Data Analytics
AED 1,288.00
USD 1 = 3.68 AED
USD 350 = 1,288 AED
This is a tutor lead online live class.
Duration – 4 weeks (weekends)
8 sessions of 2 hour live classes – making a total of 16 hours plus bonus additional pre recorded content.
Certification – AICPA/CIMA
Demand for tech and digital skills has increased across specific finance and accounting sectors over the past 12 months with Python (+33%) being one of the most requested digital skills required by employers. (Robert half & Burning Glass)
The days of finance professionals spending hours processing transactions and creating standard reports are fast becoming a distant memory. Today, rather than processing data, individuals working within the finance function are required to use and analyse it.
Finance professionals are now required to understand how best to leverage the vast amount of data available to the organisation. This requires an understanding of data analysis tools and techniques and how they may be deployed with the aim of uncovering meaningful insights from financial and non-financial data drawn from both internal and external sources.
Completing this course will enable you, as a finance professional, to understand the importance of data and data analysis in the finance function. An important aspect of this is how accountants and others leverage data to provide credibility to decision-making.
Description
This is a tutor lead online live class.
Gain expertise in Data Analytics to give yourself the edge and stay ahead of your competitors.
Duration – 4 weeks (weekends)
18 hours interactive session (will be recorded and made available to yo
Learning Objectives
After completing this course you should be able to recognise the importance of data and data analysis in the finance function.
This will be an 4 week course
Class timings – 7am GMT
| Saturday | Sunday |
| 15 Jan 2022 | 16 Jan 2022 |
| 29 Jan 2022 | 30 Jan 2022 |
| 12 Feb 2022 | 13 Feb 2022 |
| 26 Feb 2022 | 27 Feb 2022 |
8 sessions of 2 hour live classes – making a total of 16 hours plus bonus additional pre recorded content.
On successful completion of the course, a candidate will be able to:
-
- Understand characteristics of a dataset and do exploratory data analysis.
- Understand how to use python for exploratory data analysis.
- Understand how to train and build a simple predictive model using Python.
- Test accuracy of model and do predictions on future data using the predictive model.
