Python Tutorial with Gen AI for 2026 | Python Tutorial For Beginners | Python Training | Simplilearn
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This Python Full Course 2026 by Simplilearn begins with an introduction to Python, setting the stage for why it's a powerful and popular language in today's tech industry. This Python Full Course 2026 is designed to take you from beginner to advanced level in a step-by-step manner. You’ll start by understanding what Python is, how to install it, and write your first program. The course then explores core concepts like variables, data types, strings, lists, dictionaries, and control statements. You'll also learn loops, functions, file handling, and Object-Oriented Programming. Advanced topics like polymorphism, list comprehensions, and REST APIs are covered. Hands-on projects in EDA and web scraping enhance practical skills. The course ends with top project ideas and interview questions to prepare you for real-world roles.
The Python For Data Analytics Full Course video covers the following topics.
00:02:10 - What is Python
00:51:37 - Linear Regression Analysis using python
01:26:46 - Python Basics
First python program
Variables and Expressions in Python
Objects in Python
Type conversion in Python
Strings in Python
Escape sequence in Python
Lists in Python
Tuples in python
Dictionaries in Python
Arithmetic operations in Python
Math Function in Python
Conditional Statements in Python
While Loop in Python
Python while loop project
For Loop in Python
If statements in Python
File Handling in Python
Object-oriented programming concepts
Polymorphism in Python
List Comprehension in Python"
06:13:47 - Numpy and pandas tutorial
06:19:35 - Web Scraping Project in Python
06:32:14 - Data Analysis with Python
08:11:31 - Top 5 Python Projects
08:24:50 - top 15 pythin interview questions
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➡️ About Data Science Course in collaboration with IBM
This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.
Key Features
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Skills Covered
✅ Generative AI
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✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management
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