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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- Access 115 lectures & 19 hours of content 24/7
- Learn data cleaning, processing, wrangling, & manipulation
- Create a resumé & land your first job as a data scientist
- Use Python for Data Science
- Write complex Python programs for practical industry scenarios
- Learn Plotting in Python (graphs, charts, plots, histograms, & more)
“I think the course is very well explained, the presenter does a good emphasis on important points. And having as an introduction to the course how someone needs to approach a job interview is a fantastic idea, as it makes your brain more focused and aimed-oriented. Good job.” – Alvaro Paz Navas
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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- Access 480 lectures & 55 hours of content 24/7
- Master programming in Pytho
- Dive into the mechanics of Python’s data structures including strings, lists, dictionaries, tuples, & sets
- Apply your knowledge to solve common interview questions, algorithms & coding challenges
- Explore a dynamic curriculum with videos, quizzes, written assignments, in-browser coding challenges & more
- Progress from core language fundamentals to advanced features
- Build complete projects including card games, web scraping tools, & more
“The most comprehensive and personalized learning experience in a programming course. Highly recommend to anyone interested, regardless of experience.” – Danny N.
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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- Access 109 lectures & 12 hours of content 24/7
- Work with the Linux files & folders
- Navigate the Linux File System efficiently
- Learn Linux Command Line from basics
- Learn various text processing commands to work efficiently
- Create your own AWS Linux EC2 instance to practice
“This course was well worth the money I spent on it. The topics were clear, well demonstrated, and easy to understand… As I learn Python and start doing more with open source, trying my hand at installing Linux applications won’t be so daunting.” – Rob Watts
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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- Access 492 lectures & 84 hours of content 24/7
- Understand the most popular languages & frameworks available
- Learn HTML5 & CSS3 to build and style web pages
- Use Javascript, jQuery & jQuery User Interface to make interactive sites
- Make responsive sites for any device with Twitter Bootstrap
- Study data-driven programming with PHP, Ajax & MySQL
- Build mobile apps for iOS & Android
- Deploy your apps to the Apple App & Google Play store
- Walk through building 15 real-life app projects
“Will take you from the beginner level to the expert level! I chose this course due to the projects that can give me more experience. The teacher is very knowledgeable and very easy to follow and understand!” – Tahir Ibrahim
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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- Access 36 lectures & 4 hours of content 24/7
- Learn statistical modelling in R with real world examples & datasets
- Develop & execute hypothesis 1-tailed & 2-tailed tests in R
- Test differences, durability, & data limitations
- Custom data visualizations using R with limitations & interpretation
- Understand statistical data distributions & their functions in R
- Interpret different output values & make conclusions
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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- Access 41 lectures & 10 hours of content 24/7
- Learn to build your own websites
- Code in CSS, JavaScript, & HTML
- Learn practical, employable skills
- Build 20 fantastic websites to use in your portfolio
- Jump start your programming career
“Overall, the course was good for practicing building websites using HTML and CSS. The practice pages done in this tutorial looked very nice and smooth. If you already have some knowledge of the material but not much experience building good-looking websites, then this is for you.” – Riki Stealth
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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- Access 61 lectures & 5 hours of content 24/7
- Get a full introduction to Python Data Science
- Get started with Jupyter notebooks for implementing data science techniques in Python
- Learn about Tensorflow & Keras installation
- Understand the workings of Pandas & Numpy
- Cover the basics of the Tensorflow syntax & graphing environment and Keras syntax
- Discover how to create artificial neural networks & deep learning structures w/ Tensorflow & Keras
“The course deserves to be rated on a very high note as it contains valuable and useful information. The instructor has in-depth knowledge of the subject.” – SR Reddi
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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- Access 116 lectures & 17 hours of content 24/7
- Learn the language of Mathematics & Mathematical symbols
- Construct, read & prove Mathematical statements using a variety of methods
- Understand the fundamental topics in Logic, how to construct truth tables, & tell the falsehood or truthfulness of compound statements
- Understand Boolean Expressions, black boxes, logical gates, digital circuits & many related topics
- Master fundamentals of Set Theory, equivalence relations & equivalence classes
- Learn the fundamental theorem of arithmetic
- Find incidence & adjacency matrices, and identify walks trails, paths, and circuits
- Learn essential concepts in Statistics & Combinatorics
“He took topics that appeared to be complex and simplified them with the use of great analogies and tossing the jargon out the window.” – Oneika Valere
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!
- Access 36 lectures & 6 hours of content 24/7
- Learn necessary concepts in stats & probability
- Understand important concepts in the subject necessary for Data Science and/or ML
- Know distributions & their importance
- Understand entropy, the foundation of all machine learning
“I didn’t know math could be this fun! Enjoyed the contents of this course a lot. Quick and to the point. Code parts are really what make this course stand out. I’ve always liked the courses by this instructor, and this was another good one.” – Cynthia Williams
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