Online ExpertTrack in Business & Management

Data Analytics Using Python

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

Created by

FutureLearnFutureLearn

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In collaboration with

GitHubGitHub

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  • DurationApprox 12 weeks

    4 hrs per week

  • CertificatesEarn course Certificates
  • 100% onlineLearn at your own pace
  • Cost$39/monthFind out more
  • LevelIntermediateSee requirements

Develop practical data analytics skills using Python

Do you want to get started with advanced analytics and learn how to leverage Python? As businesses increasingly rely on technology to carry out complex mathematical calculations, data professionals need strong quantitative skills and a high-level understanding of the models used and how they can be employed to solve challenges.

This ExpertTrack will help you to progress your career in data analytics using Python; a programming language that allows you to work quickly and integrate systems effectively.

Learn how to collect, manipulate, and organise data

In order to be valuable, the data produced by an organisation must be organised and structured in a way that can be analysed to draw conclusions.

You’ll learn the importance of collecting, organising and manipulating large amounts of data using databases and other technologies.

Explore the data applications of Python

This series of courses will teach you how to develop and utilise critical elements of Python, and demonstrate data ingestion using Python and various data types and sources.

By the end of this ExpertTrack, you’ll have a deeper understanding of working with data and analytics, and a foundational knowledge of Python.

Expand your career options in the data industry and beyond

The global big data industry is worth over $100 billion and is set to almost double by 2025, providing a huge number of lucrative and rewarding career options around the world.

But, data skills are in demand across almost every industry. According to PWC, finance, insurance, healthcare, manufacturing, professional services, and retail trade all have high demand for data-driven decision makers, functional analysts, data engineers, and data analysts.

Combining an understanding of data analysis with coding abilities is another way to stand out as a candidate and boost your long-term career prospects.

Industry statistics

  • Median base salary£45,000
  • UK job openings/month 1,724

Key skills you will learn

  • Python
  • Data Analytics
  • Advanced data analytics
  • Data wrangling
  • Descriptive statistics
  • Fundamental statistics

Learning outcomes

By the end of the ExpertTrack, you’ll be able to...

  • Compare data analytics and advanced data analytics
  • Develop and utilise critical elements of programming language, Python
  • Build and apply practical skill sets to complete data exploration and visualisation
  • Demonstrate data ingestion using Python and various data types and data sources
  • Demonstrate various data processing activities using data query language and data manipulation language.

Experience required

There are no prerequisites to enrol on this data analytics course, but it’s recommended that you have some prior knowledge or experience working with data statistics, using spreadsheets.

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

Getting started

On this ExpertTrack, you’ll become familiar with analytics techniques and the best-practice use cases of each, while developing fundamental Python programming knowledge and skill. It’s suitable for:

*business analysts or junior data analysts looking to develop advanced data analytics skills and programming capabilities to advance in data analytics * individuals with existing programming capabilities looking to enter the data analytics field * those lacking the programming capabilities to conduct more advanced data analysis and modelling.

ExpertTrack course overview

  • Course 1

    Learn the fundamentals of statistics and data analysis using Python

    4 weeks

    4 hours per week

    • Week 1

      Introduction
      • Welcome to the course!
      • Introduction to Data Analytics
      • Introduction to Advanced Data Analytics
      • Wrap-up
    • Week 2

      Statistics
      • Introduction
      • Fundamental Statistics I
      • Fundamental Statistics II
      • Statistics in action using Excel
      • Wrap-up
    • Week 3

      Introduction to Python programming
      • Introduction
      • Python overview and development environment setup
      • Python language basics
      • Wrap-up
    • Week 4

      Data structures, sequences and functions
      • Introduction
      • Python Data Structure, Sequences and Functions
      • Wrap-up
  • Course 2

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

    4 weeks

    4 hours per week

    • Week 1

      Python modules and packages and getting started with NumPy
      • Introduction
      • Python Modules and Packages
      • Getting Started with NumPy
      • Wrap-up
    • Week 2

      Getting started with Pandas
      • Introduction
      • Getting Started with Pandas
      • Wrap-up
    • Week 3

      Data ingestion using Python I
      • Introduction
      • What is data ingestion?
      • Data ingestion using Python
      • Wrap-up
    • Week 4

      Data ingestion using Python II
      • Welcome to Week 4
      • Data ingestion continued
      • Wrap-up
  • Course 3

    Enhance your understanding of Python by diving deeper into functions including data wrangling, manipulation and transformation.

    4 weeks

    4 hours per week

    • Week 1

      Data wrangling using Python I
      • Introduction
      • What is data wrangling?
      • Data wrangling using Python
      • Wrap-up
    • Week 2

      Data wrangling using Python II
      • Introduction
      • Data wrangling using Python II
      • Wrap-up
    • Week 3

      Designing databases
      • Introduction
      • Designing databases
      • Wrap-up
    • Week 4

      Introduction to SQL
      • Introduction
      • Introduction to SQL
      • SQL for data analysis
      • Wrap-up

How ExpertTracks work

Join an ExpertTrack to master new skills in your chosen specialist area. Work through a series of topic-focused courses at your own pace, and pass the final assessment to earn a digital certificate award which proves your expertise.

Join a free 7-day trial

Decide if the ExpertTrack is right for you with free access to the full suite of courses and assessments for a week.

Keep learning for $39/month

Pay a monthly subscription fee of $39 for as long as it takes you to complete the ExpertTrack. You can learn at your own pace and cancel at any time.

Earn digital certificates

Receive a certificate for every completed course and pass the final assessment to earn a digital certificate that you can share with your professional network.

Become an expert

Use your specialist training to progress further in your career or build expertise in areas you’re passionate about.

World-class learning with FutureLearn

The social learning platform with hundreds of online courses from a quarter of the world’s top universities.

This ExpertTrack is in collaboration with GitHub

With insights provided by leading industry technology partner GitHub, learn to drive business success through data analytics using Python.

Meet your instructor

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.

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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
  • FAQ

    ExpertTracks are a series of online courses designed to help you master new skills in specialist areas. You pay a monthly subscription fee which includes access to all courses within the ExpertTrack, as well as assessments and the final digital certificate.

    Each ExpertTrack comes with a 7-day free trial period. You may cancel your subscription at any time and your subscription will automatically cancel when you finish the courses and assessments in your chosen ExpertTrack.

    Yes. All of our ExpertTracks come with a 7-day free trial. You may claim one free trial period per ExpertTrack.

    You have seven days before you will be charged your first monthly subscription fee. When you join an ExpertTrack you automatically receive a 7-day free trial period. You can cancel at any time during the trial period and no payment will be taken from your account.

    Please see our full refund policy here.

    No, all of our ExpertTracks consist of fully online courses. This means you can take an ExpertTrack from anywhere in the world.

    No. ExpertTracks are designed for you to master new skills in a specialist area. You will earn a digital certificate that proves your learning, but it does not carry accreditation.

    If you’re looking for certified or accredited courses, many of our microcredentials offer university credit or professional certification.

    Have more questions about ExpertTracks? Read the ExpertTracks FAQs, or contact us.