Full Stack Data Science

COURSE DESCRIPTION:
Ready to become a data-driven problem solver? The best Full Stack Data Science course at Unividya gives you everything you need—from Python programming and statistics to machine learning, deep learning, and real-world AI applications. You’ll also gain front-end and back-end skills to build full-stack data apps and dashboards. This course is designed to prepare you for roles like Data Scientist, ML Engineer, NLP Engineer, or Generative AI Specialist through hands-on projects and career-focused training. career-oriented guidance, and a professional certificate to accelerate your success.
LEARNING OUTCOMES:
  • Explore data science fundamentals: data wrangling, visualization & machine learning
  • Build dashboards using HTML, CSS & JavaScript for real-time insights
  • Use Python, SQL, Flask & Django for back-end data processing
  • Work with databases (SQL & NoSQL) to handle large datasets
  • Specialize in NLP, Computer Vision, and Generative AI with practical tools & projects
  • Earn a full-stack data science certificate to validate your expertise
  • Develop job-ready skills for roles in data science, AI, analytics, and tech innovation
Who Can Join?
The Full Stack Data Science course at Unividya is ideal for students, fresh graduates, working professionals, or anyone passionate about data and AI.
No advanced degree required! If you have basic computer knowledge and a curiosity to work with data, code, and solve real-world problems—this course is your perfect launchpad.
What You’ll Learn!
In the Full Stack Data Science course at Unividya, you’ll gain end-to-end skills:
  • Learn Python, math, and statistics for solid data foundations
  • Explore machine learning, deep learning, NLP, and computer vision
  • Build front-end dashboards with HTML, CSS, and JavaScript
  • Manage data with SQL, NoSQL, Flask, and Django
  • Apply skills to real-world projects and specialize in roles like ML or Generative AI Engineer
  • Earn an industry-recognized certificate to showcase your expertise
  • Develop a versatile portfolio that sets you apart in the tech and data job market
COURSE DESCRIPTION

The Full Stack Data Science course is designed to equip learners with comprehensive skills in data science, utilizing Python programming from basic to advanced levels. The course covers relational databases, essential mathematics, and both basic and advanced statistics to build a strong analytical foundation. Students will delve into machine learning, deep learning, natural language processing (NLP), and computer vision (CV) to solve complex data problems. Special focus areas include becoming proficient as NLP Engineers, Machine Learning Engineers, CV Engineers, and Generative AI Engineers. The curriculum includes practical applications and project-based learning to prepare students for real-world challenges in data science and AI.

LEARNING OUTCOMES
  • Understand the foundational principles of data science, including data exploration, statistical analysis, and machine learning algorithms.
  • Gain proficiency in front-end technologies (HTML, CSS, JavaScript) to build interactive data visualizations and dashboards.
  • Develop skills in back-end technologies (Python, SQL, Flask, Django) to manage and process data for analysis and modeling.
  • Learn to work with data storage solutions, including relational and NoSQL databases, for storing large datasets.

Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast

Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast