What will you learn in this Applied Data Science Capstone Course
Apply the complete data science methodology to a real-world project, encompassing data collection, wrangling, exploration, modeling, and evaluation.
Utilize Python libraries such as Pandas, Matplotlib, Seaborn, and Scikit-learn for data analysis and machine learning tasks.
Access and extract data using APIs and web scraping techniques with tools like BeautifulSoup.
Develop and compare classification models, including Support Vector Machines, Decision Trees, and K-Nearest Neighbors.
Create interactive visualizations and dashboards using libraries like Folium and Plotly Dash.
Program Overview
1. Introduction and Data Collection
⏳ 1 week
Understand the project’s context and objectives. Learn about different data sources, including APIs and web scraping, to gather relevant data.
2. Data Wrangling and Exploration
⏳ 1 week
Clean and preprocess the collected data. Perform exploratory data analysis to uncover patterns and insights using statistical methods and visualizations.
3. Data Visualization and Dashboarding
⏳ 1 week
Create informative visualizations to communicate findings effectively. Develop interactive dashboards to present data insights dynamically.
4. Machine Learning and Model Evaluation
⏳ 1 week
Build and train classification models to predict outcomes. Evaluate model performance using appropriate metrics and refine models for better accuracy.
5. Final Report and Presentation
⏳ 1 week
Compile the entire project into a comprehensive report. Present findings, methodologies, and conclusions in a format suitable for stakeholders.
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Job Outlook
Equips learners with practical experience in handling real-world data science projects, enhancing employability in roles such as Data Scientist, Data Analyst, and Machine Learning Engineer.
Applicable across various industries, including technology, finance, healthcare, and aerospace, where data-driven decision-making is crucial.
Demonstrates proficiency in end-to-end data science workflows, a valuable asset for career advancement.
Specification: Applied Data Science Capstone
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