Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.
Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.
Become proficient in Microsoft Excel and go from beginner to pro with our hands-on Excel Bootcamp. Learn functions, formulas, Pivot Tables, macros, and time-saving techniques to conquer all the key skills needed to excel in Excel.
Learn how to use Tableau, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. This course will teach you how to connect to datasets, analyze and structure data, customize visualizations, and publish your work.
Learn how to use Power BI, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. Learn how to connect to datasets, analyze and structure data, customize visualizations, and publish reports.
Learn the fundamentals of data analytics, including descriptive and inferential statistics, and how different industries and organizations use data for forecasting and decision-making. Explore statistical analysis and modeling, including statistical algorithms, theorems, and models.
Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.
Automate and enhance the data analysis process with artificial intelligence (AI). In this course, you'll learn how to utilize AI tools to collect, preprocess, analyze, visualize, and interpret data without the need for extensive coding knowledge.
Learn to gather, manipulate, and analyze real-life data in this course, where you'll gain hands-on experience with Python's NumPy and Pandas libraries. Develop your data visualization skills using Matplotlib, Seaborn, Plotly, and Dash Enterprise, and complete real-life projects that can be deployed online.
Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
Learn Tableau for data visualization and become a certified Tableau Desktop Specialist in this hands-on certification course.
Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.
Learn Power BI for data analysis & visualization and become a certified Power BI Data Analyst Associate in this hands-on certification course.
Boost your resume with a Microsoft Excel Certification. Our program offers three courses, private training, the Specialist Exam fee with free retake, lifetime access to Excel video courses, and free exam proctoring.
Between the technology we rely on to manage our finances, medical records, and social lives and the information compiled by scientific research labs—we live in an increasingly data-driven world. Information collected every time someone visits a website or experiences a positive outcome during a clinical drug trial is parsed through data analysis. Many businesses rely on conclusions drawn by data analysts to help advise pivotal decisions and create more effective advertising.
However, to transform data into actionable information, Data Analysts must first gather and organize the data into spreadsheets. They then use their statistics, mathematics, and computer science background to reach a valid conclusion. In addition, industry-specific knowledge such as an understanding of medical lab testing, is crucial in helping Analysts reach conclusions.
Every field and industry has data that must be analyzed, enabling Data Analysts to specialize in areas that best align with their passions. Data Analysts are in high demand and likely to make a comfortable living for as long as they’re in the business.
As a world leader in clean energy and technology research, Germany has abundant job opportunities for Data Analysts interested in these topics. Germany also has plenty of data-related work in finance, business, market research, web traffic, and STEM fields such as biotechnology and genetics.
Germany's median annual salary for all Data Analyst positions is just over $60,000. But gaining more experience and developing a specialization increases earning power over time. Business Analysts specialize in using data to help companies create business strategies and can earn up to $80,000 in senior roles. Senior Financial Analysts can earn upwards of $120,000 annually in Germany for their expertise in stocks, markets, and financial strategy.
Finding success in one of these roles requires a multi-disciplinary skill set. One of the most efficient ways to develop such a skill set is to participate in a career training program such as a data analytics bootcamp or certificate course.
Learning data analytics in a face-to-face course is perfect for those who thrive in social situations. Fortunately, with plenty of schools in Germany offering in-person data analytics courses, students can choose between short masterclasses that explore basics and more intensive bootcamps.
A popular resource for short masterclasses on Excel, Thorsten Kebel IT Trainings (Kebel) provides classes at several campuses throughout Germany. The Knowledge Academy has a variety of great short courses for beginners ready to start exploring Python Data Science, Tableau, or Microsoft Power BI.
More rigorous bootcamps are available through several schools in Berlin and Munich, including a Data Analytics program taught at SPICED Academy. Students can also find a Python-focused Data Science bootcamp at SPICED Academy. WBS Coding School offers a Data Science bootcamp covering skills for business analytics, data engineering, and machine learning. Data Science Retreat, Le Wagon, and Constructor Learning offer similar courses.
Live online learning gives students a comprehensive way to prepare for a data analytics job without leaving home. With real-time instruction from an expert, live online classes give students the hands-on practice they need to succeed.
For over three decades, Noble Desktop has provided high-quality online data analytics courses now available in Germany. Noble’s diverse selection of courses for students in Germany include intensive data analytics bootcamps designed to stretch students beyond the basics they’d receive in a shorter class. Students can survey a broad selection of data analytics topics in the Data Analytics Bootcamp or focus on specifics in classes like the Tableau Bootcamp, the Excel Bootcamp, or the SQL Bootcamp.
Highly motivated students may also be interested in attending one of Noble’s dedicated career certification courses, which provide additional mentorship and job support for those committed to becoming professional data specialists. The Data Analytics Certificate is open to beginners and covers everything future professionals need to know about Tableau, SQL, and Excel. Noble also offers a Data Science Certificate, exploring Python, queries, and automation.
Additionally, teens can enroll in NextGen Bootcamp’s data analytics classes for high schoolers in Germany. Classes run during the summer and include Python and JavaScript programming, data science, and computer science.
Data Analysts and Data Scientists often get their start in bootcamp programs, which provide hands-on, skills-focused training and real professional experience rather than lectures on fundamentals, as is often the case in short seminars and masterclasses. Most bootcamps are taught by experts who can answer questions and help students work through software problems one-on-one.
One of the benefits of bootcamps is that while they’re usually open to beginners, students graduate with a sophisticated skill set that can see them through the first days of their careers. Read more about data analytics bootcamps in Germany by checking out Noble Desktop’s course finder tool.
Noble Desktop has education options for companies hoping to provide employee data training. Employers can book corporate data analytics training online or onsite in Germany with group discounts. Inquire about booking a session by emailing Noble Desktop.