Data Analytics Classes Munich

This course covers the skills needed to become a Data Analyst or Business Analyst, including data analytics fundamentals, visualization with Tableau, using Python to clean and manipulate data, and how to work with relational databases. One-on-one mentoring is included.

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 8-day intensive Data Analytics bootcamp, students with little to no background in data analytics will learn how to use Microsoft Excel, SQL, and Tableau to summarize, display, and discover key insights hidden in data sets. By the end of this bootcamp, students will be able to use Excel to aggregate and summarize data, sort data with PivotTables, create charts and tables in Excel, use SQL to filter and sort large data sets, use advanced database queries, create visualizations with Tableau, and much more. Students will also be able to reinforce what they learn through the numerous projects they encounter throughout the course. This course also offers a free retake within six months to allow students to revisit any concepts needing to be refreshed and walk away with a much stronger grasp of the material.

In this class, you'll get an introduction to data analytics and how they are used in today's business world. You'll learn about the different kinds of analytics, algorithms, and statistics that you will need to know as a Data Analyst or Business Analyst.

Excel for Data Analytics covers intermediate and advanced Excel skills that turn the application into a powerful tool for data analysis and visualization. In this course, you'll learn how to use formulas, database functions, and simple macros to sort, filter, group, and visualize data.

This bootcamp provides comprehensive instruction including statistics and experimental design, building a data science toolkit, exploring data visualization and machine learning, deep learning, and natural language processing. The course provides an overview of the role of a Machine Learning Engineer.

A complete bootcamp in part-time format, this program provides comprehensive instruction including statistics and experimental design, building a data science toolkit, exploring data visualization and machine learning, deep learning, and natural language processing. The course provides an overview of the role of a Machine Learning Engineer.

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.

This course gives a base understanding of Microsoft Excel. Participants with novice computer skills learn how to create, design, and print tables, enter formulas, and create and design diagrams. Additionally, they will learn how to navigate the interface, work with presets, and customize formats.

In this course, participants will learn advanced functions of Microsoft Excel. They will work with complex formulas, consolidating tables, and special functionalities, including conditional formats, validation rules, and custom formats. Participants will evaluate lists in various ways, link tables and files, and exchange data with other programs.