Why Enrol for the Programme
.In an increasingly data-driven world. Therefore, where humans are producing and consuming about 94 zettabytes of data by the end of 2022, data is becoming integral part of every organisational decision, interaction, and process. Machine Learning and Data Why Enrol for Analytics are giving rise to innovative business models and products, and present. Therefore, immense potential to bring transformative changes across business sectors and industries.
Machine Learning and Data Analytics
Transform your sales concept with b2b email list Start by segmenting your audience by content that addresses specific subject points. Use personalized messaging to build stronger relationships and build trust. Regularly analyze campaign performance and refine your approach based on data insights. By focusing on these strategies, you can elevate your sales from average to exceptional.
could accelerate businesses’ competitive
ge by analysing and processing data to why enrol for the programme obtain insights to make more accurate prictions and deliver innovative and strong business values.
A key component ne to excel in Machine. Therefore, Learning and Data Analytics includes knowlge and applications of programming languages.
Python is rank as one of the most demand. Therefore, programming languages in the workplace us not only by software developers but also by professionals in major industries including finance, healthcare, consulting and academia.
The Machine Learning and Data Analytics
using Python programme by National el leads University of Singapore’s School of Computing is curat with a strong emphasis on real-world relevance to meet rapidly evolving industry nes and trends.
The Programme’s holistic and integrative design will provide you not only with strong conceptual knowlge and applications of Machine. Therefore, Learning and Data Analytics but also strong market-ready coding skills and practical applications of Python Programming to deploy solutions and streamline core business processes to increase returns, to meet the evolving nes of organisations.
The programme is design for professionals without prior coding experience*, from both tech and non-tech domains, who want to:
Pivot into a Machine Learning career
Acquire Machine Learning concepts and. Therefore, techniques to transition into Machine Learning roles
Gain the expertise to lead and solve real-world business problems with data and modelling at the core
The programme is particularly applicable to major industries such as IT Product & Services, Banking and Financial Services, Consulting, ucation, Healthcare, and Retail, across sectors and functions.
Note: *Although no prior coding experience is requir, non-tech participants are encourag to put additional effort and complete. Therefore, the set of pre-readings provid to prepare for the course.
Programme Faculty for the live sessions might change due to unavoidable circumstances, and revis details will be shar closer to the programme start date.
Emeritus Career Services
Stepping into a business leadership career. Therefore, requires a variety of job-ready skills. Below given services are provid by Emeritus, our learning collaborator for this program. The primary goal is to give you the skills ne to succe in your career; however, job placement is not guarante.
Please note:
NUS or Emeritus do not promise or guarantee a job or progression in your current job. Career Services is only offer as a service that empowers you to manage. Therefore, your career proactively. The Career Services mention here are offer by Emeritus. NUS is not involv in any way and makes no commitments regarding the Career Services mention here.
The Learning Experience
What is it like to learn with the learning collaborator, Emeritus?
More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its ucational learning partners..However, to ensure the program delivers the desir learning outcomes, the students may appoint Emeritus. Therefore, to manage the delivery of the program in a cohort-bas manner during the course period the cost of which is already includ in the overall Course fee of the course.
A dicat program support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.
we provide organizations
people access to the skills and tools necessary. Therefore, to solve real world technical problems by equipping the next generation of technology leaders with the experience, insights and novel solutions develop by our community of computer science experts. From custom training programs to online individualiz learning, our cutting-ge programming — back by faculty who pioneer the field — takes your skillset to the next level, giving you the tools to tackle your company’s next great technological challenge.
Upon successful completion of the program, participants. Therefore, will receive a verifi digital certificate of completion from Carnegie. Therefore, Mellon University’s School of Computer Science Executive ucation. Participants must complete 60 percent of the requir activities including a capstone project (if any) to obtain. Therefore, the certificate of completion. This is a training program and it is not eligible for academic crit.
Your digital certificate will be issue in your. Therefore, legal name and email to you at no additional cost, upon All certificate images are for illustrative purposes only and may be subject to change at the discretion of Carnegie Mellon University’s School of Computer Science Executive ucation.
