Python For Data Analytics Full Course (2025) | Python Course For Beginners | Intellipaat

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Published on July 18, 2025 4:16:02 PM ● Video Link: https://www.youtube.com/watch?v=I6lioLNuKAU

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This Python For Data Analytics Full Course (2025) by Intellipaat is your all-in-one video guide to learning Python programming and its essential libraries for data analysis. Whether you're just getting started or looking to strengthen your foundation, this course covers it all. You’ll start with the basics of Python programming, then dive into NumPy for numerical computing, Pandas for data manipulation, Matplotlib and Seaborn for data visualization, and finally move on to Exploratory Data Analysis (EDA) with hands-on practice.

By the end of this course, you'll be able to handle real-world datasets and perform insightful data analysis using Python and its ecosystem.

Below are the topics covered in the Python Course For Beginners:
00:00:01 - Introduction to Python Course For Beginners
00:01:15 - Python Programming Basics
00:06:11 - NumPy Library in Python
01:52:19 - Pandas Library
02:59:05 - Matplotlib For Data Visualization
03:49:30 - Seaborn For Data Visualization
04:37:35 - Exploratory Data Analytics

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🔥 Enroll for Intellipaat's Data Analytics Course: https://intellipaat.com/data-analytics-master-training-course/

➡ ️ About the Course
The growing need for data-driven decision-making in competitive businesses has resulted in a notable increase in the demand for skilled Data Analysts. This course covers an in-depth understanding of data analysis, including machine learning algorithms, statistical techniques, optimization techniques, and data visualization.

➡ ️ Key Features - (Course Features)
✅ 50+ Live sessions across 7 months
✅ 218 Hrs of Self-paced tutorial videos
✅ 200 Hrs of Project & Exercises
✅ Learn from industry professionals and IIT Faculty
✅ 1-on-1 sessions with industry mentors

➡ ️ What’s Covered in This Program?
✅ Linux and Python Fundamentals
✅ Data Wrangling with SQL
✅ Statistics And Probability
✅ Machine Learning
✅ Performance Metrics
✅ Time Series Forecasting
✅ Data Modeling
✅ Microsoft Excel
✅ Visualizations using Power BI

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