- Next Date:
- Kurse starten monatlich
- Total Duration:
- 840 Stunden in 5 Monate
- Internship:
- Nein
- Teaching Languages:
- Englisch
- Type of Course:
- Weiterbildung
- Type of Provision:
- Präsenzveranstaltung
- Execution Time:
- Tagesveranstaltung
- min. Participants:
- 3
- max. Participants:
- 10
- Price:
- keine Angaben
- Funding:
- Bildungsgutschein
- Type of Qualification:
- Zertifikat/Teilnahmebestätigung
- Final Examination:
- Nein
- Qualification Title:
- Data Analyst
- Certifications of the Course:
- SGB III-Maßnahmezulassung
- Certification Number of the Course:
- 962/ 710 /2020
- Courses for Women only:
- Nein
- Childcare:
- Nein
- Link to Course:
- Zum Angebot auf der Anbieter-Website
- Quantity of Details:
- Suchportal Standard Plus
- Target Groups:
- Career Changers & Absolute Beginner
- Professional Requirements:
- Individuelle Eignungsfeststellung
- Technical Requirements:
- Keine besonderen Anforderungen.
- Classification of the Federal Employment Agency:
- keine Angaben
Contents
This course aims at preparing students to have solid fundamentals of Python and Statistics with a special emphasis on Story telling. Once you grasp the concepts of Pandas and Numpy, you will start mastering Data Visualization Techniques with Tableau, Matplotlib and Seaborn.
Tableau: it is the most popular tool for data visualization and creating dashboards. Most of the Fortune Global 500 companies are using this tool in the Business Intelligence department.
Once you have acquired all the necessary skills of a Data Analyst, you will work with SQL databases to analyze an e-commerce business. You will be tasked to understand the key concepts of marketing KPIs and provide insights to help this real-life use case.
SQL: is the top language for databases used in the tech industry, especially among data scientists. Is fundamental knowledge for anyone who wants to enter the world of business intelligence.
After harnessing all the skills of a Data/Business Analyst, you will have all the tools to get introduced to either the Data Science world or the Data Engineer world. Based on what you'll pick you will get an overview of the main concepts of Deep Learning and Natural Language Processing or on the main concept of Web Development and Data Pipelines.
This last module will then focus on working on your final project, which should reflect the direction you'll want to take in your future career.
All statements without guarantee. The providers are solely responsible for the correctness of the given information.
Published on 12.05.2025, last updated on 12.05.2025