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| data analytics skills list |
1. Data Mining: ability to extract meaningful insights and patterns from large datasets using tools like Python R SQL etc.
2. Statistical analysis: proficiency in statistical analysis and modeling techniques such as regression analysis time series analysis hypothesis testing etc.
3. Visualization: experience in creating data visualizations and dashboards using tools like Tableau Power BI matplotlib ggplot etc.
4. Machine Learning: familiarity with machine learning algorithms such as decision trees random forests neural networks support vector machines etc.
5. Predictive Analytics: ability to apply statistical and machine learning techniques to build predictive models that forecast future outcomes based on historical data.
6 Data Integration: expertise in integrating data from various sources using techniques like ETL data warehousing and data integration tools.
7. Data Governance: understanding of data governance principles and the ability to implement data governance policies procedures and best practices to ensure data quality and security.
8. Data Exploration: skill in exploring and identifying trends anomalies and patterns in data using exploratory data analysis techniques.
9. Python and R programming: proficiency in programming languages like Python and R which are widely used in data analytics.
10. Big Data technologies: knowledge of big data technologies like Hadoop Spark and NoSQL databases which are used for processing and analyzing large volumes of data.