Learn the tools to become a Data Scientist with hands-on training and mentoring from industry experts. Analyze data with Python, create machine learning models and interactive visualizations, and query databases with SQL.
Learn the tools to become a Data Scientist with hands-on training and mentoring from industry experts. Analyze data with Python, create machine learning models and interactive visualizations, and query databases with SQL.
Learn how to manipulate databases and perform data analysis in this beginner-friendly program, which will prepare you for entry-level data science and Python engineering positions. Data science careers regularly rank among today's best and highest-paying jobs.
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.
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.
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.
Noble Desktop is today’s primary center for learning and career development. Since 1990, our project-based classes and certificate programs have given professionals the tools to pursue creative careers in design, coding, and beyond.
[AI INTRO] is a math heavy course offered at KTBYTE, and require students to have mastered self-guided learning.
Whether you dabble in data, have an existing degree, or are brand new to the discipline, this data science course is for you
This course is a 35-hour program designed to provide a comprehensive introduction to R. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data.
This 35-hour Machine Learning with R course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications in R.
This class is a comprehensive introduction to data science with Python programming language. This class targets people who have some basic knowledge of programming and want to take it to the next level.
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