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Data Science With AI in GTB Nagar, Delhi

Data Science With AI

Learn Data Science using AI tools

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This course provides an in-depth exploration of Data Science with the power of Artificial Intelligence (AI). It blends classical data science workflows with modern AI tools to enhance data analysis, visualization, prediction, and automation.

Duration

10 Months

Hours

Monday to Friday - 1.5 Hr Per Day

Future Scope of Data Science

1. Massive Industry Demand : Companies across sectors - finance, healthcare, e-commerce, manufacturing, and education—are increasingly dependent on data-driven strategies.

2. Integration with AI & Automation : Data science is the backbone of Artificial Intelligence, powering applications in autonomous vehicles, voice assistants, recommendation engines, and more.
With automation trends rising, data scientists will lead efforts in machine learning model development, predictive analytics, and AI ethics.

3. Real-Time Analytics & IoT : With the rise of IoT (Internet of Things), real-time data analysis will be crucial in smart cities, homes, and industries.

4. Evolving Tools and Technologies : Advancements in AutoML, Quantum Computing, Cloud Platforms, and Big Data tools (like Apache Spark, Snowflake) will redefine how data science is practiced.

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Top Career Roles in Data Science

Data Scientist : Extract insights from data using statistical methods, machine learning, and data visualization.

Data Analyst : Analyze structured data to identify trends and support business decisions.

Data Engineer : Build and maintain data pipelines and infrastructure for data storage, processing, and retrieval.

Machine Learning Engineer : Design and implement machine learning models and deploy them into production systems.

Statistician : Use mathematical theories and statistical methods to analyze data and make predictions.

Business Intelligence (BI) Analyst : Convert data into insights for strategic business decisions using dashboards and reporting tools.

Data Architect : Design high-level database and information architecture to support analytics needs.

AI/Deep Learning Engineer : Specialize in building deep neural networks for tasks like image recognition, NLP, and autonomous systems.

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