1. Data Science Foundations and Setup (Week 1)
- •Introduction to the data science course structure
- •Working setup with Python and R
- •Using Anaconda and Jupyter Notebook for practice
- •Understanding the role of data science in analytics and business
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-Recruiters prefer to hire Inventateq Students - Join Inventateq NowPlacements in Data Science: 1,342
Data Science Certification Course in Singapore
Build practical data science skills in Singapore with Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, Apache Spark, Hadoop, Git, Docker, and cloud tools used in real analytics and machine learning work. This data science training in Singapore is structured around hands-on projects, assignments, and job-focused practice.
4.7/5 from 1,432 reviews
Learn Python, R, SQL, and core data handling for analytics work
Work with Pandas, NumPy, Scikit-learn, TensorFlow, Keras, and PyTorch
Use Tableau, Power BI, Excel, and SQL for reporting and dashboards
Train with project work, assignments, certification, and resume preparation
Get guided toward roles like Data Analyst, Data Scientist, and BI Analyst
Job Interview
Guarantee Program
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
Career Gap Fillers
6,400+ (Placed)
Upskilling Success
24,999₹
In 90 Days + Placement
Course Fee:₹24,999
Duration:60 Days
Mode:Classroom & Online
Free Session
1 Hour Training Session
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Placement Assistance for Data Science Professionals in Singapore
Learning data science is only part of the goal. In Singapore, employers look for people who can work with data, explain insights clearly, and handle tools used in analytics and machine learning teams. Inventateq supports that transition with practical placement help built around the roles covered in the course.
Our Signature Career Support:
- Resume preparation for data science, analytics, and BI roles
- Interview practice for SQL, Python, ML, and dashboard-based questions
- Project presentation support so you can explain your work clearly
- Guidance for Data Analyst, Junior Data Scientist, and BI Developer roles
- Placement-oriented mentoring from training through interview stage
Data Science Salary Insights in Singapore
Data science roles in Singapore are hired across IT services, product companies, finance, consulting, e-commerce, and analytics teams. Pay usually grows with project experience, tool depth, and the ability to handle both analysis and machine learning work.
Data Science Average Salary by Experience
Data Science Salary Insights in Singapore
Data science roles in Singapore are hired across IT services, product companies, finance, consulting, e-commerce, and analytics teams. Pay usually grows with project experience, tool depth, and the ability to handle both analysis and machine learning work.
Data Science Average Salary by Experience
Why Students Choose Our Data Science Course in Singapore?
4.7/5 Google Rating | 1,432+ Verified Reviews
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Success Result: Our students are competing at global levels. Watch their placement journey here.
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About Inventateq Data Science Training Institute in Singapore
Inventateq teaches data science in a practical sequence that starts with Python, SQL, and data handling, then moves into machine learning, deep learning, visualization, and deployment-oriented tools. The course is built around the actual software used in the syllabus, so learners work with notebooks, libraries, dashboards, cloud tools, and project tasks instead of only theory.
We stand apart through our commitment to:
- Build skills in Python, SQL, Pandas, NumPy, and machine learning libraries
- Practice dashboards and reporting with Tableau and Power BI
- Work through project-based training with assignments and guided exercises
- Get support from trainers who explain concepts from the basics
- Attend weekday or weekend batches based on your schedule
Live Online
Remote Learning
AI Online Live Classes
Live online training lets Singapore learners attend the same course from home or office. You still get interactive sessions, practical exercises, mentor support, and project guidance, so the learning remains structured and job-focused.
Live interactive classes with practical coding demonstrations
Recorded sessions available for revision and practice
Weekly assignments with mentor feedback and guidance
Real projects covering Generative AI, LLMs, and Agentic AI
Online career guidance and interview preparation support
Data Science Training Program
Freshers
Good for graduates who want a clear entry into data science, analytics, or BI roles.
Working Professionals
Useful for professionals moving from reporting, support, or operations into data-focused work.
Programmers
Fits developers who want to move into machine learning and data science.
Analysts
Strong fit for Excel, reporting, and dashboard users who want deeper Python and SQL skills.
Non-Technical Learners
Suitable for learners who are ready to start from the basics and build step by step.
Quick Highlights of Inventateq Data Science Course
Course Duration
Mode: Classroom and live online training
Schedule: Weekday and weekend batches
Learning style: Theory, practicals, assignments, and projects
Support: Trainer guidance throughout the course
No prior data science background is required to start.
Data Science Certification Course Curriculum
W1
2. SQL and Database Work (Week 2)
- •Writing SQL queries for data access
- •Working with MySQL and PostgreSQL
- •Understanding how data is stored and retrieved
- •Using database skills for analysis tasks
3. Core Data Handling with Python (Week 3)
- •Python basics for data work
- •Pandas for tables, cleaning, and transformation
- •NumPy for numeric operations
- •Preparing datasets for analysis
4. Visualization and Reporting (Week 4)
- •Using Excel for analysis support
- •Creating dashboards in Tableau
- •Building reports in Power BI
- •Turning data into readable business output
5. Statistics and Analytical Thinking (Week 5)
- •Basic statistical ideas used in data science
- •Reading patterns, trends, and variation in data
- •Applying analysis methods to business datasets
- •Using statistics to support decision-making
6. Machine Learning Fundamentals (Week 6)
- •Introduction to supervised and unsupervised learning
- •Using Scikit-learn for model building
- •Training and evaluating models
- •Understanding common machine learning workflows
7. Deep Learning Tools (Week 7)
- •Working with TensorFlow
- •Building models using Keras
- •Introduction to PyTorch
- •Understanding neural-network-based approaches
8. Big Data and Scalable Processing (Week 8)
- •Introduction to Apache Spark
- •Understanding Apache Hadoop
- •Processing larger datasets efficiently
- •Using scalable tools in analytics environments
9. Project Workflow, Version Control, and Sharing (Week 9)
- •Using Git and GitHub for code tracking
- •Organizing work for assignments and projects
- •Reviewing datasets, code, and outputs together
- •Building a clean project workflow
10. Cloud and Deployment Exposure (Week 10)
- •Introduction to AWS SageMaker
- •Working with Google Cloud Vertex AI
- •Understanding Docker for deployment packaging
- •Getting a basic view of modern cloud-based data science workflows
11. Capstone and Career Preparation (Week 11)
- •Applying the full course stack in a project
- •Practicing presentation of results
- •Resume preparation for job search
- •Interview readiness for data science and analytics roles
Rated 4.9/5
Why Inventateq for Data Science Training in Singapore?
Inventateq keeps the training practical and job-focused. The course moves from fundamentals to tools and projects in a clear order, so you can build confidence in Python, SQL, machine learning, visualization, and deployment basics.
Why Students Trust Inventateq Singapore
- Trainers explain concepts clearly and work from the basics when needed
- Updated course content follows the tools used in the syllabus
- Supportive classroom environment with direct help during practice
- Project-oriented training that connects learning to job roles
- Placement guidance that continues after the training sessions
Build Real Data Science Skills for Singapore Careers
You learn by doing. The course gives you practice with coding, analysis, dashboards, machine learning models, and project presentation so you can handle real entry-level work with more confidence.
Work with Real Data Tools
Practice Python, SQL, Pandas, NumPy, and the core libraries used in data science tasks. This gives you the day-to-day technical base needed for analytics and model-building work.
Build Dashboards and Reports
Create visual outputs in Tableau, Power BI, and Excel. These skills help you present findings clearly to business teams and hiring managers.
Train Machine Learning Models
Learn how to apply Scikit-learn and move into TensorFlow, Keras, and PyTorch for deeper model work. The focus is on understanding the workflow, not just memorizing concepts.
Handle Bigger Data Workflows
Get exposure to Spark and Hadoop so you understand how larger datasets are processed in team environments. This is useful when data grows beyond simple spreadsheets.
Organize Projects Professionally
Use Git and GitHub to keep your work structured and shareable. That helps when you need to show assignments, code samples, and project outcomes.
Prepare for Job Interviews
The course includes resume preparation and interview practice linked to roles like Data Analyst, BI Analyst, and Junior Data Scientist. You leave with better job-readiness, not just course notes.
Certification for Data Science Training
This certification shows that you have completed structured training in data science tools, analytics methods, and machine learning basics. It helps employers see that you have practical exposure to the core skills expected for entry-level data roles.
Python, Pandas, NumPy, and SQL
Earn this certificate upon successful completion of our training program.
Scikit-learn, TensorFlow, Keras, and PyTorch
Validate your skills with recognized industry credentials.
Tableau, Power BI, and Excel
Earn this certificate upon successful completion of our training program.
Detailed Insights: Data Science Training in Singapore
Students Frequently Asked Questions
Is this data science course suitable for beginners in Singapore?
Yes. The course starts with fundamentals and then moves into data handling, SQL, visualization, and machine learning. If you are new to the field, you can still follow the training with regular practice and mentor support.
Will I get hands-on projects in this course?
Yes. The syllabus includes practical work, assignments, and project-based training. You will use the tools covered in the course instead of only reading theory.
Does Inventateq provide placement assistance?
Yes. Placement support includes resume preparation, interview practice, and guidance for data science and analytics roles. The support is tied to the jobs listed in the course, such as Data Analyst, BI Analyst, and Junior Data Scientist.
Can a non-technical background learner join this course?
Yes, if you are willing to start from the basics and practice consistently. The training is built to explain concepts step by step before moving into more advanced tools. Many learners use this route to enter analytics roles from non-technical backgrounds.
Is live online training available for Singapore learners?
Yes. You can attend live online classes from Singapore and still follow the same practical curriculum. This is useful if you want trainer-led sessions without travelling to a classroom.
How long is the course and what is the mode of training?
The course is delivered through classroom and live online modes, with weekday and weekend batches available. Training includes theory, practicals, assignments, certification, and career guidance. The exact pace depends on the batch structure you choose.
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