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Mining Data Analytics and Visualization

Learn to extract insights, apply statistical models, and create compelling visualizations from big data using modern analytics tools for business
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2 months to complete
at 2-3 hours a week

Overview

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Learning outcomes

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Course content

1

Data Mining Fundamentals

2

Predictive Analytics For Mining

3

Geospatial Visualization Techniques

4

Real‑Time Monitoring Dashboards

5

Machine Learning Applications In Exploration

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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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 Planning and Management
  • 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 1,362 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
EP
Emily Patel
GB · Course completed

I recently completed the Mining Data Analytics and Visualization course at Stanmore School of Business, and I must say it was an absolutely fantastic experience! The course content was incredibly relevant and helped me achieve my learning goals of becoming proficient in data analysis and visualization. I particularly enjoyed the practical examples and case studies, which made the learning experience very engaging. The course materials were of high quality, and the instructors were very knowledgeable and supportive. I gained valuable skills in data mining, statistical modeling, and data visualization, which I've already started applying in my current role. I would highly recommend this course to anyone looking to enhance their data analytics skills.

RK
Rajesh Kumar
IN · Course completed

The Mining Data Analytics and Visualization course at Stanmore School of Business was a great learning experience for me. I found the course content to be well-structured and easy to follow, with plenty of opportunities to practice and apply the concepts learned. The course materials were comprehensive and covered a wide range of topics, from data preprocessing to visualization. I appreciated the fact that the instructors provided feedback on our assignments, which helped me identify areas for improvement. One of the key takeaways for me was learning how to use tools like Tableau and Power BI to create interactive and informative dashboards. Overall, I'm satisfied with the course and would recommend it to others looking to gain practical skills in data analytics.

AM
Ava Morales
US · Course completed

Wow, just wow! The Mining Data Analytics and Visualization course at Stanmore School of Business exceeded my expectations in every way. The instructors were passionate and knowledgeable, and the course content was cutting-edge and relevant. I loved the hands-on approach, with plenty of labs and projects that allowed me to apply the concepts learned. The course materials were top-notch, with plenty of resources and references for further learning. I gained a ton of practical skills, including data wrangling, machine learning, and data visualization. The best part was the final project, where I got to work on a real-world problem and present my findings to the class. It was an amazing experience, and I feel confident that I can now tackle complex data analytics projects with ease. Thank you, Stanmore School of Business, for an incredible learning experience!

LC
Liam Chen
AU · Course completed

I completed the Mining Data Analytics and Visualization course at Stanmore School of Business with a clear goal in mind: to enhance my data analytics skills and stay up-to-date with industry trends. The course content was detailed and comprehensive, covering a wide range of topics, from data mining to visualization. I appreciated the fact that the instructors provided detailed feedback on our assignments, which helped me refine my skills. The course materials were well-structured and easy to follow, with plenty of examples and case studies to illustrate key concepts. One of the key takeaways for me was learning how to use Python and R to analyze and visualize complex datasets. Overall, I'm satisfied with the course and would recommend it to others looking to gain a deeper understanding of data analytics and visualization.





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Recently updated!

March 2026