Full Stack Data Science Course
Our Full Stack Data Science Course is designed to take you from the basics to advanced, real-world data science expertise. You’ll learn the complete workflow of data science — including Python programming, data cleaning, visualization, statistics, machine learning, deep learning, big data tools, and model deployment. This course covers both frontend analytics (data handling, dashboards, insights) and backend systems (automation, APIs, cloud deployment). With hands-on projects, case studies, and industry tools, you’ll gain practical experience needed to build, train, and deploy end-to-end data solutions for modern businesses.
Full Stack Data Science Certification Course
The Full Stack Data Science Certification Course is an industry-ready, career-focused program designed to transform learners into highly skilled Data Analysts, Data Scientists, and Machine Learning Engineers. This comprehensive training covers everything from foundational data analytics to advanced machine learning, deep learning, NLP, big data engineering, data visualization, cloud deployment, and real-world AI project development. Whether you're a student, working professional, career switcher, or aspiring AI specialist, this course provides complete end-to-end training with hands-on tools, datasets, real-world case studies, and deployment-based projects. By the end of this program, learners become job-ready full stack data science professionals.
- Introduction to Data Science, career pathways & real-world applications
- Python programming for analytics & machine learning
- Data handling using NumPy, Pandas, and data preprocessing techniques
- Data visualization using Matplotlib, Seaborn, Power BI & Tableau
- Mathematics & statistics for data science (linear algebra, probability, hypothesis testing)
- SQL & database management (MySQL, PostgreSQL, MongoDB)
- Machine Learning algorithms: regression, classification, clustering, ensemble methods
- Hyperparameter tuning, model evaluation & optimization
- Deep Learning with TensorFlow & Keras — CNN, RNN, LSTM
- Natural Language Processing (NLP) using real-world text datasets
- Big Data using Hadoop, HDFS & Apache Spark (PySpark)
- Cloud computing (AWS / Azure) for model deployment
- MLOps with Docker, Git, CI/CD & API deployment using Flask/FastAPI
- Streamlit dashboards and ML web application development
- Final capstone full stack data science project
Data Science is one of the most in-demand and high-paying fields across industries such as finance, healthcare, e-commerce, automation, cybersecurity, ed-tech, manufacturing, government, and AI-driven enterprises. The Full Stack Data Science Course unlocks complete expertise by covering statistical foundations, Python programming, machine learning algorithms, deep learning neural networks, NLP systems, big data processing using Spark, cloud computing, and MLOps deployment pipelines. Learners work with industry-leading tools such as Python, NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Keras, SQL, MySQL, Power BI, Tableau, Hadoop, Spark, AWS, Streamlit, Flask, and GitHub. By the end, participants can build real-world AI solutions like predictive analytics, image recognition systems, fraud detection engines, chatbots, and interactive dashboards Enroll today and become a Full Stack Data Scientist — ready for top careers in AI, ML, business analytics, and real-world data-driven innovation!
What will I learn?
- Full expertise in Python programming, machine learning & deep learning
- Ability to clean, analyze, visualize, and model large complex datasets
- Skills to build AI-powered applications such as predictive models, text analytics, and image classifiers
- Expertise in cloud deployment, MLOps workflow, Git version control & data engineering basics
- Practical experience in developing dashboards, web apps & end-to-end ML projects
- Real-world confidence to work as a Data Analyst, Data Scientist, ML Engineer, or AI Developer
Requirements
- Basic understanding of computers
- Mathematics or logical reasoning foundation helpful
- Laptop/PC capable of running Python, ML libraries & BI tools
- No prior coding experience required — beginners welcome
Start Your Enrollment
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Why Choose Us ?
At TCIIT, our Full Stack Data Science Course is designed to build complete end-to-end skills in data analysis, machine learning, AI, data engineering, visualization, and deployment. You learn how to work with data from raw collection to model building, evaluation, optimization, and deployment — just like real industry workflows. The training covers everything from Python, Statistics, Machine Learning, Deep Learning, SQL, Power BI/Tableau, Cloud, APIs, and ML Deployment. With hands-on projects and live datasets, you gain practical skills required for roles like Data Scientist, ML Engineer, Business Analyst, and AI Developer.
Diverse Career Opportunities in Full Stack Data Science: Exploring High-Growth Roles in India’s Analytics & AI Industry
In India, expertise in Full Stack Data Science unlocks a wide range of lucrative and high-impact career opportunities across industries such as IT, finance, healthcare, e-commerce, telecom, and consulting. Leading global companies like Google, Amazon, Microsoft, Deloitte, Accenture, JPMorgan, and IBM actively hire full-stack data science professionals to build data-driven solutions, deploy machine learning models, automate business workflows, and drive strategic decision-making. Full Stack Data Scientists are highly valued for their end-to-end capabilities—ranging from data collection and preprocessing to advanced analytics, machine learning, AI model deployment, MLOps, and dashboard development. Their ability to handle both backend data engineering and frontend business insights makes them essential in modern data-driven organizations. Salary packages vary based on skills, tools mastered, and experience. In India, the average annual salary for a Full Stack Data Scientist is around 800,000–1,200,000 INR, while in the USA it is approximately $120,000 per year, reflecting strong global demand and exceptional earning potential in this field.
Get Full Stack Data Science Certification
Three easy steps will unlock your Full Stack Data Science Certification
- Complete the online/offline Full Stack Data Science Course along with all module-wise assignments.
- Successfully work on and complete multiple industry-level Data Science, Machine Learning, and AI projects.
- Pass the Full Stack Data Science Certification Exam to earn your verified certificate.
The certificate for this Full Stack Data Science course will be delivered through our learning management system (LMS). You can download it anytime and attach the certificate link to your CV, resume, or LinkedIn profile to highlight your professional data science skills.
