Data Science

This online Data Science is listed on Nightcourses.com and taught by Digital Skills Academy.

The course introduces participants to Data Science concepts, principles of statistical analysis, data interpretation techniques, aspects of probability models, data cleaning and manipulation, pattern recognition and learning and statistical methods.

Participants will use the Python Programming language to solve work-based big data problems, learn how to classify data sets into structured, semi-structured and unstructured data and apply their own code to work with this data. The course also introduces predictive analytics and Machine Learning

To ensure the analysed data is comprehensible to other parts of the business, participants will learn how to present compound data sets through data visualisation for reporting and plot types and develop their critical thinking skills.

This course is for participants looking to gain a range of skills necessary to structure data in a concise and creative manner. This delivers high value benefits for organisations that are looking to expand digital skills amongst their existing talent pool.

Firstly, the field of Data Science fosters data-driven approaches to strategy formulation, enabling organisations to strengthen competitive advantage and achieve growth objectives. Secondly, upskilling is a vital enabler of recognition and retention for critical staff.

• Introduction to Python Programming
• Data scraping, parsing and down-sampling
• Data set fusion, filtering, slicing and dicing
• Schema validation and reconciliation
• Data manipulation, array programming, data frame
• Sources of data problems
• Statistical distribution fitting and statistical significance of fitting
• Co-occurrence grouping of data
• Introduction to Machine Learning
• Introduction to plot types and visualisation to large data sets