Python Data Science Classes Near Me

The MBA Business Certificate from Noble Desktop provides comprehensive training in project management, financial processes, marketing strategies, data analysis, and generative AI. The program includes courses on financial accounting, corporate finance, and business law, as well as hands-on skills in Microsoft Excel and data analytics. Participants may also select electives to specialize further in areas like Python for Data Science or Financial Modeling.

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 this Python automation course, students will learn to automate tasks using Python for various applications. This course is meant for those with prior Python experience looking to learn automation techniques, such as scheduling programs, updating spreadsheets, and web scraping. Topics include HTML and CSS basics, web scraping techniques, working with spreadsheets using Python, and scheduling scripts. This course offers flexible scheduling options, plus a free retake for students to refresh the material.

Gain in-demand SQL skills with expert-led training that prepares you for the Oracle Database SQL Certified Associate exam. Learn to write queries, analyze data, and navigate real-world database environments using PostgreSQL and other major platforms.

Build AI-powered web apps using Python, Flask, and the OpenAI API in this advanced, hands-on course. Learn to create interactive applications that integrate real-time sentiment analysis and dynamic content.

This Data Science with Python course is for people with a basic knowledge of programming with Python. This comprehensive course will explain how to work with some of the most widely used data analysis and visualization modules, such as Pandas, Matplotlib, NumPy, SciPy, and more. The course will begin with a review of the basic syntax and data structures of Python before moving on to object-oriented programming, scientific computation, and data visualization. The final unit will teach you how to manipulate data with Pandas before you complete a final project.

Upskill and take your finance skills to the next level with this Python for Finance class. You'll learn to analyze large amounts of financial data using Python, create visualizations, and start using statistics for predictive modeling. 

This one-week data analytics course provides a deep dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with critical data analysis libraries like NumPy, Pandas, and Matplotlib to perform data analysis and create data visualizations. This 35-hour intensive course is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.

This comprehensive Python course teaches beginners how to code, analyze data, and create machine learning models with Python. Students will start with the basics of Python programming and build their data skills as they progress toward machine learning and automation. Topics include programming fundamentals, data analysis, data visualization, machine learning, automation, and web scraping. This course offers flexible scheduling options and provides a free retake so students can refresh the material.

Start your journey into data science by learning Python from scratch, analyzing datasets with Pandas and NumPy, and creating powerful visualizations to uncover insights.

This Python machine learning course teaches machine learning methods and modules with the Python code designed to implement them. The units of this course explain simple and multiple linear regression, classification methods for logistic regression, discriminant analysis, Naïve Bayes, support vector machines, and tree-based methods, regularization strategies, and how to use clustering algorithms. Completion of this 20-week course will prepare students to use machine learning algorithms to analyze complex datasets and make logical predictions

This course on data wrangling with Python offers a three-day comprehensive introduction. The purpose of this course is to give an immersive foundation that equips students with the most critical data analysis tools. Students will learn how to work with NumPy, Pandas, and Matplotlib to calculate descriptive statistics, work with various data sources, and scrape web pages. The course culminates with a real-life data wrangling project.

This 2-day course provides a deep dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with NumPy arrays, pandas, and Matplotlib to perform data analysis and create data visualizations. This intensive course is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.

This machine learning course teaches the fundamentals of how to use the Python programming language for machine learning applications. Students will learn about clustering algorithms, recurrent neural networks, natural language processing, and classification and regression techniques. Completion of this program will give students the ability to understand and solve real-world machine learning problems.