Data Analyst Course - Data Analyst Classes
Data Analyst
New! SkillsFuture Credit (Mid-Career) top-up is applicable for this programme
Data analysts are experts in deciphering complex raw data and transforming it into actionable insights. They excel in organising, analysing, and interpreting large data sets by leveraging a variety of analytical tools and methodologies.
In today's data-driven world, data analyst skills are in high demand as they play a crucial role in uncovering valuable insights and driving data-informed strategies to help organisations maintain a competitive edge. Combined with Singapore’s dedication to fostering a robust data analytics ecosystem, the demand for skilled data analysts in Singapore will continue to grow.
With an average annual salary of approximately S$60,000 per year (SalaryExplorer), data scientists are highly valued in Singapore's job market. As digitalisation accelerates, their significance in guiding businesses toward data-informed decision-making has never been more essential.
As a data analyst, your job scope revolves around collecting, cleaning, organising, and interpreting big data using various analytical and statistical tools. When you pursue a career in data analytics in Singapore, you will get to work with data from various sources, such as databases, spreadsheets, and software applications, to identify patterns, trends, and actionable insights that can help your organisation to optimise its operations, increase efficiency, and reduce costs.
In addition, you will be often tasked with creating predictive models and forecasting future trends based on historical data. Your insights and recommendations can be used by your organisation to make data-driven decisions, such as identifying new business opportunities, improving customer experience, and optimising marketing campaigns.
Overall, as a data analyst, it is critical to help your organisation stay competitive and adapt to the rapidly changing business landscape. By enrolling into a professional data analytics course in Singapore and improving your skills, you will be highly valued and sought after in today's global job market.
Becoming a proficient data analyst requires analytical thinking, attention to detail, and strong problem-solving skills. By following the right course, you can cultivate these skills while also grasping the practical and theoretical knowledge required for the position. If you wish to become a skillful data analyst in Singapore, begin your journey by enrolling in the professional course.
This programme offers in-depth knowledge of data science and necessary skills for data analysis which will provide the foundation to become a qualified data professional. Moreover, your competencies and capabilities in the field will be evaluated through data analyst exams and training programmes.
In today's data-driven world, data analyst skills are in high demand as they play a crucial role in uncovering valuable insights and driving data-informed strategies to help organisations maintain a competitive edge. Combined with Singapore’s dedication to fostering a robust data analytics ecosystem, the demand for skilled data analysts in Singapore will continue to grow.
With an average annual salary of approximately S$60,000 per year (SalaryExplorer), data scientists are highly valued in Singapore's job market. As digitalisation accelerates, their significance in guiding businesses toward data-informed decision-making has never been more essential.
What do Data Analysts do?
As a data analyst, your job scope revolves around collecting, cleaning, organising, and interpreting big data using various analytical and statistical tools. When you pursue a career in data analytics in Singapore, you will get to work with data from various sources, such as databases, spreadsheets, and software applications, to identify patterns, trends, and actionable insights that can help your organisation to optimise its operations, increase efficiency, and reduce costs.
In addition, you will be often tasked with creating predictive models and forecasting future trends based on historical data. Your insights and recommendations can be used by your organisation to make data-driven decisions, such as identifying new business opportunities, improving customer experience, and optimising marketing campaigns.
Overall, as a data analyst, it is critical to help your organisation stay competitive and adapt to the rapidly changing business landscape. By enrolling into a professional data analytics course in Singapore and improving your skills, you will be highly valued and sought after in today's global job market.
Responsibilities
- Collect, clean, and organise large sets of data from various sources such as databases, spreadsheets, and software applications
- Use analytical and statistical tools to identify patterns, trends, and insights in data
- Develop data analysis methodologies and models to extract actionable insights from data
- Create reports and data visualisations to communicate findings to stakeholders
- Collaborate with other teams and departments to ensure data integrity, accuracy, and consistency
- Analyse data to identify opportunities to optimise operations, increase efficiency, and reduce costs
- Develop and implement predictive models to forecast future trends based on historical data.
- Stay up to date with new technologies and tools to continuously improve data analysis processes
- Provide recommendations and insights to decision-makers based on data-driven findings
- Maintain data security and confidentiality by adhering to data privacy regulations and company policies
How to Become a Good Data Analyst?
Becoming a proficient data analyst requires analytical thinking, attention to detail, and strong problem-solving skills. By following the right course, you can cultivate these skills while also grasping the practical and theoretical knowledge required for the position. If you wish to become a skillful data analyst in Singapore, begin your journey by enrolling in the professional course.
This programme offers in-depth knowledge of data science and necessary skills for data analysis which will provide the foundation to become a qualified data professional. Moreover, your competencies and capabilities in the field will be evaluated through data analyst exams and training programmes.
Average salary
$3,337 per month for Junior Data Analyst
$6,999 per month for Senior Data Analyst
Data Analyst Skills Required for this Role
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Technical Skills & Competencies |
Soft Skills & Competencies |
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Career Support
Unlocking New Tech Career Paths
Step into high-demand tech roles with in-demand skills and industry-recognised certifications. Join these programmes to open doors to future-ready careers in tech.
Smooth Gig-to-Tech Transition
Shift from gigs to stable, long-term tech careers with structured training and placement support. Acquire the skills and tools to thrive in today’s digital economy.
Empowering Women’s Workforce Return
Restart your career with flexible training designed to support you in entering the tech industry. Rebuild your career through curated pathways tailored to your goals.
Career Agility Hub
Enjoy access to NTUC LHUB’s Career Agility Hub (CAH) throughout the SkillsFuture Career Transition Programme. This recruitment platform offers over 100,000 jobs across sectors and levels, along with updates on job fairs and industry events.
Continued Career Support
Tap on career coaching and placement support services provided by NTUC LHUB and its network of partners. Additionally, enjoy continued access to CAH and receive announcements of curated jobs and job fairs via email.
Pre-requisites
- Singapore Citizens, Singapore permanent residents, and Long-term visit pass plus holders (LTVP+ Holders) who are aged 21 years and above
- Committed to complete the programme
- Minimum Diploma
- Be able to speak, listen, read, and write English at a proficiency level equivalent to the Employability Skills Workforce Skills Qualification (ES WSQ) Workplace Literacy (WPL) Level 6
- Be able to manipulate numbers at a proficiency level equivalent to ES WSQ Workplace Numeracy (WPN) Level 6
- Well versed in all Microsoft Office applications, especially Excel, Word, PowerPoint, and Outlook
- Committed to complete the data analytics programme
- Strong communication skills and problem-solving skills
- Ability to multitask
- Ability to work in a team environment
- Maintains high integrity and displays reliability
- Interested participants should apply for the programme
- Shortlisted candidates will be called for a 15-minute face-face or virtual interview
Training Methodology
Instructor-led Virtual Training
Lecture and activity-based training with certified Trainers
Online Learning
Self-paced learning via e-learning platforms
Portfolio Building
Create a winning portfolio filled with hands-on projects that will help you shine in interviews.
Duration & learners schedule
Total duration: 4.1 months (full-time)
List of Data Analytics Courses to Attend
As part of this skillsfuture career transition programme, learners must attend the following courses:
CompTIA Data+
Course Overview
This five-day course aims to enhance the preparedness of potential workers migrating into the fields of data analysts and data scientists and to upgrade the knowledge and skills of existing workers to match the everchanging demands in transforming data into business intelligences and stories. It will also prepare participants who desire to obtain the official CompTIA Data+ certification.
Course Objectives
Course Overview
This five-day course aims to enhance the preparedness of potential workers migrating into the fields of data analysts and data scientists and to upgrade the knowledge and skills of existing workers to match the everchanging demands in transforming data into business intelligences and stories. It will also prepare participants who desire to obtain the official CompTIA Data+ certification.
Course Objectives
- Data concepts and environments
- Data mining
- Data analysis
- Virtualization
- Data governance, quality, and controls
Data Analysis using Excel: Essentials
Course Overview
Microsoft Excel is a very widely used tool with many organizations and departments and being able to produce a quick analysis is an asset. This course provides participants with the knowledge and skills to work with and analyze data and work with business cases using Microsoft Excel. The objective is to familiarize the participants with the fundamentals of how to manage, transform and analyze data using the various functions in Excel.
Course Objectives
Data Analysis using Excel: Power User
Course Overview
This course is intended for anyone who wants to stretch their data analysis capabilities using Microsoft Excel starting with a block of data to a table of data, going beyond just functions and formulas, and picking up more advanced capabilities leading to data preparation, data modelling and data visualisation using power query, power pivot, pivot charts, conditional formatting, slicers, timelines and dashboards.
Course Objectives
Course Overview
Microsoft Excel is a very widely used tool with many organizations and departments and being able to produce a quick analysis is an asset. This course provides participants with the knowledge and skills to work with and analyze data and work with business cases using Microsoft Excel. The objective is to familiarize the participants with the fundamentals of how to manage, transform and analyze data using the various functions in Excel.
Course Objectives
- Basic Functions of MS-Excel
- Reporting in Excel
- Excel Tables
- Pivot Tables, Pivot Charts and Dashboards
Data Analysis using Excel: Power User
Course Overview
This course is intended for anyone who wants to stretch their data analysis capabilities using Microsoft Excel starting with a block of data to a table of data, going beyond just functions and formulas, and picking up more advanced capabilities leading to data preparation, data modelling and data visualisation using power query, power pivot, pivot charts, conditional formatting, slicers, timelines and dashboards.
Course Objectives
- Look at the Data
- Prepare the Data
- Model the Data
- Process the Data
- Visualise the Data
Transact-SQL Essentials for Data Extraction
Course Overview
The main purpose of this course is to give students a good understanding of the Transact-SQL language which is used by all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence. As such, the primary target audience for this course is: Database Administrators, Database Developers and BI professionals.
Course Objectives
Course Overview
The main purpose of this course is to give students a good understanding of the Transact-SQL language which is used by all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence. As such, the primary target audience for this course is: Database Administrators, Database Developers and BI professionals.
Course Objectives
- Describe key capabilities and components of an on-premise and cloud-based MS SQL Server.
- Describe T-SQL, sets, and predicate logic.
- Write queries that use built-in functions.
- Write queries that aggregate data.
- Use set operators to combine query results.
- Use window ranking, offset and aggregate functions
- Implement pivoting and grouping sets.
Data Visualisation with Microsoft Power BI
Course Overview
The course is designed to equipped students with the basic skills needed to create visual reports with data analytics using Power BI. Learners will be able to consume and transform data using the Power BI desktop application, create models from raw data sources and configure Dashboards using the Power BI Service.
Course Objectives
Course Overview
The course is designed to equipped students with the basic skills needed to create visual reports with data analytics using Power BI. Learners will be able to consume and transform data using the Power BI desktop application, create models from raw data sources and configure Dashboards using the Power BI Service.
Course Objectives
- Perform Power BI desktop data transformation.
- Describe Power BI desktop modelling.
- Create a Power BI desktop visualization.
- Implement the Power BI service.
- Describe how to connect to Excel data.
- Describe how to collaborate with Power BI data.
- Connect directly to data stores.
- Describe the Power BI analytic and visual API.
- Describe the Power BI mobile app.
Certified Entry-Level Python Programmer (PCEP)
Course Overview
This 5-day course for entry-level Python programmer is designed to equip participants with foundational Python skills. The course covers basic programming concepts such as variables, data types, loops, functions, and error handling.
Participants gain proficiency in writing and understanding Python code, preparing them for entry-level roles in software development, data analysis, or testing. The objective is to provide a solid understanding of Python fundamentals, enabling learners to write simple code and applications.
Course Objectives
Course Overview
This 5-day course for entry-level Python programmer is designed to equip participants with foundational Python skills. The course covers basic programming concepts such as variables, data types, loops, functions, and error handling.
Participants gain proficiency in writing and understanding Python code, preparing them for entry-level roles in software development, data analysis, or testing. The objective is to provide a solid understanding of Python fundamentals, enabling learners to write simple code and applications.
Course Objectives
- Equip learners with foundational Python skills: Covering essential programming concepts like variables, data types, loops, functions, and error handling.
- Prepare participants for entry-level roles: Develop proficiency in writing and understanding Python code, enabling them to pursue careers in software development, data analysis, or testing.
- Foster a solid understanding of Python fundamentals: Empower learners to create simple scripts and applications, catering to both personal interest and professional development needs.
Certified Entry-Level Data Analyst with Python (PCED)
Course Overview
This course has been designed to equip participants with understanding of entire data science pipeline, starting from data acquisition and preprocessing to advanced statistical analysis and modelling, culminating in effective data reporting and visualization.
Participants will gain proficiency in scripting for automation, dashboard creation, and data visualization techniques, empowering them to derive actionable insights from complex datasets and communicate findings effectively.
Course Objectives
Course Overview
This course has been designed to equip participants with understanding of entire data science pipeline, starting from data acquisition and preprocessing to advanced statistical analysis and modelling, culminating in effective data reporting and visualization.
Participants will gain proficiency in scripting for automation, dashboard creation, and data visualization techniques, empowering them to derive actionable insights from complex datasets and communicate findings effectively.
Course Objectives
- Acquire proficiency in various data collection methods, preprocessing techniques, and data cleaning procedures to ensure the reliability and accuracy of datasets.
- Develop essential programming skills in Python and leverage popular libraries like Pandas, NumPy, and Scikit-learn for data manipulation, analysis, and modeling tasks.
- Master the art of synthesizing complex datasets into actionable insights through statistical analysis, supervised learning models, and effective data visualization techniques, enabling informed decision-making and insightful reporting.
Essential Statistics for Data Analytics
Course Overview
This 2-days course on essentials of Statistics provide introduction to the topic. The business world is driven by data, and statistics are a core skill for many careers, especially data analysis and data analytics. Understanding of statistical analysis is critical for making decisions, discoveries, investments, and even predictions.
This course is a must for those working in data science, business, and business analytics, or anyone else who wants to understand how statistics work in the real world.
Course Objectives
Course Overview
This 2-days course on essentials of Statistics provide introduction to the topic. The business world is driven by data, and statistics are a core skill for many careers, especially data analysis and data analytics. Understanding of statistical analysis is critical for making decisions, discoveries, investments, and even predictions.
This course is a must for those working in data science, business, and business analytics, or anyone else who wants to understand how statistics work in the real world.
Course Objectives
- Master basic statistical concepts, interpretation of charts and graphs, and probability for data analytics.
- Practice samples and sampling, confidence intervals, and hypothesis testing for research analysis and interpretation.
- Explore experimental design, analysis of variance, population comparison, and regression analysis for data analytics and developing scenario-based predictive models.
Generative AI and Data Storytelling for Data Analytics
Course Overview
This 3-day course is designed to equip participants with working knowledge of Generative AI and the art of data storytelling. The course covers concepts such as text, image, speech generation and transformation using latest tools and platforms in the market supporting Generative AI models.
Participants gain proficiency in using Generative AI for data storytelling. The objective is to provide a solid understanding of how Generative AI works, and how to communicate effectively with data using art of storytelling.
Course Objectives
Course Overview
This 3-day course is designed to equip participants with working knowledge of Generative AI and the art of data storytelling. The course covers concepts such as text, image, speech generation and transformation using latest tools and platforms in the market supporting Generative AI models.
Participants gain proficiency in using Generative AI for data storytelling. The objective is to provide a solid understanding of how Generative AI works, and how to communicate effectively with data using art of storytelling.
Course Objectives
- Equip learners with foundational Generative AI skills: From basic concepts of Generative AI to usage and application of tools and techniques of Generative AI models.
- Help learners understand and apply the data storytelling techniques for effectively communicating the insights from data analytics.
- Understanding the top trending tools which are using advanced LLM models and can help the business and data analysts generate insights from their charts and take data-driven decisions.
Fundamentals of the Personal Data Protection Act
Course Overview
This three-day course will give course participants a good overview and understanding of the PDPA and how it may be applied to the organizations for compliance.
In addition to references to relevant parts of the PDPA, the course content is also largely adapted from the Advisory Guidelines published by the PDPC.
Course Objectives
Course Overview
This three-day course will give course participants a good overview and understanding of the PDPA and how it may be applied to the organizations for compliance.
In addition to references to relevant parts of the PDPA, the course content is also largely adapted from the Advisory Guidelines published by the PDPC.
Course Objectives
- Definition of what is personal data.
- An Organization’s processes, procedures, and guidelines of DPMP.
- Personal Data Protection Act 2012 - 2020 (PDPA).
- PDPA and the data lifecycle.
- Obligations under the PDPA.
- Accountability under the PDPA; and
- Best practices in operationalizing PDPA.
(SCTP) Associate Data Analyst: Capstone Project
Course Overview
As the last module of the SCTP Associate Data Analyst program, this module lets learners work on the problems they intend to solve by selecting datasets from different business sectors to perform data analysis.
For this individual project, learners are tasked to apply their data analyst skills and what they have learnt by analysing real-world data sets in each stage of the data analytics process and preparing mock reports of the learner’s findings. During the module, learners will have the opportunity to share their findings with other learners who are attending the data analyst course in Singapore.
Disclaimer: The real-world data sets are taken from publicly available sources, and LHUB does not represent or warrant that the capstone project will be actual work done for prospective employers.
Course Objectives
Course Overview
As the last module of the SCTP Associate Data Analyst program, this module lets learners work on the problems they intend to solve by selecting datasets from different business sectors to perform data analysis.
For this individual project, learners are tasked to apply their data analyst skills and what they have learnt by analysing real-world data sets in each stage of the data analytics process and preparing mock reports of the learner’s findings. During the module, learners will have the opportunity to share their findings with other learners who are attending the data analyst course in Singapore.
Disclaimer: The real-world data sets are taken from publicly available sources, and LHUB does not represent or warrant that the capstone project will be actual work done for prospective employers.
Course Objectives
- Able to understand and interpret business problems to conceptualize the problem statement, formulate research objectives and provide actionable insights.
- Able to work with different stages of a typical data analytics process.
- Be able to perform data transformation based on the needs of the business use cases.
- Be able to explore and analyse data with data visualisation tools such as Power BI or programming languages such as Python.
- Prepare mock reports after data modelling and analysis and provide recommendations to take data-driven decisions.
Data Analytics Certifications
Participants will be awarded with NTUC LHUB Certificate of Completion, and this programme will also help participants to prepare for the following globally recognised certifications:
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Course Fee and Government Subsidies |
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Before GST |
After GST* |
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Full Course Fee |
$19,000.00 |
$20,710.00 |
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Singapore Citizens and Singapore Permanent Residents aged 21 years and above 1 (70% funding) |
$5,700.00 |
$6,213.00 |
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Singapore Citizens aged 40 years and above 2 (after 90% funding) |
$1,900.00 |
$2,413.00 |
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Singapore Citizens eligible for Additional Funding Support 3 (after 95% funding) |
$950.00 |
$1,463.00 |
*GST payable for all funding-eligible applicants: $513.00 (As per SSG’s policy, the GST payable is calculated based on prevailing rates of 9% after the baseline funding subsidy of 70 %)
- Base Subsidy - Eligible Singapore Citizens and PRs aged 21 years and above can enjoy subsidies up to 70% of the course fee.
- Mid-career Enhanced Subsidy (MCES) – Eligible Singapore Citizens aged 40 and above can enjoy subsidies up to 90% of the course fee.
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Additional Funding Support (AFS)- Eligible Singapore Citizens that meet at least one of the following eligibility criteria can enjoy subsidies up to 95% of the course fee:
- Long-term unemployed individuals (unemployed for six months or more); or
- Individuals in need of financial assistance – ComCare Short-to-Medium Term Assistance (SMTA) recipients or workfare Income Supplement (WIS) recipients; or
- Persons with Disabilities
- SkillsFuture Credit - Self-sponsored individuals can use their SkillsFuture Credit and Additional SkillsFuture Credit (Mid-Career Support) to offset the course fee payable after funding.
- All Singaporeans aged 25 years and above received an opening credit of $500.
- From 1 May 2024, Singaporeans aged 40 and above will receive a SkillsFuture Credit (Mid-Career) top-up of $4,000, intended to further reduce out-of-pocket course fees for selected programmes that enhance employability outcomes. These credits may be applied to the SkillsFuture Career Transition Programme (SCTP), which are SkillsFuture Singapore’s (SSG) train-and-place initiatives in sectors with favorable employment prospects.
- PSEA - Self-sponsored Singaporeans below 31 years of age can offset the course fee payable after funding with their Post-Secondary Education Account (PSEA).
- Union Training Assistance Programme (UTAP) - Self-sponsored NTUC Members can offset the course fee payable after funding with their Union Training Assistance Programme (UTAP) by up to $500, capped at 50% of course fee.
Funding Eligibility Criteria
- Trainees must be Singapore Citizens, Singapore Permanent Residents, or LTVP+ Holders aged 21 years old and above
- From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
- Trainees must achieve at least 75% attendance for each module
- Trainees must pass all prescribed tests / assessments and attain 100% competency.
- NTUC LearningHub reserves the right to claw back the funded amount from trainees if they did not meet the eligibility criteria.