Global Certificate in Data Analytics for Product Promotion: Market Analysis

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The Global Certificate in Data Analytics for Product Promotion: Market Analysis is a comprehensive course designed to empower learners with essential data analytics skills for product promotion and market analysis. In today's data-driven world, there is an increasing demand for professionals who can leverage data to make informed business decisions.

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About this course

This course focuses on teaching learners how to collect, analyze, and interpret data to identify market trends, customer preferences, and product opportunities. By the end of the course, learners will be equipped with the skills to create data-driven marketing strategies that can help drive business growth and success. The course is industry-relevant and offers practical hands-on experience in using data analytics tools and techniques. Learners will gain a competitive edge in the job market by acquiring a highly sought-after skill set that is essential for career advancement in various industries, including marketing, sales, and product management.

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Course Details

• Data Collection Techniques
• Data Cleaning and Pre-processing
• Exploratory Data Analysis (EDA)
• Statistical Analysis for Market Research
• Data Visualization for Market Analysis
• Market Segmentation and Targeting
• Product Positioning using Data Analytics
• Predictive Analytics for Market Trends
• Data Storytelling and Communication Skills

Career Path

In the ever-evolving tech landscape, data analytics roles are becoming increasingly vital for businesses seeking to harness their data for strategic decision-making. Here's a glance at some of the most in-demand data analytics roles in the UK: 1. **Data Scientist**: These professionals are responsible for extracting insights from large, complex datasets. With a median salary of £50,000, data scientists need a strong foundation in statistics, machine learning, and programming languages like Python or R. ([*source*](https://www.payscale.com)) 2. **Data Analyst**: Data analysts collect, process, and interpret data for actionable insights. Their median salary is around £30,000, and they often work in industries like finance, healthcare, and marketing. ([*source*](https://www.payscale.com)) 3. **Business Intelligence Analyst**: These professionals gather and analyze data to inform strategic business decisions. They typically earn a median salary of £35,000 and use tools like SQL, Tableau, and Power BI. ([*source*](https://www.payscale.com)) 4. **Data Engineer**: Data engineers build and maintain data architectures that enable data analytics. Their median salary is approximately £55,000, and they typically work with technologies like Hadoop, Spark, and cloud platforms. ([*source*](https://www.payscale.com)) 5. **Data Visualization Specialist**: These experts create visual representations of complex data to facilitate understanding and decision-making. Their median salary is around £40,000, and they often work with tools like Tableau, Power BI, or D3.js. ([*source*](https://www.payscale.com)) As data-driven decision-making continues to spread across industries, these roles are expected to grow in demand, offering exciting opportunities for professionals with relevant skills.

Entry Requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course Status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

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GLOBAL CERTIFICATE IN DATA ANALYTICS FOR PRODUCT PROMOTION: MARKET ANALYSIS
is awarded to
Learner Name
who has completed a programme at
London School of International Business (LSIB)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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