Data Analytics Full Course (2025) | Data Analytics Course (Python + Power BI) | Intellipaat

Ready to become a data analyst? This Free Data Analytics Full Course 2025 by Intellipaat is your complete, beginner-friendly roadmap to mastering the most in-demand tools and techniques in the industry, with no prior experience required! Start by understanding who a data analyst is and dive into Python programming, exploring core libraries like NumPy, Pandas, Matplotlib, and Seaborn to clean, analyse, and visualise data effectively. Learn the art of Exploratory Data Analysis (EDA), followed by a solid foundation in Inferential Statistics, Normal Distribution, Confidence Intervals, and Hypothesis Testing, with hands-on implementation to sharpen your skills.

Then, step into the world of Power BI, one of the top business intelligence tools used across industries. You'll learn how to build interactive dashboards, analyse time-series data, and transform raw data into actionable insights. By the end of this course, you’ll be equipped with the practical skills, tools, and project-ready knowledge to take on real-world analytics roles with confidence.

Below are the topics covered in the 'Data Analytics Course For Beginners':
00:00:00 - Introduction to Data Analytics Course (Python + Power BI)
00:01:58 - Who is a Data Analyst?
00:07:31 - Python Basics
00:12:12 - Numpy Arrays
00:15:04 - Pandas Operations
01:21:08 - Matplotlib Visualizations
02:11:34 - Seaborn Styling
02:59:39 - EDA Techniques
03:24:06 - Inferential Statistics
03:38:20 - Normal Distribution
04:25:53 - Confidence Intervals
04:54:26 - Hypothesis Testing
07:09:17 - Inferential Statistics Hands-On Implementation
08:32:23 - Power BI
10:22:46 - Time Series Data Analytics Exploration

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🔥Enroll for Intellipaat's Data Analytics Course: https://intellipaat.com/data-analytic...

➡️ 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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