Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
212 courses for “Master Python Plotly in 1.5 Hours: From Basics to Advanced Data Visualizations”
1 lesson, about 2 hours
A single session on computer science, about 2 hours, published on YouTube by CS50. Watched here on the course page.
1 lesson, about 3 hours
A single session on computer science, about 3 hours, published on YouTube by CS50. Watched here on the course page.
New courses, a couple of emails a month. One click unsubscribes.
1 lesson, about 12 hours
A single session on data science, about 12 hours, published on YouTube by freeCodeCamp.org. Watched here on the course page.
1 lesson, about 10 hours
A single session on data science, about 10 hours, published on YouTube by edureka!. Watched here on the course page.
1 lesson, about 6 hours
A single session on data science, about 6 hours, published on YouTube by freeCodeCamp.org. Watched here on the course page.
1 lesson, about 9 hours
A single session on data science, about 9 hours, published on YouTube by Intellipaat. Watched here on the course page.
1 lesson, about 50 hours
A single session on data science, about 50 hours, published on YouTube by Simplilearn. Watched here on the course page.
1 lesson, about 4 hours
A single session on it & networking, about 4 hours, published on YouTube by Kunal Kushwaha. Watched here on the course page.
1 lesson, about 9 hours
A single session on it & networking, about 9 hours, published on YouTube by freeCodeCamp.org. Watched here on the course page.
1 lesson, about 15 hours
Fifteen hours on network penetration testing from the ground up: setting up a lab, the tooling, and each stage of an engagement against a network you are allowed to test.
1 lesson, about 12 hours
Twelve hours of practical ethical hacking: reconnaissance, scanning, exploitation and post-exploitation, worked through against deliberately vulnerable targets.
1 lesson, about 5 hours
Five hours on the vocabulary and the fundamentals, aimed at somebody who needs the terminology of IT security before anything else makes sense.
1 lesson, about 8 hours
Eight hours covering cyber security end to end: the threat landscape, cryptography, network and application defence, and the certifications the field hires against.
1 lesson, 8 minutes
An eight-minute introduction to machine learning: how a model learns from data, the difference between supervised and unsupervised learning, and where each is used.
1 lesson, about 12 hours
Twelve hours for people starting from nothing: the vocabulary, the mathematics that cannot be skipped, machine learning and deep learning, and worked examples throughout.
1 lesson, about 5 hours
Five hours covering artificial intelligence end to end: what it is, how machine learning and deep learning sit inside it, the algorithms in common use, and where the field is applied.
1 lesson, about 11 hours
Eleven hours covering cloud fundamentals and the work that follows them: architecture, the main providers, deployment and the operational side of running services in the cloud.
1 lesson, about 6 hours
Six hours on Microsoft Azure for people new to it: the portal, virtual machines, storage, networking and identity, worked through with practical examples.
1 lesson, about 10 hours
Eleven hours on cloud computing from first principles: what the cloud is, how the service models differ, and the tooling a practitioner meets first. Taught in Hindi.
8 lessons, about 2 hours
Eight classes taking Python from variables and loops to the libraries used in security work — Scapy, Nmap — and finishing with a Python assistant built from scratch. Taught in Hindi.
