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This course is part of the Data Analytics Using Python ExpertTrack

Data Analytics and Python Fundamentals

Learn the fundamentals of statistics and data analysis using Python

Data Analytics and Python Fundamentals
  • Duration

    4 weeks
  • Weekly study

    4 hours
  • 100% online

    Learn at your own paceHow it works
  • Included in an ExpertTrack

    Course 1 of 3
  • Get full ExpertTrack access

    $39/monthFind out more

Do you want to make your organisation’s data more valuable? The first step is organising and structuring it for analysis. Data analysts need to use databases and other technologies to efficiently collect, organise and manipulate this data.

This course will help you learn how to confidently use the Python programming language to analyse data and conduct data modelling.

Familiarise yourself with data analytics techniques

You’ll compare data analytics and advanced data analytics, and discuss the fundamentals of statistics and its application in data analytics.

You’ll learn a range of different techniques that will enable you to manipulate data in different ways, and adjust your approach to suit the subject, circumstances, and time you have available.

Learn new Python functions

You’ll also use Python to support data wrangling and ingestion, and learn advanced data analysis techniques including data mining and machine learning.

As you solidify your new knowledge by reviewing real-world examples and theories, you’ll develop critical employability skills and a foundational knowledge in Python to set yourself apart from other candidates when applying for jobs across a range of industries.

Boost your career with data analytics skills

This course will further any prior understanding you have of working with data and analytics, and you’ll be able to add Python skills to your CV.

Upon completion of the full ExpertTrack, you’ll have the knowledge and confidence you need to apply your skills in a real-world professional setting.

What topics will you cover?

  • Introduction to data analytics using Python
  • Statistics
  • Introduction to Python programming
  • Data structures, sequences and functions

Prove you're job ready

Highlight the new, job-relevant skills you’ve gained and supplement existing qualifications with a hard-earned, industry-specific digital certificate – plus one for every course within your ExpertTrack.

  • Learn the latest in your chosen industry or subject.
  • Complete each course and pass assessments.
  • Receive certificates validated by the educating organisation.
  • Impress employers with learning outcomes you can add to your CV.
  • Make your career dreams a reality.

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Learning on this course

You can take this self-guided course and learn at your own pace. 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...

  • Compare data analytics and advanced data analytics
  • Discuss fundamentals of statistics and its application in data analytics
  • Define loops, conditional logic, various data structures and collections in Python
  • Create and use functions in Python

Who is the course for?

This course is suitable for:

  • business analysts or junior data analysts looking to develop their advanced data analytics skills and programming capabilities to achieve career progression within data analytics
  • those with existing programming capabilities looking to start a career in data analytics
  • those lacking the programming capabilities to conduct more advanced data analysis and modelling

What software or tools do you need?

During the course 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

FutureLearn is jointly owned by The Open University and The SEEK Group and has been providing online courses for learners around the world over the last eight years.

In collaboration with

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Endorsers and supporters

endorsed by

Coventry University logo

About this ExpertTrack

Develop the fundamental Python programming knowledge and skills required to complete advanced analytics.

Start learning today - free 7-day trial

After your free trial you can:

  • Pay $39 per month to keep learning online
  • Have complete control over your subscription; you can cancel any time
  • Work at your own pace and set your own deadlines at every stage
  • Only pay while you’re learning; the subscription will cancel automatically when you finish
  • Complete online assessments to test your knowledge and prove your skills
  • Earn digital course certificates and a final award that you can share online, with potential employers, and your professional network
  • Keep access to the content of courses you complete even after your subscription ends

Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps, but you can complete them as quickly or slowly as you like
  • 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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Get a taste of this course

Find out what this course is like by previewing some of the course steps before you join:

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