This learner has completed ID verification. Find out more.

Certificate of Achievement

VICENTE JORGE SANCHIS RICO

has completed the following course:

Applied Data Science

Coventry University and Institute of Coding

Leaners were introduced to the tools and techniques used in applied data science. They explored the answers to important questions asked of business professionals today, such as why data science and machine learning have become so prevalent and what problems data science can address. They had the opportunity to improve their understanding of the fundamental aspects of applied data science methods and learnt how to apply their newly acquired knowledge for the benefit of their organisation.

2 weeks, 6 hours per week

Mark Levene

Professor of Computer Science

Birkbeck, University of London

Transcript

Learning outcomes

  • Describe the principle methods of data cleaning and preparation, including working with unstructured text data
  • Identify different features in a distribution and the resulting meaning
  • Compare different visualisation techniques
  • Explore and interpret visualised data
  • Modify underlying Python code to change the look of a visualisation
  • Explore the use of multidimensional data using the example of geolocation
  • Identify patterns in data using clustering and classification techniques
  • Discuss the ethical considerations in the use of data for data science
  • Explore the use of data transformations involving different types of data and representation: text to vectors, n-grams, tagging data
  • Explain the purpose of distance metrics in high-dimensional data
  • Apply clustering to high-dimensional data
  • Explore how you can extract data from social repositories
  • Compare and contrast supervised and unsupervised models
  • Describe the core concepts behind neural networks and their applications
  • Compare the advantages and disadvantages of NN over other classification methods
  • Evaluate the results of machine learning algorithms based on simple techniques

Syllabus

  • The terminology used in the data science sector
  • Curve fitting and plotting of statistical distributions
  • Visualisation techniques
  • Making use of geolocation data
  • Classification and clustering
  • Feature extraction
  • Clustering text
  • Supervised and unsupervised learning
  • Application of machine learning to text and images

Issued on 22nd January 2021

The person named on this certificate has completed the activities in the transcript above. For more information about Certificates of Achievement and the effort required to become eligible, visit futurelearn.com/proof-of-learning/certificate-of-achievement.

This certificate represents proof of learning. It is not a formal qualification, degree, or part of a degree.

Free online course:

Applied Data Science

Coventry University