DATA ANALYTICS FOR E-COMMERCE

DATA ANALYTICS FOR E-COMMERCEThis course covers how to cascade data analytics strategies, manage data analytics, metrics and measurement efforts, and communicate findings to address business problems.

Through E-commerce Data Analytics, learn how to apply reporting and analysis techniques to make informed business decisions.

The learner will also learn the best course of action and evaluate the effectiveness of data-driven analytics tools and technologies deployed.

Course  Objectives

By the end of the course, the learner is able to:

  • Identify relevant digital analytics strategies to measure the performance of products and services in businesses and organisations.
  • Justify the investment in using data analytics tools, technology, and resources in reference to current
  • Select the metrics that would best answer actual business problems.
  • Implement appropriate deep dive quantitative and qualitative data analysis methods to evaluate customer activities and behaviours across all digital platforms.
  • Apply data-driven approach strategies.
  • Recommend the best course of action and evaluate the effectiveness of data-driven analytics tools and technologies deployed.

 

Course  Outline

  • Analytics For Organisational Processes
  • Web Analytics Strategies for Organisations
  • Common Data Applications for Types of Products and Services
  • Business Intelligence (BI) and Marketing Tools for Data Analysis
  • Mapping Data Analytics Tools to Current and Future Business Functions
  • Managing Costs and Resources Associated with Data Analytics
  • Data Metrics for Specific Business Functions
  • What is Hypothesis Testing
  • Creating a Hypothesis
  • Applying Hypothesis Testing
  • Quantitative and Qualitative Data Analysis
  • Data Analytics Implementation and Management
  • Implementing Data-Driven Approach to Business Process Optimisation
  • Creating Relevant Data Analytics Reports For Stakeholders
  • Evaluating Data Reports For Actionable Insights
  • Evaluating Effectiveness of Data Collection and Management Tools

Target Audience

This course is meant for:

  • This course is ideal for learners who want to move into an eCommerce-based domain role or domain professionals who want to enhance their current profile with analytics skills.
  • Individuals or professionals who are interested to acquire applications of Data Analytics with consideration to market and business needs.
  • Companies who like to harness data to improve business performance
  • E-commerce businesses and users keen on learning how they can use Data Analytics data to make informed decisions.

Course Fees

Full course fees: $1391.00 (inclusive of GST)

Company Sponsored

Self-Sponsored

SME

Non-SME/ MNCs

Singaporean aged from  21-39 

Singaporean

Singaporean Aged >= 40

Singaporean & PR 

Singaporean & PR

 

Singaporean aged >=40

$221.00

$1031.00

$221.00

$1031.00

$221.00

 

Note:

  • Company sponsored – Absentee Payroll applicable ▪ SME ($7.50/hr) & Non-SME ($4.50/hr)
  • Skillsfuture Credit eligible for Singapore Citizens aged 25 and above.
  • Trainees are entitled to the training grant when they meet 75% of the training attendance and pass
    the requisite assessment.

    Course Schedule

    Duration: 3 day, 24 hours

    Face to Face, classroom mode

    7,8 & 9 Jul 2021, 9am to 6pm @ Central Singapore (nearest MRT, Somerset)

    Delivery Mode

    Face to Face, Classroom Training

    For more information/ registration or Group / In-House Training, please contact Jaslyn @ 6278 9785 or email jaslyn@cbsgroup.com.sg

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