Data Analytics: Practical Training Work

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About Course

Transform Your Career with Industry-Leading Data Analytics Expertise

Welcome to Brand Me’s Data Analytics Internship Programme, offered in partnership with Brand Me 4 Job. This comprehensive, hands-on training experience is meticulously designed to equip aspiring data professionals with the practical skills and technical expertise demanded by today’s data-driven business landscape.

In 2025’s interconnected digital economy, data excellence has become the critical differentiator for successful organisations across the UK. Our programme goes beyond theoretical concepts to provide real-world mastery of the industry’s most powerful tools and technologies that drive modern data analytics and business intelligence operations.

Why Choose Our Data Analytics Internship?

The UK data sector is experiencing unprecedented growth, driven by digital transformation, artificial intelligence, and demand for data-informed decision-making. Our internship programme addresses these changes head-on by focusing on practical skill development through hands-on experience with enterprise-grade data analytics tools.

Whether you’re a recent graduate seeking to specialise in analytics, a career-changer looking to enter this high-demand field, or a professional aiming to upgrade your technical capabilities, our structured internship provides the perfect blend of guided learning and practical application.

Programme Structure and Tool Mastery:

Our internship follows Stunited’s proven 5-phase methodology: Identification, Analysis, Measurements, Learning, and Practical Works. Throughout this journey, you’ll develop comprehensive proficiency in ten essential data analytics technologies:

  1. Foundational Productivity Suites:
    Google Workspace / Microsoft Office Suite: Master essential business tools that support data gathering, cleaning, and reporting. Develop advanced spreadsheet capabilities for data manipulation, trend analysis, and dashboard creation.

  2. Scheduling and Time Coordination:
    Calendly & Cal.com: Learn how to streamline your workflow, manage stakeholder meetings, and coordinate project timelines in data-driven environments.

  3. Project and Task Management:
    Monday.com / Trello: Gain expertise in visual project boards used to manage analytics projects, track KPIs, and collaborate across data teams.

  4. AI-Powered Insights:
    Prompt Engineering – ChatGPT & AI Tools: Develop skills in using generative AI for automating reports, analysing large datasets, and generating predictive insights—vital for staying competitive in 2025’s data landscape.

  5. Data Engineering and Processing:
    Apache Spark / Google Colab: Master data pipelines, big data processing, and cloud-based collaborative analysis environments essential for modern data workflows.

  6. Advanced Analytics Platforms:
    RapidMiner or KNIME: Gain hands-on experience with leading no-code analytics platforms used for predictive modelling, clustering, and machine learning workflows.

  7. Data Visualisation Tools:
    Power BI / Tableau: Develop the ability to convert complex data into powerful visual dashboards that communicate key insights and support strategic decisions.

  8. Database and Querying Skills:
    MySQL / PostgreSQL: Build proficiency in managing relational databases, writing SQL queries, and extracting insights from structured datasets.

  9. Business Intelligence and Reporting:
    Google Data Studio / Looker Studio: Learn how to develop interactive dashboards, automate reporting, and present findings in a clear, decision-focused format.

  10. Enterprise Analytics Tools:
    SAS / IBM SPSS: Develop foundational skills in enterprise-grade analytics tools widely used in large organisations for advanced statistical analysis and data-driven forecasting.

Real-World Application and Practical Experience

What sets our internship apart is our commitment to practical application. You won’t just learn about these tools—you’ll use them to solve real data analytics challenges. Our programme includes:

  • Hands-on projects using real-world business datasets

  • Simulation exercises that reflect common analytics scenarios

  • Data cleaning and transformation tasks for better insights

  • Team collaboration to simulate real workplace dynamics

  • Performance analytics to measure your progress

Industry-Relevant Skills Development

Through our structured programme, you’ll develop the specific technical and analytical skills that UK employers consistently seek:

  • Data wrangling and transformation using advanced functions

  • Exploratory data analysis for identifying patterns and trends

  • Predictive analytics for forecasting business outcomes

  • KPI dashboard design for real-time monitoring

  • Data governance and quality assurance practices

  • Storytelling with data for impactful presentations

  • Cross-functional collaboration with non-technical teams

  • Problem-solving through statistical and machine learning models

  • Business decision support using evidence-based insights

  • Ethical use of data in compliance with GDPR and privacy laws

Career Advancement Opportunities

Completing our Data Analytics Internship positions you for success in numerous high-demand roles, including:

  • Data Analyst

  • Business Intelligence Analyst

  • Data Engineer

  • Reporting Specialist

  • Data Science Associate

  • Insights Analyst

  • Visualisation Developer

  • Research Analyst

  • Forecasting Analyst

  • Marketing Data Specialist

Programme Benefits

  • Industry-recognised certification upon successful completion

  • Portfolio of analytics projects showcasing your skills

  • Networking opportunities with data professionals and employers

  • Mentorship from experienced analytics practitioners

  • Access to Stunited’s career development support

  • Potential employment opportunities with partner organisations

Why Data Analytics Matters in 2025

The UK data industry continues to grow rapidly, shaped by key trends such as:

  • AI integration redefining the speed and scope of analytics

  • Real-time decision-making through live dashboards

  • Data democratisation empowering all teams to use insights

  • Cloud-based analytics enabling scalable solutions

  • Personalisation and customer intelligence driving business value

  • Regulatory compliance necessitating accurate, transparent data use

Our internship programme is designed to address these emerging trends, ensuring you graduate with the in-demand, future-ready skills employers value most.

Join the Data Leaders of Tomorrow

Positions in our Data Analytics Internship Programme are limited and competitive. Successful applicants demonstrate strong numerical aptitude, logical thinking, attention to detail, and enthusiasm for problem-solving with data.

Take the first step toward becoming a data analytics professional equipped with the technical expertise and practical experience that sets you apart in this dynamic field. Apply today through Stunited’s platform and begin your journey toward data excellence.

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What Will You Learn?

  • How to collect, clean, and organise raw data using industry-standard tools such as Excel, Google Sheets, and SQL.
  • Develop the ability to analyse trends, build data models, and make predictions using real-world business datasets.
  • Create dynamic dashboards and charts using free visualisation tools like Power BI, Tableau, and Looker Studio.
  • Improve your communication skills by translating complex datasets into simple, insightful reports for business stakeholders.
  • Gain practical experience working with AI tools such as ChatGPT for automating reports, generating insights, and improving analysis speed.
  • How to plan and manage data projects using visual task boards and project tracking tools like Trello and Monday.com.
  • Use spreadsheet functions like VLOOKUP, IF statements, PivotTables, and forecasting tools to extract actionable business insights.
  • Work on real case studies and solve common business problems using data analytics frameworks and methods.
  • Gain hands-on experience preparing and presenting data-driven recommendations for marketing, sales, and finance teams.
  • Learn how to monitor key performance indicators (KPIs), track business performance, and make data-backed decisions.

Course Content

Data Analytics Mastery: The Ultimate Tools & Skills Internship Programme
Master 10 essential Data Analytics tools through Stunited CIC and Brand Me 4 Job's hands-on internship. This 6–8 week programme provides practical experience with industry-leading platforms including Power BI, AI tools, Apache Spark, SQL databases, Tableau, Oracle NetSuite, and AI-powered analytics platforms that drive modern data-driven operations.

  • Introduction to Data Analytics Modules
  • 1. Microsoft Office Suite / Google Workspace – Practical Work
  • 2. Google Calendar / Calendly – Practical Work
  • 3. Monday.com – Practical Work
  • 4. Prompt Engineering – ChatGPT & AI Tools – Practical Woks
  • 5. Microsoft Power BI/Tableau – Practical work
  • 6. Google Looker Studio – Practical Work
  • 7. Python & NumPy – Practical Work
  • 8. SQL – Practical Work
  • 9. Statistical Analysis System (SAS) – Practical Work
  • 10. Apache Spark – Practical Work

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