Analytics
Comprehensive exploration of big data analytics, covering programming, databases, statistics, machine learning, visualization, and cloud computing for practical applications.
Statistics and Machine Learning in R
If you want to do statistics and machine learning in R, this playlist is for you, and you only. No one else is allowed to watch it.
Spring Boot Microservices Level 3 - Microservice Configuration
Learn advanced Spring Boot microservices configuration techniques, including property files, YAML, profiles, environment objects, and Spring Cloud Config Server for dynamic and centralized configuration management.
Regular Expressions - RegEx Tutorial
Master Regular Expressions: Learn patterns, character sets, metacharacters, and practical applications in JavaScript for form validation and data matching.
PostgreSQL Course
Comprehensive introduction to PostgreSQL, covering database basics, installation, table creation, data manipulation, querying, constraints, joins, and advanced features like UUID and extensions.
Ansible for the Absolute Beginners
In this beginner-level course, you will learn about Ansible. You will learn about YAML with coding exercises, Ansible Playbook, Ansible Playable, Ansible UI, Docker, DevOps, preparation for Ansible certification with mock exams, and gaining free work exp…
OpenShift for the Absolute Beginners
Learn OpenShift fundamentals, Kubernetes basics, and DevOps practices. Explore templates, catalogs, and CI/CD concepts. Prepare for Kubernetes certification with hands-on examples and practice tests.
Gatsby Tutorial
In this Gatsby tutorial series we'll learn Gatsby from the ground up to create a dynamic, multi-page Gatsby portfolio website. We'll learn about SSG, GraphQL, Pages, Routes, Plugins and much more.
Introduction to Perl
Learn Perl with Rob! In this course, you will learn about Perl data structures, Perl functions and commands, regular expressions, subroutines and modules, writing a web crawler with LWP, and Perl DBI.
Introduction to Database Systems
This course introduces the students to the various theoretical and practical principles involved in the design and use of databases systems with the help of database management systems (DBMS) and the SQL Standard.
SQL Summer Camp
In this series of videos, Kaggle Data Scientist, Rachael, will walk you through how to use SQL.
Marketing Analytics
Learn R programming and advanced marketing analytics techniques, including consumer behavior, segmentation, pricing, forecasting, and data-driven decision-making for business success.
Essentials of Data Science With R Software - Probability and Statistical Inference
The main objective of statistics is to work on a small sample of data but provide conclusions for the whole population. Such results cannot be obtained without learning the concepts and tools of theory of probability and statistical inference.
Building a Real Estate Search App With GRANDstack
Using GraphQL, React, Apollo and Neo4j Database, we will build a real estate search application. Along the way, we will tackle issues such as data modeling and import, building a GraphQL API, authorization, and using 3rd party APIs.
Intro to Database Systems - Fall 2017
Comprehensive introduction to database systems covering relational models, SQL, storage, query processing, optimization, concurrency control, recovery, and distributed systems.
Intro to Database Systems - Fall 2018
Comprehensive exploration of database systems, covering relational models, SQL, storage, indexing, query processing, concurrency control, recovery, and distributed databases.