Data Science & Big Data theory with hands-on projects

Course Description:

The Data Science & Big Data course provides a deep dive into data-driven decision-making, covering key concepts in data analytics, machine learning, and big data technologies. Students will learn how to collect, process, analyze, and visualize large-scale data using tools like Python, R, SQL, Hadoop, Spark, and cloud platforms.

This course blends theory with hands-on projects, helping learners develop statistical analysis, machine learning, and data engineering skills to tackle real-world challenges. Whether you’re an aspiring data scientist, analyst, or engineer, this course equips you with the knowledge to harness the power of data and big data ecosystems.

Key Topics Covered:

✅ Fundamentals of Data Science & Big Data
✅ Data Wrangling, Cleaning & Visualization
✅ Statistical Analysis & Machine Learning
✅ Big Data Technologies: Hadoop, Spark & NoSQL Databases
✅ Cloud Data Platforms (AWS, Google Cloud, Azure)
✅ AI-Powered Analytics & Real-World Case Studies

Prerequisites: Basic programming (Python/SQL preferred) and familiarity with statistics.

Who Should Enroll?
✔ Aspiring data scientists & analysts
✔ IT professionals & engineers transitioning into data science
✔ Business professionals leveraging data for insights

Join this course to master data science and big data analytics, and transform raw data into valuable business intelligence! 🚀