Data Classes Frankfurt

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 course teaches students how to assess the quality of datasets and develop tools to process, organize, and present these figures.

The three-day Python Data Science Training program teaches students to evaluate and manage datasets using Python programming language and software libraries such as Pandas. This course walks students through the process of creating arrays from existing and new datasets and how to best visually represent these figures.

This course introduces the database language SQL. Participants learn database design, select statements, group functionalities, data manipulation, and create and maintain tables.

Learn how to make visually stunning graphs, charts, and other forms of data visualization in this one-day class.

This introductory course provides an initial overview of Microsoft Excel. Participants will explore the Excel workspace as they learn to enter formulas and design and edit tables with fonts, frames, and number formats. They will also learn how to put the tables into the correct layout for printing.