Codebasics E-learning Platform for Data Analyst, Data Science & AI

What is Codebasics?

Codebasics is an online learning platform specializing in data analytics, data science, and artificial intelligence education. It provides a range of courses and comprehensive bootcamps designed to equip learners with practical, industry-relevant skills.

The platform features courses covering essential tools and concepts such as Excel, Power BI, SQL, Python, Math & Statistics for AI, Machine Learning, and Deep Learning. These courses are created and taught by industry experts, including data analyst hiring managers and AI entrepreneurs with extensive experience in leading tech companies and international markets. The curriculum emphasizes project-based learning, real-world scenarios, and hands-on exercises to ensure learners are prepared for the job market.

Features

Data Analytics Bootcamp: Comprehensive program with job assistance and virtual internships.
Data Science & AI Bootcamp: Intensive training for aspiring data scientists and AI engineers, including projects and job support.
Specialized Courses: Individual courses on Excel, Power BI, SQL, Python, Math & Statistics, Machine Learning, and Deep Learning.
Project-Based Learning: Emphasis on hands-on experience with real-world projects and datasets.
Industry Expert Instructors: Courses taught by professionals with extensive industry experience (e.g., Bloomberg, Nvidia).
Job Assistance: Included in bootcamps to help learners transition into data careers.
Lifetime Content Validity: Access to course materials indefinitely.
Free Resources: Offers free courses and learning materials alongside paid content.

Use Cases

Learning data analysis skills for career advancement.
Training to become a Data Analyst, Business Analyst, or Power BI Developer.
Acquiring skills for Data Scientist or AI Engineer roles.
Learning programming languages like Python and SQL for data tasks.
Understanding foundational concepts in Math, Statistics, Machine Learning, and Deep Learning for AI.
Building a portfolio with real-world data projects.
Preparing for job interviews in the data industry.