Data Analytics: 21 Key Concepts to Know 📊

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On the surface, databases, data lakes, and warehouses seem similar, but oddly enough, knowing their differences can make or break your data career.

In this video, I explain key data concepts like databases, data lakes, warehouses, and marts, plus essential analytics terms, coding languages, data processing, and reporting to help you ace interviews and excel in data roles.

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🔎 CONTENT
0:00 Introduction to Data Concepts
2:11 Data Categories: Structured, Semi-structured, and Unstructured
4:59 Data Storage: Database, Data Lake, Data Warehouse, and Data Mart
8:21 SQL vs Python: Different Languages for Data
10:35 Data Processing: Data Modeling, Pipelines, ETL and ELT
16:06 Data Analysis Techniques: Descriptive and Inferential Statistics
20:51 Reporting and Visualization: KPIs, OKRs, and Metrics
24:19 Conclusion and Further Learning

#DataAnalytics #DataScience #DataEngineering