# Telmai Academy

## Telmai Academy

- [Data Quality and Observability Academy](https://docs.telm.ai/academy/data-quality-and-observability-academy.md): Learn from top industry experts and level-up your data quality analysis and monitoring knowledge - for free.
- [Basics of Data Observability](https://docs.telm.ai/academy/basics-of-data-observability.md): High level understanding of Data Observability
- [Introduction - Indicators of Data Quality](https://docs.telm.ai/academy/data-quality-indicators/introduction-indicators-of-data-quality.md): This chapter focuses on six key data quality indicators: completeness, uniqueness, timeliness, validity, accuracy and consistency.
- [Selecting Data Quality Indicators](https://docs.telm.ai/academy/data-quality-indicators/selecting-data-quality-indicators.md)
- [Completeness](https://docs.telm.ai/academy/data-quality-indicators/completeness.md): Completeness,  is one the most basic and but crucial indicator of data quality
- [Uniqueness](https://docs.telm.ai/academy/data-quality-indicators/uniqueness.md)
- [Freshness](https://docs.telm.ai/academy/data-quality-indicators/freshness.md): Data thats been used is current and not stale and unreliable
- [Validity](https://docs.telm.ai/academy/data-quality-indicators/validity.md)
- [Accuracy](https://docs.telm.ai/academy/data-quality-indicators/accuracy.md): One of the most complex yet critical data quality indicator
- [Consistency](https://docs.telm.ai/academy/data-quality-indicators/consistency.md)
- [Data Lineage](https://docs.telm.ai/academy/data-quality-indicators/data-lineage.md): At Telmai we believe that even though not a Data Quality Indicator, Lineage is plays an important part in Data quality
- [Completeness](https://docs.telm.ai/academy/advanced-topic-implementing-dq-indicators/completeness.md)
- [Built-in](https://docs.telm.ai/academy/advanced-topic-implementing-dq-indicators/completeness/built-in.md)
- [User-Defined](https://docs.telm.ai/academy/advanced-topic-implementing-dq-indicators/completeness/user-defined.md)
- [Correctness](https://docs.telm.ai/academy/correctness.md): Validity + Accuracy
- [Categorical (Nominal or Ordinal)](https://docs.telm.ai/academy/correctness/categorical-nominal-or-ordinal.md)
- [Numerical (Discrete or Continuous)](https://docs.telm.ai/academy/correctness/numerical-discrete-or-continuous.md)
- [Structured](https://docs.telm.ai/academy/correctness/structured.md)
- [Semi-Structured](https://docs.telm.ai/academy/correctness/semi-structured.md)
- [Unstructured](https://docs.telm.ai/academy/correctness/unstructured.md)
- [Uncommon Types](https://docs.telm.ai/academy/correctness/uncommon-types.md)
- [Designated Values](https://docs.telm.ai/academy/correctness/designated-values.md)
- [Basics of profiling](https://docs.telm.ai/academy/profiling-data/basics-of-profiling.md)
- [Interactive Profiling](https://docs.telm.ai/academy/profiling-data/interactive-profiling.md)
- [Monitoring data quality](https://docs.telm.ai/academy/monitoring-data-quality.md)
- [Monitoring definitions](https://docs.telm.ai/academy/monitoring-definitions.md)
- [SLO](https://docs.telm.ai/academy/monitoring-definitions/slo.md)
- [SLI](https://docs.telm.ai/academy/monitoring-definitions/sli.md)
- [Policies](https://docs.telm.ai/academy/monitoring-definitions/policies.md)
- [Setting up policies and alerting](https://docs.telm.ai/academy/monitoring-definitions/setting-up-policies-and-alerting.md)
- [Monitoring Sources](https://docs.telm.ai/academy/monitoring-sources.md)