Data Analytics Course | Data Analytics Full Course [Roadmap, Projects Included] | Intellipaat
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✅ Are you looking for a data analytics course that provides a complete roadmap to becoming a skilled data analyst? This data analytics full course is designed to take you from beginner to expert with step-by-step tutorials, hands-on projects, and real-world applications. Whether you're new to the field or looking to upgrade your skills, this data analytics course for beginners covers everything you need to know to start your career in data analytics in 2025 and beyond. This data analytics full course 2025 ensures you gain industry-relevant expertise.
This data analyst course is perfect for beginners, professionals, and anyone looking for a structured data analytics complete course to master key concepts. If you are searching for a data analyst course free, this video offers a high-quality data analytics course free with practical projects to get hands-on experience. Learn from expert instructors and get real-world exposure with this data analytics full course free.
In this data analytics full course 2025, you will learn data cleaning, data analysis, data visualization, SQL, Python, Excel, and advanced analytics techniques. This data analyst full course includes practical case studies and hands-on projects that simulate real-world scenarios, making it one of the best data analytics courses free online. By the end of this data analytics complete course, you'll have the skills, knowledge, and confidence to analyze data, generate insights, and make data-driven decisions.
📖 Below are the topics covered in the video on 'Data Analytics Full Course [Roadmap, Projects Included]':
00:00 - Introduction
04:27 - What is Data Analytics?
17:22 - Types of Data Analysis
26:17 - Data Analytics Lifecycle
30:15 - Roles and Responsibilities of a Data Analyst
41:24 - Understanding How Data Analytics Looks Like With an Example
52:37 - What is EDA?
59:32 - EDA Hands-On
1:31:38 - Inferential Statistics
1:46:24 - Normal Distribution
2:33:41 - Confidence Intervals
3:03:52 - Hypothesis Testing
5:17:03 - Inferential Statistics Hands-On Implementation
6:39:48 - Churn Rate Detection Project
7:35:12 - Sports Analytics Project
8:31:07 - Time Series Data Analytics Exploration
9:52:44 - Data Analytics Interview Questions
FAQs on Data Analytics Course
🔹 What is data analytics, and why is it important?
Data analytics is the process of analyzing raw data to uncover patterns, trends, and insights that help businesses make informed decisions. It is essential for industries like finance, healthcare, marketing, and e-commerce.
🔹 Is this a complete data analytics course for beginners?
Yes! This is a data analytics course for beginners, covering fundamental concepts, tools, and techniques, making it ideal for those with no prior experience.
🔹 Does this data analytics full course 2025 include hands-on projects?
Absolutely! This data analytics project tutorial includes practical exercises, case studies, and real-world projects to help you apply your skills effectively.
🔹 Can I learn data analytics for free with this course?
Yes! This video offers a data analytics course free, making it one of the best ways to learn data analytics for free while mastering industry-relevant skills.
🔹 What tools are covered in this data analyst full course?
You’ll learn Excel, SQL, Python, Power BI, Tableau, and other popular tools used in the industry.
➡ ️ 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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