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 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 - Utilizing 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 - Preparing for typical tasks in the Junior Data Analyst profession The tools used in the course include spreadsheets, SQL, Python, Jupyter Notebooks, and Tableau to analyze data-driven processes.

Upcoming dates

• 2026-10-25T23:00:00.000Z · 2027-01-22T23:00:00.000Z · Aachen · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-01-22T23:00:00.000Z · Bielefeld · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-01-22T23:00:00.000Z · Bonn · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-01-22T23:00:00.000Z · Dresden · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-01-22T23:00:00.000Z · Duisburg · Combined Learning