Data researchers are a distinctive breed that uses information to understand and draw particular company, medical, economic, and manufacturing findings. Based on original assessment with ongoing evidence points, they are able to hypothesize, improve company results by continually testing those basic findings and the iterative changes to guarantee that the findings reached remain right and true. For every company, the world of data science is altering their world. And to keep up with these changes, you will need to constantly be equipped with the latest skills. Hence, here are 16 companies that provide the best data science courses in Singapore!
Note: This list is strictly not in order.
1. Hackwagon Academy
Over the years, Data Science has transformed business strategies to enable companies to know how to better connect customers, make recruitment decisions, and expect process failure. Currently, companies are taking advantage of the strength of their data to drive innovation and make powerful decisions for their businesses. They make informed choices that are driven and backed 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. Accomplishing this course would enable anyone to qualify for their Data Science 102 course, where individuals will study complexed data analytics tools and with this newly acquired skills, can develop their own project. Eventually, students from the previous course will move on to Data Science 103 which is their master class in which individuals discover how to construct a complete information chain that incorporates concepts of machine learning. Develop the ability to perform deep and knowledgeable graduate analysis with Hackwagon Academy.
2. Lithan Academy
For Lithan Academy, you can partake in their professional diploma in data science. If you are taking it full-time, it would take around 6 months to complete whereas for those keen on taking it part-time, it would take roughly about 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, visualise and forecast 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 industry of data science.
The type of learning they provide is mentor-led as they offer integrated teaching through a combination of autonomous e-learning, trainer-led courses and specialist in the field coaching to significantly enhance your productivity and efficiency. At the end of the course, you will receive the relevant certifications in accordance to the tools you have mastered throughout the course.
3. SIM Global Education
Established by Goldsmiths, UK, their program, Masters of Science in Data Science is granted by London University, UK. Goldsmiths was formed in 1891 and is known in creative, cultural and computational fields for research and teaching. According to the QS World University Ranking, they are in the world’s top 50 for computer science and information systems. The Computing Department relates informatics to the media, arts, design, music, games, and company.
The Computing Department of Goldsmiths thinks that learning through experimenting and doing is the critical factor in the research. You will understand the mathematical principles of statistics, data mining and machine learning when studying this Master of Science in Data Science program and adapt them to practical, real-world information. You will learn, as well as these statistical abilities, the computational methods required to analyze very big information sets effectively. Under the advice of specialists in that field, you will extend these abilities to a variety of real-world information.
4. Data Science Dojo
Data Science Dojo offers five-day data science training. You can learn the science of information even if you’re just a starter. Their Data Science Bootcamp provides thoroughly designed pre-boot camp material to educate you the needed ideas of programming, statistics, machine learning and data science to sign you up for achievement. Problems related to data are often ignored even by professionals. To offer you a strong basis for predictive analysis, the course reinforces the basics of information visualization, exploration, quality, feature engineering, sampling and acquisition.
A broad range of classification, regression, recommendations and unsupervised teaching methods are covered in the curriculum. They underline both the strong knowledge and right use of algorithms. A mixture of lecture, debate and hands-on laboratories will guarantee that you have the capacity to select the correct metrics for your model and you can adjust your model of machine learning to render it more generalisable.
5. Nanyang Technological University
The Analytics Master of Science (MSc) program is an interdisciplinary post-graduate program appropriate for practitioners wanting to utilize business analytics in their respective areas as well as latest college graduates considering a career in the data science sector. Analytics is the science of discovering information trends to help make decisions. It is an interdisciplinary field anchored in applied mathematics, with a broad spectrum of company, finance, and industrial applications.
Modern companies are moving to progressively advanced analytics techniques to give customers better shopping suggestions, reach initially overlooked markets, and enhance the effectiveness of their inner logistics procedures and workflows. The program offers the abilities and expertise needed to apply state-of-the-art data science methods to company problems in the contemporary economy. The programme, taught in three semesters, is an extensive one-year full-time or two-year part-time coursework program. A certificate of Master of Science (MSc) in Analytics is given to learners upon completion of the research.
‘Data Analytics for Decision Making’ course introduces data science as a main contemporary strategy to company organizations decision-making. It explores the main elements of business analytics, notably components related to business, data and analytics. Students are taught to evaluate a company situated in order to formulate the company issue for the company aspect. Students are taught to utilize a variety of analytics and data visualization methods for the analytics element, and learn how and when to assess a variety of applicant methods and pick the most suitable method to build the analytics solution.
For the Data aspect, students will learn to assess the quality of data and prepare data required for constructing an analytics solution to the business problem. Students will then learn to design effective analytics solutions to solve business problems. Gradually, learners will learn to recognise the outcomes of analytics and deduce to formulate measures to enhance the efficiency of the organization. In the modern competitive market, experts who are acquainted with management business analytics are extremely sought-after. This course will provide learners with important business analytics and data visualization abilities. Students acquire experience via assignments in converting big data into significant ideas that could improve the efficiency of the organization.
7. 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.
8. Beacon Communications
It’s not simple to become a data scientist. It includes basic understanding for visualization, such as statistics, data wrangling. To assess information and convey the outcomes, you will have to comprehend the methods. Use your Skillsfuture credit for this boot camp, learning the ideas, instruments, and methods you need to start a data science career is a hands-on guided course for you. It includes concepts ranging from data science to big data, and information collection, cleaning and processing data.
The course reaches a theory-practical equilibrium by using case studies as illustrations and laboratory practices led by the instructor. Upon completion, fundamental data handling duties can be performed, data collection and analysis and presented using industry-standard instruments. Beacon Communications ‘ key team consists of experts with a combined company experience of more than 50 years. So you can rest assured that you are in safe and experienced hands when you enrol for their training.
9. UpCode Academy
The course that is offered by UpCode Academy is ‘Data Science Introduction’. It functions as a starting point for learners looking to do data science through the use of Python coding to handle data and it provides special attention to specialized Python databases for data recovery and visualization techniques. This unique edition of the course will bring about data science and also programming (coding) to learners. It seeks to strengthen their knowledge of Python through Singapore’s real-life databases and issues. Students can also look forward to getting the relevant resources from the course that will assist them as a guide to perform coding exercises after the course.
You will receive an opportunity to discover the appropriate periods and means in conducting the different components of coding and programming, organizing the useful HTML and CSS Validation, choosing the suitable coding tools that are available to draw out conclusions from your data, and analyse your data to form interpretations that could potentially benefit a business. Key coding conquest or toolkits such as Text Editors, GitHub, Heroku, will be trained as part of the program. These toolkits will result in Python once you have mastered the programming language. With this, you can practice data science anytime and potentially join the workforce with the key skills that you have developed through the course.
The focus of their 3-day training is to get respondents to start with Data Science techniques. There you will get to know the data science studio of Microsoft Azure Machine Learning, R Studio, Jupyter Notebook, Spyder with Python. This course involves real-world use of reversion, classification, and product suggestions for machine learning. For each of the course’s subtopics and product, deeper classes are also accessible as supplements after completing this boot camp overview.
This course is intended for current software developers and programmers wishing to shift into the profession of data science. It is also appropriate for learners aspiring to the career route of the data scientist. Software Developers or BI Professionals with a minimal level of 1 year of experience. Students with a professional experience of at least 2 years in any programming language are allowed to join the course.
11. X Course
For their data science courses, they offer a Microsoft authorized Power BI Training Programme where you will learn how to analyse and visualise data with Microsoft Power BI. Would you like to evaluate information from various or single sources? You want to build your personal dataset based on these sources and turn your outcomes into lovely visualizations that are simple to make? You also want to share your outcomes or cooperate on your project with your peers? Eventually, you want various devices to be able to access your information?
Then the instruments of Power BI are the instruments that are best suited for you! In this course, you will understand why Power BI provides you with an extensive collection of Business Intelligence instruments for your data analysis objectives as well as how to these instruments to satisfy all the above-mentioned duties-and more. Fathom rapidly structuring your information, readily adding calculations to it, and in about a few minutes creating and publishing beautiful-looking graphs. There are no prerequisites for this course so sign up whenever you wan
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12. Solace Tech Pte Ltd
This is a face-to-face course, with extra self-learning exercise distributed over 6 days prior to the actual class and the second face-to-face meeting on Solace Tech’s e-learning platform here between the classes. Individuals expected to operate through the e-learning portal for the advantage of the students prior to the actual course, as it is generally more difficult to understand the idea without iterations for full novices.
One week before the course, attendees spend 3 hours of self-learning reading materials and doing activities, before the course. The main objective is to get to know some materials which are not simple and clear and will need to comprehend through repetitiveness. Individuals will learn during the first face-to-face session with an instructor’s guidance. Individuals who have anticipated queries from the previous self-learning session during the class, the instructor will help fill in your doubts. Another week to be spent on a self-learning, where respondents required to spend 3 hours doing practice and submitting the tasks to be assessed by Solace Tech’s team, evaluating the knowledge of the first session by the respondents. For the second face-to-face session, individuals are going to do an instructor-led project.
13. 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 individual who seeks to move into the data analysis field, taking their course, ‘Data Analysis Fundamentals using Microsoft Excel’ would be your best choice. This is because the course will enable you to comprehend what data analytics are and how you can use Microsoft Excel as a data analytics tool. The primary aim of the training is to provide learners with the capacity to add analytical capacities to Excel spreadsheets and to provide a basis for learners to learn with Excel or Power BI about sophisticated data analytics.
14. Singapore Institute of Technology
They offer an introductory course to data science with the use of an open-sourced R programming language. It aims to equip the public with the capacity to view and conduct fundamental statistical analysis on their own information and then interpret the outcomes. It presents R programming and statistical ideas in a sensible way so that the public can use these instruments to analyze practical information instantly.
During the course, you will learn about the types of data and the fundamentals of R programming, do data reading from multiple sources, pre-processing and data scrubbing, data visualisation and exploratory data analysis. You will also pick up on correlation analysis with your given data, descriptive statistics, statistical inference in R and probability distributions. The course is intended for professionals from any industry that handles large data such as finance, insurance, government agencies, logistics, pharmaceutics, healthcare, construction and hospitality.
15. Temasek Polytechnic
Data mining and analytics will continue to stay as the main Singapore strategy and the demand for manpower in this particular industry remains at an all time high. The ‘Big Data & Analytics Specialist Diploma’ that Temasek Polytechnic offers is a one-year learning whilst earning program concentrated mainly on diploma graduates that would like to strengthen their data science and analytics abilities. The program culminates in providing you with a kickstart in your career, allowing you to secure full-time employment with industry professionals, addressing extensive on – the-job and institution-based coaching to improve your skills and knowledge in this area.
Once the program is finished, attractive salaries can be anticipated due to the strong demand for skilled employees in the field of big data and analytics. Furthermore, as this region continues to grow, you there will be plenty of opportunities to even further upgrade your career skills and reinforce them. You can look forward to an enhancement of your position in the workforce once you have completed this course.
16. AI Singapore
AI Singapore allows students to learn data science through a given set of specially selected modules. For their first few modules, you will be introduced to Python programming as it will move off to the following modules where they will teach you how to do data science with python. Knowing and understanding Python is not just important for the course but also in the field of sata science as it is one of the oldest and most popular languages used for the study, analysis, handling and preservation of data. The course concentrates on Python explicitly for information science, unlike every other Python tutorial. In their introduction to Python, you will understand about powerful ways to store and manipulate information and fascinating data science tools to start your own study.
You will move on to an intermediate stage of Python for data science after the introduction module where you will find out how to conceptualize real information, learn new data structures, and so much more about using Python for data. You will pick up more instruments like Pandas, SQL and information visualization besides Python. You can expect to be a qualified data scientist with adequate understanding of the required instruments after the course.