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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Endorsed by

Coventry UniversityCoventry University

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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

    1 test

    4 weeks

    4 hours per week

    • Week 1

      Getting to know advanced analytics
      • Welcome to the course
      • Opportunities in data anlytics
      • Leveraging advanced data analytics for business
      • Wrap-up
    • Week 2

      Introduction to Python
      • Introduction to Python setup
      • Python overview and development environmental setup
      • Wrap-up
    • Week 3

      Python variables, data types
      • Introduction to Python variables and data types
      • Data types and variables in Python
      • Control flow expressions and loops in Python
      • Wrap-up
    • Week 4

      Python data structures
      • Introduction to Python data structures
      • Data structures in Python
      • Functions in Python
      • Wrap-up
  • Course 2

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

    1 test

    4 weeks

    4 hours per week

    • Week 1

      Python packages: NumPy
      • Welcome to the course
      • Python Modules and Packages
      • Getting started with NumPy and Arrays
      • Wrap-up
    • Week 2

      NumPy: Essential operations and functions
      • Introduction to operations and functions in NumPy
      • Operations and functions in NumPy
      • Wrap-up
    • Week 3

      Python package: Pandas
      • Introduction to Pandas
      • Getting Started with Pandas
      • Data structures in Pandas
      • Wrap-up
    • Week 4

      Pandas: Essential operations and functions
      • Introduction to operations and functions in Pandas
      • Operations and functions with Pandas DataFrames
      • Wrap-up
  • Course 3

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

    1 test

    4 weeks

    4 hours per week

    • Week 1

      Data ingestion using Python I
      • Welcome to the course
      • Introduction to data ingestion using Python
      • Reading data: Text and csv formats
      • Missing data: Text and csv formats
      • Wrap-up
    • Week 2

      Data ingestion using Python II
      • Introduction to advanced data ingestion using Python
      • Reading data: JSON, HTML, XML, and SQL
      • Wrap-up
    • Week 3

      Data wrangling using Python I
      • Introduction to data wrangling using Python
      • What is Data Wrangling?
      • Data wrangling: concat ()
      • Data wrangling: merge ()
      • Manipulating and transforming data in Python
      • Wrap-up
    • Week 4

      Data wrangling using Python II
      • Introduction to advanced data wrangling using Python
      • Data Wrangling: GroupBy mechanics
      • Wrap-up

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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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.

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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.

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

World-class learning with 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.

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.

This ExpertTrack is endorsed by Coventry University

This ExpertTrack is endorsed by Coventry University and delivered by FutureLearn as a quality professional development programme.

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.

Learning on FutureLearn

Your learning, your rules

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  • 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
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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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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.

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