Global Certificate Course in Data Visualization and Web Analytics

Monday, 07 July 2025 23:00:15

International applicants and their qualifications are accepted

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Overview

Overview

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Data Visualization and Web Analytics: This Global Certificate Course empowers you to master data storytelling.


Learn to effectively communicate insights through compelling data visualizations, using tools like Tableau and Power BI.


This program covers web analytics, including Google Analytics, helping you track website performance and user behavior.


Designed for marketers, analysts, and anyone working with data, this course provides practical skills and data visualization techniques.


Gain a competitive edge by mastering data visualization and web analytics. Data visualization is key to effective decision-making.


Enroll today and transform raw data into powerful narratives. Explore the course details and unlock your data potential!

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Data Visualization and Web Analytics is a global certificate course designed to transform your career. Master crucial data analysis techniques and interactive dashboards to extract meaningful insights. Learn to utilize powerful web analytics tools like Google Analytics and Tableau, boosting your data storytelling skills. This online course provides flexible learning, industry-relevant projects, and a globally recognized certificate, opening doors to exciting opportunities in data science, marketing analytics, and business intelligence. Secure a rewarding future with demonstrable skills and enhanced career prospects. Become a data-driven professional today!

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• **Data Visualization Fundamentals:** Introduction to data visualization principles, chart types (bar charts, line graphs, scatter plots, etc.), choosing the right chart for your data, and effective visual communication.
• **Web Analytics Platforms (Google Analytics):** Exploring Google Analytics interface, key metrics, data interpretation, setting up tracking, and report generation. This unit includes practical exercises with Google Analytics.
• **Data Wrangling and Preparation:** Cleaning, transforming, and preparing data for visualization using tools like Excel and/or Python (Pandas). This involves handling missing values, outliers, and data types.
• **Interactive Data Visualization Tools:** Working with Tableau or Power BI (or similar tools), creating interactive dashboards, and incorporating dynamic elements for effective communication.
• **Data Storytelling and Communication:** Crafting compelling narratives with data, presenting findings effectively, and designing visually appealing presentations for different audiences.
• **Advanced Charting Techniques:** Exploring more advanced chart types such as heatmaps, treemaps, network graphs, and geographic maps, along with their applications and best practices.
• **Website Tracking and Measurement:** Setting up effective website tracking, defining key performance indicators (KPIs), and analyzing website traffic sources.
• **A/B Testing and Experimentation:** Understanding A/B testing methodologies, designing experiments, and analyzing results to optimize website performance and user experience.
• **Data Visualization Ethics and Best Practices:** Addressing ethical considerations in data visualization, avoiding misleading presentations, and adhering to best practices for data integrity and transparency.

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): 140
2 months (Standard mode): 90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role (Data Visualization & Web Analytics) Description
Data Visualization Specialist Develops compelling visuals using tools like Google Charts to communicate insights from data. High demand in UK marketing and business intelligence.
Web Analyst Tracks website traffic, user behavior, and conversion rates. Essential for UK businesses seeking to optimize online performance and ROI.
Business Intelligence Analyst (BI Analyst) Analyzes business data to identify trends and opportunities for improvement, utilizing data visualization for effective communication. Crucial for data-driven decision-making in UK organizations.
Data Scientist Applies advanced analytical methods to large datasets, creating visualizations to explain complex findings and driving strategic insights within UK industries. High earning potential.

Key facts about Global Certificate Course in Data Visualization and Web Analytics

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A Global Certificate Course in Data Visualization and Web Analytics equips you with the in-demand skills needed to succeed in today's data-driven world. This comprehensive program focuses on transforming raw data into compelling visuals and actionable insights.


Learning outcomes include mastering various data visualization tools and techniques, including popular platforms like Tableau and Power BI. You'll also gain proficiency in web analytics using Google Analytics, interpreting key metrics, and drawing meaningful conclusions from website data. This includes understanding user behavior, conversion rates, and other crucial performance indicators (KPIs).


The course duration typically ranges from several weeks to a few months, depending on the intensity and format of the program. The flexible learning options often cater to diverse schedules, allowing professionals to upskill or reskill while maintaining their current roles. The curriculum is designed to be practical and project-based, ensuring you develop a strong portfolio to showcase your skills to potential employers.


The Global Certificate in Data Visualization and Web Analytics holds significant industry relevance. Businesses across all sectors rely on data-driven decision-making, creating a high demand for skilled professionals proficient in data visualization and web analytics. This globally recognized certificate will enhance your resume and open doors to exciting career opportunities in business intelligence, marketing analytics, and data science.


Upon completion, graduates are well-prepared to analyze website traffic, improve online marketing strategies, and contribute significantly to data-driven decision-making within organizations. The program's emphasis on practical application, coupled with the use of industry-standard tools, ensures graduates are immediately job-ready. This Data Visualization and Web Analytics certification is a valuable asset for career advancement.

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Why this course?

Global Certificate Course in Data Visualization and Web Analytics is increasingly significant in today's UK market. The demand for data professionals is soaring. According to a recent report by the Office for National Statistics, the UK digital economy contributed £160 billion to the economy in 2021, highlighting the importance of data-driven decision-making. This growth fuels the need for professionals skilled in data visualization and web analytics, capable of extracting meaningful insights from complex datasets.

The course equips learners with the necessary skills to interpret data, create compelling visualizations, and perform effective web analytics. This translates to increased employability and career advancement opportunities across various sectors, including marketing, finance, and technology. Understanding web analytics is crucial for optimizing online marketing strategies and improving conversion rates, contributing directly to a company's bottom line.

Sector Job Growth (2022-2027)
Marketing 15%
Finance 12%
Technology 20%

Who should enrol in Global Certificate Course in Data Visualization and Web Analytics?

Ideal Audience for Global Certificate Course in Data Visualization and Web Analytics
This data visualization and web analytics course is perfect for aspiring professionals and current employees aiming to boost their career prospects. In the UK, the demand for data professionals is soaring, with projected growth significantly outpacing other sectors.
Target Profiles: Marketing professionals seeking to enhance their data analysis and reporting skills, business analysts aiming to master data visualization tools and techniques, web developers wanting to improve website performance through enhanced analytics, and graduates seeking a competitive advantage in the job market by gaining in-demand web analytics expertise.
Skills Gained: Mastering data storytelling through compelling visualizations, performing in-depth web analytics using industry-standard tools (like Google Analytics), interpreting complex data sets for strategic decision-making, and developing effective data-driven strategies.
Career Benefits: Increased earning potential, improved job security, access to higher-level roles within your organization, and the ability to contribute meaningfully to data-driven decision-making processes.