Event Information
Event code CMAI20030405 Closed Language English
Event name Data Analytics Modeling Certificate
Enrolment restrictions Members only CPD hours 14.00
Competency Information Technology Sub-Competency Data management and analysis
Level 1 - Foundation
Contact online@hkicpa.org.hk / 2287 7435
Description

Enrolment

Overview
The Data Analytics Modeling Certificate will expand your ability to work with structured and unstructured data to drive a successful analytics practice. To start, you will learn to define clear business outcomes for your analytics practice to ensure your efforts align with your organization's strategic direction and create value. Next, you will learn data profiling and data cleansing techniques to maintain data quality throughout the data life cycle. You'll practice ETL (extract, transform, load) techniques and work with different data models and analytics tools. Finally, you will learn how to institute sophisticated tools for managing an ongoing enterprise data practice, including tools for data warehousing, managing the data life cycle, and working with structured and unstructured data.

Topic discussed

  • Defining value and tying analytics to value-driven business cases.
  • Understanding the characteristics of data and how they can be leveraged to gather insights from information.
  • Identifying project constructs for data analytics.
  • Identifying different types of data with which analysts will be expected to interact.
  • Profiling data for accurate analysis initiatives.
  • Understanding tool capabilities for working with data.
  • Cleansing data with appropriate tools to increases analytics accuracy.
  • Managing data quality and integrity.
  • Extracting, transforming, and loading data.
  • Implementing a data warehouse.
  • Managing the data life cycle.
  • Creating and using different types of data models.
  • Tools for working with both structured and unstructured data.

Learning Objectives

  • Identify opportunities, processes, and necessary data for solving analytical problems.
  • Apply data profiling and data cleansing techniques to available data.
  • Use data preparation and enrichment tools.
  • Use ETL (extract, transform, load) tools.
  • Compare data warehousing techniques.
  • Use data warehousing and data management tools.
  • Align the outcomes of your data analytics practice with your organization's strategic direction and create value.
Event Date
Date / Time CPD hours
04 Mar 2020 00:00 - 31 Dec 2099 23:59 14.00
Fee Information
Type Fee (HKD)
Enrolment Member 5,450.00
Student 5,450.00
Full Hot and limited seat Promotion
Closed e-Learning Continuing Education Fund
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