As automation becomes more common, so do the challenges inherent in new technology. The 2022 Complete Learn Coding & Automation Bundle gives you hands-on practice with machine learning, data management, and automation to apply in your daily work. All eight courses in this bundle are taught by working experts in the field, including automation and algorithm expert Frank Kane, experienced technology trainer Joseph Delgadillo, and professor Nouman Azam. All of them work with automation and draw on that personal experience as they design their courses. Each course is also built to be self-paced and to be tapped into for both training and to review as needed.

In this popular beginner-level Specialization, you'll develop management, leadership, finance, and digital marketing skills that can translate to the successful operation of a business. Learn the basics of running a business and develop new strategies for improving an organization's growth and profitability by analyzing financial statements, creating forecasting and budgeting, and embracing digital marketing best practices.

This course introduces machine learning covering the three main techniques used in industry: regression, classification, and clustering. It is designed to be self-contained, easy to approach, and fast to assimilate. The course is designed to maximize the learning experience for everyone and includes 50% theory and 50% hands-on practice. It includes labs with hands-on exercises and solutions. You can run the code on Google CoLab and get started right away.

This course is a suitable beginner guide on supervised learning concepts and hands-on practices. It covers basic supervised learning algorithms with hands-on practices via Google colabs and python. This course is recommended for any learner who wishes to pursue a sound understanding of several of popular supervised learning algorithms. This course will be useful for students in pathways such as Information Technology, Software Engineering and Computer Science in both undergraduate and postgraduate levels.