DAT591

Dataiku

Q: What will I learn in this Dataiku course?

You will master Dataiku Data Science Studio from the ground up, learning to navigate the platform's interface and core architecture. The course covers practical data preparation techniques, visual transformation tools, data exploration using charts and statistical analysis, flow management, collaboration features including dashboards and reporting, and automation scenarios for production deployment. By the end, you'll be proficient in creating complete data science workflows using this industry-leading platform.

Q: What are the prerequisites for this Dataiku training?

This is a beginner-level course requiring an undergraduate qualification. No prior experience with Dataiku is necessary, but basic familiarity with data concepts and analytical thinking would be helpful. The course is designed for entry-level professionals, engineers, managers, and even those transitioning into data science roles.

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

The course is a comprehensive 2-day training program that combines multiple learning methodologies including lectures, slide presentations, hands-on labs, group discussions, and Q&A sessions. This blended approach ensures you get both theoretical knowledge and practical experience with real-world applications and interactive problem-solving exercises.

Q: Who should attend this Dataiku Data Science Studio course?

This course is ideal for a diverse range of professionals including entry-level data analysts, engineers, mid-level and senior managers looking to understand data science workflows, and even retired professionals seeking to update their skills. Anyone interested in learning data preparation, exploration, and visualization using a powerful, user-friendly platform will benefit from this training.

Q: Will I receive a certification after completing this Dataiku course?

This particular course does not include a formal certification. However, you will gain comprehensive hands-on experience and practical skills in Dataiku Data Science Studio that will significantly enhance your data science capabilities and make you proficient in using this industry-standard platform for analytical projects.

Q: What specific skills will I gain for data preparation and analysis?

You'll master visual recipes for data cleansing and normalization, learn to perform basic transformations and enrichments, manage schemas effectively, and use various data connectors for integration. For analysis, you'll learn to create interactive charts, perform statistical analysis for both univariate and bivariate insights, and conduct comprehensive data exploration using Dataiku's powerful visualization tools.

Q: How does this course prepare me for real-world data science projects?

The course emphasizes practical application through extensive hands-on labs and real-world scenarios. You'll learn to manage complete project workflows, implement collaboration features for team environments, create dashboards and reports for stakeholders, set up automation scenarios for repetitive tasks, and understand project deployment strategies for production environments. This comprehensive approach ensures you're ready to handle end-to-end data science projects in professional settings.

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.

Master data science workflows with Dataiku Data Science Studio under expert guidance. Enroll in our comprehensive training program designed to build proficiency in data preparation, exploration, visualization, and project management using this industry-leading platform for complete analytical excellence.

Available in:
Malaysia

Face-to-Face Mar 10-11, 2026 9:00 AM - 5:00 PM Uzair Aslam

Created: August 27th 2025, 1:48 AM MYT Last Modified: March 2nd 2026, 6:01 AM MYT

updated

beginner

We price match

Public Pricing

MYR 3500

Corporate Pricing

Pax:

Training Fees: MYR 6500/day

Total Fees: MYR 13000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2400/day

Material Fees: MYR 400

Total Fees: MYR 5200 ++

Features

2 days

16 modules

Full life-time access

English

Technical: 25 pax

Target Audience

students

retired

engineers

managers

executives

Methodologies

lecture

slides

labs

group discussion

q&A

Subsidies

What you'll learn

Navigate Dataiku Data Science Studio interface and core architecture components
Implement data connectors and perform cleansing using visual transformation tools
Deploy automation scenarios and bundle projects for production deployment
Manage project flows and utilize collaboration features for team environments
Build interactive charts and conduct statistical analysis for data insights
Create and manage projects with datasets, recipes, and organized workflows

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.

59 Courses

English

10 Years

( 0 ratings )

( 0 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.

226 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.

114 Courses

English

21 Years

( 0 ratings )

( 0 reviews )

FAQ

Frequently Asked Questions About This Course

What will I learn in this Dataiku course?

What are the prerequisites for this Dataiku training?

How long is the Dataiku course and what teaching methods are used?

Who should attend this Dataiku Data Science Studio course?

Will I receive a certification after completing this Dataiku course?

What specific skills will I gain for data preparation and analysis?

How does this course prepare me for real-world data science projects?

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

Navigate Dataiku Data Science Studio interface and core architecture components
Implement data connectors and perform cleansing using visual transformation tools
Deploy automation scenarios and bundle projects for production deployment
Manage project flows and utilize collaboration features for team environments
Build interactive charts and conduct statistical analysis for data insights
Create and manage projects with datasets, recipes, and organized workflows