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Data Analytics with Python

Learn Python-driven data analysis, visualization, and statistical modeling to extract insights, automate reporting, and solve real-world business problems effectively professionally
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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

Python Data Exploration

2

Statistical Analysis With Pandas

3

Data Visualization With Matplotlib

4

Machine Learning Fundamentals

5

Time Series Forecasting

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

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

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Self-paced
Learn on your time
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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
Ready when you are
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Self-paced · Certificate included · 24/7 access · 60-second start.
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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
Open enrolment · Start today

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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
EP
Emily Patel
GB · Course completed

I recently completed the 'Data Analytics with Python' course at Stanmore School of Business, and I must say it was an exceptional experience. The course content was comprehensive, covering everything from data cleaning to visualization. I particularly enjoyed the practical exercises, which helped me develop a solid understanding of Python libraries like Pandas and NumPy. The course materials were of high quality, and the instructors were knowledgeable and supportive. I achieved my learning goals and gained valuable skills that I can apply in my career. I would highly recommend this course to anyone interested in data analytics.

LC
Liam Chen
US · Course completed

I took the 'Data Analytics with Python' course to improve my data analysis skills, and it definitely helped me achieve my goals. The course covered a wide range of topics, from data preprocessing to machine learning. I found the examples and case studies to be really helpful in understanding the concepts. The course materials were well-organized, and the videos were engaging. One thing that I liked was the flexibility of the course - I could complete it at my own pace. Overall, I'm satisfied with the course, and I think it's a great option for anyone looking to learn data analytics with Python.

AM
Ava Moreno
ES · Course completed

Wow, I'm so glad I took the 'Data Analytics with Python' course! It was amazing. I learned so much about data analysis, and I can already see the impact it's having on my work. The course was really well-structured, and the instructors were super knowledgeable. I loved the interactive exercises and the discussions with my classmates. We worked on some really cool projects, like analyzing customer data and creating predictive models. The course materials were top-notch, and I appreciated the feedback from the instructors. I would totally recommend this course to anyone who wants to learn data analytics with Python. It's been a game-changer for me!

EK
Ethan Kim
CA · Course completed

The 'Data Analytics with Python' course at Stanmore School of Business was a thoroughly enjoyable and enriching experience. As someone with a background in statistics, I was looking to expand my skill set and gain practical experience with Python. The course did not disappoint. The lectures were detailed and well-explained, and the accompanying notes and resources were excellent. I particularly appreciated the focus on real-world applications and the opportunity to work on projects that simulated actual business scenarios. The instructors were responsive and provided thoughtful feedback. While there were some areas where I felt the course could be improved, overall I was satisfied with the experience and feel that it has prepared me well for a career in data analytics.





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Recently updated!

April 2026