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Data Analytics

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Overview

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Learning outcomes

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Course content

1

Data Preparation

2

Data Visualization

3

Statistical Analysis

4

Machine Learning

5

Data Mining

Career Path

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Key facts

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Why this course

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People also ask

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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
OH
Oliver Hughes
GB · Course completed

Absolutely brilliant! The Data Analytics course blew me away with its depth and energy. I wanted to learn how to turn raw data into actionable insights, and the modules on SQL querying and machine‑learning basics gave me exactly that. I can now pull complex datasets from our warehouse, run clustering algorithms, and present the findings in sleek Power BI reports – something I showcased to senior management last week. The course materials were top‑notch, packed with up‑to‑date examples and downloadable notebooks. I’m thrilled with how much my confidence and skill set have grown.

MC
Michael Carter
US · Course completed

The Data Analytics course at Stanmore School of Business exceeded my expectations. The curriculum was aligned with my goal of mastering predictive modeling, and the hands‑on labs using Python and Tableau gave me confidence to build end‑to‑end dashboards for my company. The lecture slides were concise, the case studies reflected real‑world business problems, and the instructor’s feedback on my capstone project was invaluable. I can now independently run churn‑analysis for our marketing team, which has already improved campaign targeting by 12 %. Overall, a professional and highly relevant learning experience.

SL
Sophie Laurent
CA · Course completed

I signed up for the Data Analytics program hoping to get a solid grounding in data‑driven decision making, and it definitely delivered. The mix of video lessons and interactive quizzes kept things interesting, and I especially liked the practical Excel‑Power Query tutorials – I’ve already used them to clean up sales data at my job. The course material was up‑to‑date, with plenty of real‑world examples from retail and finance. While I wish there were a few more live Q&A sessions, the overall experience was enjoyable and helped me land a new role as a junior analyst.

RK
Rahul Kapoor
IN · Course completed

The Data Analytics course provided a detailed and methodical approach to learning analytics tools. My primary objective was to become proficient in R for statistical analysis, and the step‑by‑step tutorials, coupled with real‑world datasets from healthcare, allowed me to practice hypothesis testing and regression modeling extensively. The lecture notes were thorough, and the weekly assignments reinforced the concepts effectively. By the end of the program, I was able to develop a predictive model for patient readmission rates, which my supervisor praised for its accuracy. The overall learning journey was rigorous yet rewarding.





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Recently updated!

May 2026