Junior Data Analyst Practical Knowledge

Course overview

Learn practical knowledge for data analysis to make data-driven decisions in the role of a Junior Data Analyst. Exploratory Data Analysis for Data-Driven Decisions in the Junior Data Analyst Course Recognize and analyze patterns and trends in large datasets Apply feature engineering to improve data quality and model accuracy Utilize statistical methods to derive informed data-driven insights SQL for Efficient Queries and Data Processing Use joins and aggregations to conduct structured analyses Write optimized queries to enhance performance in data analysis Manage databases efficiently to supply reports and dashboards with high-quality data Interactive Visualization and Reporting with Power BI Create dynamic dashboards to present analysis results visually Use DAX functions to generate in-depth calculations and KPIs Develop meaningful reports to support data-driven business decisions Automated Data Pipelines for Structured Analysis Processes Clean, transform, and integrate data sources for reports and dashboards Utilize efficient workflows to optimize recurring analysis tasks Apply automation techniques to make data processes more efficient and consistent

Upcoming dates

• 2026-08-23T22:00:00.000Z · 2027-03-01T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2027-03-01T23:00:00.000Z · Wiesbaden · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2027-03-01T23:00:00.000Z · Dresden · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2027-03-01T23:00:00.000Z · Leipzig · Hybrid Learning
• 2026-08-23T22:00:00.000Z · 2027-03-01T23:00:00.000Z · Laatzen bei Hannover · Hybrid Learning