# 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 regularly 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 detect areas for improvement. - **Make Dashboards & 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 & Mentorship:** Throughout the program, you'll work on real-world projects that align with industry standards and receive 1-on-1 mentoring to refine your skills, get feedback on your work, and prepare for job interviews. This hands-on experience ensures you're 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. **Python Machine Learning Bootcamp** 3. **SQL Bootcamp** 4. **Python for Automation** 5. **Python Data Visualization & Interactive Dashboards** 6. **Python for AI: Create AI Apps with Flask & OpenAI** 7. **Data Science Capstone Projects** **Skills covered:** Python, SQL, Jupyter Notebook, Pandas, Machine Learning, NumPy, Matplotlib, Scikit-learn, Beautiful Soup, Data Science Portfolio ## Instructors ### Brian McClain — Program Director & Senior Instructor Brian McClain is an experienced instructor, curriculum developer, and web developer. Brian served as Director for a coding bootcamp before joining Noble Desktop in 2022, where he is now a lead instructor and course developer for both JavaScript and Python. He teaches Web Development, JavaScript, Python for Data Science, Machine Learning, and AI. Prior to Noble, he taught Python Data Science and Machine Learning as an Adjunct Professor of Computer Science at Westchester County College. Brian is also an active industry professional in the field of generative AI app development. His website and iOS app, Artmink, provides appraisals of art and antiques from user-uploaded images. ### Colin Jaffe — Instructor Colin Jaffe is a programmer, writer, and teacher with a passion for creative code, customizable computing environments, and simple puns. He loves teaching code, from the fundamentals of algorithmic thinking to the business logic and user flow of application building—he particularly enjoys teaching JavaScript, Python, API design, and front-end frameworks. Colin has taught code to a diverse group of students since learning to code himself, including young men of color at All-Star Code, elementary school kids at The Coding Space, and marginalized groups at Pursuit. Colin lives in Brooklyn with his wife, two kids, and many intricate board games. ### Kash Sudhakar — Instructor Kash specializes in full-stack web development, data analysis & visualization, machine learning, artificial intelligence, and applied computer science. With over 6 years of teaching, curriculum, and leadership experience across coding boot camps and other educational institutions, combined with over 3 years of professional software engineering and data science expertise, he's driven to help shape the next generation of technologists and creative coders. ## FAQ ### Who is the target audience for this course? The Data Science Certificate is best suited for: Individuals looking to break into data science with Python, machine learning, data visualization, and SQL skills. Analysts who work with other data tools looking to transition to Python and SQL. Developers looking to broaden their skill set by learning data science and Python. ### Does this certificate include job support? In addition to 114 hours of interactive training, you will receive eight 1-on-1 mentoring sessions that can be used for career and job support, including polishing your resume, preparing for interviews, and reviewing best practices for applying to jobs. Note, however, that we don’t provide job placement (i.e. reaching out to companies on your behalf). ### 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 fulfill all the prerequisites 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 ### Is this course open to beginners? Yes, this course is open to beginners. Students must be comfortable using a computer. No other prior knowledge is required. ### Do you offer payment plans or student financing for this course? Yes, this course is eligible for our installment plan or student financing through Climb Credit. Learn more in the Tuition section above. ### Can I take this course online (remote learning)? Yes. This course is available online. See the course description and enrollment options for the training format and schedule. How do live-online sessions work? For live-online sessions, you attend at the scheduled class times (New York, Eastern Time). Attend remotely through Zoom with a live instructor. Hear the instruction, ask questions, and share your screen with the instructor. Use your computer’s microphone and speakers, or call the phone number we provide. You will need your own computer and any required software. See the course requirements for details. If you need assistance, contact us at hello@nobledesktop.com . ### What happens if I need to miss a session? You have some options: You can watch a recording of the session. We will provide any course materials. You can use your free retake to make up any missed class time. ### What’s included with my tuition? A hands-on learning experience working on projects and exercises, which is proven to boost comprehension, retention, and engagement Expert instructors who are industry professionals and experienced educators that are driven to help you succeed A comprehensive program with 7 in-depth course modules designed to build your skills progressively Access to industry-standard software during your training Flexibility to customize your learning with an additional elective course Valuable 1-on-1 mentoring sessions outside of class to address your specific needs and career goals Top-notch curricula that have been tried and tested over many cohorts and are consistently improved for an optimal learning experience A 1-year free retake policy which allows students to retake any part of the course or program for free to refresh the materials and gain additional practice 30-day access to class recordings to review material at your own pace A certificate of completion to verify your accomplishment Training from an institution licensed by the State of New York, New York State Education Department Attend the Python for AI course for free as part of this certificate. Choose your date after you register for the program. ### Are there any additional fees or expenses? There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us. ### Do you offer any discounts for this course? This program has a single package price. Additional discounts do not apply. ## Pricing **Tuition:** $3995 Payment options: Student financing available; see the current application terms, pay-as-you-go installments, and GI Bill accepted.