Certified Associate in Data Analytics

Certified Associate in Data Analytics

Learn the fundamentals of Data Analytics and gain an understanding of the data ecosystem, the process and lifecycle of data analytics, career opportunities, and the different learning paths you can take to be a Data Analyst.

Certified Associate
Certified Associate in Data Analytics
Key summary:
Certified Associate in Data Analytics
2 - 4 months
Intermediate level

Step into the World of Data

Acquire advanced data skills, master Machine Learning & AI, and launch your career as a Data Scientist, Analyst, AI Engineer, Data Manager, and more.

What you will learn

Learn essential data analysis methods and tools
Master Machine Learning and Deep Learning
Create AI solutions and advanced predictive models
Build a solid portfolio and learn to work in a data team

Languages and tools covered

Python Python
Matplotlib Matplotlib
Seaborn Seaborn
Pytorch Pytorch
Pandas Pandas
Numpy Numpy
SciPy SciPy
TensorFlow TensorFlow
Scikit-learn Scikit-learn
Tableau Tableau
Power BI Power BI
Jupyter Notebook Jupyter Notebook
Google Analytics Google Analytics
Google Cloud Google Cloud

Explore our world-class curriculum

Module 1:
Fundamentals of Python
Basic programming concepts
Introduction to Python data processing libraries
Foundations of Pandas
Foundations of Numpy
Module 2:
Fundamentals of SQL
Introduction to SQL
Data queries and analysis
Statements, operations, and aggregation
Module 3:
Data Analysis Processes
Explain how the problem-solving road map applies to typical analysis scenarios
Discuss the use of data in the decision-making process
Module 4:
Data Collection
Web and app data collection
Business data collection
Introduction to Google Analytics
Introduction to Firebase
Module 5:
Data Cleaning
Data management
Define different types of data integrity and identify risks to data integrity
Describe the process of verifying data cleaning results
Module 6:
Data Visualisation and Presentation
Introduction to visualisation toolkits
Fundamentals of Tableau
Fundamentals of Google Data Studio
Insights generation
Data presentation and storytelling
Module 7:
Capstone Project
Apply the practices and procedures associated with the data analysis process to a given set of data
Discuss the use of case studies/portfolios when communicating with recruiters and potential employers.

Meet our course creators

Darren Chiu

Darren Chiu

Technical Consultant

Anthony Chiu

Anthony Chiu

Software Engineer

Peter Chow

Peter Chow

Technical Engineer


Application is currently closed

We're sorry, but we are not taking any applicants for this course at this moment.
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We will help you boost your career

Navigate tech career opportunities with the help of our Career Services team. Get valuable insights on interview skills, CV preparation, and building a professional portfolio - we will be the bridge between you and your future employers.

We have built relationships with hiring managers at top companies across the region, creating a robust employer pipeline for TalentLabs grads. Our team is constantly advocating for our graduates and helping you to secure your dream job.

Hear from our graduates

Goh Jia Ean

The course materials were comprehensive, yet easy to follow. And with the help of TalentLabs, I managed to secure a placement in Nielsen!

Lee Wynn Hann

TalentLabs's programme provided me with all the fundamental knowledge and skills that I needed to kick-start my career in tech.

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