Data Science - EGA Institute

Data Analytics Foundations

Learn to extract insights from complex data sets using industry-standard tools and techniques.

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Master descriptive and inferential statistics with Python/R for real-world applications.

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Create insightful dashboards using Tableau/Power BI for data storytelling.

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Transform raw data into actionable insights with SQL/Big Query workflows.

Build predictive models and AI systems using TensorFlow, PyTorch, and Scikit-learn.

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Design neural networks for computer vision, NLP, and generative AI applications.

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Clustering, dimensionality reduction, and anomaly detection techniques.

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A/B testing principles and deployment strategies for ML models.

Handle large-scale data pipelines using Hadoop, Spark, and cloud data platforms.

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Design scalable ETL processes using Hadoop/Spark clusters.

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Deploy and manage databases on AWS/Azure/Google Cloud platforms.

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Store and process petabyte-scale data with Snowflake/Redshift.