Data Analytics Classes Germany

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.

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.

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 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.

This nine-week data analytics bootcamp offered in Berlin focuses in-depth on the uses of Python, Pandas, SQL, and create dashboards. Students will demonstrate their knowledge with a capstone project.

Students in this program will learn important concepts and tools for business analytics, machine learning, and data engineering included (but not limited to) Python, Tableau, and SQL. They'll also explore data collection, inferential statistics, and deep learning.

Python is used for a different project each week to teach students data analysis and machine learning. Topics in the course include Pandas, SciKit-Learn, model math, and Deep Learning.

The DSR curriculum covers three dimensions of data science: engineering, analytics, and business. Within each of these disciplines are included sub-topics ranging from Python and SQL to machine learning, probability and statistics, and technical and presentation skills.

This nine-week bootcamp gives participants the skills they need to join data science teams or accelerate their current career growth. Learn how to convert raw data into insightful information. Specific course topics include understanding basic statistical theories, using Python to write code, using seaborn and matplotlib to visualize data, using SQL to develop databases, publishing findings, data processing, using performance metrics, overfitting, unsupervised learning, managing images and text, understanding neural networks, developing computer vision, machine learning, and a capstone project.

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.

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.

This course gives Excel users foundational knowledge of the important functions, their structure, and how they work. Participants will learn which function categories Excel offers and the expanded function pool of add-ins. They will also receive an overview of Excel functionalities.

This course shows experienced users of Microsoft Excel how to use the program as a database. Participants will learn list evaluation, list processing, the data connection to Access, and evaluation options. They will also learn to create pivot tables, rearrange existing ones, and filter and sort data.

In this course, experienced Microsoft Excel users learn how to use the Excel programming language VBA (Visual Basics for Application). In the development environment, participants will learn how to construct models that they can use repeatedly. Participants will also work with user-defined functions and linear structures to control and manage spreadsheets and workbooks.

In this course, experienced Microsoft Excel and VBA (Visual Basics for Application) users can gain advanced skills. Participants explore data types, event functions, for-each functions, custom functions, and dialog forms. Through this course, participants will simplify recurring steps and automate tasks.