Complete Data Science Engineering Roadmap 2026

Описание: Welcome to Complete Data Science Engineering Roadmap 2026, a comprehensive webinar designed for beginners, engineering & CS students, aspiring data analysts, data scientists, and AI/ML enthusiasts who want to become industry-ready Data Science Engineers.
This session is ideal for learners who want to understand how data science works in real engineering and IT roles in 2026, starting from basic programming to AI-driven decision systems used in production environments.
In this webinar, we will explore how Python, SQL, Pandas, NumPy, Machine Learning, Deep Learning, Big Data, Cloud platforms, and MLOps tools are used to build scalable, real-world data systems that power modern businesses.
You will learn end-to-end data science workflows, real industry use cases, deployment strategies, and a clear career roadmap to crack internships, placements, and high-paying roles.

What You Will Learn in This Webinar
Introduction to Data Science Engineering
What Data Science Engineering is and why it is critical in 2026
Difference between Data Analyst, Data Scientist, ML Engineer, and AI Engineer
How companies use data for intelligent decision-making

Programming & Data Handling Foundations
Python for data engineering, automation, and pipelines
SQL & NoSQL databases (MySQL, PostgreSQL, MongoDB)
Data cleaning, transformation, and analysis using Pandas & NumPy

Data Visualization & Business Intelligence
Exploratory Data Analysis (EDA) using Matplotlib & Seaborn
Creating professional dashboards and reports using Power BI & Tableau
How to communicate insights effectively to business stakeholders

Machine Learning & Artificial Intelligence
Machine Learning models using Scikit-learn
Model evaluation and performance metrics
Deep Learning fundamentals using TensorFlow & PyTorch
High-performance ML models with XGBoost & LightGBM

Big Data & Cloud Technologies
Apache Spark for large-scale data processing
Hadoop ecosystem (HDFS & MapReduce basics)
Cloud platforms: AWS, Azure, and Google Cloud for data & ML workloads

Deployment, MLOps & Production Systems
Building ML APIs using Flask & FastAPI
Model deployment and containerization with Docker
Version control and collaboration using Git & GitHub
How AI models are integrated into real production systems

Real-World Use Cases & Projects
Predictive analytics in IT & Finance
Healthcare data analysis & ML models
Manufacturing quality prediction
AI-powered business decision systems
Resume-ready project ideas that demonstrate end-to-end Data Science Engineering skills.

Career Roadmap & Industry Insights
Skill roadmap from beginner to industry-ready Data Science Engineer
Programming skills companies expect in 2026
Common mistakes students make while learning Data Science and how to avoid them
Career paths:
Data Analyst Data Scientist
Machine Learning Engineer
AI Engineer

Why You Should Attend This Webinar
Data Science is no longer just about analysis — it is about engineering scalable, intelligent systems. Companies today look for professionals who can code, analyze, model, deploy, and maintain AI systems.
This webinar gives you a clear, practical roadmap from zero level to advanced Data Science Engineering, helping you understand what to learn, how to learn, and how to apply it in real jobs.
By the end of this session, you will have a clear vision of tools, skills, projects, and career paths required to succeed in Data Science and AI roles in 2026.

About ABC Trainings
ABC Trainings offers job-oriented, industry-focused programs in Data Science, Machine Learning, AI, Python, and Cloud Technologies for students and working professionals.
Our training emphasizes real-world projects, practical skills, and placement-oriented learning to help you build a strong resume and crack interviews.
Website: www.abctrainings.in
Contact: +91 8698270088

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