KEY FEATURES

Excel is a phenomenal data-crunching tool, but even this ubiquitous program has its limitations. In this course, you’ll learn how to optimize MATLAB to overcome the shortcomings Excel often burdens tech professionals with. You’ll focus on how to supplement the capabilities of Excel by having access to thousands of customized mathematical and advanced analysis functions, flexible visualization tools, and the ability to automate your analysis workflows—all available in MATLAB.

• Access 25 lectures & 2 hours of content 24/7
• Access & import data from Excel files
• Learn how to import, preprocess, analyze, visualize & generate data analysis reports
• Customize the visualization of data
• Learn statistical models that fit w/ data
• Generate reports for sharing w/ others

PRODUCT SPECS

Important Details

• Length of time users can access this course: lifetime
• Access options: desktop and mobile
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: beginner

Requirements

• Internet required
• Students must install MATLAB on their computers

THE EXPERT

Instructor

Nouman Azam received his Ph.D. Degree in Computer Sceince from the University of Regina in 2014. Prior to that, he completed his M.Sc. in Computer Software Engineering from the National University of Sciences and Technology, Pakistan and earned his Bachelors in Computer Sciences from the National University of Computer and Emerging Sciences, Pakistan in 2007 and 2005 respectively

He is the creator of six online MATLAB courses. He has extensive knowledge of tools, such as MATLAB, QTSpim, C++, Java, LaTeX and other academic resources used for teaching and instructing purposes. Overall, he has over 10 years of teaching and relevant experience at undergraduate and graduate level.

KEY FEATURES

As the name suggests, classification algorithms are what allow computers to well…classify new observations, like how your inbox decides which incoming emails are spam or how Siri recognizes your voice. This course will show you how to implement classification algorithms using MATLAB, one of the most powerful tools inside a data scientist’s toolbox. Following along step-by-step, you’ll start with the MATLAB basics then move on to working with key classification algorithms, like K-Nearest Neighbor, Discriminant Analysis, and more as you come to grips with this machine learning essential.

• Access 50 lectures & 6.5 hours of content 24/7
• Explore the MATLAB basics & the Statistic and Machine Learning toolbox
• Familiarize yourself w/ key classification algorithms, like K-Nearest Neighbor & Decision Trees
• Learn how to confidently implement machine learning algorithms using MATLAB
• Understand how to perform a meaningful analysis of your data & share it w/ others

PRODUCT SPECS

Important Details

• Length of time users can access this course: lifetime
• Access options: desktop and mobile
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: beginner

Requirements

• Internet required

THE EXPERT

Instructor

Nouman Azam received his Ph.D. Degree in Computer Sceince from the University of Regina in 2014. Prior to that, he completed his M.Sc. in Computer Software Engineering from the National University of Sciences and Technology, Pakistan and earned his Bachelors in Computer Sciences from the National University of Computer and Emerging Sciences, Pakistan in 2007 and 2005 respectively

He is the creator of six online MATLAB courses. He has extensive knowledge of tools, such as MATLAB, QTSpim, C++, Java, LaTeX and other academic resources used for teaching and instructing purposes. Overall, he has over 10 years of teaching and relevant experience at undergraduate and graduate level.

KEY FEATURES

Practical and hands-on, this beginner-friendly course covers clustering and classification algorithms, two machine learning essentials that help computers organize the data they receive. Whether it’s Siri recognizing your voice or a marketing program identifying the best customers, these algorithms pave the way for many of today’s AI breakthroughs, and you’ll come to implement them both with MATLAB.

• Access 57 lectures & 9.5 hours of content 24/7
• Learn how to implement classification & clustering algorithms using MATLAB
• Get a beginner-friendly introduction to coding w/ MATLAB
• Develop real skills by learning from a malware analysis project

PRODUCT SPECS

Important Details

• Length of time users can access this course: lifetime
• Access options: desktop and mobile
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: beginner

Requirements

• Internet required
• MATLAB 2017a or later
• No prior knowledge of MATLAB is required

THE EXPERT

Instructor

Nouman Azam received his Ph.D. Degree in Computer Sceince from the University of Regina in 2014. Prior to that, he completed his M.Sc. in Computer Software Engineering from the National University of Sciences and Technology, Pakistan and earned his Bachelors in Computer Sciences from the National University of Computer and Emerging Sciences, Pakistan in 2007 and 2005 respectively

He is the creator of six online MATLAB courses. He has extensive knowledge of tools, such as MATLAB, QTSpim, C++, Java, LaTeX and other academic resources used for teaching and instructing purposes. Overall, he has over 10 years of teaching and relevant experience at undergraduate and graduate level.

KEY FEATURES

From cars to aircraft and even interplanetary rockets, control systems are everywhere; and they’re what allow complicated machines to do precisely what we need them to with astounding precision. Using Simulink and MATLAB, this course will show you how to simulate a Tesla Model S P85 and design your very own cruise control system—an impressive feat for students, hobbyists, and engineers looking to sharpen their skills.

• Access 11 lectures & 2.5 hours of training 24/7
• Learn how to design your own cruise control system for a Tesla Model S
• Understand & harness the physics behind any electric car
• Use Simulink to establish the mathematical model of an electric DC motor
• Implement an engineering model in Simulink using blocks, transfer functions & MATLAB functions

PRODUCT SPECS

Important Details

• Length of time users can access this course: lifetime
• Access options: desktop and mobile
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: beginner

Requirements

• Internet required
• Basic understanding of physics (force, velocity, acceleration, etc)
• High school diploma for mathematics (differentiations etc)

THE EXPERT

Instructor

Eliott Wertheimer has always been impressed and passionate about flying machines and the ultimate frontier that space represents. This led him to graduate with a Masters in Aerospace Engineering as one of the top students at a leading UK university. Throughout this degree he was offered the opportunity to understand and apply advanced engineering concepts to different design projects.

In his final year, he consequently designed a proof of concept nuclear battery or Radioisotope Thermoelectric Generator (refer to his courses to learn more about these) for nanosatellites which was judged by academics as one of the best projects of his department and presented at the 4th Interplanetary Cubesat Workshop. Similarly, he developed, with a team of colleagues, an unmanned rotorcraft able to fight fires, carry cargo and surveil missions, which eventually won a design competition for Agusta Westland.

He is very excited to be able to share his knowledge with curious individuals, who, like him, want to know more about the engineering behind the wonderful machines that populate the sky.

KEY FEATURES

Simulink is an add-on product to MATLAB that allows users to rapidly create virtual prototypes and models—handy for testing out new ideas and concepts on the fly when you’re designing a product. This course covers the basics of Simulink and will show you how to create models and run simulations of physical systems with real, project-based approaches. Follow along as you build 10 Simulink projects with the instructor, and you’ll have complete access to all of the Simulink models and slides to reference whenever you need.

• Access 40 lectures & 4.5 hours of content 24/7
• Walk through the Simulink basics & get real, project-based training
• Follow along & create 10 Simulink projects, like a battery model & PID controller
• Enjoy complete access to all of the course’s Simulink models & slides

PRODUCT SPECS

Important Details

• Length of time users can access this course: lifetime
• Access options: desktop and mobile
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: beginner

Requirements

• Internet required

THE EXPERT

Instructor

Ryan Ahmed is a best-selling online instructor who is passionate about education and technology. Ryan’s mission is to make quality education accessible and affordable to everyone. Ryan holds a Ph.D. degree in Engineering from McMaster* University, with focus on Mechatronics and Electric Vehicle (EV) control. He also received a Master’s of Applied Science degree from McMaster, with focus on Artificial Intelligence (AI) and an MBA in Finance from the DeGroote School of Business.

Ryan held several engineering positions at Fortune 100 companies globally. Most recently, he worked as a Systems Engineering Lead at Samsung America and as a Senior Scientific Research and Experimental Development Technical Specialist at Fiat-Chrysler Automobiles (FCA) Canada. Ryan has taught several courses on Engineering, Science, Technology and Mathematics to over 10,000+ students globally. He is the recipient of the best paper award at the IEEE Transportation Electrification Conference and Expo (iTEC 2012) in Detroit, MI, USA.

Ryan is a Stanford Certified Project Manager (SCPM), certified Professional Engineer (P.Eng.) in Ontario, a member of the Society of Automotive Engineers (SAE), and a member of the Institute of Electrical and Electronics Engineers (IEEE). He is also the program Co-Chair at the 2017 IEEE Transportation and Electrification Conference (iTEC’17) in Chicago, IL, USA.