Please note that the pre-course workshop took place on 23rd September and ran for aproximately 90 minutes. This workshop was recorded. The purpose of the workshop was to ensure that all participants have correctly set up any software and packages that will be used on the course and to troubleshoot any issues. Course material was not covered in the workshop. If you enrol on the Diploma in Data Analytics, you will need to review the recording and run though all of the testing covered in the workshop at least one week in advance of the first full day session on 21st October.
Due to the continued success of the Diploma in Data Analytics, we are delighted to annouce the next intake of this course will begin in September 2022. This course will provide a high-level understanding of the main concepts associated with data analytics through the use of Rstudio and Excel. The course will teach you the tools to help you use analytics to formulate and support them in solving business problems and communicating that analysis to a management team.
The Diploma in Data Analytics is approved by the Analytics Institute of Ireland for dual accreditation. This means that anyone who has successfully completed the Diploma in Data Analytics, will be eligible for this dual qualification and will now have the opportunity to register as a Certified Business Data Analyst with The Analytics Institute of Ireland.
This course is delivered over 5 full-day sessions (9:15am - 4:45pm) between September 2022 and March 2023. Participants will earn 8 CPD hours for each session (40 hours for the full course). Participants will be given access to our online learning management system, Canvas, where additional resources and activities will be made available.
In order to gain the Diploma, participants must successfully complete an assessment (assignment and examination)
Learning outcomes:
Upon completion of this course, attendees will have an understanding of:
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Data Analytics Tools: Acquire skills you can exercise in your work and develop an appreciation of how data-driven models can enhance your capacity to make prompt, more informed decisions.
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Data Visualization and Data Transformation Skills: Develop skills to clearly report your analysis to all relevant stakeholders. Learn to evaluate the reliability of data, extract key business insights, and apply modelling to predict future trends.
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Excel and RStudio: Acquire training in Excel and RStudio for filtering small and large datasets, graphing same using RStudio Tidyverse. IBM Watson studio will also be introduced.
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Machine Learning Techniques: Demonstrate your capacity to apply your data skills, leverage data using standard machine learning techniques and extract business insights often hidden in unrefined data banks.
Course Content & Schedule:
Workshop: Friday 23rd September 2022 (2pm - 3:30pm) – Compulsory Workshop (this session was recorded and must be watched at least one week in advance of the first class on 21st October)
Session 1: Friday 21st October 2022 – Intro to data and descriptive stats
Session 2: Friday 2nd December 2022 – Model estimation and evaluation
Session 3: Friday 13th January 2023 – Models of qualitative choice and machine learning
Session 4: Friday 17th February 2023 – Risk models and predictive analysis
Session 5: Friday 10th March 2023 – Exam review