Training Course Fees & Funding
Full course fee: S$980.00 (before GST & government funding) TGS: TGS-2023018660
70% SSG Grant
Baseline + Enhanced Training Support
- SG Citizens aged 40+ (Individual, SME or MNC)
- SME-sponsored SG Citizens (21+)
- SME-sponsored PRs (21+)
50% SSG Grant
Baseline WSQ Funding
- SG Citizens aged 21–39 (Individual or MNC)
- MNC company-sponsored PRs (21+)
- Individual PRs (21+)
Additional Funding Options
Singapore Citizens aged 25+ can use their SkillsFuture Credits to offset nett fees.
Companies sending local & foreign staff can claim up to $10,000 SFEC funding.
NTUC members can claim up to 50% of remaining fees (capped at $500/year).*
Need help with funding applications? We'll guide you through the process.
* Terms & conditions apply. Funding subject to eligibility and approval by respective agencies. GST applies on full course fee before subsidy. Fee information is accurate as of Apr 2026.
WSQ Grant of up to 50-70%
The Analyze and Visualize Data With Python Training is a practical, hands-on, 2 days training, focused on teaching the participants the key skills used to analyze data using Python.
This intermediate 2-day course focuses on a number of Python packages that are commonly used for data analysis, including: CSV, Numpy, SciPy and Pandas. During the course, participants will manipulate and clean data as well as use the stats library to conduct basic statistical tests.
Additionally, this course focuses on how to write and run simple data analysis programs in Python, and builds on these using some of the powerful extensions available in Python. This will be achieved through hands-on worked examples of real life data problems.
Python is used by analysts who want to go deeper into data analysis or apply statistical techniques, and by most people who turn to Data Science, Machine Learning, Artificial Intelligence, Big Data analysis.
Python is a production-ready language meant for data science and data analysis, meaning it has the capacity to be a single tool that integrates with every part of your workflow! It helps you make sense of your data, quickly, and efficiently.
Course Outline For Data Analytics & Visualization With Tableau for Visual Story Telling
- Introduction to Data Analytics and Visualization:
- Overview of data analytics and its importance.
- Introduction to data visualization concepts and best practices.
- Understanding the role of Tableau in data analytics and visualization.
- Getting Started with Tableau:
- Familiarization with the Tableau interface and its key components.
- Connecting to data sources, including spreadsheets, databases, and files.
- Exploring Tableau’s data connection options and capabilities.
- Data Preparation and Cleaning:
- Importing and loading data into Tableau.
- Understanding data types, formatting, and data quality issues.
- Applying data cleaning and transformation techniques within Tableau.
- Exploring Data Visualization Principles:
- Introduction to key principles of data visualization.
- Understanding data visualization types and when to use them.
- Exploring visual encodings, color schemes, and labeling techniques.
- Creating Basic Charts and Graphs:
- Building foundational visualizations such as bar charts, line charts, and scatter plots.
- Customizing visualizations with filters, sorting, and grouping.
- Applying basic calculations and aggregations to create meaningful visual representations.
- Designing Interactive Dashboards:
- Understanding dashboard design principles and user experience considerations.
- Building interactive dashboards by combining multiple visualizations.
- Incorporating interactivity through filters, parameters, and actions.
- Advanced Visualization Techniques:
- Exploring advanced visualization options, including heat maps, treemaps, and box plots.
- Utilizing Tableau’s mapping capabilities to create geographic visualizations.
- Applying advanced formatting and design techniques to enhance visual appeal.
- Working with Calculated Fields and Parameters:
- Creating calculated fields and using them for custom calculations and aggregations.
- Understanding the use of parameters for dynamic analysis and visualization control.
- Implementing advanced calculations and logic within Tableau.
- Data Blending and Advanced Data Preparation:
- Blending data from multiple sources for comprehensive analysis.
- Handling complex data relationships and hierarchies.
- Applying advanced data preparation techniques using Tableau’s data modeling capabilities.
- Statistical Analysis with Tableau:
- Exploring statistical techniques within Tableau for data analysis.
- Performing statistical calculations, hypothesis testing, and correlations.
- Incorporating statistical indicators into visualizations for data-driven insights.
- Presenting Insights and Storytelling with Data:
- Creating compelling data stories and narratives using Tableau.
- Designing effective presentations and reports to communicate insights.
- Leveraging Tableau’s features for interactive presentations and storytelling.
Throughout the course, participants will engage in hands-on exercises, projects, and case studies to reinforce the concepts and apply the learned techniques to real-world scenarios.
The course aims to provide a comprehensive understanding of data analytics and visualization using Tableau, from data preparation to advanced visualization techniques, empowering participants to derive valuable insights and effectively communicate them through impactful visualizations.
The Key Objectives of Learning Data Visualization With Tableau is to have a solid understanding of Tableau, and its data analysis, visualization and story telling capabilities.
By attending this practical course on Tableau visualization in Singapore, you will be able to:
- Understand the fundamentals of data analytics and visualization.
- Learn how to navigate the Tableau interface and utilize its various tools.
- Acquire skills to import, clean, and transform data for analysis.
- Explore different visualization techniques and best practices.
- Create interactive dashboards and reports to communicate insights effectively.
- Gain proficiency in using Tableau’s advanced features, such as calculated fields, parameters, and data blending.
- Apply statistical techniques and perform data modeling using Tableau.
- Develop the ability to present data-driven insights to stakeholders.
- Do Visual Story Telling from the Tableau Dashboards effectively.
While there are no strict prerequisites for this course, a basic understanding of data concepts and familiarity with spreadsheet software would be beneficial. Additionally, having some exposure to data analysis or visualization tools would help you grasp the concepts more efficiently.
To attend the Tableau course, participants are expected to meet the following prerequisites:
Basic Computer Skills: It is essential to have a fundamental understanding of computer operations, including file management, navigating through software applications, and using input devices such as a keyboard and mouse.
Proficiency in English: The course is conducted in English, so participants should have a good command of the language to understand the training materials, communicate effectively, and actively participate in discussions.
Interest in Data Analysis: While no specific technical background is required, an interest in analyzing data and deriving insights from it is beneficial. A curiosity and eagerness to learn about data visualization and analytics will contribute to a more engaging and rewarding learning experience.
Familiarity with Spreadsheet Software: Although not mandatory, having some familiarity with spreadsheet software such as Microsoft Excel or Google Sheets can be advantageous. This prior knowledge will help participants understand basic data manipulation concepts and ease their transition into Tableau.
Please note that the Tableau course is designed to accommodate participants with varying levels of experience and expertise. Whether you are a beginner or have prior knowledge of data analysis, our trainers will guide you through the course, ensuring everyone can grasp the concepts and skills taught.
If you have any further questions or concerns, please feel free to reach out to our team, and we will be happy to assist you.
We look forward to welcoming you to the Tableau course in Singapore and helping you enhance your data visualization and analysis capabilities.
The target audience for the Data Analytics and Visualization with Tableau course includes:
Professionals looking to enhance their data analysis skills: Individuals who are already working in roles such as data analysts, business analysts, or data scientists and want to develop expertise in data visualization and analysis using Tableau.
Business Intelligence Professionals: Professionals involved in business intelligence, reporting, or data visualization roles who want to expand their skill set by learning Tableau and leveraging its advanced features for data analysis and visualization.
Students and Graduates: Students pursuing degrees in fields such as data science, business analytics, or any discipline that involves working with data. This course can provide them with a strong foundation in data analytics and visualization using Tableau.
Managers and Decision-makers: Managers and decision-makers who need to work with data and want to gain insights to make informed decisions. This course will enable them to understand data visualization concepts and effectively communicate with data analysts.
Aspiring Data Professionals: Individuals who are interested in starting a career in the field of data analytics and visualization. This course will provide them with the necessary skills to begin their journey and build a solid foundation in data analysis using Tableau.
It’s important to note that while the course is designed to accommodate beginners, some familiarity with data concepts and spreadsheet software can be beneficial. However, individuals with varying levels of experience and backgrounds can benefit from the course content and practical exercises.
Post-Course Support
- We provide free consultation related to the subject matter after the course.
- Please email your queries to training@intellisoft.com.sg and we will forward your queries to the subject matter experts.
Venue:
All courses are conducted at Intellisoft Training Rooms at 190 Middle Road, 10-08 Fortune Centre, Singapore 188979.
Short walk from Bencoolen MRT, Bugis, Rochor, Bras Basah MRT stations. The venue is disabled-friendly. For directions, click Contact Us.
The Key Objectives of Learning Data Visualization With Tableau is to have a solid understanding of Tableau, and its data analysis, visualization and story telling capabilities.
By attending this practical course on Tableau visualization in Singapore, you will be able to:
- Understand the fundamentals of data analytics and visualization.
- Learn how to navigate the Tableau interface and utilize its various tools.
- Acquire skills to import, clean, and transform data for analysis.
- Explore different visualization techniques and best practices.
- Create interactive dashboards and reports to communicate insights effectively.
- Gain proficiency in using Tableau’s advanced features, such as calculated fields, parameters, and data blending.
- Apply statistical techniques and perform data modeling using Tableau.
- Develop the ability to present data-driven insights to stakeholders.
- Do Visual Story Telling from the Tableau Dashboards effectively.
The target audience for the Data Analytics and Visualization with Tableau course includes:
Professionals looking to enhance their data analysis skills: Individuals who are already working in roles such as data analysts, business analysts, or data scientists and want to develop expertise in data visualization and analysis using Tableau.
Business Intelligence Professionals: Professionals involved in business intelligence, reporting, or data visualization roles who want to expand their skill set by learning Tableau and leveraging its advanced features for data analysis and visualization.
Students and Graduates: Students pursuing degrees in fields such as data science, business analytics, or any discipline that involves working with data. This course can provide them with a strong foundation in data analytics and visualization using Tableau.
Managers and Decision-makers: Managers and decision-makers who need to work with data and want to gain insights to make informed decisions. This course will enable them to understand data visualization concepts and effectively communicate with data analysts.
Aspiring Data Professionals: Individuals who are interested in starting a career in the field of data analytics and visualization. This course will provide them with the necessary skills to begin their journey and build a solid foundation in data analysis using Tableau.
It’s important to note that while the course is designed to accommodate beginners, some familiarity with data concepts and spreadsheet software can be beneficial. However, individuals with varying levels of experience and backgrounds can benefit from the course content and practical exercises.
Course Outline For Data Analytics & Visualization With Tableau for Visual Story Telling
- Introduction to Data Analytics and Visualization:
- Overview of data analytics and its importance.
- Introduction to data visualization concepts and best practices.
- Understanding the role of Tableau in data analytics and visualization.
- Getting Started with Tableau:
- Familiarization with the Tableau interface and its key components.
- Connecting to data sources, including spreadsheets, databases, and files.
- Exploring Tableau’s data connection options and capabilities.
- Data Preparation and Cleaning:
- Importing and loading data into Tableau.
- Understanding data types, formatting, and data quality issues.
- Applying data cleaning and transformation techniques within Tableau.
- Exploring Data Visualization Principles:
- Introduction to key principles of data visualization.
- Understanding data visualization types and when to use them.
- Exploring visual encodings, color schemes, and labeling techniques.
- Creating Basic Charts and Graphs:
- Building foundational visualizations such as bar charts, line charts, and scatter plots.
- Customizing visualizations with filters, sorting, and grouping.
- Applying basic calculations and aggregations to create meaningful visual representations.
- Designing Interactive Dashboards:
- Understanding dashboard design principles and user experience considerations.
- Building interactive dashboards by combining multiple visualizations.
- Incorporating interactivity through filters, parameters, and actions.
- Advanced Visualization Techniques:
- Exploring advanced visualization options, including heat maps, treemaps, and box plots.
- Utilizing Tableau’s mapping capabilities to create geographic visualizations.
- Applying advanced formatting and design techniques to enhance visual appeal.
- Working with Calculated Fields and Parameters:
- Creating calculated fields and using them for custom calculations and aggregations.
- Understanding the use of parameters for dynamic analysis and visualization control.
- Implementing advanced calculations and logic within Tableau.
- Data Blending and Advanced Data Preparation:
- Blending data from multiple sources for comprehensive analysis.
- Handling complex data relationships and hierarchies.
- Applying advanced data preparation techniques using Tableau’s data modeling capabilities.
- Statistical Analysis with Tableau:
- Exploring statistical techniques within Tableau for data analysis.
- Performing statistical calculations, hypothesis testing, and correlations.
- Incorporating statistical indicators into visualizations for data-driven insights.
- Presenting Insights and Storytelling with Data:
- Creating compelling data stories and narratives using Tableau.
- Designing effective presentations and reports to communicate insights.
- Leveraging Tableau’s features for interactive presentations and storytelling.
Throughout the course, participants will engage in hands-on exercises, projects, and case studies to reinforce the concepts and apply the learned techniques to real-world scenarios.
The course aims to provide a comprehensive understanding of data analytics and visualization using Tableau, from data preparation to advanced visualization techniques, empowering participants to derive valuable insights and effectively communicate them through impactful visualizations.
While there are no strict prerequisites for this course, a basic understanding of data concepts and familiarity with spreadsheet software would be beneficial. Additionally, having some exposure to data analysis or visualization tools would help you grasp the concepts more efficiently.
To attend the Tableau course, participants are expected to meet the following prerequisites:
Basic Computer Skills: It is essential to have a fundamental understanding of computer operations, including file management, navigating through software applications, and using input devices such as a keyboard and mouse.
Proficiency in English: The course is conducted in English, so participants should have a good command of the language to understand the training materials, communicate effectively, and actively participate in discussions.
Interest in Data Analysis: While no specific technical background is required, an interest in analyzing data and deriving insights from it is beneficial. A curiosity and eagerness to learn about data visualization and analytics will contribute to a more engaging and rewarding learning experience.
Familiarity with Spreadsheet Software: Although not mandatory, having some familiarity with spreadsheet software such as Microsoft Excel or Google Sheets can be advantageous. This prior knowledge will help participants understand basic data manipulation concepts and ease their transition into Tableau.
Please note that the Tableau course is designed to accommodate participants with varying levels of experience and expertise. Whether you are a beginner or have prior knowledge of data analysis, our trainers will guide you through the course, ensuring everyone can grasp the concepts and skills taught.
If you have any further questions or concerns, please feel free to reach out to our team, and we will be happy to assist you.
We look forward to welcoming you to the Tableau course in Singapore and helping you enhance your data visualization and analysis capabilities.
Post-Course Support
- We provide free consultation related to the subject matter after the course.
- Please email your queries to training@intellisoft.com.sg and we will forward your queries to the subject matter experts.
Venue:
All courses are conducted at:
190 Middle Road, 10-08 Fortune Centre, Singapore 188979. 5 mins walk from Bencoolen MRT station. Bugis, Rochor, Bras Basah MRT are nearby, within walking distance.
The venue is disabled-friendly.
SkillsFuture Ready
Singaporeans can use $500 SkillsFuture Credits for this training to offset the course fees.
Contact us for advise on how to go about claiming your SkillsFuture.
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How To Register
Register For Analyze and Visualize Data With Python Training in Singapore.
- Call us at +65 6250-3575, SMS / WhatsApp: +65 9066–9991
- Send an email to training@intellisoft.com.sg OR
- Submit an online enquiry if you have any questions regarding Analyze and Visualize Data With Python training.
Note: This class is a very practical, and hands-on workshop session. It requires you to take part in a lot of exercises during the class. A laptop with the required software pre–loaded is provided to each participant for use during this workshop.
Join Python class in Singapore today, and learn the Fundamentals of Python Data Analysis easily, with step by step instructions, and helpful, patient, Certified Trainers to guide you.
We also provide Corporate Training on Analyze and Visualize Data With Python in Singapore, and Asia, provided you have a group of participants wanting to learn Python Data Analysis.