Professional Certificate in Data Analytics – Level 4
Course Overview: The Professional Certificate in Data Analytics – Level 4 is a career-focused programme designed to introduce learners to the practical skills required to collect, organise, clean, analyse, visualise and present business data. Learners will build confidence in Excel, advanced Excel functions, pivot tables, pivot charts, basic statistics, data visualisation principles, dashboard creation, SQL and database awareness, Power BI or similar data visualisation tools, and a final practical analytics project. This programme is suitable for beginners, students, office staff, administrators, business professionals, finance assistants, sales support staff and anyone who wants to start a career in data analytics or improve decision-making through data.
Curriculum
- 12 Sections
- 60 Lessons
- 12 Weeks
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- Module 1: Introduction to Data Analytics5 ItemsUnderstand what data analytics is, why it is important, types of data, data analytics process, business applications, and career opportunities in data analytics.
- Module 2: Data Collection and Data Management5 ItemsLearn how to collect data from different sources, organize datasets, understand data formats, manage records, and maintain data accuracy.
- Module 3: Data Cleaning and Preparation5 ItemsStudy common data errors, duplicate records, missing values, inconsistent formats, data validation, and preparation of clean data for analysis.
- Module 4: Excel for Data Analytics5 ItemsLearn essential Excel tools including formulas, functions, sorting, filtering, conditional formatting, tables, and data analysis features.
- Module 5: Advanced Excel Functions for Analysis5 ItemsPractice IF, IFS, SUMIF, COUNTIF, VLOOKUP, XLOOKUP, INDEX & MATCH, text functions, date functions, and logical functions for business reporting.
- Module 6: Pivot Tables and Pivot Charts5 ItemsLearn how to summarize large datasets, group data, create pivot tables, apply slicers, generate pivot charts, and prepare interactive reports.
- Module 7: Basic Statistics for Data Analytics5 ItemsUnderstand mean, median, mode, percentage, variance, standard deviation, trends, comparison analysis, and basic statistical interpretation.
- Module 8: Data Visualization Principles5 ItemsLearn how to choose the right charts, use colors professionally, present data clearly, avoid misleading visuals, and communicate insights effectively.
- Module 9: Dashboard Creation and Business Reporting5 ItemsCreate professional dashboards using KPIs, charts, tables, slicers, and summary reports for management decision-making.
- Module 10: Introduction to SQL and Databases5 ItemsUnderstand basic database concepts, tables, rows, columns, records, simple queries, filtering data, and the role of SQL in data analytics.
- Module 11: Introduction to Power BI / Data Visualization Tools5 ItemsLearn the basics of Power BI or similar tools, importing data, creating visuals, building reports, and presenting interactive dashboards.
- Module 12: Final Data Analytics Project5 ItemsComplete a practical data project using real or sample business data, including data cleaning, analysis, visualization, dashboard creation, and presentation.
This course is suitable for beginners, students, office staff and professionals who want to learn practical data analytics, Excel reporting, dashboards, SQL basics and Power BI awareness.
No advanced experience is required. Basic computer knowledge and willingness to learn Excel and reporting tools are recommended.
Yes. The course includes data cleaning, Excel tasks, pivot tables, charting, dashboard practice, basic SQL awareness and a final data analytics project.
Learners will study Excel, advanced Excel functions, pivot tables, pivot charts, dashboard concepts, basic SQL and Power BI or similar data visualisation tools.
Yes. Learners complete a practical data analytics project involving data cleaning, analysis, visualisation, dashboard creation and presentation.
Upon successful completion, learners will receive the Professional Certificate in Data Analytics – Level 4. Certification options may depend on programme structure.
Yes. It can support careers in administration, business reporting, data support, finance support, sales analysis, operations and entry-level data analytics roles.
Study mode may include classroom, online or blended learning depending on the current batch schedule.
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