Data Science

Explore the exciting world of Data Science with iCoder. We guide you through the essentials of Python, Statistics, Machine Learning, and AI. Get hands-on with real datasets, build predictive models, and master in-demand tools like Pandas, NumPy, Matplotlib, Scikit-Learn, and TensorFlow.

Data Science Roadmap

Step 1: Python Basics

Learn Python fundamentals, syntax, loops, functions, and basic programming concepts.

Step 2: Data Analysis Libraries

Master Pandas and NumPy for efficient data handling and manipulation.

Step 3: Data Visualization

Create stunning data visuals using Matplotlib, Seaborn, and Plotly.

Step 4: Statistics & Probability

Understand core statistics, probability, distributions, and hypothesis testing essential for data analysis.

Step 5: Machine Learning Basics

Learn Scikit-Learn to build regression, classification, and clustering models.

Step 6: Deep Learning

Dive into Neural Networks and use TensorFlow or PyTorch for AI projects.

Step 7: Projects with Real Data

Work on end-to-end projects like data analysis, machine learning pipelines, and AI applications using real-world datasets.

Step 8: Deployment

Learn to deploy ML models with Streamlit, Flask, or FastAPI and build complete applications.