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
- Module 1: Introduction to Data AnalyticsUnderstand what data analytics is, why it is important, types of data, data analytics process, business applications, and career opportunities in data analytics.5
- Module 2: Data Collection and Data ManagementLearn how to collect data from different sources, organize datasets, understand data formats, manage records, and maintain data accuracy.5
- Module 3: Data Cleaning and PreparationStudy common data errors, duplicate records, missing values, inconsistent formats, data validation, and preparation of clean data for analysis.5
- Module 4: Excel for Data AnalyticsLearn essential Excel tools including formulas, functions, sorting, filtering, conditional formatting, tables, and data analysis features.5
- Module 5: Advanced Excel Functions for AnalysisPractice IF, IFS, SUMIF, COUNTIF, VLOOKUP, XLOOKUP, INDEX & MATCH, text functions, date functions, and logical functions for business reporting.5
- Module 6: Pivot Tables and Pivot ChartsLearn how to summarize large datasets, group data, create pivot tables, apply slicers, generate pivot charts, and prepare interactive reports.5
- Module 7: Basic Statistics for Data AnalyticsUnderstand mean, median, mode, percentage, variance, standard deviation, trends, comparison analysis, and basic statistical interpretation.5
- Module 8: Data Visualization PrinciplesLearn how to choose the right charts, use colors professionally, present data clearly, avoid misleading visuals, and communicate insights effectively.5
- Module 9: Dashboard Creation and Business ReportingCreate professional dashboards using KPIs, charts, tables, slicers, and summary reports for management decision-making.5
- Module 10: Introduction to SQL and DatabasesUnderstand basic database concepts, tables, rows, columns, records, simple queries, filtering data, and the role of SQL in data analytics.5
- Module 11: Introduction to Power BI / Data Visualization ToolsLearn the basics of Power BI or similar tools, importing data, creating visuals, building reports, and presenting interactive dashboards.5
- Module 12: Final Data Analytics ProjectComplete a practical data project using real or sample business data, including data cleaning, analysis, visualization, dashboard creation, and presentation.5
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