Data Classes Omaha, NE

In this comprehensive data science program, individuals will learn a variety of critical skills to become a data scientist. Students will learn to code with Python, create machine learning models, automate tasks like web scraping, and interact with databases using SQL. Topics include data analysis with Python's Numpy and Pandas packages, data visualization, predictive analytics, machine learning, SQL querying, Python automation, and web scraping. Students will learn hands-on by working in Python and SQL and will complete the program with the skills they need to enter the field of data science. This program offers flexible scheduling and provides a free retake for students to refresh the material.

In this program, participants will learn the key skills and tools needed to succeed as a data analyst, including Excel, SQL, and Tableau. Attendees will learn how to use Excel to create graphs, summarize data with PivotTables, and analyze data. In SQL, attendees will learn the essentials of relational databases, queries, functions, and more. Finally, participants will learn Tableau to create visualizations to express their data. The program is open to beginners and has flexible scheduling options. Tuition includes hands-on training, a free retake, and training manuals for each course.

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 data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.

This 12-week part time Data Science course was designed to teach students both the hard and soft skills needed to launch a career in data science. This course covers a wide range of data science tools and concepts, including programming principles, using Python for statistical analysis, data management and visualization, storytelling with data, developing an office culture focused on data discovery, and more.

This 72-hour Business Intelligence Analyst certificate program gives students a foundation in business intelligence. The program is divided into three modules for which students meet 2 nights/week for 3 hours for 4 weeks: Introduction to Python Programming, Data Manipulation and Management in SQL, and Data Visualization Using Tableau. This certificate will prepare students to become successful Business Intelligence Analysts.

This 72-hour Fundamentals of Data Science certificate program gives students a foundation in model building. The program is divided into three modules for which students meet 2 nights/week for 3 hours for 4 weeks: Basic Model Building, Mathematics of Model Evaluation, and Advanced Data Modeling. This certificate will prepare students to begin a career as a data scientist, or put those skills to use in their existing field.

This course on data wrangling with Python offers a 3-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 alternative 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.