Data Science

Course Description

The ultimate all-in-one data science course — no prior experience needed! This Complete Data Science Bootcamp is designed to take you from absolute beginner to job-ready data scientist. Covering everything from statistics and mathematics to machine learning and deep learning, this course integrates theory with hands-on practice using real-world datasets and tools.

You’ll learn not just how to analyze data, but how to think like a data scientist — developing models, making predictions, and uncovering insights that drive business decisions.

Certification

Earn a professional certificate upon completion of the course. Use it to showcase your data science skills to employers, enhance your LinkedIn profile, or include it in your project portfolio.

Who This Course is for

• Beginners with zero coding or statistics background

• Students and professionals looking to transition into data science

• Business analysts and marketers who want to work with data more effectively

• Programmers aiming to specialize in AI, machine learning, or analytics

• Anyone eager to build a career in the fastest-growing tech field

What You’ll Learn

• Mathematics & Statistics for Data Science: probability, distributions, regression

• Python Programming: data types, control flow, functions, libraries

• Data Visualization: using Matplotlib, Seaborn, and Plotly

• Data Preprocessing: cleaning, transforming, and normalizing data

• Machine Learning: linear regression, decision trees, clustering, SVMs

• Deep Learning: neural networks with TensorFlow/Keras

• Model Evaluation: metrics, cross-validation, and hyperparameter tuning

• SQL for Data Science: querying databases and joining datasets

• Real-World Projects: customer segmentation, credit risk analysis, sales forecasting, and more

Tools & Libraries Covered

• Python 3.x

• NumPy, Pandas

• Matplotlib, Seaborn, Plotly

• Scikit-learn

• TensorFlow / Keras

• SQL (MySQL / SQLite)

• Jupyter Notebook / Google Colab