Data Science Projects and Applications

August 06, 2022

Data Science Projects and Applications

Investigate the concepts and theories of applied data science needed to store, manipulate, and visualise huge amounts of data.

Data Science Projects and Applications
  • Get access to 1,000's of courses
  • Learn at your own pace
  • Digital certificate when eligible

Find out more about how to join this course

Learn practical skills for a career in data analysis or data science

Data science allows organisations to understand and interpret swathes of data and gain insights that allow for smarter decision making, driven by data.

This two-week course provides an overview of the key concepts in data science, from understanding regression to using K-means clustering.

Discover new data analysis techniques through engaging data science projects

Whether you’re beginning a career in data science or want to understand your organisation’s data better, this course will strengthen your knowledge of data analysis tools and techniques.

You’ll complete practical projects that will demonstrate real-world applications of data science. This will allow you to assess different data science scenarios and choose the best approach, grounded in a broad knowledge of data analysis methodology.

Explore data visualisation tools and methods

You’ll delve into different types of data analysis and explore how to create effective data visualisation using MySQL. Using case studies as a starting point, you’ll discover step-by-step data visualisation processes, from gathering the data to displaying the output.

With this knowledge, you’ll be able to solve problem statements with data visualisation and be able to apply this knowledge to your own work.

Develop your data manipulation and interpretation skills

Having explored data analysis methods, you’ll then learn to evaluate and interpret this data in a meaningful way.

With a solid understanding of how to collect, review, and evaluate data, you’ll be able to explain your findings and the supporting methodology.

By the end of this course, you’ll understand applied data science methods and concepts. You’ll have gained insights into a variety of analytical approaches to data and be able to use these to interpret data effectively.



What topics will you cover?

This video course will help you to learn the important concepts and theories of applied data science that you need to know to store, manipulate, and visualize huge chunks of data.

The course starts with an introduction to applied data science and a tutorial on how to set up a Jupyter notebook. You’ll then go on to understand linear regression using Boston data. As you advance, you’ll discover data visualization techniques and explore time series and data evaluation. You’ll also get to grips with extended data analysis with the help of a temperature analysis activity. Toward the end, you’ll be introduced to k-means clustering and gain a solid understanding of decision trees.

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Learning on this course

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...

  • Classify effective data science techniques
  • Explore relevant data science case studies
  • Practice your learnings on your own projects

Who is the course for?

This course is designed for anyone interested in learning about data science, particularly those looking to begin a career in data science of analytics. It would also be suitable for those wanting to better understand their organisation’s data and how to use and interpret it effectively.

Cloud Computing for Beginners

August 06, 2022

Cloud Computing for Beginners

Explore the key characteristics of the Cloud and how you can improve computing processes with Cloud services.

Cloud Computing for Beginners
  • Get access to 1,000's of courses
  • Learn at your own pace
  • Digital certificate when eligible

Find out more about how to join this course

Discover the benefits of Cloud computing

Over recent years, the Cloud has completely revolutionised approaches to computing processes.

On this two-week course, you’ll learn how to define the Cloud and develop knowledge of its infrastructure and services. You’ll understand how Cloud services evolved to meet changing user needs and learn a variety of Cloud applications and uses.

Examine the basics of Cloud infrastructure

Cloud computing has five foundational characteristics that set it apart from earlier computing iterations.

You’ll learn about these characteristics in detail, from on-demand self service to resource pooling, and discover how they can help optimise processes in conjunction with current and emerging technologies.

Using relatable examples, you’ll be able to contextualise and frame each characteristic within your own work, identifying areas for development.

Learn the fundamentals of Cloud services and Cloud deployment models

On this course, you’ll learn about Cloud service models (Saas, Iaas, and PaaS), as well as deployment models (hybrid, private, and public Cloud) and understand their different applications.

By doing so, you’ll discover how Cloud computing meets the needs of users at a variety of levels and know when to implement each of these services and models.

Explore Cloud service providers and their uses, from Azure functions to AWS services

From Microsoft Azure to Amazon Web Services, different organisations are in competition to provide the best Cloud services to its users.

You’ll explore two of the big players in Cloud services and start using both Azure and AWS to improve your Cloud management.

By the end of this course, you’ll understand Cloud computing and its applications for individuals and businesses. With this knowledge, you can begin to develop a career as a cloud practitioner. 

Syllabus

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Learning on this course

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...

  • Describe the need for and importance of cloud computing for personal and business use.
  • Identify cloud computing software suites to create rudimentary cloud computing networks.
  • Evaluate cloud computing capabilities, needs, and execution requirements based on service availability.
  • Compare cloud computing services based on computing needs.
  • Create cloud computing management accounts on different platforms.
  • Investigate cloud computing platforms for business or personal use cases.

Who is the course for?

This course is designed for those wanting to gain an introductory knowledge of Cloud Computing. No prior knowledge is necessary, so it is perfect for management and leaders wishing to better understand their IT processes, as well as those considering a future career in computer networks.

What software or tools do you need?

You’ll need to create cloud computing accounts online, and download or run software on a remote cloud computing instance of Windows operating system. We’ll show you how on the course.



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