Data Analytics Full Course FREE | Data Analytics Course | Intellipaat

In this Data Analytics full course, you’ll begin with Python basics and progress through NumPy arrays, Pandas operations, and data visualization using Matplotlib and Seaborn. You’ll learn powerful EDA techniques to uncover insights, followed by essential tools like Excel for Data Analytics, SQL, and Power BI for business reporting and dashboards. To strengthen hands-on learning, the course includes a real IPL dataset analysis and curated Data Analytics project ideas to help you build a strong portfolio.

This Data Analyst course for beginners is ideal for students, freshers, and working professionals looking to enter or grow in the analytics field. Whether you’re preparing for interviews or planning a career switch, this Data Analytics course gives you the skills and confidence to succeed.

Below are the topics covered in the 'Data Analytics Course For Beginners':
00:00:00 – Introduction to Data Analyst Course
00:01:58 – Python Basics
00:06:12 – Numpy Arrays
00:09:04 – Pandas Operations
01:15:08 – Matplotlib Visualisations
02:05:34 – Seaborn Styling
02:53:39 – EDA Techniques
03:18:33 – Excel For Data Analytics
04:15:11 – SQL
07:09:44 – Power BI
09:34:23 – Analyzing IPL Dataset
10:30:00 – 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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