Data Science - Time Series Forecasting

Course overview

This training provides you with practical knowledge in the field of Data Science with a focus on time series forecasting. You will learn to confidently categorize typical tasks, apply suitable methods and tools, and prepare results in a comprehensible manner. The focus is on practical applications from the fields of Data Science and Python that will support you in professional tasks. Data foundations and analysis objectives in the context of Data Science with a focus on time series forecasting distinguish relevant data sources, data types, and analysis questions professionally assess data structures, data quality, and significance derive key figures, metrics, and evaluation objectives from requirements plan and document analysis processes in a comprehensible manner Methods and tools for data preparation and evaluation purposefully use methods and tools for queries, calculations, or analysis steps clean, transform, and prepare data for evaluations implement recurring work steps in a structured and comprehensible manner prepare results for verification and interpret them professionally Visualization, reporting, and decision support present evaluation results in tables, charts, or dashboards structure reports appropriately for the target audience and highlight key messages derive anomalies, patterns, and deviations from data use data analyses as a basis for operational or strategic decisions Transfer to data-related tasks categorize typical tasks and requirements in the respective work field document and present professional results appropriately for the audience reflect on working methods and transfer them to your own professional situations derive the next implementation steps for everyday work in a structured manner This training supports you in handling typical tasks in the field of Data Science with a focus on time series forecasting more confidently and efficiently. You will combine professional knowledge with practical methods and tools from the fields of Data Science and Python. This will strengthen your operational security in professional tasks related to Data Science with a focus on time series forecasting, allowing you to apply the content directly in your professional life. You will work with ChatGPT, Google Gemini, MS Copilot, Visual Studio Code, Jupyter Notebooks, pandas, and NumPy.

Upcoming dates

• 2026-09-06T22:00:00.000Z · 2027-02-21T23:00:00.000Z · Eberswalde · Blended Learning
• 2026-09-06T22:00:00.000Z · 2027-02-21T23:00:00.000Z · Recklinghausen, Westfalen · Blended Learning
• 2026-09-06T22:00:00.000Z · 2026-11-29T23:00:00.000Z · Recklinghausen, Westfalen · Blended Learning
• 2026-09-06T22:00:00.000Z · 2026-11-29T23:00:00.000Z · Berlin · Blended Learning
• 2026-09-06T22:00:00.000Z · 2026-11-29T23:00:00.000Z · Erfurt · Blended Learning