Industry-Ready IoT Training Program
Branch : CSE
The Data Science course is designed to equip learners with the skills and knowledge needed to extract meaningful insights from complex data. It covers the entire data science pipeline, including data collection, cleaning, exploration, analysis, visualization, and predictive modeling. Students learn key tools and technologies such as Python, R, SQL, Excel, and popular libraries like Pandas, NumPy, Scikit-learn, and TensorFlow. The course also introduces machine learning algorithms, statistical methods, and real-world applications across various industries. Emphasis is placed on hands-on projects, enabling learners to apply concepts to solve practical problems. Ideal for aspiring data scientists, analysts, and professionals looking to make data-driven decisions, the course prepares students for high-demand roles in the rapidly evolving data landscape.
Understand the core concepts of data science, including data analysis, statistics, and machine learning.
Gain proficiency in programming languages and tools commonly used in data science, such as Python, R, SQL, and Excel.
Learn to collect, clean, process, and analyze large datasets from various sources.
Apply statistical techniques and data visualization tools to uncover patterns and insights.
Develop and evaluate machine learning models for prediction and classification tasks.
Interpret analytical results to support data-driven decision-making.
Work with libraries and frameworks like Pandas, NumPy, Matplotlib, Scikit-learn, and TensorFlow.
Solve real-world problems through hands-on projects and case studies.
Understand ethical considerations in data handling and privacy.
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Branch : CSE
Branch : CSE
Branch : HR
Branch : CSE
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