rozšírené vyhľadávanie
Máte nejaké otázky?
+420 731 175 867 (Po-Pá: 09-17hod.)
SK
0 Košík

AI+ Data™

Kód kurzu: AT120

Táto časť nie je lokalizovaná

Price of the certification exam is included in the price of the course.

Formerly known as AI+ Data™

Mastering AI, Maximizing Data: Your Path to Innovation

  • Core Concepts Covered: Data Science foundations, Python, Statistics, and Data Wrangling
  • Advanced Topics: Dive into Generative AI, Machine Learning, and Predictive Analytics
  • Capstone Application: Solve real-world problems like employee attrition with AI
  • Career Readiness: Develop skills for AI-driven data science roles with hands-on mentorship
Akční cena
350 EUR

431 EUR s DPH

Výber termínov
Máte otázku?
+420 731 175 867 edu@edutrainings.cz

Odborní
certifikovaní lektori

Mezinárodne
uznávané certifikácie

Široká ponuka technických
a soft skills kurzov

Zobraziť soft skills kurzy

Skvelý zákaznicky
servis

Prispôsobenie kurzov
presne na mieru

Termíny kurzov

Počiatočný dátum: Na vyžiadanie

Forma: Self-Paced

Dĺžka kurzu: 40 hodín

Jazyk: en

Cena bez DPH: 350 EUR Akční cena

Registrovať

Počiatočný
dátum		 Miesto
konania		 Forma Dĺžka
kurzu		 Jazyk Cena bez DPH
Na vyžiadanie Self-Paced 40 hodín en A 350 EUR Registrovať
G Garantovaný kurz
A Akční cena

Nenašli ste vhodný termín?

Napíšte nám o vypísanie alternatívneho termínu na mieru.

Kontakt

Popis kurzu

Táto časť nie je lokalizovaná

Demand for Certified Experts:

Organizations seek certified experts who can transform complex data into actionable insights while ensuring data integrity and privacy.

Mitigating Data and AI Risks:

Poor handling of data and AI technologies can lead to inaccurate analysis and business risks. This certification helps professionals mitigate such challenges.

Designing AI-Driven Data Strategies:

Certified professionals play a crucial role in designing AI-driven data strategies that optimize performance and align with regulatory standards.

Career Advancement:

As AI-powered data solutions become essential for businesses, this certification provides professionals with a competitive edge in advancing their careers.

  • Google Colab
  • MLflow
  • Alteryx
  • KNIME

Cieľová skupina

Táto časť nie je lokalizovaná

Data Analysts & Scientists: Enhance data analysis capabilities using AI for predictive modeling and decision-making.

Business Intelligence Professionals: Leverage AI to uncover insights, trends, and opportunities in complex data sets.

IT Specialists & System Integrators: Implement AI-powered solutions to optimize data management and infrastructure.

Data Engineers: Design and develop AI-driven data pipelines and architectures for scalable solutions.

Students & New Graduates: Build valuable AI and data science skills to thrive in an increasingly data-driven world.

Štruktúra kurzu

Táto časť nie je lokalizovaná

Course Overview

Module 1: Foundations of Data Science

  • 1.1 Introduction to Data Science
  • 1.2 Data Science Life Cycle
  • 1.3 Applications of Data Science

Module 2: Foundations of Statistics

  • 2.1 Basic Concepts of Statistics
  • 2.2 Probability Theory
  • 2.3 Statistical Inference

Module 3: Data Sources and Types

  • 3.1 Types of Data
  • 3.2 Data Sources
  • 3.3 Data Storage Technologies

Module 4: Programming Skills for Data Science

  • 4.1 Introduction to Python for Data Science
  • 4.2 Introduction to R for Data Science

Module 5: Data Wrangling and Preprocessing

  • 5.1 Data Imputation Techniques
  • 5.2 Handling Outliers and Data Transformation

Module 6: Exploratory Data Analysis (EDA)

  • 6.1 Introduction to EDA
  • 6.2 Data Visualization

Module 7: Generative AI Tools for Deriving Insights

  • 7.1 Introduction to Generative AI Tools
  • 7.2 Applications of Generative AI

Module 8: Machine Learning

  • 8.1 Introduction to Supervised Learning Algorithms
  • 8.2 Introduction to Unsupervised Learning
  • 8.3 Different Algorithms for Clustering
  • 8.4 Association Rule Learning with Implementation

Module 9: Advance Machine Learning

  • 9.1 Ensemble Learning Techniques
  • 9.2 Dimensionality Reduction
  • 9.3 Advanced Optimization Techniques

Module 10: Data-Driven Decision-Making

  • 10.1 Introduction to Data-Driven Decision Making
  • 10.2 Open Source Tools for Data-Driven Decision Making
  • 10.3 Deriving Data-Driven Insights from Sales Dataset

Module 11: Data Storytelling

  • 11.1 Understanding the Power of Data Storytelling
  • 11.2 Identifying Use Cases and Business Relevance
  • 11.3 Crafting Compelling Narratives
  • 11.4 Visualizing Data for Impact

Module 12: Capstone Project – Employee Attrition Prediction

  • 12.1 Project Introduction and Problem Statement
  • 12.2 Data Collection and Preparation
  • 12.3 Data Analysis and Modeling
  • 12.4 Data Storytelling and Presentation

Optional Module: AI Agents for Data Analysis

  • 1. Understanding AI Agents
  • 2. Case Studies
  • 3. Hands-On Practice with AI Agents

Predpokladané znalosti

Táto časť nie je lokalizovaná

Basic knowledge of computer science and statistics, data analysis, fundamental AI/ML concepts, Python and R.

Potrebujete poradiť alebo upraviť kurz na mieru?

pruduktová podpora

+420 731 175 867

edu@edutrainings.cz

Certifikácie

Táto časť nie je lokalizovaná

50 questions, 70% passing, 90 minutes, online proctored exam