Tools for Data Analyst Careers

Course overview

Introduction to Data Analytics and the Job Profile Basics of Data Analysis and typical tasks in the Data Analyst profession Understanding of KPIs, metrics, and data-driven processes Introduction to tools such as Spreadsheets, SQL, and Python Python Basics for Junior Data Analysts Understanding variables, conditions, loops, and functions Working with Jupyter Notebooks for interactive analyses Data preparation and initial evaluations with Pandas SQL for Structured Data Analysis Querying data with SELECT, WHERE, GROUP BY, and JOINs Creating simple reports and KPIs with SQL Using relational data models for analysis Data Visualization and Reporting Creating dashboards with Tableau for business audiences Visualizing key figures, trends, and patterns Storytelling with data for clear communication Practical Project for Aspiring Data Analysts End-to-end data analysis with Python, SQL, and Tableau Cleaning, analyzing, and visually presenting data Preparation for typical tasks in the Junior Data Analyst profession The Data Analyst tools used in the course include Spreadsheets, SQL, Python, Jupyter Notebooks, and Tableau to analyze data-driven processes.

Upcoming dates

• 2026-11-29T23:00:00.000Z · 2027-02-26T23:00:00.000Z · Aachen · Combined Learning
• 2026-11-29T23:00:00.000Z · 2027-02-26T23:00:00.000Z · Bielefeld · Combined Learning
• 2026-11-29T23:00:00.000Z · 2027-02-26T23:00:00.000Z · Bonn · Combined Learning
• 2026-11-29T23:00:00.000Z · 2027-02-26T23:00:00.000Z · Dresden · Combined Learning
• 2026-11-29T23:00:00.000Z · 2027-02-26T23:00:00.000Z · Duisburg · Combined Learning

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