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Global Tech Council
Vorschau auf die Zertifizierung Certified Data Science Developer
Advanced NiveauData Science

Certified Data Science Developer®

Zertifizierungscode: CDASC

Certified Data Science Developer is a comprehensive, industry-focused certification programme designed to help professionals master data science, machine learning, analytics engineering, predictive modeling, AI-powered data systems, and enterprise analytics development. This certification equips learners with practical expertise in collecting, processing, analyzing, and visualizing data while building scalable machine learning and analytics solutions - making it ideal for professionals who want to build successful careers in data science, machine learning engineering, analytics development, AI systems, and enterprise intelligence operations.

Through this certification, learners will develop a strong understanding of data science fundamentals, statistical analysis, Python programming, data engineering, machine learning workflows, data visualization, predictive analytics, and cloud-based analytics operations. The programme focuses on practical implementation, enterprise readiness, operational scalability, governance-driven analytics practices, and intelligent data automation systems. The certification also dives into advanced concepts such as deep learning, generative AI integration, natural language processing (NLP), big data analytics, cloud-native data science workflows, MLOps automation, real-time analytics systems, AI-powered business intelligence, data orchestration, Kubernetes-based AI infrastructure, predictive intelligence systems, data governance frameworks, and enterprise digital transformation strategies.

4.8(150 Bewertungen)| 5,000+ angemeldet| Available globally

$299

Ratenzahlung (EMI) verfügbar

18 Hours

Lerndauer

6 Weeks

Programmdauer

Self Paced

Zugangsart

Chat, Email & Phone

Lernunterstützung

Was Sie lernen

Statistical analysis and probability fundamentals
Data wrangling, cleaning and preparation
Exploratory data analysis and visualisation
Supervised and unsupervised machine learning
Predictive modelling on real-world datasets
Big data tools and modern data stacks
Storytelling with data for business decisions
Hands-on: Basics of Python for Data Science
Hands-on: Data Preprocessing
Hands-on: Data Visualization

Über diese Zertifizierung

A Certified Data Science Developer is a data and AI specialist skilled in building predictive analytics systems, developing machine learning models, managing data science workflows, automating enterprise reporting systems, optimizing intelligent data pipelines, and supporting scalable enterprise analytics operations.

Für wen ist diese Zertifizierung geeignet?

Data Scientists and Analytics Professionals

Looking to strengthen expertise in machine learning systems and enterprise analytics workflows.

Software Developers and Cloud Engineers

Seeking advanced knowledge of AI-powered analytics and scalable data science operations.

BI and Reporting Teams

Interested in predictive intelligence, data visualization, and enterprise reporting automation.

Consultants and Enterprise Advisors

Planning to support organizations through AI-driven analytics transformation initiatives.

Students and Career Changers

Aspiring to enter data science and AI development roles with a globally recognized certification.

Enterprise Operations Teams

Looking to improve decision-making, automation, and intelligent business analytics systems.

Voraussetzungen

Basic understanding of technology concepts
No prior specialized experience necessary - the program starts from foundations
A computer with internet access for hands-on labs and exercises
Curiosity and willingness to learn new technologies

Enthaltene Module

14 Module · 0 Lektionen · 18 Hours
  • How to Install Python
  • History of Python
  • Python Variables
  • Loops in Python
  • Python Collection Data Types
  • OOP Concepts
  • Exception Handling
  • Regular Expression
  • Python NumPy Arrays
  • Matrix and its Operations
  • Functions in Python
  • User Defined Functions in Python
  • Scope in Python
  • Introduction to Methods
  • Packages in Python and PIP
  • Pandas and DataFrames
  • Import and Export Data from CSV
17 Lektionen

Vorteile der Zertifizierung

Mit der Zertifizierung Certified Data Science Developer® erwerben Sie einen in der Branche anerkannten Qualifikationsnachweis und praxisbezogenes Fachwissen.

Blockchain-Technologie
In der Branche anerkannt

Beitreten 5,000+ zertifizierte Fachkräfte weltweit

Seit 2016 vertrauen uns Menschen in 145+ Ländern

Comprehensive Understanding of Data Science and Enterprise Analytics

The Certified Data Science Developer certification provides a comprehensive understanding of statistical analysis, machine learning workflows, deep learning systems, NLP, generative AI, data visualization, cloud analytics, MLOps automation, governance frameworks, and enterprise data science operations.

Nachweis von Fachkompetenz

Obtaining the Certified Data Science Developer certification validates your ability to build predictive models, automate analytics workflows, optimize machine learning systems, improve enterprise intelligence operations, strengthen governance readiness, and support enterprise analytics transformation effectively.

Bessere Karrierechancen

Certified professionals can explore opportunities across data science, machine learning engineering, AI development, predictive analytics, cloud data operations, business intelligence, enterprise reporting, and digital transformation initiatives.

Anerkennung in der Branche

The Certified Data Science Developer certification demonstrates your commitment to professional analytics practices and your ability to support organizations using scalable, intelligent, and automation-driven enterprise data systems.

Bleiben Sie an der Spitze der Innovation

The certification programme helps you stay updated with the latest advancements in machine learning, generative AI, cloud-based analytics, predictive intelligence, MLOps automation, real-time analytics systems, and enterprise AI transformation practices.

Fachkraft mit Blockchain-Zertifizierung

Erwerben Sie Ihr offizielles Zertifikat

Nach erfolgreichem Abschluss erhalten Sie ein überprüfbares digitales Zertifikat, das von Arbeitgebern weltweit anerkannt wird. Teilen Sie es auf LinkedIn, fügen Sie es Ihrem Lebenslauf hinzu oder überprüfen Sie es über unser Online-Portal.

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Häufig gestellte Fragen

Certified Data Science Developer Certification is an advanced certification focused on data science, machine learning, predictive analytics, AI-powered systems, cloud analytics, business intelligence, and enterprise data operations. It is important because organizations increasingly rely on intelligent analytics systems and predictive intelligence platforms to improve operational efficiency and strategic decision-making.

Diese Zertifizierung umfasst

18 hours of HD video content
0 comprehensive lessons
Materialien & Kurzübersichten zum Herunterladen
Offizielles Abschlusszertifikat
Zugang zum Online-Portal zur Verifizierung
Weltweite Anerkennung in 145+ Ländern
Zugang zum Alumni-Netzwerk
Lebenslang kostenlose Inhaltsaktualisierungen

Details auf einen Blick

ZertifizierungscodeCDASC
NiveauAdvanced
Dauer18 Hours
Module10 modules
FormatIm eigenen Lerntempo
SpracheEnglish
ZugriffszeitraumLifetime
Zuletzt aktualisiertFebruary 2026

Fachkompetenz des Councils

Global Tech Council

Verifizierter Aussteller

This certification is developed and maintained by the Global Tech Council's panel of industry experts with decades of combined experience in data science.

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Wichtige Berufsbilder

Data ScientistMachine Learning EngineerData AnalystAnalytics EngineerBusiness Intelligence DeveloperAI DeveloperPredictive Analytics SpecialistMLOps Engineer

Certified Data Science Developer

$299