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Data Analytics Certificate Learn The Skills Guarantee™
Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.
- $4,995
- 156 hours
- Free retake
- Live Online or NYC
- 1:1 Mentoring Included
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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.
Locations:- NYC
- Live Online
- $1,495
- 30 Hours
- Weekdays, Evenings, or Weekends
- Beginner
- Free Retake
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Noble Desktop SQL Bootcamp
In this 18-hour SQL Bootcamp open to beginners, participants will discover the essentials of databases and how to write SQL code to retrieve and analyze data. Through hands-on exercises, participants learn everything from data types to basic queries and advanced topics, including aggregation and joins. Topics include SQL GUI basics, fundamental-to-advanced querying, table creation, joins, views, functions, and external data connections. The course is taught using PostgreSQL and is applicable to other relational databases such as SQL Server and MySQL. Participants can retake the course for free within one year.
Locations:- NYC
- Live Online
- $975
- 18 Hours
- Weekdays or Evenings
- 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.
Locations:- NYC
- Live Online
- $1,895
- 30 Hours
- Weekdays
- Intermediate
- Free Retake
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