Google Awards Student 10k For Discovery Of App Engine Flaw – With each click, like and share, data is created every second around the world. There is no greater demand for data science professionals to help businesses gain customer insights, drive traffic and boost profits. If you have a passion for data analytics and machine learning, and hope to join a big data company, the Diploma in Data Science (DS) is the course for you!
In addition! You will enter the expertise of ICT, the co-founder of the Data School, with leading industry partners such as OCBC and Indorse.
Google Awards Student 10k For Discovery Of App Engine Flaw
To ensure you are well equipped for your digital future, you will learn essential skills in programming, databases and analytics. Besides understanding the fundamentals of data science and how they affect the competitiveness of organizations, you will also learn key statistical concepts and data visualization techniques for analyzes and presentations. These abilities will stand you in good stead when you pursue a career as a data analyst, junior data scientist, associate data engineer or associate business analyst.
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With exposure to popular enterprise platforms including Microsoft Azure, Salesforce, Tableau, SAP, and Alteryx, you’ll develop strong programming and analytical skills that are essential in managing the AI project lifecycle. With these skills and knowledge, you will be well positioned to launch future careers in project management and business consulting.
Prepared for a career in the growing data science field with specializations in Data Science or Generative AI. With the Technology Engineering specialization, which is developed by industry partners including Alteryx, Denodo and Snowflake, you will receive in-depth training in data pipeline, data optimization and data wrangling.
Deepen your capabilities in Generative AI through modules that cover deep learning, generative AI tools and techniques, as well as a generative AI solution. A strong academic program will prepare you for careers in this ever-growing field.
Using strong industry links, you’ll get to attend a one-year Career Kickstart Program to improve your workplace readiness. Combining skills and knowledge, you will initiate enterprise data science projects that enable you to explore emerging trends and apply machine learning techniques in end-to-end data science workflows -to-the end.
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Interested in diving even further into AI? Join ICT’s Artificial Intelligence Special Interest Group where you will gain hands-on experience in building machine and AI applications, and learn from the industry through events, competitions and discussions.
You can also expect internships, workshops, field trips and industrial mentoring as part of your learning journey at DS. Also, you will have opportunities to put your skills to the test in national level competitions such as the PolyFintech100 Hackathon.
To get an added edge in the workplace, you can pursue additional professional certifications, such as the Salesforce Light Experience Reports & Dashboards Specialist Superbadge, Alteryx Core Designer and Associate Certification in AI Ethics & Governance by the Singapore Computer Society.
Expand your career options with the Data School, a collaboration between ICT and industry partners such as OCBC and Indorse. You can expect to take skills-focused short courses, which are co-designed and delivered with the company to provide on-the-job training that will prepare you for future roles in data analysis and data science. .
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Receive advanced standing when applying for related degree programs at universities both locally and abroad. These include:
You can also hope to pursue a professional degree in an analytics-related field and other advanced courses in regional technologies.
With the amount of data growing exponentially, there is a great need for professionals who can read and analyze it. As Singapore aims to be a global hub for the development, test-bed, deployment and scale of AI solutions, there is an increasing demand for professionals with skills in areas such as data mining and combat, and machine learning and deep learning techniques. .
Applicants must also meet the overall academic requirements for the ELR2B2-C category (English language, 2 relevant subjects and 2 other excellent subjects) listed at /docs/ELR2B2. pdf.
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For students with other qualifications, please refer to the website for entry requirements and admission practice time.
This level introduces the basic concepts of relations and functions, matrices, calculation methods and relevant applications. The main emphasis is to develop students’ ability in solving quantitative problems in statistical analysis, probability and statistics.
This version provides an overview of the various domains of cyber security. It helps develop an understanding of the importance of cyber security in today’s digital world. It aims to provide an understanding of cyber security from an end-to-end perspective. It covers basic security concepts, tools and techniques in areas such as data, end user, software, system, network, physical, organization, and digital forensics. It also helps to develop knowledge and skills in identifying common cyber threats and vulnerabilities, and to apply strategies to combat these issues.
This article provides an overview of Data Science, its importance in the world of data and how it affects the competitiveness of organizations. Students will learn about the different areas within Data Science and the important pillars to practice in the area. Students will also be introduced to Design Thinking. Reference topics include Introduction to Data Science, Big Data and Analytical Design Thinking.
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This level introduces students to the basic elements and principles of design. Students will practice visual communication and personal branding through the aesthetic use of line, shape, form, color, texture, typography, scale, contrast, rhythm and balance. Students will receive training in the use of digital design tools and the application of modern industrial practices to communicate ideas, designs and solutions.
This series provides a broad introduction to the field of ICT by exploring the roles, professional practice, behavioral expectations and career development methods of IT professionals. Through imparting self-directed and teamwork skills with a strong team spirit, the module aims to deepen students’ commitment to the sector for which the course prepares them. In addition, students will need to begin planning their career path in the ICT industry by considering key areas such as personal preferences and expertise, job roles and responsibilities, required skills and program- further education.
This module introduces the basics of programming and how to develop programs using appropriate problem-solving techniques in a modular style. In this practical module, we teach students how to apply problem-solving skills using a top-down programming approach and give extensive practice translating solutions into computer programs, then testing and adjust the settings. Topics include data types, variables, expressions, statements, optional features, loops, simple calculations and algorithms, and using libraries. Students will also practice using pseudocodes, programming best practices, debugging techniques with the help of tools, developing test cases, and proper programming documentation. In addition, they will study several areas where application software plays an important role in helping organizations solve problems. The student will be given ample opportunity for independent and self-directed learning.
Express English aims to give you the best grounding in English and to strengthen the written and oral communication skills you will need in your academic and professional careers. You will engage in writing, reading, listening and speaking activities that will develop your ability to speak and write grammatically, coherently and clearly. You will also improve your reading comprehension and listening skills.
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Health & Wellbeing (1 Credit Unit) This is a Core Level 1 module for all Year 1 students. The module will introduce students to the importance of maintaining physical and mental health through awareness and monitoring of the health indication, and application through appropriate exercises. The aim of the module is to empower students with the basic knowledge and skills to be independent and responsible in maintaining their overall personal health.
Today’s business organizations depend on information systems in all aspects of their businesses. The company’s databases are set up to handle the potential business transactions generated by these information systems. This module introduces students to the basic concepts of database systems and how to model and design database systems that reflect business requirements. Students will learn how to analyze data needs, model relationships between data objects, apply regression analysis to relationships and create physical databases. Skills learned include data modeling, conversion of data models to relationships, regression analysis and SQL (Structured Query Language).
This module discusses the principles and techniques for creating effective visuals based on graphic design and cognitive science. Using widely accepted tools and analytical programming, students will apply these principles and techniques to create rich visualizations for analysis and presentation. Topics covered include Principles of Visualization, Dashboard Design Principles and Designing for an Audience.
In this module, students will first be exposed to statistical concepts, including hypothesis testing, probability distributions and more. Students will be able to perform univariate, multivariate and regression analysis in order to identify inherent patterns and obtain key insights from business data. Reference topics include Normal Distribution, Sampling and Sampling Distributions and Correlation Analysis.
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This level builds on the knowledge and skills acquired in Program I. It aims to provide opportunities for students to develop medium-sized applications based on the Object-Oriented (OO) method. An appropriate high-level programming language will be used by students to apply their problem-solving skills. The main concepts of OO and the implementation of applications using the OO method will be
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