Created By: Training Head
This course is designed for beginners, so no prior experience in programming or data science is required. However, a basic understanding of mathematics and logical thinking will help grasp core concepts more effectively. Learners should be comfortable using a computer and have a working knowledge of spreadsheets like Excel. A laptop or desktop with a stable internet connection is essential for practicing coding, working with tools like Power BI, and completing assignments. Most importantly, curiosity about data, problem-solving skills, and a willingness to learn are key to making the most of this course.
The Data Science Course (Beginner Level) is a structured 3-month program tailored for individuals looking to build a strong foundation in data handling, analysis, and machine learning. The course starts with Python programming, introducing essential libraries like NumPy and Pandas, followed by practical training in Excel and Advanced Excel for data manipulation and dashboard creation. In the second month, learners dive into SQL/MySQL for database management and gain hands-on experience with Power BI for data visualization and interactive dashboards. The final month introduces core machine learning concepts, including supervised and unsupervised learning, and guides students through building simple ML models like Linear Regression and K-Nearest Neighbors using Python. The program concludes with a capstone project that allows learners to apply their skills in a real-world scenario, preparing them for entry-level roles in data science and analytics.
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Duration : 3 Months
Lectures : 36
Offline & Online Mode
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