Data Science with Python
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Web Design & Development
This Web Design & Development course is designed to help students build modern, responsive, and interactive websites using industry-standard technologies. The course covers essential front-end and back-end development skills including HTML, CSS, JavaScript, Bootstrap, and Core PHP, along with practical website project development. Students will learn how to create professional web pages, responsive layouts, and dynamic web applications through hands-on practice and real-world projects. Widely used by leading companies like Google, Amazon, Flipkart, Zomato, Shopify, and Paytm, these technologies are highly valuable for careers in web development, freelancing, and digital product creation.
Course Modules
- HTML Basics & Advanced HTML
- CSS & Responsive Design
- JavaScript Fundamentals
- Bootstrap Framework
- Core PHP
- Website Project Development
Applications & Industry
Web technologies are used for developing business websites, e-commerce platforms, portals, and modern web applications.
Key Benefits
• Front-end and back-end basics
• Real-time website creation
• Responsive web design skills
• Portfolio-based learning
What technologies will be covered in this course?
Is this course suitable for beginners?
Will I work on live projects during the course?
What career opportunities are available after completing this course?
C Programming
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Data Science with Python
Duration : 3 month
Real-World Applications & Industry Usage
Data science is used for predictive analytics, business intelligence, automation, and decision-making systems.
Technologies Covered
- Introduction to Data Science
- Programming Fundamentals
- Mathematics & Statistics
- Data Acquisition & Cleaning
- Exploratory Data Analysis (EDA)
- Machine Learning Basics
- Advanced Machine Learning
- Big Data & Cloud Computing
- Business Intelligence & Data Engineering
- Data Ethics & Privacy
Popular Companies Using These Technologies
- Microsoft
- Amazon
- Tata Consultancy Services
- Accenture
- NVIDIA
Key Benefits
Strong analytical foundation
Practical machine learning exposure
Hands-on projects and case studies
Career-focused curriculum
FAQ
What is Data Science with Python?
Data Science with Python involves using Python programming and data analysis techniques to collect, process, analyze, and interpret data for meaningful insights.
Why is Python widely used in Data Science?
Python is widely used in Data Science because of its simple syntax, powerful libraries, and ability to handle data analysis, visualization, and machine learning tasks efficiently.
What topics are covered in Data Science with Python?
Data Science with Python generally includes Python fundamentals, data handling, visualization, statistics, machine learning basics, and project-based learning.
Can beginners learn Data Science with Python?
Yes, beginners can learn Data Science with Python through a step-by-step approach that starts with Python basics and gradually moves to advanced data science concepts.
