Data Analysis with NumPy and Pandas
Overview The Data Analysis with NumPy and Pandas Course is a CPD-accredited, fully online programme designed for learners who want to develop practical data analysis skills using Python-based tools. This course introduces essential techniques for working with datasets, analysing information, and extracting valuable insights using powerful data science libraries. Throughout …
Overview
Overview
The Data Analysis with NumPy and Pandas Course is a CPD-accredited, fully online programme designed for learners who want to develop practical data analysis skills using Python-based tools. This course introduces essential techniques for working with datasets, analysing information, and extracting valuable insights using powerful data science libraries.
Throughout the course, you will explore NumPy arrays, Pandas DataFrames, data cleaning, data manipulation, filtering, aggregation, analysis techniques, and efficient data processing workflows. You will learn how professionals organise, explore, and transform datasets to support informed decision-making and machine learning applications.
This course is ideal for aspiring data analysts, Python developers, data science learners, students, and professionals looking to strengthen their analytical skills. With flexible online learning, CPD accreditation, and practical exercises, it helps learners build confidence in performing real-world data analysis using Python.
Key highlights:
- Learn data analysis using NumPy and Pandas
- Work with arrays and DataFrame structures
- Explore data cleaning and manipulation techniques
- Analyse datasets using Python workflows
- Flexible self-paced online learning with lifetime access
- CPD-accredited for data science development
- Apply Python analysis skills to real datasets
Accreditation & Recognition
The Data Analysis with NumPy and Pandas Course is CPD-accredited, supporting learners who want to develop practical Python data analysis skills. The course provides structured learning focused on data handling, analysis techniques, and tools widely used in modern data science environments.
- 100% online and flexible learning experience
- Designed for data analysis learners
- Includes CPD-accredited certificate upon completion
- Supports progression into data careers
Assessment & Certification
Your understanding of data analysis with NumPy and Pandas is assessed through an online multiple-choice assessment designed to evaluate your knowledge of Python data structures, DataFrames, arrays, manipulation methods, and analytical workflows. You will receive instant results after completion and can retake the assessment if required. Upon successful completion, you can order your CPD Accredited certificate as evidence of your Python data analysis learning and professional development achievement.
Who Is This Course For?
- Aspiring data analysts learning Python tools
- Python developers working with datasets
- Students developing data science skills
- Professionals improving analytical capabilities
- Learners preparing for machine learning
Career Opportunities & Progression
- Data Analyst (£30,000 – £55,000)
- Junior Data Scientist (£35,000 – £60,000)
- Python Developer (£35,000 – £70,000)
- Business Intelligence Analyst (£35,000 – £65,000)
- Data Engineer (£40,000 – £70,000)
Key Skills You’ll Gain
- Working with NumPy arrays
- Analysing data using Pandas
- Creating and managing DataFrames
- Cleaning and transforming datasets
- Filtering and analysing information
- Building efficient data workflows
- Developing Python data analysis confidence
Why Study with Royal Open College
Royal Open College is a trusted CPD-accredited training provider committed to helping learners develop practical and career-focused skills. Our online courses combine flexible study options with industry-relevant knowledge, allowing learners to build confidence and progress professionally.
- Expert-designed courses focused on practical skills
- 100% online learning with flexible access
- Affordable training with transparent pricing
- Trusted by learners developing future-ready skills
Enrol today in the Data Analysis with NumPy and Pandas Course to strengthen your Python data skills, improve analytical confidence, and prepare for opportunities in data science and technology.
Curriculum
- 4 Sections
- 4 Lessons
- Lifetime Access
- The Normal Distribution and the Central Limit Theorem1
- Estimators, Estimates and Confidence Intervals1
- Confidence Intervals for Two Means and Two Kinds of Samples1
- Inferential Statistics Worked from Start to Finish1






