What’s the best way to learn data science as a beginner?

Learning data science as a beginner can be a rewarding but challenging journey. Here’s a step-by-step guide to help you get started: 1. Understand the Basics Mathematics and Statistics: Start with foundational concepts in statistics, probability, linear algebra, and calculus. These are essential for understanding data analysis and machine learning. Programming: Learn a programming language commonly used in data science, like Python or R. Python is highly recommended due to its extensive libraries and community support. 2. Learn Data Manipulation and Analysis Pandas: Start with the Pandas library in Python for data manipulation, such as data cleaning, transformation, and exploration. NumPy: Learn NumPy for numerical operations, which is crucial for handling large datasets. 3. Master Data Visualization Matplotlib & Seaborn: Learn to visualize data using these libraries. Visualization helps in understanding data trends and patterns. Tableau or Power BI: Consider learning these tools for more advanced and interactive visualizations. 4. Understand Databases and SQL SQL: Learn SQL to query and manage databases. Data is often stored in relational databases, so SQL is an essential skill. NoSQL: Explore NoSQL databases like MongoDB for working with unstructured data.

By: sadhna

07-Feb-2026 01:11 pm

Education

User Website : https://www.sevenmentor.com/data-science-training-in-bangalore

Facebook Twitter Linkedin

Free bookmarking of Education description

Other Submission of sadhna

Essential Hoodies

The Fear of God Essentials Hoodie is a perfect blend of comfort and modern streetwear style. Made from premium quality fabric, it offers a soft feel, ...

By: essentialhoodie

07-Feb-2026 12:37 pm

Other