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Python Packages: NumPy and Pandas Dataframe

Expand your advanced analytics skills using Python - you can explore data ingestion with CRISP-DM methodology.

Man smiling at the camera in front of black screens of code.
  • Duration

    4 weeks
  • Weekly study

    4 hours

On this informative course created in collaboration with Github, you’ll further your understanding of data analysis, and become more familiar with Python programming.

Explore and learn the features of Python programming

This course is designed to make you a more confident Python user, following your introduction to the fundamentals of Python.

You’ll gain confidence using the Module, Packages and Libraries in Python, and use Python’s Date Time data, and Numpy and Pandas packages.

Discover data ingestion using Python

You’ll practice ingesting data from various data types and sources using Python, so it’s ready to be further analysed. Adding Python programming to your skills can make this a quicker and easier process, offering you efficiencies and new ways to manipulate the data.

By the end of the course, you’ll be able to demonstrate that you can use Python functions in various ways.

What topics will you cover?

  • Python modules and packages
  • Getting started with NumPy
  • Getting started with Pandas
  • Data ingestion using Python

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...

  • Describe what Modules, Packages and Libraries are in Python
  • Use Date Time data in Python
  • Use the Numpy and Pandas packages of Python
  • Demonstrate data ingestion using Python and various data types and data sources

Who is the course for?

This course is suitable for:

  • business analysts or junior data analysts looking to develop advanced data analytics skills and programming capabilities to progress their careers in data analytics
  • those with existing programming capabilities looking to enter the data analytics field
  • individuals lacking the programming capabilities to conduct more advanced data analysis and modelling

What software or tools do you need?

During the ExpertTrack we’ll be using Jupyter notebook. We recommend you use a computer to access these elements.

Who will you learn with?

I truly believe that leveraging the correct technologies in the appropriate way can take us towards a more sustainable economy. My focus is on converging M&E Engineering with Data Science/Analysis.

Who developed the course?


FutureLearn is a leading social learning platform and has been providing high quality online courses for learners around the world over the last ten years.

In collaboration with

GitHub logo

Endorsers and supporters

endorsed by

Coventry University logo

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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