Data Science

Data science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract insights and knowledge from structured and unstructured data.
It combines elements from statistics, computer science, mathematics, and domain expertise to solve complex problems and make data-driven decisions.
Data science plays a crucial role in various industries, including business, healthcare, finance, marketing, and more.

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Beginner Intermediate Advanced

Data Science - Beginner

Module-1: Introduction to Data Science
Module-2: Programming Foundations for Data Science
Module-3: Mathematics for Data Science
Module-4: Data Manipulation and Analysis
Module-5: Data Visualization
Module-6: Introduction to Machine Learning
Module-7: SQL for Data Science

Data Science - Intermediate

Module-1: Introduction to Data Science
Module-2: Programming Foundations for Data Science
Module-3: Mathematics for Data Science
Module-4: Data Manipulation and Analysis
Module-5: Data Visualization
Module-6: Introduction to Machine Learning
Module-7: SQL for Data Science

Data Science - Advanced

Module-1: Introduction to Data Science
Module-2: Python for Data Science
Module-3: Statistics and Probability
Module-4: Linear Algebra and Calculus
Module-5: Data Wrangling & Preprocessing
Module-6: Exploratory Data Analysis (EDA)
Module-7: SQL and Databases for Data Science
Module-8: Machine Learning - Supervised Learning
Module-9: Machine Learning - Unsupervised Learning
Module-10: Advanced Machine Learning Techniques
Module-11: Deep Learning
Module-12: Model Evaluation and Deployment
Module-13: Big Data and Distributed Computing
Module-14: MLOps and Automation
Module-15: Capstone Project

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