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Data Science & AI Certificate Learn The Skills Guarantee™
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
- $3,995
- 114 hours
- Free retake
- NYC or Live Online
- 1:1 Mentoring Included
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Noble Desktop Data Analytics Certificate
This course covers the skills needed to become a data analyst or business analyst, including data analytics fundamentals, data visualization with Tableau, using Python for data cleaning and manipulation, and working with relational databases. One-on-one mentoring is included.
In-person @ 185 Madison Avenue, New York, NY Also available online- $4,995
- 156 Hours
- Weekdays or Evenings
- Beginner
- Free Retake
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Noble Desktop Python for Data Science Bootcamp
In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with DataFrames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the material.
In-person @ 185 Madison Avenue, New York, NY Also available online- $1,495
- 30 Hours
- Weekdays, Evenings, or Weekends
- Beginner
- Free Retake
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Noble Desktop Python Machine Learning Bootcamp
In this course, students expand their Python programming skills into machine learning and algorithms that can independently learn patterns and make decisions. The course begins with linear and logistic regressions, the most time-tested and reliable tools for approaching a machine learning problem. Students then progress to algorithms with a different theoretical basis, such as k-nearest neighbors, decision trees, and random forests. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of their models, as well as tips for choosing effective features and algorithms.
In-person @ 185 Madison Avenue, New York, NY Also available online- $1,895
- 30 Hours
- Weekdays
- Intermediate
- Free Retake
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