By Juan Galvan | in Online Courses
In this practical, hands-on course, you’ll learn how to program using Python for Data Science and Machine Learning. This includes data analysis, visualization, and how to use that data practically. The main objective is to educate you to understand the Python programming language's ins and outs for Data Science and Machine Learning and learn exactly how to become a professional Data Scientist with Python and land your first job.
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Your First Program
By Boris Paskhaver | in Online Courses
This course is a comprehensive introduction to Python programming, the most popular programming language in the world. Python powers codebases in companies like Google, Facebook, Pinterest, Dropbox, and more. It is used in various disciplines, including data science, machine learning, web development, natural language processing, and more. This course tackles A to Z's language, covering everything you need to know about Python to be an effective developer in 2021.
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By CodingGears | in Online Courses
The course teaches you the Linux Command Line fundamentals and takes you on a journey with a good learning experience. This course has also included few videos that guide you to set up your own Linux VM and also a Linux EC2 instance in the AWS cloud!
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By Issam Baou | in Online Courses
No coding experience? This is the course for you. Whether you've dabbled in HTML or never touched a single line of code in your life, this course will prepare you to take on professional programming jobs, big and small. From basic CSS styling to popular frameworks like Bootstrap, this training will stack your resume with skills that will check every box on your dream job description. With guidance on completing 15 different real-life app projects, this course will prepare you to enter the job market with real portfolio pieces that are sure to impress.
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By Jazeb Akram | in Online Courses
Before applying any data science model, it's always a good practice to understand the true nature of your data. In this course, you will learn the fundamentals and applications of statistical modeling. You will use R Programming Language to run this analysis. This course starts with Math, Data Distribution, and statistical concepts; then, you will interpret data by using plots and charts. You will use statistical modeling to prove your claims and use hypothesis testing to make inferences confidently.
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By Mammoth Interactive | in Online Courses
Learn how to build websites for your business or your portfolio. This is the best course to learn how to build websites with HTML, CSS, and JavaScript. In this course, you learn by doing. Build your own fantastic websites today. One of the best features is that you can watch the courses at any speed you want. This means you can speed up or slow down the video if you want to. This course is project-based, so you will not be learning a bunch of useless coding practices.
Learning how to code is a great way to jump into a new career or enhance your current career. Coding is the new math, and learning how to code will propel you forward for any situation. Learn it today and get a head start for tomorrow. People who can master technology will rule the future.
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By Minerva Singh | in Online Courses
This course is your complete guide to the practical machine and deep learning using the Tensorflow and Keras frameworks in Python. In the age of Big Data, companies worldwide use Python to sift through the avalanche of information at their disposal. The advent of Tensorflow and Keras is revolutionizing deep learning. This course will help you break into this booming field.
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By Miran Fattah | in Online Courses
Discrete Mathematics is the backbone of Mathematics and Computer Science. It's the study of discrete topics rather than continuous; for that, the course is a MUST for any Math or SC student. This course covers the essential topics that will touch every Math and Science student at some point in their education. Discrete Mathematics gives students the ability to understand the Math language. The course is divided into 8 sections: Sets, Logic, Number Theory, Proofs, Functions, Relations, Graph Theory, Statistics, and Combinatorics. You might think that this is another "non-applicable, complex math"; it's the actual opposite. You'll learn from this course essential in the real world and is very important in the Computer Science field.
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By Mohammad Nauman | in Online Courses
Everyone wants to excel at machine learning and data science these days -- and for a good reason. Data is the new oil, and everyone should be able to work with it. However, it's challenging to become great in the field because the latest and greatest models seem too complicated. This course takes a code-oriented approach to give you the strong foundations needed to excel in all areas of computer science -- specifically data science and machine learning. It focuses on the more useful concepts for data science, machine learning, and other areas of computer science.
New course!
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