Data Science
Data Science
Explore data handling, visualization, and machine learning using Python, NumPy, Pandas, and more with practical real-world projects included.
- Introduction to data science, lifecycle, and tools (Python, Jupyter)
- Data manipulation and analysis with Pandas and NumPy
- Data visualization using Matplotlib and Seaborn
- Machine learning basics using Scikit-learn
- Projects: classification, regression, and clustering use cases
Know your curriculum
Introduction to YouTube Automation
- History, evolution, and types of computers (desktop, laptop, tablet, etc.)
- Basic terminology: hardware, software, data, and information
- Real-life applications in education, business, healthcare, and communication
Niche Selection & Channel Setup
- Input/output devices (keyboard, mouse, printer, scanner, etc.)
- System unit components: CPU, memory (RAM/ROM), motherboard, power supply
- Storage devices: HDD, SSD, USB drives, memory cards
Content Planning & Scripting
- Input/output devices (keyboard, mouse, printer, scanner, etc.)
- System unit components: CPU, memory (RAM/ROM), motherboard, power supply
- Storage devices: HDD, SSD, USB drives, memory cards
Video Creation & Automation Tools
- Overview of operating systems (Windows, macOS, Linux)
- Boot process, desktop environment, icons, taskbar, start menu
- Deep dive into the architecture of Node.js
- Building Real world Projects from scratch
- Premium community of Node.js Developers
- Course Certificate
Growth Strategies & Monetization
- In depth High-Quality videos
- Hands-on experience with Express.js & MongoDB
- Deep dive into the architecture of Node.js
- Building Real world Projects from scratch
- Premium community of Node.js Developers
- Course Certificate