Note:
1. Full Time: Classes will be held from 8.30am to 5.30pm
Program Background
R is a fascinating programming language and is now used in a range of professions including software development, business analysis, statistical reporting and scientific research. It’s more likely than ever that you’ll encounter R in your organization and even more likely to use it yourself. So why not add it to your resume? Enroll in our course on R Programming and learn the language that has grown significantly in popularity. Analysis of jobs posted on indeed.com show R and Python as two of the most popular language for data science and machine learning(Source: kdnuggets.com).
Analytics is an essential skill needed to run your business successfully. Common applications of analytics include the study of business data using mathematical & statistical analysis to discover and understand patterns which will help predict & improve business performance in the future. Analytics is an integral part of most businesses, and most successful entrepreneurs and business managers have generally been analysts in their own right, even if the analysis they have been doing has largely been intuitive.
It was projected, sometime during 2013, that 90% of the world’s data had been created during the preceding two years going back from that date. As the volume of data grew exponentially, the demand for statisticians, data scientists and professionals capable of organizing, dissecting, summarizing and analyzing the data also grew by leaps and bounds . The domains of Big Data and Predictive Analytics became one of the most important disruptive technologies increasingly used by organizations for accurate projections, forecasts and innovative insights into probable future scenarios. This, in turn, blended well with the other important disruptive technology, A.I., which needed to look at and make sense of huge volumes of data as part of its ongoing and progressive learning processes.
Why ‘R’
The programming language ‘ R’ is one of the two most important languages used by data scientists, statisticians as well as Predictive Analytics and Big Data Analytics practitioners. It is also important for those working in the domain of machine learning and cognitive computing.
What are the prerequisites for those interested in doing the course
Nice-to- have: Knowledge of at least one programming language.
The key takeaways of this program are:

1. Train to work as a data scientist and as a member of the Analytics team in organizations, after successful completion.
2. Able to write customized routines and programs to take care of in-house requirements of organisations in the domains of Big Data and Predictive Analytics.
3. Be considered as the member responsible for data preparation, analytics in the machine learning and deep learning implementation team in an organization.

Faculty – Dr. S Das
Dr Das graduated in Electrical Engineering and has subsequently done his Ph.D. in the same discipline, after doing his post-graduation in Control Systems. He has several years of industry experience and is currently an Asst. Professor in the Department of Data Science for a private University, where, among various subjects, he has also been involved in teaching ‘R’. He has a number of published papers in the domains mentioned to his credit and is a visiting scientist at the Indian Statistical Institute (ISI), involved in the areas of Statistical Quality Control & Operations Research. His research interests include Data Analytics, Stochastic Systems and Real-time Systems.
The ‘R’ Program – Detailed Course Outline

For more information on the course, email us at [email protected] or
call us at +65 6323 4084

Program Background
Artificial Intelligence and Machine Learning, the technologies that drive automated reasoning, learning, decision making and perception have already pervaded our lives both in our homes and our workplaces. Artificial Intelligence and Machine Learning are used in our phones, our cars, even some of our home devices, to learn and anticipate our needs. They are also used for a wide variety of web services such as e-mail filtering, data querying and map navigation that we use every day. Soon AI will operate our driverless cars, manage the comfort and security of our homes and facilitate our communications with the global information network.
Artificial Intelligence and Machine Learning are also ubiquitous in the workplace. They power robots that can learn to operate on factory floors or predict which machines need maintenance. They power software tools can match digital ads to users or plan whole marketing campaigns. They can match resumes to jobs, and predict sales and profits. They help doctors make diagnoses, or lawyers prepare for cases. They are already making a big difference in many different domains, including, but not limited to, publishing, manufacturing, retail, hospitality, healthcare, sports management and a host of other services.
Knowledge of AI and Machine Learning, their current capabilities and limitations, and also their future potential is essential for every business that wants thrive and grow in this new millennium.
Program Overview
This program is for executives and professionals who want to learn about the capabilities of Artificial Intelligence, Machine Learning and Deep Learning that are coming to pervade the world and workplace and are finding acceptance in almost all industries and sectors to solve many practical problems of cost management, sales growth and technological innovation.
The program covers concepts, ideas and applications from leading companies and several use cases from the domain of interest to illustrate how these technologies can solve problems and create competitive advantage..
Key Takeaways for Participants
1. An introduction to and overview of the basic techniques, and available software tools of Artificial Intelligence, Machine Learning, Deep Learning and Robotics.
2. Knowledge of the capabilities of AI and Learning for improving business performance, and some examples of their application to solve practical problems of production, logistics, marketing, management and finance in various industries and sectors.
3. More detailed knowledge of the process of formulation and deployment of AI and Machine Learning in the participant’s domain of interest, applying a use-case approach
4. A final quiz and a a capstone project designed to integrate the learning from the three- day program
Detailed Course Outline:

For more information on the course, email us at [email protected]
or
call us at +65 6323 4084

Approved for Skills Future Funding. To apply, please visit www.skillsfuture.sg
Program Overview
This program is targeted at executives and professionals in the areas of Marketing, Business Development, Customer Support, HR & Corporate Communications as well as Owners and COOs of startups, small and medium businesses.
It is designed to equip participants with a good understanding of the key concepts of Digital Business, Social Media strategies and SM Analytics as well as disruptive technologies like Augmented & Virtual Reality and their applicabilities in digital business and e-commerce.
Key Takeaways for Participants

Gaining a good understanding of the fundamentals of digital business and e-commerce, their applicabilities and their points of difference with conventional business concepts.
Understanding how best to deploy social media strategies and leverage social media analytics for achievement of organizational and departmental goals.
Understanding the basics of disruptive technologies like Augmented & Virtual Reality and
their applicabilities in the domain of digital business and e-commerce.

For more information on the course, email us at [email protected]
or
call us at +65 6323 4084