DSF576

Data Science for Non-Data Scientists: Complete Training Program

Q: What will I learn in this Data Science course?

This comprehensive 5-day course covers fundamental data science concepts including different types of data, business intelligence, data analytics, artificial intelligence, and machine learning. You'll gain hands-on experience with tools like Orange 3 and Tableau Prep for data preparation, learn about supervised, unsupervised, and reinforcement learning techniques, and develop foundational knowledge in discrete mathematics, linear algebra, calculus, probability, and statistics essential for data science applications.

Q: What are the prerequisites for this course?

This is a beginner-level course designed for non-data scientists, so no prior data science experience is required. However, having an undergraduate-level education and basic mathematical understanding would be beneficial. The course is specifically tailored for entry-level professionals and engineers who want to enter the data science field.

Q: Who is this course designed for?

This course is specifically designed for non-data scientists, including entry-level professionals and engineers who want to understand and apply data science concepts in their work. It's perfect for business professionals, analysts, project managers, and technical professionals who need to work with data or collaborate with data science teams but don't have a formal background in the field.

Q: What tools and technologies will I learn to use?

You'll gain practical experience with key data science tools including Orange 3 for data analysis and machine learning, and Tableau Prep for data preparation and cleansing. The course emphasizes hands-on learning with these industry-standard tools to ensure you can effectively handle real-world datasets and perform data analysis tasks.

Q: How is the course structured and what teaching methods are used?

This 5-day course combines multiple teaching methodologies including lectures for theoretical concepts, slide presentations for visual learning, and hands-on labs for practical application. This blended approach ensures you not only understand the theory behind data science but also gain practical experience working with real datasets and tools.

Q: Will I receive a certification upon completion?

This course does not include a formal certification. However, you will gain comprehensive knowledge and practical skills in data science fundamentals that will enhance your professional capabilities and prepare you for further specialization in the field or collaboration with data science teams.

Q: What career opportunities can this course help me explore?

This course provides insights into various career paths within data science, helping you understand roles in business intelligence, data analytics, machine learning, and AI applications across different industries. While designed for non-data scientists, the foundational knowledge gained can help you transition into data-focused roles or enhance your current position by incorporating data-driven decision making.

Q: Where is the training conducted?

Our online trainings are conducted usually using Zoom or Google Meet. Our physical trainings are normally held in Common Ground, Bangsar South .

Q: Can international participants join this course?

Please check the Available in section to see which countries the course is available in. If your country is not listed, please contact us.

Q: What is the difference between public, corporate, and training provider pricing?

Public pricing : applies for individuals signing up from different companies. Corporate pricing : applies if a company wants to have an intake for its employees only. Training provider pricing : applies only for other training providers looking to hire our trainers and use our content. Our content has a licensing fee.

Unlock the power of data with our comprehensive training program designed specifically for non-data scientists. Dive into the world of data science under expert guidance and acquire essential skills in business intelligence, machine learning, and analytics. Transform your career by mastering cutting-edge tools and methodologies tailored to meet industry demands. Enroll now to elevate your professional journey with unparalleled expertise.

Available in:
Malaysia

Face-to-Face Sep 14-18, 2026 9:00 AM - 5:00 PM Tasmeea Rahman

Created: December 21st 2020, 3:32 PM MYT Last Modified: September 2nd 2026, 6:01 AM MYT

updated

beginner

We price match

Public Pricing

MYR 8750

Corporate Pricing

Pax:

Training Fees: MYR 6500/day

Total Fees: MYR 32500 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2400/day

Material Fees: MYR 400

Total Fees: MYR 12400 ++

Features

5 days

40 modules

English

Technical: 25 pax

Target Audience

students

engineers

Methodologies

lecture

slides

labs

Subsidies

What you'll learn

Explore various disciplines within data science including business intelligence and analytics.
Understand how to prepare and cleanse datasets effectively for analysis.
Understand the fundamental concepts of data science and its evolution.
Develop practical skills in using data science tools such as Orange 3 and Tableau Prep.
Learn about different types of machine learning techniques including supervised and unsupervised learning.
Gain insights into artificial intelligence and machine learning applications.
Acquire foundational knowledge in discrete mathematics, linear algebra, calculus, probability, and statistics.
Explore career opportunities available within the field of data science.

TTT Certificate

TTT Accreditation

Tasmeea Rahman is a highly accomplished corporate trainer and academic professional with a unique blend of technical expertise and pedagogical excellence. Currently pursuing her PhD in Project Management with a focus on Energy Management in the electrical power industry at Universiti Putra Malaysia, she maintains an exceptional 4.00/4.00 CGPA while actively contributing to the professional training landscape. With extensive experience as a Freelance Corporate Trainer since 2023, Tasmeea specializes in delivering comprehensive training programs across multiple domains. Her training portfolio encompasses advanced data analytics tools including Python, Power BI, Minitab, Jaspersoft, Apache Superset, and TIBCO Spotfire, as well as machine learning applications. She also excels in teaching engineering design software such as AutoCAD, Autodesk Fusion 360, Solid Edge, and Autodesk 3Ds Max for both 2D and 3D electrical and mechanical designs. Her project management training capabilities further complement her diverse skill set. Her academic credentials are impressive, holding a Master of Engineering Management from Universiti Putra Malaysia (CGPA: 3.713/4.00), an MBA in Marketing from the University of Dhaka (CGPA: 3.61/4.00), and a Bachelor's degree in Electrical and Electronics Engineering. This multidisciplinary educational background enables her to bridge technical concepts with business applications effectively. As an Adjunct Lecturer at Leading University, she demonstrated her ability to develop curricula and deliver engaging lectures on complex electrical and electronics subjects, including VLSI design, digital signal processing, and microprocessor systems. Tasmeea's research contributions are noteworthy, with publications in high-impact journals including a first-author paper in Renewable and Sustainable Energy Reviews (Q1, Impact Factor: 15.9) and co-authored works in IEEE Access. She holds a Train the Trainer Certification from HRD Corp Malaysia and is certified in Agile Project Management by Google. Her technical proficiency spans programming languages like Python and C++, engineering software including MATLAB and CISCO Packet Tracer, and various data analytics platforms. With her combination of industry experience, academic rigor, and certified training expertise, Tasmeea delivers practical, industry-relevant training that empowers professionals to excel in their respective fields.

8 Students

91 Courses

8 Years

( 3 ratings )

100%

( 3 reviews )

Instructor

Dr. Esther Suria Kala ICT & Cybersecurity Training Expert

Trainer Profile

TTT Certificate

Dr. Esther Suria Kala is a highly accomplished ICT consultant and corporate trainer with nearly 30 years of extensive experience in information technology, project management, and organizational development. As the founder of Angel Software Solutions, she has established herself as a versatile and dedicated professional who delivers cutting-edge training solutions across Malaysia and internationally.

Her academic credentials are exceptional, including a PhD in Psychology with a focus on Human Behaviour and Human Resources, an MBA in Finance, and degrees in both Computer Science and Human Resources. Currently pursuing a second PhD in IT Information Security, Dr. Esther demonstrates an unwavering commitment to continuous learning and staying at the forefront of technological advancement. Her educational foundation is complemented by an impressive array of professional certifications, including Microsoft Certified Trainer (MCT), CISSP, ITIL, SAP Certified Associate, Certified Cyber Security Professional, Data Scientist, AI Engineering, and ECBA certifications.

Dr. Esther's technical expertise spans an extensive range of domains, from traditional programming languages like Java, C++, and PHP to modern technologies including Python, AI coding, machine learning, RPA, and IR 4.0 microservices. She is proficient in database management systems including Microsoft SQL Server and Oracle, web development frameworks, and enterprise solutions like SAP Crystal Reports and SharePoint Server. Her knowledge extends to cybersecurity, ethical hacking, network administration, and data analytics, making her uniquely qualified to address both technical and strategic business challenges.

As a trainer, Dr. Esther excels in bridging the gap between technical complexity and practical application. She delivers comprehensive training programs for both IT and non-IT professionals, covering everything from software development and cloud computing to soft skills such as digital marketing, business analysis, customer service, and project management. Her ability to communicate effectively in both English and Bahasa Malaysia enables her to connect with diverse audiences across different organizational levels.

Her impressive client portfolio includes leading organizations such as Maybank, Telekom Malaysia, Malaysian Airlines, Tenaga Nasional Berhad, Bank Negara, Ministry of Education, Ministry of Finance, and numerous multinational corporations. This extensive experience across banking, telecommunications, government, aviation, and technology sectors demonstrates her adaptability and deep understanding of varied industry requirements. Recognized with the Outstanding Achievement Award in Information Technology from University Malaya in 2013, Dr. Esther continues to empower organizations through innovative training solutions that drive digital transformation and professional excellence.

225 Courses

English, Malay, Hindi, German, Tamil

30 Years

( 0 ratings )

( 0 reviews )

Instructor

Mohammed Al-obaydee AI & Data Science Expert

Trainer Profile

TTT Certificate

Dr. Mohammed Al-Obaydee is a distinguished academic and industry professional with extensive expertise in artificial intelligence, machine learning, deep learning, and data science. As an Adjunct Associate Professor at Taylor's University Malaysia and a certified Train the Trainer professional, he brings a unique blend of academic rigor and practical industry experience to his teaching and consulting engagements. With a Ph.D. in Information Science from Universiti Kebangsaan Malaysia (UKM) and over two decades of experience spanning academia and industry, Dr. Al-Obaydee has established himself as a leading authority in advanced computing technologies. His research excellence is evidenced by multiple best paper awards, including recognition at IEEE ACSAT2014 and ITNG 2023 conferences, along with an impressive publication record featuring over 149 citations and an h-index of 6. His research focuses on medical image analysis, computer vision, machine learning applications, and deep learning techniques. As a founder of INNOEYETIVE and AIC4ALL, Dr. Al-Obaydee demonstrates entrepreneurial acumen in leveraging AI and immersive technologies for digital transformation. His industry experience includes successful training and consultation projects with major corporations such as HSBC Bank, OCBC Bank, DELL Malaysia, Amway Malaysia, and EtiQa, where he has delivered specialized programs in data science, analytics, and applied AI engineering. His ability to bridge the gap between theoretical concepts and practical applications makes him an exceptional trainer for professionals seeking to upskill in emerging technologies. Dr. Al-Obaydee's teaching portfolio encompasses a comprehensive range of subjects including Machine Learning, Deep Learning, Data Analytics, Data Engineering, Parallel Computing, and Advanced Data Structures. He has supervised numerous master's students and research projects at both Taylor's University and the International Islamic University Malaysia (IIUM), focusing on cutting-edge topics such as deep reinforcement learning, medical image classification, fraud detection, and natural language processing. His international speaking engagements and extensive training experience across multiple organizations demonstrate his exceptional communication skills and ability to make complex technical concepts accessible to diverse audiences.

113 Courses

English

21 Years

( 0 ratings )

( 0 reviews )

Instructor

Uzair Aslam Senior Data Scientist & ML Expert

Trainer Profile

TTT Certificate

TTT Accreditation

Uzair Aslam is an accomplished Data Scientist with extensive expertise in machine learning, artificial intelligence, and advanced analytics. With a proven track record of delivering transformative data-driven solutions across the financial services and telecommunications sectors, he brings a unique combination of technical excellence and business acumen to every project. Currently serving as AVP - Senior Data Scientist at Maybank, Uzair has spearheaded the development of cutting-edge fraud detection models that have revolutionized risk management processes. His innovative machine learning solution reduced false positive review time by 75%, saving approximately 2,940 man hours and significantly improving operational efficiency. He has successfully engineered sophisticated fraud detection systems combining Computer Vision and Natural Language Processing, utilizing OCR technology for document analysis and anomaly detection. His leadership extends to managing cross-functional teams and developing automated business intelligence solutions, including news web-scraping applications for risk event monitoring across the Asia Pacific region. Uzair's professional journey includes valuable experience as a Specialist Data Scientist at The CADS, where he provided strategic advisory services to major international clients including Petronas, Shell, and CIMB. His consulting expertise focuses on translating complex business requirements into actionable data science use cases. He has also demonstrated exceptional training capabilities, delivering corporate training programs on Machine Learning, Deep Learning, and Natural Language Processing to diverse professional audiences. With a Master's degree in Data Science & Business Analytics from Asia Pacific University (achieved with Distinction) and a Bachelor's in Electronics Engineering, Uzair possesses a solid academic foundation complemented by numerous industry certifications. His technical proficiency spans Python, R, SQL, Spark, SAS, and HiveQL, along with expertise in modern data science platforms including Tableau, Power BI, DataRobot, H2O.ai, and Dataiku. His project portfolio demonstrates versatility across fraud detection, credit scoring, opinion spam detection, electricity load forecasting, and neural network applications, showcasing his ability to apply advanced statistical and machine learning concepts to solve real-world business challenges.

58 Courses

English

10 Years

( 0 ratings )

( 0 reviews )

Instructor

Koong Wah Yan Wayne AI Transformation Specialist

Trainer Profile

TTT Accreditation

Ts. Koong Wah Yan (Wayne) is a distinguished Technology Executive and AI Transformation Specialist with over 25 years of pioneering experience in digital innovation across FinTech, AdTech, and Public Sectors. As a certified AI Governance Professional and seasoned technology leader, Wayne combines deep technical expertise in artificial intelligence, data science, and enterprise architecture with proven leadership capabilities in delivering mission-critical systems and establishing robust AI governance frameworks. Wayne's extensive industrial profile includes executive roles as Head of R&D at Innity Bhd, CIO and Software Development Manager at Wiseyes Group, Head of IT Operations at SOCSO, Data Migration Lead at MIMOS, and CRM Architect for prestigious organizations including IBM, MBB, and CIMB. His academic credentials include an MBA from University of South Australia, a Bachelor of Information Technology from Universiti Kebangsaan Malaysia, and specialized certifications in AI Governance (IAPP), Data Science (HarvardX), ISO27001 Lead Implementation, and ITIL Foundation. As a professional trainer, Wayne has delivered transformative learning experiences to over 500 professionals across diverse organizations. His training portfolio spans Machine Learning in Python workshops for engineers, Generative AI application sessions, Object-Oriented Programming training for Fortune 500 companies, and Business Intelligence tools training. Wayne's unique methodology combines Interactive Learning, Practical Application, and Business Context, creating immersive experiences with real-world case studies and hands-on exercises that consistently achieve 90%+ participant satisfaction rates. Wayne specializes in Digital Transformation with AI, GenAI, ML & Data Science training programs tailored for technical teams, management, and general audiences. His expertise extends to tools-specific training including PowerPoint with AI, Metabase, Google Looker Studio, and SQL for MySQL. Wayne's rare ability to bridge advanced technical concepts with strategic business implementation makes him an invaluable trainer for organizations seeking to accelerate their AI transformation journey while establishing responsible AI governance frameworks.

54 Courses

English, Chinese, Malay

29 Years

( 0 ratings )

( 0 reviews )

Instructor Reviews

Tasmeea Rahman

Data Analytics & Engineering Training Specialist

"Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative."

"Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges."

"The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion."

FAQ

Frequently Asked Questions About This Course

What will I learn in this Data Science course?

What are the prerequisites for this course?

Who is this course designed for?

What tools and technologies will I learn to use?

How is the course structured and what teaching methods are used?

Will I receive a certification upon completion?

What career opportunities can this course help me explore?

Where is the training conducted?

Can international participants join this course?

What is the difference between public, corporate, and training provider pricing?

Do I have to pay right away?

I just enrolled in an intake. Does that mean I can attend the course on that date?

What happens if quorum for an intake is not reached?

Why should you attend?

What you'll learn

Explore various disciplines within data science including business intelligence and analytics.
Understand how to prepare and cleanse datasets effectively for analysis.
Understand the fundamental concepts of data science and its evolution.
Develop practical skills in using data science tools such as Orange 3 and Tableau Prep.
Learn about different types of machine learning techniques including supervised and unsupervised learning.
Gain insights into artificial intelligence and machine learning applications.
Acquire foundational knowledge in discrete mathematics, linear algebra, calculus, probability, and statistics.
Explore career opportunities available within the field of data science.

End of Day 5

Instructor Reviews

Tasmeea Rahman

Data Analytics & Engineering Training Specialist

"Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative."

"Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges."

"The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion."

We price match