In-class attendance (Dublin) is now fully booked for this course. There is still limited availability for live streaming.
Contact Aisling at amooney@cpaireland.ie to be added to the cancellation list for Dublin
CPA Ireland Skillnet is excited to launch our new Diploma in Data Analytics, commencing in November 2019.
Data Analytics was one of the topics most requested by Members in our 2018 Training Needs Analysis Survey. This course will provide a high-level understanding of the main concepts associated with data analytics and how decision makers use analytics to formulate and support them in solving business problems and communicating that analysis to a management team.
This course is delivered over 5 full-day sessions (9:30am - 5pm) between November 2019 and March 2020. 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 at the end of the course.
Learning outcomes:
Upon completion of this course, attendees will have an understanding of:
-
Develop a broad insight, understanding and intuition of data analytic tools
-
Understand the full spectrum of skills pertaining to extracting knowledge from data
-
Recognize patterns and parameterize same
-
Acquire skills useful for explaining and documenting key business trends, risk and market intelligence
-
Develop a mastery of statistical techniques
-
Communicate Data Analysis to peers and professionals
-
Develop competence in Excel, Macro and VBA
-
Develop Data Visualization in Excel and RStudio
-
Perform Data Analysis in RStudio
-
Perform Data Analytics in Python
-
Develop a Statistical model for Credit and Market Risk
Course Content & Schedule:
Session 1: Friday 22nd November 2019 – Understanding Data Analytics
Session 2: Monday 9th December 2019 – Concepts and Methods
Session 3: Saturday 18th January 2020 – Applying Data Analytic Methods
Session 4: Friday 21st February 2020 – Analysing and Making Recommendations
Session 5: Friday 20th March 2020 – Anticipating Future Trends