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Get Data Science & AI skills mastery from personalized mentoring by industry expert and immersive real-world project with up to 90% funding
Why pursue a career as a Data Science Specialist?
Asia Pacific spending on Big Data and Data Analytics solutions will reach $42.2 billion in 2023, close to a 20% increase from 2022*. It is expected this growth will continue year on year owing to the incremental demand of organisations making data-driven decisions every day.
This has resulted in a continuous demand for data science professionals who are responsible to turn those spending into tangible and impactful business outcomes.
IDC
Course Overview
This program equips learners with in-demand skills in Data Science and Artificial Intelligence, blending theory with hands-on application. Learners gain proficiency in Python programming, data analysis, and visualization using tools like Pandas, NumPy, Matplotlib, and Seaborn, while mastering machine learning techniques with scikit-learn and TensorFlow. Advanced modules introduce computer vision with OpenCV and generative AI tools such as ChatGPT.
Beyond technical knowledge, the course emphasizes practical deployment and real-world impact. Learners build and deploy AI models on cloud platforms like Azure, and explore productivity solutions with Microsoft Copilot, Power Virtual Agent, and Copilot Studio, preparing them for future-ready digital careers.
Apply data analytics techniques to preprocess, analyze, and visualize real-world datasets for actionable insights.
Understand supervised and unsupervised methods, including model development, evaluation, and practical applications.
Explore deep learning with neural networks and CNNs, and apply computer vision techniques using OpenCV.
Analyze capabilities and use cases of generative AI models like ChatGPT for real-world problem-solving.
Plan, design, and execute data-driven and AI projects from concept to cloud-based deployment through capstone projects.
Master these tech tools
Data Science Associate
($2,800 to $3,000)
2-5 years
Data Scientist
($6,000 to $9,500)
>8 years
Principal Data Scientist
(>$12,000)
Source: PayScale, Glassdoor, and prevailing employment market rates
Future-ready your career as a Data Science Specialist to achieve growth in the digital economy
With the mastery of data science and AI skills, you could take on the role of a Data Science Specialist and be responsible for using programming languages like Python to extract, transform, and load data for analysis and modeling. You will also be well versed in AI development, building and training machine-learning tools to solve specific business problems, develop predictive models to forecast future trends and apply statistical analysis to validate hypotheses. You are also a data visualisation expert who can use data visualisation tools and techniques to communicate insights effectively.
Your work of analysing and interpreting data will enable business decisions to have a higher probability rate of success.
You will go through a 4-month part-time skills mastery pathway on a schedule that is built for busy professionals to attain work-study-life balance. Our job placement assistance will enable you to get into a data science job role after training completion.
Build a solid grasp of machine learning principles, deep learning architectures (e.g. CNNs), and computer vision via OpenCV. Master the use of generative AI models (like ChatGPT), develop AI projects end-to-end, and deploy intelligent solutions in real-world settings.
What You’ll Learn
- Data Analytics & Visualization
- Principles of Machine Learning
- Data Science Essentials
- Capstone Project – Data Science & AI
You also have the option to enhance your AI skills by going through a 4-month part-time AI skills mastery pathway
Master data analytics and visualization with Python, learn machine learning techniques (classification, regression, ensembles), deploy models using Azure, and complete a capstone project to solve real-world problems.
What You’ll Learn
- Applied Machine Learning
- Applied Python Programming
- Deep Learning
- Generative AI
Build a solid grasp of machine learning principles, deep learning architectures (e.g. CNNs), and computer vision via OpenCV. Master the use of generative AI models (like ChatGPT), develop AI projects end-to-end, and deploy intelligent solutions in real-world settings.
Awarded by:
You also have the option to enhance your AI skills by going through a 4-month part-time AI skills mastery pathway
Master data analytics and visualization with Python, learn machine learning techniques (classification, regression, ensembles), deploy models using Azure, and complete a capstone project to solve real-world problems.
Awarded by:
Personalized, work-integrated & outcome-based learning journey to enable you to perform from day one of your new career
We designed our competency-based curriculum in alignment with Singapore’s skills framework for bridging digital skills gap to develop future ready talents with job specific knowledge, skills & abilities.
We adopt 70:20:10 work-integrated learning with industry experts mentoring on real-world projects to help learners obtained work-ready skills.
We deliver blended learning involving self-paced e-learning, live flipped classes, and project mentoring for a personalized learning journey to create work-study-life balance and learning efficiency.
We adopt 70:20:10 work-integrated learning with industry experts mentoring on real-world projects to help learners obtained work-ready skills.
We deliver blended learning involving self-paced e-learning, live flipped classes, and project mentoring for a personalized learning journey to create work-study-life balance and learning efficiency.
Job Placement Assistance
More than 10 years of proven track record. Database of over 2,000 employers. More than 100 active hirers at any point in time.
Career Builder Workshop
Get resume-building skills, interview coaching, and industry insights to prepare yourself for the interviews ahead.
1-to-1 Career Coaching
Receive personalized coaching to perfect your interview techniques and to plan and align your career aspirations with upcoming job opportunities.
Review of Career Development Resources
Curate job search and interview resources to ensure readiness before the commencement of job-seeking activities
Recruitment Activities and Interviews
Connect with our active pool of hiring employers through a mixture of physical recruitment drives, employers networking sessions, and online AI job matching to secure your digital job role.
Get employed by our hiring partners
Our Learners' Reviews
Real Stories. Real Struggles. Real Success.
by Lithan Academy
Welcome to our Learner Success Stories playlist — a collection of inspiring journeys from….more
Frequently Asked Question
Yes, our training programmes are mapped onto the Skills Framework (SFw). This is a national framework that companies are using to develop human resource capabilities that include the development of job profiles, recruitment and interview checklists among many others.
Our job placement assistance backed by more than 10 years of track record has helped an average of over 500 locals to transit to high-growth digital jobs each year, but we do not guarantee any job placement. We provide assistance that improves your chances of securing your desired digital job.
We have worked with thousands of hiring companies over the past decade and at any point in time should have more than 100 active hiring companies which consist of both SMEs & MNCs across multiple sectors.
Some of our employers preferred younger candidates and we also have employers who preferred mature ones. These employers recognised that mature candidates would cherish employment opportunities more than the younger ones and be more responsible and reliable at work.
Exemption will be on a case-by-case basis but largely for learners who already have the same certifications residing within our programmes.
Our intakes vary throughout the year. with us to get the details for the latest upcoming intakes.
The timing of the part-time training sessions is 7pm to 10pm, around 2 to 3 sessions per week. Please take note that there are self-learning components outside the training sessions which need an additional commitment of hours per week.
Hardware: Intel i5 or equivalent, 8 GB RAM, 500GB HDD. Operating System: Microsoft Windows 7. Application: Microsoft Office 2010, Google Chrome and Internet Explorer. Newer version of the above specifications is highly recommended.
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