• Anytime
    Application Deadline
  • 3 months
This Data Analytics Using Python ExpertTrack at FutureLearn 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.
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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.

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.

Key skills you will learn during the  Data Analytics Using Python ExpertTrack at FutureLearn

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

Detailed Programme Facts

  • Deadline and start date A student can apply at any time for this programme, there is no deadline.
  • Programme intensity Part-time
    • Average part-time duration 3 months
    • Duration description

      Approx 12 weeks

      4 hrs per week

  • Languages
    • English
  • Delivery mode
    • Time flexibility

Programme Structure

Courses include

  • Data Analytics Using Python: Statistics and Analytics Fundamentals
  • Data Analytics Using Python: Learning Python Functions
  • Data Analytics Using Python: Data Wrangling and Ingestion

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

  • 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 the courses in this ExpertTrack.

Tuition Fee

  • International

    39 USD/module
    Tuition Fee
    Based on the original amount of 39 USD per module and a duration of 3 months.
  • National

    39 USD/module
    Tuition Fee
    Based on the original amount of 39 USD per module and a duration of 3 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.



Check the programme website for information about funding options.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Data Analytics Using Python
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