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Introduction to Python for Big Data Analytics

Expand your understanding of big data and learn techniques to use Python as a tool for analytics.

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  • Duration

    3 weeks
  • Weekly study

    3 hours

Delve into the fundamentals of data analysis

Big data analytics is essential for businesses and organisations, providing them with insight into patterns and trends, and enabling faster, innovative solutions and decision-making.

This three-week course from Edge Hill University will introduce you to the main concepts of data analytics, its theoretical frameworks and practical applications for modern science, business, digital technology, and security.

Discover the functionality of Python as a data analytics tool

Python has been established as the perfect programming language for big data. Its straightforward syntax and code execution means that Python is able to process data at rapid speeds, resulting in highly efficient operation.

You’ll learn techniques to import, process, and visualise data sets using Python to simplify the data analytics process.

Explore case studies and implement solutions using Python programming

On this course, you’ll have access to a choice of four case studies covering topics such as criminology, IoT Industry 4.0, and biological sciences.

With the guidance of your educators, you’ll be able to recognise the importance of big data in the context of the case studies and use Python tools to build efficient and inventive solutions.

Learn about big data with the experts at Edge Hill University

The Computer Science department at Edge Hill University is a thriving, international community of students and staff committed to teaching and research excellence, professional practice, interdisciplinary collaborations, and partnerships.

You’ll work with experts in the field of data science who will teach you the knowledge and skills you need to use data analytics to create smart solutions for various sectors of industry.


  • Week 1

    Introduction to Python for Big Data Analytics

    • Introduction to Python for Big Data Analytics

      Welcome to Big Data Analytics course. This course is designed to support you in understanding not just the basics of Big Data analytics but how it is so crucial in various fields.

    • Introduction to Python

      This activity will provide an introduction to Python

    • General Python Syntax

      General Python Syntax

    • Week 1 Summary

      This activity provides a summary of week 1.

  • Week 2

    The Fundamental Steps for Big Data Analytics Implementations

    • Introduction


    • Architecture, Analysis and Visualisation Methods

      Architecture, Analysis and Visualisation Methods

    • Data Pre-Processing in Python

      This activity will focus on the general steps to pre-process text.

    • Week 2 Summary

      This activity provides a summary of the different topics discussed during this week.

  • Week 3

    Case Studies

    • Architecture design and implementation of study case solution

      Architecture design and implementation of study case solution

    • Airlines Sentiment and Charlottesville Rally: Two Case Studies

      Airlines Sentiment and Charlottesville Rally: Two Case Studies

    • Reflection

      This activity will focus on AI and how this fits with data science

    • Conclusion


Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • Demonstrate an understanding of general data analysis topics as well as those directly relevant to each strand.
  • Assess a range of Python tools and implementation relevant to each strand.
  • Identify, design, and implement a solution based on the corresponding case study.
  • Visualise and assess the identified solutions.

Who is the course for?

This course is designed for STEMM graduates looking to utilise big data analytics in their work.

Who developed the course?

Edge Hill University

Edge Hill University has been providing higher education since 1885 and is based on an attractive, award-winning 160-acre campus in Lancashire, close to Liverpool and Manchester.

Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps to help you keep track of your learning
  • Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
  • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

Join a global classroom

  • Experience the power of social learning, and get inspired by an international network of learners
  • Share ideas with your peers and course educators on every step of the course
  • Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

Map your progress

  • As you work through the course, use notifications and the Progress page to guide your learning
  • Whenever you’re ready, mark each step as complete, you’re in control
  • Complete 90% of course steps and all of the assessments to earn your certificate

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