# Data Science & AI Certificate Canonical URL: ## Overview Learn how to manipulate databases and perform data analysis in this beginner-friendly program, equipping you with the skills employers seek in data science and Python engineering roles. Data science careers consistently rank among today's best and highest-paying jobs. - **Learn Programming Fundamentals:** Learn Python programming fundamentals and how to use its main data science libraries to analyze data. Read and write complex database queries, prepare and clean data for analysis, and use Python to automate everyday tasks such as aggregating, updating, and formatting data. - **Create Machine Learning Models:** Use your data to build machine learning models and evaluate their performance. Clean and balance your data with Pandas, apply machine learning algorithms with the scikit-learn library to solve real-world problems, and analyze the results to identify areas for improvement. - **Make Dashboards and Visualizations:** Build and present dynamic dashboards and other data visualizations. Learn to use Python's major plotting and dashboard libraries: Matplotlib, Seaborn, Plotly, and Dash Enterprise. Deploy your projects online with GitHub to demonstrate your analytical abilities to employers. - **Industry-Aligned Projects and Mentorship:** Throughout the program, you will work on real-world projects that align with industry standards and receive one-on-one mentoring to refine your skills, get feedback on your work, and prepare for job interviews. This hands-on experience ensures you are ready to transition into a data science career. ## What you'll learn - Analyze tabular data with NumPy and Pandas - Create graphs and visualizations with Matplotlib - Make predictions with linear regression - Apply machine learning algorithms to the data - Clean and balance data in Pandas - Make interactive dashboards with Dash Enterprise - Evaluate the performance of machine learning models - Combine information across tables with join statements - Learn advanced techniques such as subqueries and stored procedures - Write programs in Python to automate everyday tasks ## Curriculum 1. **Python for Data Science Bootcamp** 2. **SQL Bootcamp** 3. **Python for Automation** 4. **Python Data Visualization & Interactive Dashboards** 5. **Python Machine Learning Bootcamp** 6. **Python for AI: Create AI Apps with Flask & OpenAI** 7. **Data Science Capstone Projects (Self-Paced)** **Skills covered:** Python, SQL, Jupyter Notebook, Pandas, Machine Learning, NumPy, Scikit-learn, Matplotlib, Beautiful Soup, Data Science Portfolio ## FAQ ### How is this certificate structured? The certificate is composed of four classes that teach you four different but complementary skills: In the Python for Data Science class, you learn Python (the programming language) and how to use it to import, analyze, and visualize data. The Python for Machine Learning class is a second-level Python class that teaches students how to use Python to predict and forecast from data they have previously analyzed using regression and other statistical techniques. In Python for Automation, you learn how to automate everyday tasks using Python and BeautifulSoup. Lastly, as a data scientist, it is imperative that you know SQL in addition to Python. In our SQL Bootcamp , you’ll learn how to work with databases and how to manipulate data in between them. With all of these classes, students will fill all the pre-requisites needed for an entry-level data scientist position. ### How many students are in a class? Noble’s typical class ranges from 8–12 students, but we accept up to 20 students. ### How does this certificate prepare me for the job market? The classes will prepare students with all the skills necessary for an entry-level position in data science. Most entry-level jobs are looking for three core technical skills: Python proficiency, SQL proficiency, and proficiencies in Python data science libraries. All of these skills will be taught throughout the classes in the certificate. ### Why is SQL included in the Data Science Certificate? SQL is a necessary skill because as a data scientist one must feel comfortable being able to explore a database and how to modify data within it. Our SQL Bootcamp will cover all of the necessary topics a programmer in SQL must know. The class will cover everything from basic database terminology to advanced querying techniques so that you are confident using SQL in your workplace or on your resume. ### Is there mandatory work outside of the classroom? Students are not required to complete any work outside of class. However, we provide students with bonus materials if they would like extra practice. ### What tangible skills do students leave with after the certificate? Students will leave with proficiencies in both Python and SQL. Additionally, students will be proficient in various Python libraries such as NumPy, Pandas, Matplotlib, BeautifulSoup, and scikit-learn. These libraries will allow students to automate data collection, perform analysis on the data, graph the data, and use this data to create predictive models. In the SQL class, students will learn how to explore, modify and export data from a database and students will also be introduced to foundational concepts like tables, data types, and queries. ### What kind of laptop is suitable for completing the work in this course? Any laptop with the below specifications would be suitable: OS: macOS Sequoia or Windows 11 Model from 2021 onward is preferred RAM: should be at least 16GB 13.6-inch (2560 x 1664) display or larger ## Pricing **Tuition:** $3995 Payment options: Student financing available; see the current application terms, pay-as-you-go installments, and GI Bill accepted.