Скачать или смотреть Data Analytics Full Course FREE | Data Analytics Course 2026 | Intellipaat

Unlock your journey into Data Analytics with this complete beginner-friendly Data Analytics Full Course FREE designed to take you from fundamentals to practical, industry-ready skills! In this video, you’ll learn everything from Python basics, NumPy, and Pandas, to advanced skills like Exploratory Data Analysis (EDA), Matplotlib, Seaborn, Excel for analytics, and more. You’ll also master essential tools like SQL and Power BI, making you fully prepared for real-world data roles.

To make learning even more hands-on, we break down and analyze an IPL dataset, followed by powerful Data Analytics project ideas to help you build your portfolio and land interviews faster. If you're planning to start a career in Data Analytics in 2025, this video is your perfect step-by-step guide!

Below are the topics covered in the 'Data Analytics Course For Beginners':
00:00:00 – Introduction to Data Analyst Course
00:01:38 – Python Basics
00:05:52 – Numpy Arrays
00:08:44 – Pandas Operations
01:14:48 – Matplotlib Visualisations
02:05:14 – Seaborn Styling
02:53:19 – EDA Techniques
03:18:13 – Excel For Data Analytics
04:14:51 – SQL
07:09:24 – Power BI
09:34:03 – Analyzing IPL Dataset
10:29:40 – Data Analytics Project Ideas

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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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