Become a data scientist and join the fastest growing job field within tech! In this certificate, students will learn necessary programming skills that will allow students to manipulate databases and perform various levels of analysis on the data.
In the first course of this certificate, students will learn Python programming fundamentals and how to use Numpy, Pandas, and Matplotlib to analyze data. After mastering Python and its three main data science libraries, students learn how to create predictive models from the data using machine learning packages such as Sci-Kit Learn.
After learning how to handle data in Python, students will learn how to read and write complex queries to a database. This is a very important skill because data scientists spend a majority of the time preparing and cleaning the data so it can be imported and ready to be analyzed in Python. Lastly, students will learn how to use Python to automate everyday tasks such as aggregating, updating, and formatting data.
After taking this certificate students will be able to interview for entry-level data science and Python engineering positions.
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Want to discuss this class further? Email the program director directly and find out if this is the right program for you.
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Small Classes
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Computer Provided
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Top Instructors
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Free Retake
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Customize your own schedule (choose dates at checkout), or choose a preset certificate track by expanding the dates below.
- $4090 $3195
- 72 Hours
- 594 Broadway, NYC or live online
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FAQ
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Frequently Asked Questions
Do you need to come in with any prior math or programming knowledge?
No, prior math or programming experience is not required for this course.
How is this certificate structured?
The certificate is comprised of four classes that teach you four different but complementary skills. The Python for Data Science class teaches students Python the language and how to use it to import, analyze, 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. The third course is a Python for Automation were students learn how to use Python 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, we teach students how to work with databases and how to manipulate data in between them. With all of these classes, a student will fill all the pre-requisites needed for an entry-level data scientist position.
How many students are in a given class?
Noble's typical class ranges from 8-12 students, but we allow up to 20 students to register for our course.
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 Sci-Kit 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.
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