Data Science

COURSE DESCRIPTION
This course introduces you to the world of Data Science—the art of extracting valuable insights from data. You’ll learn the complete data science workflow, from data collection and cleaning to analysis, visualization, and machine learning. Using practical, hands-on exercises, you’ll gain experience with real-world datasets, Python programming, and tools like Pandas, NumPy, Matplotlib, and Scikit-learn. By the end of the course, you’ll be able to make data-driven decisions and build predictive models with confidence.

CERTIFICATION
Upon successful completion, you will receive a Certificate of Completion in Data Science. This certification validates your ability to analyze data, create visualizations, and apply machine learning algorithms—skills highly sought after in business, technology, healthcare, finance, and research industries.

LEARNING OUTCOMES
By the end of the course, you will be able to:

• Understand the fundamentals and applications of data science.
• Collect, clean, and preprocess data for analysis.
• Use Python libraries such as Pandas, NumPy, and Matplotlib effectively.
• Perform exploratory data analysis (EDA) to uncover insights and patterns.
• Apply descriptive and inferential statistics for decision-making.
• Build and evaluate predictive models using machine learning techniques.
• Visualize data using charts, dashboards, and storytelling methods.
• Work with real-world datasets to solve practical business problems.
• Communicate insights effectively through reports and presentations.
• Understand ethics, privacy, and bias in data handling and AI systems.

Extras include access to sample datasets, coding challenges, mini-projects, and a final capstone project to showcase your skills.