Data is the new oil and learning how to collect, manipulate, ascertain decisions and solutions to your problems is a skill highly sought after in this new data driven world. Every day, organizations generate a multitude of new data on customers, products, processes, and the industry as a whole. To tackle this data and to make something useful out of it, we have data analytics and data science. You can see data analytics, or business analytics, as a super-set of data science, business analytics provides the data for the data scientists. A huge part of data science is machine learning, which is also a subset of artificial intelligence. Machine learning refers to the ability of a "machine" to learn and to make data-driven decisions on its own and to analyze data. Jobs requiring machine learning skills are paying an average of MYR 27,000 a month for Southeast Asia. The explosion in digital data, bandwidth and processing power, combined with new tools for analyzing data has sparked massive interest in the emerging fields of data science. Organisation of all sizes are turning to people who can translate this trove of data created by mobile sensors, social media, surveillance, medical imaging, smart grid and the like into predictive insights that lead to business value. Despite the growing opportunity, demand for data scientist that have machine learning skill has outpaced supply of talent. So, this course will help you to skills up and get yourself familiar into data science world. This course is for anyone that is interested in a career as a data scientist or who is just interested in knowing more about machine learning. This course has been designed to help you learn complex theory, algorithms and coding libraries in a straightforward way. Attendees should have a basic understanding of Python and mathematics. You must bring a laptop installed with Anaconda, Jupyter notebook and Anaconda.