Complete Data Science Course

A complete beginner-to-advanced data science track covering Python, statistics, machine learning, data preprocessing, model building, evaluation, and deployment basics.

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LevelPro course

Complete Data Science Course

// course roadmap

const level = "Beginner to Advanced";

const duration = "10 modules";

const project = "End-to-End ML Project";

startLearning(course);

01Python programming for data science

02NumPy, Pandas, and data cleaning

03Exploratory data analysis

04Statistics and probability

Duration

10 modules

Level

Beginner to Advanced

Project

ML capstone

Certificate

Included

What you will learn

A clear learning path with practical modules, guided practice, tools, and a portfolio-ready final project.

Python programming for data science

Build Python fundamentals for analysis, notebooks, and data workflows.

NumPy, Pandas, and data cleaning

Load, clean, transform, and structure real datasets.

Exploratory data analysis

Understand data using summaries, charts, and pattern discovery.

Statistics and probability

Learn the statistical thinking needed for practical data science.

Machine learning fundamentals

Understand supervised learning, features, labels, training, and inference.

Regression and classification models

Build predictive models for continuous and categorical outcomes.

Model evaluation and optimization

Measure accuracy, tune models, and avoid common evaluation mistakes.

Feature engineering

Create useful model inputs from raw data.

Real-world ML projects

Apply data science workflows to realistic use cases.

Capstone data science project

Create an end-to-end machine learning project for your portfolio.

Outcomes that make your learning visible.

Each course is designed around practical evidence: projects, practice, tools, and a certificate students can use in their profile.

Final project

End-to-End ML Project

Build a complete machine learning project with data cleaning, model training, evaluation, and a simple Streamlit demo.

Analyze datasets using Python

Build machine learning models

Understand statistics for data science

Create end-to-end ML projects

Prepare for data analyst/data scientist roles

Build a strong project portfolio

Who this course is for

Beginners entering data science

Students who know Python basics

Learners preparing for analytics and ML roles

Builders who want portfolio ML projects

Tools and skills covered

PythonNumPyPandasMatplotlibScikit-learnJupyter NotebookStreamlit

Earn a LevelPro certificate after completing the course.

The certificate preview is generated inside the platform and can be used to show course completion, project work, and learning milestones.

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Certificate of completion

Complete Data Science Course

Awarded to

Student Name

Instructor

LevelPro Faculty

Certificate ID

LP-COURSE-2026