Data Analysis Diploma with SAS, R & Python Programming

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CPD Accredited Hard Copy Certificate

Hard copy certificate - Included

CPD Accredited PDF Certificate

Digital certificate - Included

MCQ/Assignment

Included in course price

This programme connects SAS rigour, R’s statistical depth, and Python’s versatility with Excel/Power BI/Looker Studio to turn raw data into decisions and measurable impact. You’ll learn end-to-end workflows—data prep, modelling, validation, and stakeholder storytelling—so insights land clearly and drive action.

What You Will Learn In Each Course:

• Course 01: Business Intelligence and Data Mining — ETL, clustering, association rules, and KPI design.
• Course 02: Diploma in Data Analysis Fundamentals — Data lifecycle, cleaning, exploration, and framing insights.
• Course 03: Google Data Studio: Data Analytics — Connectors, filters, modern charts, and shareable dashboards.
• Course 04: Statistics — Descriptive measures, probability, distributions, and sampling.
• Course 05: Statistical Analysis — Hypothesis tests, regression, correlation, and effect size.
• Course 06: Statistics & Probability for Data Science & Machine Learning — Random variables, Bayes, bias–variance.
• Course 07: Quick Data Science Approach from Scratch — Problem definition to delivery, end-to-end.
• Course 08: SAS Programming Basic to Advanced — DATA steps, PROC SQL, PROC MEANS/REG, macros, and QC.
• Course 09: R Programming for Data Science — Tidyverse wrangling, visualisation, and reproducible analysis.
• Course 10: Python Data Science — Pandas/NumPy pipelines, plotting, and automation.
• Course 11: Data Science & Machine Learning with Python — Feature engineering, model training, evaluation.
• Course 12: Microsoft Power BI - Master Power BI in 90 Minutes! — Data model, visuals, and quick publishing.
• Course 13: PowerBI Formulas — DAX measures, CALCULATE, and time-intelligence patterns.
• Course 14: Excel Data Analysis — Pivots, lookups, what-if tools, and scenario planning.
• Course 15: Excel Data Tools and Data Management — Power Query, data models, and data hygiene.
• Course 16: Master JavaScript with Data Visualization — Interactive charts and web-based storytelling.
• Course 17: Research Methods in Business — Method fit, validity, reliability, and reporting.
• Course 18: Fundamentals of Business Analysis — Requirements, processes, and value mapping.
• Course 19: Financial Analysis — Trend, variance, profitability, liquidity, leverage.
• Course 20: Financial Modeling Using Excel — Assumptions, scenarios, sensitivity, and audit trails.
• Course 21: Investment Analyst — Valuation approaches, comparables, and research notes.
• Course 22: Technical Analysis Masterclass for Trading & Investing — Trends, momentum, entries/exits.
• Course 23: Understanding Financial Statements and Analysis — P&L, balance sheet, cash flow, and notes.
• Course 24: Strategic Planning and Analysis for Marketing — Segmentation, forecasting, ROI.
• Course 25: Stock Trading Analysis with Volume Trading — Volume signals, risk control, logs.
• Course 26: Time Management Training - Online Course — Prioritisation and delivery focus.
• Course 27: Complete Communication Skills Master Class for Life — Clear messaging and presence.
• Course 28: Public Speaking — Structure, delivery, visuals, and confidence.
• Course 29: Minute Taking Executive Training — Accurate actions and accountability.
• Course 30: Receptionist Skills — Professional communication and information capture.

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

• Course 01: Career Development Plan Fundamentals — Map competencies, set milestones, and create a focused analytics career roadmap.
• Course 02: CV Writing and Job Searching — Build ATS-ready, metrics-led CVs and targeted applications.
• Course 03: Interview Skills: Ace the Interview — Deliver STAR stories that showcase data impact and rigour.
• Course 04: Video Job Interview for Job Seekers — On-camera setup, concise portfolio walk-throughs, strong presence.
• Course 05: Create a Professional LinkedIn Profile — Optimise keywords; showcase dashboards, models, and case studies.
  
  

Certification

After successfully completing the learning and assessment for Data Analysis Diploma with SAS, R & Python Programming, you’ll receive a digital PDF Certificate and Transcript. Original Hard Copy certificates must be bought separately for an extra £8.

• Aspiring Data/BI Analysts and Data Scientists
  
  
• Career-changers seeking a structured, portfolio-ready analytics path
  
  
• Professionals in finance/marketing/ops needing dashboards and decision support
  
  
• Teams standardising metrics, models, and reporting
  
  
• Students building a strong foundation in SAS, R, Python, SQL, and BI

There are no formal prerequisites or qualifications required. The curriculum is designed for accessible study for all, regardless of prior experience or educational background.

This Data Analysis Diploma with SAS, R & Python Programming supports growth across analytics roles, including:

• Data Analyst / BI Analyst – £30,000–£50,000
  
  
• Data Scientist (entry–mid) – £40,000–£70,000
  
  
• Financial/Marketing Analyst – £28,000–£55,000
  
  
• Business Analyst (Data-focused) – £35,000–£60,000

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