Data Analytics

Data Analytics

Master Excel, Power BI & SQL. No Experience Required

8 Weeks Virtual & Recorded Absolute Beginners
£550$750C$950
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About This Course

This program is built for people starting from scratch. You don't need any tech background, degree, or prior experience. Whether you're coming from care work, retail, banking, HR, or any other field, we'll walk you through everything step by step. By the end, you'll have real, job-ready skills in Excel, Power BI, and SQL, the three tools employers actually ask for.

What You'll Achieve

  • Build professional Excel dashboards
  • Create interactive Power BI reports
  • Write SQL queries to extract insights
  • Use AI tools to accelerate your workflow
  • Land your first data role with a job-ready CV
  • Complete a portfolio-ready capstone project

I had zero tech experience. I was doing care work and thought data analytics wasn't for me. CPD Base changed that. The training was practical, the support was real, and within weeks of finishing, my organisation posted a Data Insight and System Analyst role. I applied, got it, and I haven't looked back.

Tools You'll Learn

Microsoft Excel

Microsoft Excel

Formulas, pivot tables, charts, and dashboards.

Power BI

Power BI

Interactive reports and business intelligence.

SQL

SQL

Query, filter, and analyze data from databases.

What You'll Learn

Advanced Excel

  • Complex formulas (INDEX-MATCH, nested IFs)
  • Pivot tables & slicers
  • Power Query for data transformation
  • Conditional formatting & data validation

Data Visualization

  • Chart selection for different data types
  • Power BI dashboards & drill-throughs
  • DAX measures & calculated columns
  • Storytelling with data

SQL & Databases

  • Writing SELECT, JOIN, and subqueries
  • Aggregation (GROUP BY, HAVING)
  • Database design fundamentals
  • Extracting insights from relational data

AI for Data Analysis

  • Using ChatGPT & Copilot for formula writing
  • AI-powered data cleaning & pattern detection
  • Automating reports with AI tools
  • When to use AI vs. manual analysis

Stakeholder Management

  • Translating business questions into analysis
  • Presenting findings to non-technical audiences
  • Managing expectations & timelines
  • Writing clear data summaries & recommendations

Requirement Gathering

  • Identifying key metrics & KPIs
  • Scoping data requests from teams
  • Prioritizing questions by business impact
  • Documenting requirements for repeatable analysis

Data Cleaning & Preparation

  • Handling missing values & duplicates
  • Standardizing formats & categories
  • Validating data accuracy
  • Building reusable cleaning workflows

Business Reporting

  • Building automated Excel & Power BI reports
  • Scheduling and distributing dashboards
  • KPI tracking & variance analysis
  • Executive summary writing

Career Launch Toolkit

  • CV writing for data analyst roles
  • How to pass interviews without experience
  • Building a portfolio that stands out
  • Job search strategy & application tips

Capstone Project

  • End-to-end analysis on a real dataset
  • Requirements → Cleaning → Analysis → Presentation
  • Portfolio-ready deliverable
  • Mock stakeholder review

More Than Just a Course

We don't just teach you tools. We prepare you for the real world with AI, career support, and a community that stays with you.

AI Tools Training

Learn to use ChatGPT, Copilot, and AI assistants to work faster, not harder. AI won't take your job. People who learn AI will.

CV & Interview Prep

We help you rewrite your CV for data roles, practice interview questions, and build a portfolio that proves your skills, even with zero experience.

Lifetime Community Access

You're never alone. Join our alumni community for ongoing support, job alerts, mentorship, and knowledge sharing, even years after you finish.

Data Analysts Are in Demand Across Every Industry

The global demand for data analysts is projected to grow 35% by 2032 (U.S. Bureau of Labor Statistics). Entry-level roles in the UK start at £25,000–£40,000. Here's where the jobs are:

35%

Finance & Banking

Risk analysis, fraud detection, and regulatory reporting

19%

Healthcare

Patient data insights, clinical reporting, and operational efficiency

28%

Technology

Product analytics, user behaviour, and business intelligence

25%

E-Commerce & Retail

Sales forecasting, inventory analysis, and customer segmentation

22%

Government & Public Sector

Policy analysis, performance dashboards, and service delivery

No Experience? That's the Point.

Most of our students start from scratch. We give you the skills, the AI tools, the CV support, and a community that backs you from Day 1 to your first job and beyond.

Apply Now. Seats Are Limited