Data science is an integrative field dealing with procedures and processes used to obtain understanding or ideas from big quantities of information. The data collected can possibly be structured or unstructured data. It is a natural extension of areas of information analysis such as information mining, statistics, analysis of predictions. An immense sector, data science uses many hypotheses and strategies that are a portion of many other sectors such as informatics, math, statistics, chemometrics, and computer science.
Data science has advanced a very huge way over the past couple of years. Which is why they are essential to understanding the work of many sectors, though complex and complicated. Data science will continue to be an essential component of the worldwide economy and culture as it enables companies to comprehend their clients in a much improved and empowered way, enabling brands to transmit their stories in such an appealing and strong way. If you are looking for the skills and knowledge to be able to propel your business or company in the industry, you can learn data science in Singapore from these 18 institutions.
Note: This list is strictly not in order.
1. Bridging Minds
As Singapore moves towards the vision of a Smart Nation, you will realise that you are filled with a lot of information and not all of them are helpful data. It is therefore vital for us to know how to apply data science from personal finances, lifestyle, reading, to company choices to each and every part of our everyday lives. Using this information to create our lives simpler, or unlocking fresh company value.
The course they offer is to assist you in being a certified data science specialist and during the course, is a hands-on supervised course that will help you understand the ideas, instruments and methods you need to start studying data science and handling big data. The course will cover main subjects ranging from data science to big data, and information collection, cleaning and processing procedures. It is well balanced in both theory and practice, and references to research studies are used to teach important ideas. Upon finishing, respondents will be able to conduct, retrieve, evaluate and present the fundamental data processing duties using industry-standard instruments.
2. SG Code Campus
With the world developing at an exponential rate, certain skills involving coding and data science are increasing in demand. However, not many people know about these skills, it’s value in the real world as well as where they can learn it. Hence, SG Code Campus was born. They now boast one of the largest and most qualified range of instructors in their coding school. This is one key reason why they have many recurring students who place their trust in them and their ability to break down tough concepts into bite-sized information.
Apart from their highly-qualified educators, SG Code Campus also offers a range of classes for individuals of all levels. One advantage of taking up their courses is that you are able to get it subsidised through your SkillsFuture Singapore Grant (SSG). The subsidies go up to 90% of the courses fully covered. Therefore, there are little to no barriers holding you back from improving yourself at SG Code Campus!
3. Hackwagon Academy
Data Science has converted business strategies across the years so that businesses understand how to better engage consumers, make recruiting choices, and expect process failure. Contemporary enterprises leverage their data’s power to drive innovation and make strong choices. Not only to make decisions but informed choices that are driven by data. From beginners to sophisticated coders, break into data science with the data science track that they offer which caters to everyone.The offer three data science tracks which are Data Science 101, Data Science 102 and Data Science 103.
Their course Data Science 101 was established to direct novices with zero programming understanding. Finishing this course should enable learners to qualify for the Data Science 102 course, where learners will study sophisticated data analytics tools and develop their own information project. Eventually, they will move on to Data Science 103 which is their master class in which learners discover how to construct a complete information chain that incorporates concepts of machine learning. Hackwagon Academy is outstanding in introducing learners to experts from novices. Anticipate the capacity to conduct profound and knowledgeable analysis to graduate.
4. Temasek Polytechnic
Data mining and analytics stay the main Singapore strategy and the demand for manpower in the industry is high. The ‘Big Data & Analytics Specialist Diploma’ that Temasek Polytechnic offers is a one-year learn and earn program focused mainly on diploma graduates that would like to strengthen their data science and analytics abilities. The program is designed to offer you a jump start in your career, enabling you to secure full-time jobs with industry experts, touching on comprehensive on-the-job and institution-based coaching to enhance your abilities and expertise in this field.
Because of the high demand for qualified staff in the field of big data and analytics, appealing wages can be expected when the program is completed. In addition, as this region continues to evolve, you will have plenty of possibilities to further upgrade and strengthen your career abilities. Once you have finished this course, you can look exapct an expansion of your role in the workplace.
5. James Cook University
Most companies around the globe are now using IT to help their key business processes. For big corporations, this is as true as it is for tiny and medium-sized businesses. Companies must also use a variety of digital techniques in product marketing and in an effective and budget-effective manner remaining in contact with customers and staff. Expertise and integration of these systems into the general business strategy together with the use of the information they produce are crucial.
At James Cook, they offer a degree in ‘Business Intelligence & Information Systems’ where you will learn data science. This major offers the chance for learners to acquire these abilities as part of their overall studies. With this degree, you will be fitted with abilities that fulfil company requirements including developing communication and commitment abilities, construction networks, embracing a company mindset, comprehend project management, and refining analytical thinking and problem-solving.
6. Lithan Academy
With Lithan Academy, you can enrol for their professional diploma in data science. If you are taking it full-time, it would take 6 months to complete whereas for part-time, it would be 9 months. Through the course, you will learn all about R programming which is very efficient when it comes to data collation and analysis, statistical modelling and Azure Machine Learning to analyze, forecast and visualise organised and unorganised data using data analytics tools such as Spark HDInsights, Azure Machine Learning Studio, R-studio machine learning models, to prepare yourself for a position in the data science field.
They type of learning they provide is mentor-led; they offer integrated teaching through a mixture of autonomous e-learning, trainer-led flipped courses and expert in the field coaching to significantly enhance your productivity and efficiency. At the end of the course, you will receive the appropriate certifications in accordance with the tools you have mastered.
7. Singapore Polytechnic
In business and government, data is omnipresent, along with insurance, banking, telecommunications, healthcare, retail and manufacturing. The course they offer graduates is with regards to basic statistical and data mining abilities needed by employment in these sectors that involve working with data and obtaining business-useful information. The aim of the Data Science Specialist Diploma (Data Analytics) is to provide instruction in the basics of data science analytics and programming and to provide guidance on specialized abilities in the fields of data extraction and statistical techniques applied.
The course graduate students will be able to summarize and convey information, conduct an analysis of the data, prepare information, establish and implement predictive models, and use cognitive models to discover information patterns. This course is appropriate for working professionals operating in industries requiring data science knowledge. Since the course includes a combination of theory and implementation, it is pertinent for you to have a strong mathematical basis.
8. Nanyang Polytechnic
Governments and businesses concentrate on Business Analytics and Big Data Analytics, motivated from the need to better communicate with people and clients and the rise of Big Data, to draw ideas from people and clients, create fact-based choices and attain sustainable benefits. Comprehensive supply for big data analysis gives the economy of Singapore important possibilities. Singapore requires to create a fresh breed of techno-strategic experts – those with both domain expertise and IT skills to identify and solve complicated business issues.
Nanyang Polytechnic offers a specialist diploma in business and big data analytics which is a collaborated offer from their school of information technology and engineering. This specialised diploma is directed at Business Intelligence (BI) practitioners and IT experts wishing to refurbish their analytical abilities from easy BI reporting to more sophisticated data analysis methods, discover how algorithms are implemented across sectors and company sectors and acquire abilities in applying big data supporting infrastructure.
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9. Amity Global Institute
They are working in partnership with Stirling University to give Stirling classes to Singapore-based learners. Amity Global Institute offers a Masters in data science for business. It identifies the recognized shortage of company leaders and executives with thorough information analytics expertise. It offers learners with a profound knowledge of sophisticated analytics ‘ scientific and industrial significance and implementation in operational and strategic decision-making. In doing so, graduates are developed with an extremely desired-after mix of information analytics, company acuity and sophisticated leadership abilities.
The course is provided through presentations, seminars, workshops, contests for independent and business research. This will be backed by the setting of learning that fosters discussion, Modules that promote learners to evaluate theory and practice analytically in order to create fresh ideas and methods for the future. And lastly, projects offering useful theory implementation to promote learning and enhance employment prospects.
Learning Data Science in Singapore through courses helps companies manage their data to discover fresh possibilities for improvement. The graduate or student will be able to define and fix any problems effectively through the use of data science toolkits and analytics. The graduate will also be confident in making the right adjustments in the company through data analysis and interpretation, resulting in greater revenues and more satisfied customers.
The Big Data Analytics classes will assist students to learn techniques and instruments when making company choices to collect big quantities of data. The student will be able to enhance the decision-making process, reduce the potential or current costs and provide service enhancement by using these methods. This course demonstrates how information instruments such as Hive can be used to structure, process and maximize the brand’s information. The course would also demonstrate how and when to use HUE, Hadoop’s user interface, when analyzing information to influence HiveQL.
11. UpCode Academy
The course provided by UpCode Academy, Data Science Introduction acts as a starting point for learners who want to relocate on to Data Science I (Python) and gives particular attention to specialized Python databases for methods for data recovery and visualisation. This unique edition of the course will bring data science to learners and intensify their knowledge of Python through Singapore’s real-life databases and issues.
Students can also look forward to getting materials from the course that will serve as a helpful guide for revision and exercise after the course. You will discover how and when to conduct the different components of the phases of data science, organizing information, choosing the suitable model of machine learning, drawing conclusions, and much more. Key data libraries or toolkits such as Numpy, Pandas and Matplotlib will be trained as part of the program. These libraries are respectively accountable for data loading, mathematical calculations and data visualisation.
12. Republic Polytechnic
Uncover the evolving industry of data science and analytics and discover how to enhance your company activities by gaining a broader understanding of information. You will learn the basics of data extraction and analysis in this two-day workshop on how to draw helpful ideas and improve your decision-making skills. You will also be able to implement a variety of statistical methods that allow algorithms to enhance experienced duties and conduct predictive analytics.
For the course, their trainer will share the Python setup documents along with the required source code editor. There will also be additional libraries or toolkits that are to be installed during the workshop. This course is intended for individuals who have a fundamental knowledge of Python and people who wish to use information to obtain deeper ideas. After finishing the course and meeting their requirements, individuals will be given a Certificate of Attendance by Republic Polytechnic.
Singapore University of Social Sciences (SUSS) is one of six domestic universities in Singapore and their sole task is to provide continuous schooling that gears students to benefit society. SUSS offers integrated schooling that targets new college leavers as well as adult students with a social science interest. It embraces a teaching strategy that is versatile and concentrated on practice and provides more than 60-degree programs in different fields. To them, learning is a continuous knowledge pursuit that is advantages to not only you but also to everyone else around you.
SUSS offers a course that introduces learners to information regarding mining ideas and apps. Students will be exposed to data collection methodology, data processing and data discovery as well as affiliation, grouping and predictive modelling methods for information mining. The course provides an introduction to learners on how to apply these methods to business analytics issues.
14. London School of Business and Finance
London School of Business and Finance has created the Diploma in Data Analytics to include a qualification for learners wishing to work in the data science sector or in professions where big data management is of use. The diploma’s primary objective is to provide learners with the understanding and useful knowledge into the business analytics industry’s operations. In specific, learners will gain an understanding of how big data is processed and helpful details are retrieved to make informed choices.
Students are fully endorsed throughout the course and progress reviews commonly monitor their growth. Student achievement and accomplishment are supervised to guarantee that the course meets the educational and personal development requirements of the learners ; and industry contacts guarantee that the program is applicable and appropriate to the requirements of an industry profession. Graduate students can undertake entry-level jobs across several sectors, including company analysts, web and social network analysts, and research analysts, with the Diploma in Data Analytics.
15. NTUC Learning Hub
At NTUC Learning Hub, they provide a myriad of data science courses for you to choose from depending on your requirements. They have business analytics with the tool Qilk Sense, analysing and visualising data with Power BI and even novice courses starting with the fundamentals of data analysis using Microsoft Excel. The main purpose of these courses is so that you receive a good comprehension of data analysis with current and new tools in the data science industry.
If you are an up and coming business, taking their course, ‘Data Appreciation To Extract Business Value’ would be your best choice. This is because the course will include the expertise that will enable learners to start applying their understanding acquired in the course if they want to use toolkits such as Tableau, Qlik Sense, Python or even Microsoft Power BI and R to bring more benefits to their business.
16. Metis Kaplan
Metis Kaplan offers Data Science training in the form of boot camps. By offering full-time interactive boot camps, Metis quickens the professions of information researchers. The course is a 12-week in-person boot camp where you must be fully present and participative. Per day, you will experience two to three hours of classroom instruction on a daily basis and four to six hours of development and project work. Although job experience is not needed for the entry requirements, candidates should essentially show that they have a prior job, studies or work-related experience.
During the weeks one to nine of the boot camp, you will be introduced to the various data science toolkit such as Python, pandas, matplotlib and many more. They will continue to build your understanding of how to use the tools, the purpose of each tool and incorporating those tools with your data so that you can provide the right interpretation. For the last two weeks of the boot camp, you will have to do a final project where they will test your abilities in applying what you have learnt to solve real-life scenarios.
17. AI Singapore
AI Singapore allows students to learn data science through a set of modules. They named their course AI for Industry and they give you a breakdown of the modules you can expect when you enrol. For their first few modules, you will be introduced to python and how to do data science with python. The course concentrates on Python explicitly for information science, unlike every other Python tutorial. You will learn about strong ways of storing and manipulating information and cool data science instruments to begin your own analysis in their introduction to Python.
After the introduction module, you will move on to intermediate python for data science where you will discover how to conceptualise actual information, learn fresh data structures and so much more regarding the use of Python for data. Apart from Python, you will pick up on more tools such as Pandas, SQL and data visualisation. After the course, you can expect to be a skilled data scientist with the appropriate knowledge of the necessary tools.
18. Nanyang Technological University
They offer a four-year full-time degree program to learners aspiring to grasp the requirements of incorporating computer science and statistics cooperative disciplines. The program specifically targets innovative learners who intend to use their expertise in data science and artificial intelligence (AI) to find creative alternatives to the urgent problems of society. This program will provide possibilities for learners to address real-life issues in various apps from technology and science, medical care and clinical medicine, company and finance, sustainable development, and many more.
This program is specifically intended and provided in reaction to the quickly emerging field of information science and AI, which is gaining immense momentum in both the sector and the global work market. As such, there are ample opportunities for graduates to operate across various fields of the digital economy and engage in improving the worldwide competitivity of Singapore. Therefore, the program seeks to generate the next batch of extremely qualified graduates needed to continue to drive Singapore’s large-value economic development.