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This video on Applied Data Science with Python Full Course 2026 by Simplilearn will help you learn how to use Python for real-world data science applications from beginner to advanced level. The course covers Python programming, NumPy, Pandas, data cleaning, exploratory data analysis, data visualization, statistics, and machine learning using industry-standard libraries. You will also learn how to build predictive models, evaluate their performance, and solve practical business problems using real-world datasets. By the end of this Python for Data Science course, you will have a strong understanding of the complete data science workflow and the practical skills needed to analyze data and build machine learning solutions.
Following are the topics covered in the Applied Data Science With Python Full Course 2026
00:00:00 - Introduction to Applied Data Science With Python Full Course 2026
00:03:33 - Course Components and Prerequisites
00:05:24 - Evolution of Data Over Time
00:10:22 - DIKW Model Explained
00:13:21 - Business Examples of Data Science
00:18:39 - Data Science Applications and Workflow
00:24:59 - Python and Data Science Libraries
00:29:14 - Data Visualization Chart Recap
00:34:49 - NumPy Fundamentals
00:44:24 - NumPy Reshape and Transpose
01:00:14 - Broadcasting and Vectorization Concepts
01:08:51 - Array Arithmetic and Indexing
01:44:33 - Introduction to Pandas
01:48:44 - Pandas Series in Practice
02:06:01 - Descriptive Statistics Basics
02:09:30 - Pandas DataFrame Fundamentals
02:33:33 - Datetime Handling Basics
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➡️ About Top AI-Powered Data Scientist Master's Program
This online Data Science course equips you with end-to-end skills—from Python refresher, SQL, Data visualization to advanced statistics, deep learning and machine learning workflows. You’ll build real projects, apply GenAI, understand LLMs and RAG, and develop production-ready models through capstones and MLOps electives.
Key Features
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Skills Covered
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