A Beginner's Guide to Data Management & Data Reporting

Embark on a transformative journey to master data analysis within Microsoft Excel with our comprehensive course. Tailored for those eager to elevate their analytical prowess, this programme delves deep into Excel's array of functionalities. Beginning with foundational data manipulation techniques, participants will swiftly progress to harnessing advanced capabilities.

Unlock the potential of your data through immersive learning experiences. Discover the power of Power Query to seamlessly transform data, while mastering the art of data analysis with Pivot Tables. Elevate your insights with dynamic visualisations, crafting compelling pivot charts and dynamic dashboards.

Join us and embark on a voyage of discovery, as we equip you with the skills and knowledge to excel in the realm of data analysis within Excel.

*Learners should have an internet-enabled laptop with Microsoft Excel version 2016 or later preinstalled and comfortable with with performing more advanced functions on Excel and familiar with HR data is recommended.

Earn A Professional Certificate in Data Analytics in 4 Days!

Aventis' Professional Certificate in Data Analytics series aims to provide beginners with a comprehensive understanding of the 4 pillars of data analytics: data management, data analysis, data visualisation, and data storytelling.

Complete these 4 courses and earn your Professional Certificate:

1. A Beginner's Guide to Data Management & Data Reporting
2. A Beginner's Guide to Data Analysis
3. A Beginner's Guide to Data Visualisation
4. A Beginner's Guide to Data Storytelling

By the end of the course, participants should be able to:

1. Use appropriate Excel functions for Data Management.

2. Use Power Query for Data Transformation.

3. Perform analysis using PivotTable.

4. Create Visualisations using PivotChart, and

5. Build interactive dashboard for business analysis.

This course is intended for anyone who wants to take the data analysis technologies in Excel beyond formulas and add more advanced capabilities such as interactive dashboarding to their repertoire of analytical skills. Participants job roles can include but not limited to the following:

·      Associate Data Analyst

·      Data Analyst

·      Data Officer

·      Associate Data Engineer

·      Data Engineer

·      Associate Data Scientist

·      Data Scientist

·      Business Analyst

·      Data Team Leader

Paul is a certified trainer with over 15 years of experience training corporate professionals in financial analysis, data modelling, and data visualization using advanced BI platforms. He is also an acquainted risk analyst and possesses rich domain knowledge in developing and deploying business insight with major analytical tools such as Power BI, Tableau, Qlik Sense, and Python for business analyses. As a well-versed practitioner and trainer in data analytics, several of his course plans using advanced BI platforms have been adopted by major learning hubs for both their public and corporate runs. Paul has a Bachelor of Business degree with distinction and holds double Master degrees in both Applied Finance and Accounting.