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تحليل البيانات

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Overview

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Learning outcomes

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Course content

1

Introduction To Data Analysis

2

Data Visualization

3

Statistical Methods

4

Data Mining

5

Data Interpretation

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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Self-paced
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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
ST
Sarah Thompson
GB · Course completed

I signed up for the data analysis course hoping to get better at Excel and PowerBI, and it delivered exactly that. The lessons were laid out in a friendly, informal style – think a coffee chat with a tutor. I learned how to whip up pivot tables, create slicers, and even built a PowerBI report that visualises my freelance project's revenue. The course packets were packed with real‑world examples from UK businesses, which made the material feel relevant. While I wish there were a few more advanced topics, the overall vibe was relaxed yet effective, and I’m now confident handling data at work.

MC
Michael Carter
US · Course completed

The "تحليل البيانات" course at Stanmore School of Business precisely matched my learning goals. The curriculum guided me through data cleaning techniques using Python's pandas library and taught me how to perform regression analysis on real‑world datasets. A standout module was the hands‑on project where I built an interactive sales dashboard, which I now use at my company to track performance weekly. The video lectures were concise, the reading materials featured up‑to‑date case studies, and the instructor’s feedback was prompt and insightful. Overall, the experience was professional and highly rewarding; I feel fully equipped to tackle data‑driven decisions.

AP
Ananya Patel
IN · Course completed

Wow! This course blew me away with its energy and depth. I wanted to dip my toes into machine‑learning‑based data analysis, and the instructor walked us through building a churn‑prediction model step‑by‑step using scikit‑learn. I got to practice feature engineering on a telecom dataset and saw the model’s accuracy improve from 68% to 82% after tuning. The practical labs were super engaging, the supplemental notebooks were crystal‑clear, and the community forum buzzed with helpful tips. I left the course feeling enthusiastic and ready to apply these skills to my startup’s analytics.

ZD
Zanele Dlamini
ZA · Course completed

The "تحليل البيانات" program offered a meticulously detailed curriculum that aligned perfectly with my objective to master both SQL and Tableau. Each module began with a concise theory overview, followed by step‑by‑step exercises – for example, I wrote complex JOIN queries to extract customer segments and then visualised the results in Tableau dashboards that highlighted regional sales trends. The course materials included downloadable scripts, a well‑organized reference guide, and case studies from South African enterprises, ensuring relevance to my local market. Although the pacing was intense, the thorough explanations and frequent quizzes reinforced my learning, and I now feel competent to lead data projects at my firm.





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Recently updated!

May 2026