Description
🔥Enroll for Data Science Course: https://intellipaat.com/data-scientist-course-training/
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Explore the world of Data Science with this complete Data Science Full Course for Beginners (2026)! In this tutorial, you'll learn the fundamentals of Data Science, understand what Data Science is, and get started with Python programming. You'll also cover essential concepts like Pandas Operations, Exploratory Data Analysis (EDA), and Data Preprocessing, including Feature Scaling.
Take your learning further by understanding the fundamentals of Machine Learning and its popular algorithm, including Linear Regression, Logistic Regression, Support Vector Machine (SVM), Decision Trees, and K-Means Clustering. Learn how these algorithms work and how they are used to solve real-world problems through practical applications.
To put your knowledge into practice, this course includes a hands-on Netflix Recommendation Project, helping you understand how Data Science concepts are applied in real-world scenarios. Finally, prepare for your next career opportunity with important Data Science Interview Questions. Whether you're a beginner, student, or aspiring Data Scientist, this full course will help you build a strong foundation and take your first step towards a career in Data Science.
📖 Below are the concepts covered in the video on "Data Science Full Course":
00:00:00 - Introduction to Data Science
00:01:08 - What is Data Science
00:10:39 - Introduction to Python
02:46:06 - Pandas Operations
03:52:10 - Exploratory Data Analysis
04:33:14 - Data Preprocessing: Feature Scaling
05:03:05 - Introduction to Machine Learning
05:52:04 - Linear Regression
08:29:59 - Logistic Regression
08:31:56 - Support Vector Machine (SVM)
08:33:38 - Decision Tree
08:35:23 - K-Means Clustering
10:39:57 - Netflix Recommendation
11:48:06 - Data Science Interview Questions
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➡️ About the Course:
In this course, you will learn the fundamentals of Data Science along with important tools and technologies used in the industry. The program covers key concepts such as Python programming, statistics, machine learning, data visualization, and SQL, helping learners build strong analytical and technical skills. With hands-on projects, real-world case studies, and expert guidance, the course is designed to give practical experience and prepare learners for roles like Data Scientist, Data Analyst, and Machine Learning Engineer. It is suitable for beginners as well as professionals who want to start or advance their careers in the field of data science.
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