CodingBasics Biography
| Attribute | Details |
|---|---|
| Name | Codebasics |
| Founder | Abhishek Thakur |
| Occupation | YouTuber, Educator, Data Science Expert |
| Content Focus | Data Science, Machine Learning, Python Programming |
| Platform | YouTube |
| Subscribers (YouTube) | Over 500K |
| Content Type | Educational Videos, Tutorials, Data Science Projects |
| Notable Work | Beginner to Advanced Data Science, Machine Learning Courses |
| Course Platforms | Udemy, YouTube, Coursera |
| Primary Audience | Data Science Enthusiasts, Students, Beginners in Tech |
| Skills Covered | Python, Machine Learning, Deep Learning, SQL, Data Visualization |
| Notable Projects | Predictive Modeling, NLP Projects, Data Analytics |
| Website | codebasics.io |
| Abhishek Thakur LinkedIn | |
| YouTube Channel | Codebasics YouTube |
| Years Active | Since 2016 |
| Subscribers Growth | Rapid Growth in 2020-2021 |
| Video Style | Clear, Simple, Hands-on Tutorials |
| Teaching Method | Step-by-Step Project-Based Learning |
| Courses Offered | Data Science with Python, Deep Learning, ML with Python |
| Social Media Links | YouTube, LinkedIn |
| Popular Videos | Data Science Projects, Python Tutorials |
| Subscriber Count (2023) | Over 500,000 |
| Content Language | English |
| Social Media Presence | Active on YouTube, LinkedIn, Twitter |
| Engagement | Interactive Comment Sections, Regular Q&A |
| Major Achievements | Thousands of Students Trained in Data Science |
| Community | Active Community of Data Science Learners |
| Business Focus | Education and Training in Data Science |
| Global Reach | Viewers from Around the World |
| Content Impact | Helping Learners Transition into Data Science Careers |
| Branding | Simple and Accessible Data Science Learning |
| Role Model | Inspiring Aspiring Data Scientists |
| Popular Series | Python for Data Science, Deep Learning with TensorFlow |
| Teaching Philosophy | Learning by Doing, Project-Based Learning |
| Collaborations | Partnered with Udemy and Other Learning Platforms |
| Vision | To Make Data Science Learning Accessible to All |
| Preferred Tools | Python, Jupyter Notebooks, Pandas, Scikit-Learn |
| Impact on Students | Thousands of Successful Data Science Graduates |