Digital Analytics - Part of Modular Certificate in Digital Marketing & Analytics (DDC)

Training Provider: Ngee Ann Polytechnic
Course Reference: TGS-2023021025
S$560
Original: S$1,866
Save S$1,306

About This Course

This module introduces participants to data analytics to comprehend, forecast and formulate solutions for digital campaigns. Participants will learn how to utilise data analytics tools to monitor and track campaign success across multiple digital channels, including website, email, social media platforms and mobile applications.

What You'll Learn

•Create and manage data visualization for data exploration and analysis
•Use data-driven analysis as part of their decision-making process, leading to better business outcomes.
•Understand the conceptual foundations of three aspects of business analytics, namely descriptive, predictive and prescriptive analytics.
•Understand the methodological foundations of analysis methods and techniques for digital analytics.
•Be able to apply analytic techniques and methods on business-related data sets.
•Master the basic foundation to using MS Power BI for data manipulation and analyses.
•Understand how and why data analytics can be implemented in organizations, the various approaches and techniques that could be adopted for different organizational objectives and issues.

Entry Requirements

● 3 relevant GCE 'O' Level passes (English, Mathematics and one other subject (Grade 1-6)) and at least 1-year of relevant work experience; or
● NITEC with GPA ≥ 3.5 or GPA ≥ 3.0 and at 1-year of relevant work experience; or
● Higher NITEC with GPA of ≥ 2.0 or GPA ≥ 1.5 and at least 1-year relevant work experience; or
● NITEC in Technology or Services with GPA ≥ 3.5 and at least 1-year relevant work experience; or
● Higher NITEC in Technology or Services with GPA ≥ 2.0 and at least 1-year relevant work experience; or
● Relevant WSQ Diploma qualifications (or higher) and Level 6 WSQ Workplace Literacy SOA and Workplace Numeracy SOA and 1-year relevant work experience; or
At least 2 years relevant work experience.

Course Details

Duration 60 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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