PROFESSIONAL CERTIFICATE IN DATA SCIENCE

Take the first step towards a more rewarding career  in data science. Join UTMBDC Professional Certificate  program and gain the experties needed to thrive  on today’s data driven

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CAPSTONE PROJECT

MODULES:

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Introduction to the Capstone Project and problem formulation

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Projet Understanding

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Conceptual Design

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Working Prototype

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Reporting

Our 9 Courses

COURSE LEVEL BEGINER, INTERMEDIATE & ADVANCED

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INTRODUCTION TO DATA SCIENCE

In this course, participans will learn the concepts and fundamentals of  Data Science. Participants also find an overview of data science applications, tools and techniques, plus information on what data scientists do and the skill they need.

Beginner

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Methodology and Tools For Data Science

In this course, participants will learn the basics of Data Scientist tools, programming and methodology. Participant will introduce to phyton laguage, SQL, open source tool and data sets.                                                                                             

Beginner

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Statistic For Data Science

In this course participant will learn the basic principles of statistical methods and procedures used for data analysis. Participant will take a hands-on approach to statitistical analysis, including summarizing data.

Beginner

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Python Basic For Data Science

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Intermediate

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Analytics For Data Science

In this course participant will teach participants how to analyze data using Python. This course will proceed from Python fundamentals through exploring numerous data types . Participants will learn to prepare data for analysis , conduct basic statistical analysis, introduce data visualizations, and predict future trend.

Intermediate

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Database For Data Science

In this course participants will be exposed to the theory and practical of database and SQL with Python.Participants will be experiencing working with real databases real data science tools, and real-world  datasets, creating a database instatnce in the cloud, buld and running SQL queries

Advanced

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Visualization For Data Science

In this course participant will be exposed to different types of Python libraries and packages to visualize data in the data science workflow learn the basic principles of statistical methods and procedures used for data analysis.

Advanced

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Machine Learning For Data Science

 This course will introduce the fundamentals of machine learning. Then, the participants will dive into supervised and unsupervised learning and learn how to implement these techniques in Python using the Scikit-learn library.

Advanced

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Deep Learning For Data Science

The particpant will explore specifically convolutional neutral networks, understanding the applications of CNN and how to implement CNN using Keras and Tensorflow library in Python through a series of practical examples.

Advanced

Testimonials

“I really explore how beauty of data science, this programm really equip me with in-depth skills in data analysis, predictive modelling and data into valuable insight .”

Abdul Raof

Research Ecosystem
Universiti Teknologi Malaysia UTM Nexus - Research & Innovation

Office of Deputy Vice Chancellor (Research & Innovation)

DVCRI Profile Johor Bahru Office Kuala Lumpur Office

Higher Institution Centre of Excellence (HI-COE)

Advance Membrane Technology Research Centre - AMTEC Institute of Noise & Vibration - INV Wireless Communication Centre - WCC

Research Institute

Centre of Excellence (COE)

Institute of High Voltage & High Current - IVAT UTM-MPRC Institue for Oil & Gas - IFOG Centre for Artificial Intelligence & Robotics - CAIRO Centre for Engineering Education - CEE Centre for Advanced Composite Materials - CACM Innovation Centre in Agritechnology for Advanced Bioprocessing - ICA Institute of Bioproduct Development - IBD

Service Entity

Research Management Centre - RMC Penerbit UTM Press Centre for Community & Industry Network - CCIN Innovation & Commercialisation Centre - ICC University Laboratory Management Centre - PPMU Institut Sultan Iskandar - UTM-ISI

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