Course Description
Data Science
Digital Skills Academy
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.
On completion of this course, participants will have covered:
- 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
College Name | Digital Skills Academy |
Course Category | Computers & IT (Information Technology), Python Programming |
Course Type | Online Learning |
Course Location | Dublin City South, Dublin, Ireland |
Location Postcode | Dublin 8 |
Course Start Date | 4th December 2017 |
Course End Date | 23rd February 2018 |
Course Fee | POA |
Course Duration | 12 weeks plus final assessment |
Entry Requirements | Strong numeracy Experience working with Excel Knowledge of programming, preferably in Python Coding experience in a least one language Experience of database technology including the relational data model and NoSQL Experience of statistics and statistical modelling Excellent written and oral communications skills Experience with business and technical reporting As part of our application process, participants will also take a simple, online suitability assessment for their chosen course. Based on their answers, this will confirm that participants have the skills and experience required for a successful outcome. |