Data analytics for organisational growth for retail companies​

Online Short Course Retail

Unlock the potential of data with the 'Data Analytics for Organisational Growth for Retail Companies' course. Learn data-driven decision-making, customer segmentation, sales forecasting, and more to drive growth and success in retail.

Overview

The "Data Analytics for Organisational Growth for Retail Companies" course is designed to help retail professionals and business leaders harness the power of data to drive strategic decisions and foster growth. In the competitive world of retail, leveraging data analytics can lead to significant insights into customer behavior, market trends, inventory management, and operational efficiency.

Participants will learn to use data analytics tools and techniques to analyze complex datasets, identify growth opportunities, optimize marketing strategies, and improve overall business performance. The course covers essential topics such as data visualization, predictive analytics, customer segmentation, sales forecasting, and performance metrics, all tailored specifically for the retail sector.

By the end of this course, participants will be equipped with the skills and knowledge to turn data into actionable insights, making data-driven decisions that align with organizational goals and drive sustainable growth in the retail industry.

The Details

  • FOR SKILLSFUTURE CLAIMS

    Registered Title: (Data analytics for organisational growth for retail companies )

    TPGateway Code:TGS-2024041974

  • total hours

    16:00

Curriculum

Course Duration

SSG Approved Training & Assessments Hours:16:00 Trainer Facilitated Hours (On Campus/Virtual):15:00 Self-Directed E-learning Hours:00:00 Assessment Hours:01:00
Objectives
  • Translate overall data analytics metrics and measurement strategy into web analytics strategies.
  • Define the business problems, questions, or hypotheses that data analytics should seek to answer or prove.
  • Lead and train staff in using various forms of analytics tools available.
  • Allocate budgets and resources for investment in data analytics tools and technology usage in the organization.
  • Review and evaluate the effectiveness of data analytics tools and technologies deployed.
Key Learning Areas
  • Organisation's web analytics strategy.
  • Organisation's overall data analytics metrics and measurement strategy.
  • Organisation's product and services.
  • Types of business problems, questions, or hypotheses.
  • Data analytics tools and technology.
  • Current and emerging data analytics tools and technology trends.
  • Types of business problems, questions, or hypotheses that data analytics should seek to prove.
  • Different forms of analytics are available such as consumer segmentation, predictive modeling, contextual targeting, churn analysis, revenue growth, and cost optimization.
  • Criteria for evaluating the effectiveness of data analytics tools and technology.
Certificate Issuance
Upon successful completion of the course, the student will be awarded the Statement of Attainment (SOA) for Data Analytics-5 WSQ Certification is nationally endorsed and recognized by industry partners.
Requirements
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Fees & Funding
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Items Required For Class

Do take note of the following things you are required to have for both class and their assessments. Please check if all these stated below are in working condition before coming. 

  1. Laptop 
  2. Webcam 
  3. Working mic on laptop or actual mic 
  4. Smart phone with access to their respective app stores
  5. Access to data or wifi connections

Testimonials
FAQs

We do not offer any make-up or replacement classes.

We highly discourage you from missing any classes since the entire program is designed to be hands-on intensive. There is also a minimum attendance requirement of 75% of training hours for Singaporean and PRs, and 90% of training hours for international students. If you do not meet the 75% attendance requirement, you will not be eligible to enjoy subsidies nor to sit for the assessment. Make sure you block off your time during your training with us or find an intake option that will ensure you do not miss any classes. You will only wish that you had more time in the class!