- Prochain date:
- Kurse starten monatlich
- Durée totale:
- 840 Stunden in 5 Monaten
- Stage:
- Nein
- Langues d'enseignement:
- Englisch
- Type de formation:
- Weiterbildung
- Forme de cours:
- Präsenzveranstaltung
- Temps d'exécution:
- Tagesveranstaltung
- Participants min.:
- 3
- Participants max.:
- 10
- Prix:
- keine Angaben
- Opportunité de financement:
- Bildungsgutschein
- Type de diplôme:
- Zertifikat/Teilnahmebestätigung
- Examen final:
- Nein
- Désignation de diplôme:
- Data Analyst
- Certifications du cours:
- SGB III-Maßnahmezulassung
- Numéro de certification du cours:
- 962/ 710 /2020
- Cours pour femmes uniquement:
- Nein
- Garde d’enfants:
- Nein
- Lien vers l’offre:
- Zum Angebot auf der Anbieter-Webseite
- Qualité de l’information:
- Suchportal Standard Plus
- Groupes cibles:
- Career Changers & Absolute Beginner
- Connaissances spécialisées:
- Individuelle Eignungsfeststellung
- Connaissances techniques:
- Keine besonderen Anforderungen.
- Classification de l’Agence pour l’emploi:
- keine Angaben
Contenus
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.
Toutes les informations sont sans garantie. Les prestataires sont seuls responsables de la justesse des informations mises à disposition.
Première publication le 12.05.2025, dernière mise à jour le 12.05.2025