Weekly study3 hours
Introduction to Python for Big Data Analytics
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Delve into the fundamentals of data analysis
Big data analytics is essential for businesses and organisations, providing them with insight into patterns and trends, and enabling faster, innovative solutions and decision-making.
This three-week course from Edge Hill University will introduce you to the main concepts of data analytics, its theoretical frameworks and practical applications for modern science, business, digital technology, and security.
Discover the functionality of Python as a data analytics tool
Python has been established as the perfect programming language for big data. Its straightforward syntax and code execution means that Python is able to process data at rapid speeds, resulting in highly efficient operation.
You’ll learn techniques to import, process, and visualise data sets using Python to simplify the data analytics process.
Explore case studies and implement solutions using Python programming
On this course, you’ll have access to a choice of four case studies covering topics such as criminology, IoT Industry 4.0, and biological sciences.
With the guidance of your educators, you’ll be able to recognise the importance of big data in the context of the case studies and use Python tools to build efficient and inventive solutions.
Learn about big data with the experts at Edge Hill University
The Computer Science department at Edge Hill University is a thriving, international community of students and staff committed to teaching and research excellence, professional practice, interdisciplinary collaborations, and partnerships.
You’ll work with experts in the field of data science who will teach you the knowledge and skills you need to use data analytics to create smart solutions for various sectors of industry.
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...
- Demonstrate an understanding of general data analysis topics as well as those directly relevant to each strand.
- Assess a range of Python tools and implementation relevant to each strand.
- Identify, design, and implement a solution based on the corresponding case study.
- Visualise and assess the identified solutions.
Who is the course for?
This course is designed for STEMM graduates looking to utilise big data analytics in their work.