Training Courses

Certified Professional Data Analyst

Master Data Analysis: Get Certified, Get Ahead

COURSE OVERVIEW

Description

Objective:
Equip participants with the essential skills and knowledge to become certified data analysts. The course will cover data analysis fundamentals, practical applications using popular tools, and preparation for the certification exam.

Expected Outcomes:
Participants will gain practical skills in data analysis, hands-on experience with popular tools, and the confidence to pass the certification exam and become certified data analysts.

Develop proficiency in key data analysis tools.
Master techniques for collecting, cleaning, and organising large datasets.
Learn to interpret and analyse data to uncover trends, patterns, and insights.
Build skills in visualising data effectively through charts, graphs, and dashboards.
Understand statistical methods and their application in business decision-making.
Apply data-driven insights to solve real-world business problems.
Enhance the ability to communicate data findings to stakeholders clearly and effectively.
Prepare participants for industry-recognized certification as a Data Analyst.

Suitable For:

Participants who are interested in Data Analyst

Keywords:

Proficient in Data Analysis Tools
Data Cleaning and Preparation
Statistical Analysis Techniques
Data Visualisation
Trend and Pattern Analysis
Effective Reporting
Problem-Solving Abilities
Collaboration and Communication

DURATION

3 Days

DATE

TBC

TIME

TBC

VENUE

Johor Bahru
Kuala Lumpur
Penang

TRAINING OUTLINE

Learning Outcome:

Data Management Skills
Understanding of Statistical Methods
Insightful Data Interpretation
Strong Reporting Skills
Problem-Solving with Data
Certification Readiness
Enhanced Communication Skills

Methodology:

Workshop, hands on, interactive learning, case studies and real-life scenarios, expert demonstrations, brainstorming

Format:

In-house / Public Training

PROPOSED ITINERARY

Day 1

Fundamentals of Data Analysis

Translating business question to data question
5 data types in data analytics
Data quality and data
Discovering Business Intelligence
Using Excel in Data Analysis
Introduction to SQL
Data aggregation and grouping
Hands-on lab

Day 2

Advanced Data Analysis Techniques

The lifecycle of an analytics project
The OSEMN framework
Advanced Excel Functions
How to handle outliers and missing data
Summarise data to extract business insights
Choosing the best visualisation for your data
Integrating AI into your data analysis workflow
Hands-on lab

Day 3

Data visualization and dashboard

Defining KPIs and metrics
Predictions with business forecasting
Build an executive dashboard using PowerBI
Data storytelling
Distilling and communicating results to stakeholders
The ABC in modern analytics: AI, Big Data, and Cloud
Capstone project

Closing

Post-exam
Final Q&A and wrap-up

ABOUT THE TRAINER

Assoc. Prof.
Dr Lau Cher Han

Adjunct Associate Professor,
Raffles University /
Managing Director,
Ucan Technologies

Associate Professor Dr Lau Cher Han is a renowned AI and data science keynote speaker. He is the CEO of Accio Technologies and independent director of Agmo Holdings Berhad. He was also the founder of CoronaTracker.com, the world’s first database to track COVID-19 cases and its variants.

Dr Lau has provided training and consulting services to major companies, organisations, and government agencies in Australia, Malaysia, Taiwan, and other Asian countries. His clients include Intel, Standard Chartered Bank, IBM, and Malaysian government ministries departments such as DOSM and KKD.

Dr Lau has been invited to give keynote speeches at major data science events, including the Microsoft Azure Global Bootcamp, Facebook Developer Circles, and the Open Data Science Conference. He also appeared regularly on media such as 8TV, AiFM, BFM, Astro Awani, and TV2, to share his insights on technological issues.

As CEO of Accio, Drs Lau focuses on helping clients to build high-performance data science teams. He helps them combine structured and unstructured data to provide valuable insights and implement data analytics and big data strategies, preparing clients for the future big data economy.

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