Advanced Data Science Course

The Full Stack Data Science Course offers an in-depth exploration of data science concepts, tools, and real-world applications. This transformative programme blends foundational knowledge with advanced techniques to provide a holistic learning experience.

Data science, the backbone of modern analytics, is crucial for extracting actionable insights from vast datasets. This course covers a wide array of topics, starting from Python programming to advanced subjects like AWS Cloud, SQL, and Flask for web development.

The 12-month duration ensures ample time to build a robust understanding of both theoretical concepts and practical applications.

Unlike the 6-month Data Science Course, which primarily focuses on essential topics like EDA, Machine Learning, and Deep Learning, the Full Stack programme expands its scope to include additional modules like Cloud Computing, Web Scraping, and Power BI.

These added skills position learners for broader opportunities in roles like Full Stack Data Scientist and Data Architect.

What Sets This Course Apart?

The Full Stack Data Science Course goes beyond conventional data science training by including critical full-stack components like web development and cloud computing.

This comprehensive approach ensures learners can handle end-to-end data science projects—from data collection and analysis to building and deploying AI-driven solutions.

With the growing demand for Full Stack Data Scientists, this course addresses the industry's evolving needs, making you a competitive candidate for top-tier roles.

Benefits of the Full Stack Data Science Course

• Comprehensive Curriculum: Gain expertise in advanced tools and techniques beyond traditional data science courses.

• Flexible Learning Options: Choose between online and offline formats to suit your schedule.

• Industry-Relevant Training: Learn from seasoned professionals and work on real-world projects aligned with industry standards.

• Certification: Earn a recognised Data Science Course Certification to validate your skills.

• Career Support: Receive placement assistance, interview coaching, and career guidance to secure your ideal job.

Job Opportunities After the Course

The Full Stack Data Science Course opens doors to various high-demand roles, including:

1. Business Analyst

Leverage data to inform business decisions and enhance profitability.

2. Data Scientist

Derive valuable insights from complex datasets to address real-world challenges.

3. Data Architect

Design efficient database systems to streamline organisational data flow.

4. Full Stack Data Scientist

Oversee complete data science workflows, from analysis to implementation.

5. Senior Data Scientist

Lead teams and implement advanced AI solutions for business challenges.

6. Cloud Data Engineer

Leverage cloud platforms like AWS to optimise data storage and computation.

Difference Between the 6-Month and 12-Month Course

1. 6-Month Data Science Course:

• Curriculum : Covers basics - Python, ML, Deep Learning, NLP, Computer Vision

• Focus : Core data science concepts

• Duration : 6 months

• Career Roles : Data Scientist, Business Analyst

• Job Readiness : Prepares for advanced and leadership roles

2. 12-Month Full Stack Data Science Course

• Curriculum : Includes advanced topics like AWS, SQL, Flask, Web Scraping, and Power BI

• Focus : End-to-end full-stack implementation

• Duration: 12 months

• Career Roles: Full Stack Data Scientist, Data Architect

• Job Readiness : Prepares for entry-level roles

If you’re looking for a short-term, foundational programme, the 6-month course is ideal. For those aiming to master the entire data science lifecycle and pursue advanced roles, the 12-month Full Stack programme is the perfect fit.