Excel Data Analysis, Python, R, Machine Learning, Power BI for Data Visualization

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CPD Accredited Hard Copy Certificate

Hard copy certificate - Included

CPD Accredited PDF Certificates

Digital certificate - Included

MCQ/Assignment

Included in course price

This programme unites Excel analytics, Python and R data science, SQL, statistics & ML, and modern BI (Power BI/Data Studio) in a single, job-ready pathway. You’ll build end-to-end projects—from data collection and wrangling to modelling and dashboard storytelling—developing a portfolio that proves real, workplace value.

What You Will Learn In Each Course:

• Course 1: Basic Data Analysis — Core concepts of datasets, cleaning, and descriptive insight; turn messy data into clear summaries.
• Course 2: Excel Data Analysis — Functions, PivotTables, and charts; structure workbooks for repeatable analysis.
• Course 3: 2021 Python Programming From A-Z: Beginner To Expert — Syntax to scripts; automate tasks and prepare data reliably.
• Course 4: Python Data Science with Numpy, Pandas and Matplotlib — Vectorised analysis, DataFrames, and visualisation workflows.
• Course 5: 2021 Data Science & Machine Learning with R from A-Z — Tidyverse pipelines, modelling, and evaluation in R.
• Course 6: Mastering SQL Programming — Query design, joins, CTEs, and performance basics for analytics.
• Course 7: Statistics & Probability for Data Science & Machine Learning — Hypothesis tests, confidence intervals, and predictive thinking.
• Course 8: Quick Data Science Approach from Scratch — A lightweight, end-to-end DS process: problem → data → model → insight.
• Course 9: R Programming for Data Science — Data wrangling, ggplot visuals, and reproducible scripts.
• Course 10: Learn Python, JavaScript, and Microsoft SQL for Data science — Multi-language workflows; data in, transform, serve to apps.
• Course 11: Google Data Studio: Data Analytics — Connect data sources and build shareable, interactive reports.
• Course 12: Introduction to Excel Data Tools and Data Management — Power Query, data validation, and workbook governance.
• Course 13: Data Center Training Essentials: General Introduction — Infrastructure, uptime, and why data centres matter to analytics.
• Course 14: Web Scraping and Mapping Dam Levels in Python and Leaflet — Collect data ethically and visualise geospatial change.
• Course 15: Microsoft Power BI - Master Power BI in 90 Minutes! — Import, model, and publish impactful dashboards quickly.
• Course 16: PowerBI Formulas — DAX measures, calculated columns, and time-intelligence patterns.
• Course 17: Business Intelligence and Data Mining — ETL, dimensional models, clustering/association for business value.
• Course 18: Financial Ratio Analysis for Business Decisions — Interpret profitability, liquidity, and leverage to advise stakeholders.
• Course 19: Research Methods in Business — Sampling, surveys, and experiments; make findings credible and actionable.
• Course 20: Cyber Security Incident Handling and Incident Response — Protect data pipelines; handle incidents with structured playbooks.
• Course 21: Microsoft Azure 2017 — Cloud basics and services relevant to data storage and compute.
• Course 22: AZ-104: Microsoft Azure Administrator — Identity, storage, and VM/network configuration for data workloads.
• Course 23: Microsoft Azure Cloud Concepts — Core cloud models, SLAs, and cost considerations for analytics teams.
• Course 24: Advanced Excel Analytics — Power Pivot, advanced formulas, and scenario tools for decision support.
• Course 25: Microsoft Access Tables and Queries — Relational design, queries, and compact data apps for teams.
  
  

5 Extraordinary Career Oriented Courses to reimagine and refine your success techniques:

• Course 1: Career Development Plan Fundamentals — Set goals, milestones, and a learning cadence that compounds.
• Course 2: CV Writing and Job Searching — Turn project outcomes into quantified achievements.
• Course 3: Interview Skills: Ace the Interview — Structure clear, evidence-led answers about your analyses.
• Course 4: Video Job Interview for Job Seekers — Confident on-camera presence with concise portfolio walkthroughs.
• Course 5: Create a Professional LinkedIn Profile — Signal skills, publish insights, and attract the right roles.
  
  

Certification

After successfully completing the learning and assessment for Excel Data Analysis, Python, R, Machine Learning, Power BI for Data Visualization, you’ll receive a digital PDF certificate and transcript. Original Hard Copy certificates must be bought separately for an extra £8.

• Learners aiming for data, BI, or analytics roles
  
  
• Job seekers who want portfolio-ready projects and practical tools
  
  
• Career changers moving into data from non-technical fields
  
  
• Students building foundations for advanced analytics or ML
  
  
• Professionals who need trustworthy, repeatable analysis at work

There are no formal prerequisites or qualifications required. We’ve designed this curriculum to be accessible to all, irrespective of prior experience or educational background.

This Data Analysis & BI bundle supports growth for roles across analytics and data platforms, including:

• Data Analyst – £30,000–£50,000
  
  
• Business Intelligence (BI) Analyst – £32,000–£52,000
  
  
• Data Scientist (Entry–Mid) – £45,000–£75,000
  
  
• Machine Learning Engineer (Entry–Mid) – £55,000–£85,000

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