Data Analyst Checklist for Tools and Technologies
Data Wrangling Tools:
- Pandas: Data manipulation, cleaning.
- NumPy: Numerical operations, array manipulation.
Statistical Software:
- R: Statistical analysis, data visualization.
- SAS: Data management, predictive modeling.
Data Visualization Tools:
- Tableau: Interactive dashboards.
- Power BI: Reports, dashboards.
- Matplotlib: Visualizations.
- Seaborn: Statistical visualizations.
Database Management:
- SQL: Query writing, optimization.
- SQL Server Management Studio (SSMS): Database administration.
Big Data Tools:
- Hadoop: Data processing, HDFS.
- Spark: Fast data processing.
Machine Learning:
- Concepts: Supervised/unsupervised learning.
- Libraries: scikit-learn, TensorFlow.
Collaboration Tools:
- Jupyter Notebooks: Interactive analysis.
- Google Colab: Cloud-based Python execution.
Cloud Platforms:
- AWS: S3, EC2, RDS.
- GCP: BigQuery, Cloud Storage.
- Azure: Data Lake, SQL Database.
