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Data Science

Course Overview: This Diploma in Data Science provides a complete foundation in data collection, cleaning, and visualization, combined with advanced topics like statistical analysis, predictive modeling, and machine learning. You will gain hands-on experience with Python, R, and tools such as Pandas, NumPy, and TensorFlow, enabling you to apply data science techniques to solve real-world challenges across industries.

Course Content

Introduction to Data Science and Python Introduction to Data Science Python for Data Science – Basics Python for Data Science – Intermediate

Data Wrangling and Analysis Pandas for Data Manipulation Data Visualization Exploratory Data Analysis

Advanced Pandas Operations SQL for Data Analysis SQL for Data Analysis

Statistics and Probability Introduction to Statistics Inferential Statistics Regression Analysis

Machine Learning Basics Supervised Learning Models

Machine Learning Basics Unsupervised Learning Models

Module 1: Introduction to Deep Learning

Module 2: Neural Networks

Module 3: Deep Learning for NLP

Module 4: Convolutional Neural Networks (CNNs)

Session 1: Flask for Web Applications

Session 2: Python Web Scraping

Session 3: Docker Basics

Session 4: Azure Integration

Session 5: MongoDB Integration

Data Scientist Course Projects Outline

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