Fundamentals of Data Science (Technical)
University of Southampton - Offered by CEG Digital, United Kingdom
Total Course Fee
USD 2,090
Course Accredited By
PC
This course will equip you with the specialist knowledge and technical skills you need to effectively apply the powerful tools and insights of data science to your work.
Key benefits:
- Tutor-led - University of Southampton academics will guide you through the content and answer your questions, providing the support you need
- Continuing Professional Development (CPD) accredited - this will help you demonstrate your commitment to upskilling at your next work appraisal
- Hands-on - learn how to apply AI capabilities within your own workplace
- Developed by our pioneering Data Science team - the University of Southampton is ranked among the top 100 universities globally
- In today’s data-driven economy, an organisation’s success or failure can rest on its ability to leverage insights and develop business critical analytics.
- This 6-week part-time, online course is designed to introduce you to the theoretical components of data science and give you hands-on experience in producing solutions to data science problems using Python.
- This course will build on your existing data skills and arm you with the practical capabilities to deliver an immediate impact on day-to-day business. You’ll take a hands-on approach to learning data skills through interactive exercises that will offer more exposure to Python and allow you to try out many of the techniques and concepts covered in the taught material.
- With our support, you will extend your knowledge and expertise across data mining, machine-learning, and data visualisation to become a highly-skilled data scientist
Enrollment Cycles
- February 2024
- A basic understanding of programming is required; some experience with Python or with a similar language is recommended
The course runs over 6 weeks and is broken down into manageable weekly topics:
Week 1:
- Welcome and course information
- Welcome and introduction to the course
- What data science is and why it’s important
- A ‘hands-on’ Jupyter familiarisation activity
- Python Primer
- Glossary of terminology
Week 2:
- Introduction to core concepts and technologies
- The data science process
- A data science toolkit
- Types of data and example applications
Week 3:
- Data collection and management
- Sources of data
- Data collection and APIs
- Exploring and fixing data
- Data storage and management
- Using multiple data sources
Week 4:
- Data analysis
- Introduction to statistics
- Basic machine-learning algorithms
Week 5:
- Data visualisation
- Types of data visualisation
- Data for visualisation
- Technologies for visualisation
Week 6:
- Future of data science
- An exploration of the future of data science
After successfully completing the course, you’ll be able to:
- Understand key concepts in data science and their real-world applications
- Explain how data is collected, managed and stored in the context of data science
- Implement data collection and management scripts using MongoDB
- Demonstrate an understanding of statistics and machine-learning concepts vital for data science
- Produce Python code to statistically analyse a dataset
- Plan and generate visualisations from data using tools such as Python and Bokeh
- Work effectively with live data and utilise the opportunities presented by cloud services
- Course fee: £1500