Data Science

Data Science with Python Bootcamp

Go from Python beginner to data scientist. Covers Pandas, Scikit-Learn, visualization, and real-world projects.

4.8(2,840 reviews)
7,600 students
42h totalENbeginner

Instructor

Nadia Torres

What You'll Learn

  • Write clean, Pythonic code for data analysis tasks
  • Wrangle messy datasets with Pandas and NumPy
  • Visualize data with Matplotlib, Seaborn, and Plotly
  • Build and evaluate supervised ML models with Scikit-Learn
  • Complete 5 real-world projects with datasets from healthcare, finance, and e-commerce
  • Deploy a machine learning model as a web API

Course Curriculum

3 sections · 14 lessons · 42h

Python Foundations5 lessons
  • Why Python for Data Science?Free preview
    8m
  • Variables, Types & Control FlowFree preview
    16m
  • Functions, Modules & OOP Basics
    18m
  • Python Practice Lab
  • Python Foundations Quiz
Data Wrangling & Visualization5 lessons
  • NumPy Arrays & Vectorized Operations
    20m
  • Pandas DataFrames: Load, Clean & Merge
    24m
  • Exploratory Data Analysis (EDA)
    22m
  • Visualization with Matplotlib & Seaborn
    18m
  • Data Wrangling Quiz
Machine Learning with Scikit-Learn4 lessons
  • Supervised Learning: Regression & Classification
    25m
  • Model Evaluation: Cross-Validation & Metrics
    20m
  • Project: Predicting Patient Readmission
  • ML Fundamentals Quiz

Requirements

  • No programming experience required
  • Basic math and statistics (high school level)
  • A computer with Python installed (setup guide included)

Who This Course Is For

  • Career changers entering data science
  • Analysts wanting to level up from Excel to Python
  • Students preparing for data science job interviews

Your Instructor

Nadia Torres

Rating
4.8
Students
11,000 students
Courses
5 courses

Senior Data Scientist with experience at a major healthcare analytics firm and two AI startups. PhD in Applied Statistics from UC Berkeley.