Advanced Excel Formulas and Functions Training Course
Operational reports, financial models and management packs often fail for avoidable reasons: formulas are copied with incorrect re…
Short courses and certifications in data analytics
26 courses
Operational reports, financial models and management packs often fail for avoidable reasons: formulas are copied with incorrect re…
Spatial decisions depend on more than plotting locations. Analysts must establish whether source data is fit for purpose, select a…
Large organisations collect data from transactions, customer interactions, devices, operational systems, documents and digital cha…
Poorly designed collection instruments create missing values, duplicate records, invalid skip patterns and delayed reporting. CSPr…
Organisations hold customer records, transactions, operational logs, documents and performance data, yet decision-makers often rec…
Organisations hold operational, customer, financial and service data but often struggle to turn it into defensible decisions. Anal…
Business analysts are increasingly expected to turn operational, customer, financial and service data into decisions that stakehol…
Business decisions often depend on fragmented operational data, inconsistent metrics and reports that describe activity without ex…
Managers are increasingly expected to explain what is happening in their services, operations, customers and finances using eviden…
Operational, customer, financial and programme data often arrives as inconsistent spreadsheets, extracts and system reports. Analy…
Many reports contain correct figures but still fail to support decisions. Readers struggle to identify the main message, compare p…
Business decisions often depend on reports and dashboards that are difficult to read, poorly matched to the question, or misleadin…
Many operational, policy and investment decisions are supported by reports but not by a clear chain from question to evidence, rec…
Excel is often the final destination for data from finance systems, CRM platforms, procurement records, HR files and operational t…
Business decisions often depend on spreadsheets that combine operational data, assumptions, forecasts and financial calculations. …
Qualitative evidence is often collected through interviews, focus groups, open-ended survey responses, field notes, policy documen…
Predictive analytics turns historical data into estimates of what is likely to happen next: which customers may leave, which loans…
Python is widely used to turn operational, financial, customer, service and research data into repeatable analysis. Yet many profe…
Quantitative data analysis is often slowed by inconsistent source files, unclear measures, manual spreadsheet work and charts that…
Decisions in public services, banking, humanitarian programmes and corporate operations often depend on data that is incomplete, c…
Research teams often hold survey extracts, administrative records, interview material and operational data without a clear route f…
Reliable analysis begins before the first chart or statistical test. Analysts often receive extracts with unclear codes, duplicate…
Organisations collect operational, customer, employee, programme and financial data, but decisions are often based on spreadsheet …
Stata is widely used to turn operational, survey, financial, public-sector and research data into evidence that can withstand revi…