Data Science
Are you ready to step into the world of Data Science and unlock the power of data?…
- 0
- 20h 15m
- 0
Are you ready to step into the world of Data Science and unlock the power of data?
This course is built as a complete roadmap — starting with the fundamentals of mathematics and programming, moving into machine learning and deep learning, and ending with big data, MLOps, and cloud deployment.
You will learn how to:
-
Collect, clean, and analyze data effectively.
-
Build machine learning models for regression, classification, and clustering.
-
Work with visualization libraries like Matplotlib, Seaborn, and Plotly.
-
Scale projects with Apache Spark, Hadoop, and cloud services.
-
Deploy models using Docker and Kubernetes.
By the end, you’ll not only understand Data Science concepts but also have a portfolio of real-world projects to showcase.
What Will You Learn?
- Core Mathematics & Statistics (Linear Algebra, Calculus, Probability).
- Python & R programming for data analysis and modeling.
- Data wrangling with Pandas, NumPy, and SQL.
- Data visualization using Matplotlib, Seaborn & Plotly.
- Machine Learning: Regression, Classification, Clustering.
- Deep Learning with TensorFlow or PyTorch.
- Big Data technologies: Apache Spark, Hadoop.
- Cloud deployment (AWS, GCP, Azure).
- MLOps essentials with Docker & Kubernetes.
- Business storytelling and communication with insights.
