Trainings & Workshops

Training Objectives

DCCC Digitalization is an essential lever for companies that want to increase their revenue, improve the quality of customer relations, and have a leaner and more efficient operation. This training aims to enable companies to review and adapt all their applications, from production/service models to management culture, from customer relations to supply chain, following the digitalization process.

Training Content

  • Digital mastery
  • New business models
  • Five areas of digital transformation
    • Customer
    • Competition
    • Data
    • Innovation
    • Value
  • Digital strategy development
  • Digital transformation management
  • Funding the transformation
  • Development of the digital partnerships
  • Making digital transformation sustainable

Duration

2 days

Training Objectives

Digitalization in the industry can create value with efficiency and productivity increases at every stage of the value chain. This training aims to understand the technologies and application areas used in the digital transformation process of the industry.

Training Content

  • Industry 4.0 development process
  • Interpreting the DIN 4.0 standardization guide
  • Industry 4.0 technologies
    • Artificial intelligence
    • Big data technologies and advanced analytics
    • Cloud computing
    • Internet of Things
    • Next-generation smart sensor technologies
    • Cybersecurity
    • Blockchain
    • Augmented and virtual reality
  • The current situation in Turkey
  • That person
    • Technology
    • Infrastructure
    • Suppliers
    • Users
    • Governance

Duration

2 days

Training Objectives

In today’s business world, the most important factor affecting the performance of businesses is innovation. Therefore, innovation-oriented management of production and service systems is of vital importance. This program aims to understand the technologies and application areas used in the field of innovation management.

Training Content

  • Basic Concepts
  • Establishment of the management system
    • Identification of the organizational scope
    • Leadership for Innovation
    • Planning for innovation success
    • Factors facilitating/supporting innovation
    • Innovation management process
    • Performance evaluation of the innovation management system
    • Improvement of the innovation management system
    • Innovation management techniques
  • Tools and methods for innovation partnership
    • Innovation partnership framework
    • Entering into an innovation partnership
    • Selection of innovation partners
    • Tools, methods, case study
    • Alignment with the innovation partner
    • Interaction between partners
    • Case study: Innovation partner contract example and preparation
  • Intellectual property (IP) management
    • IP management framework
    • IP strategy
    • IP management in the innovation process
    • Tools and methods for IP generation, acquisition, and maintenance
    • Tools and methods for IP lookup
    • Tools and methods for assessing intellectual property rights
    • Tools and methods for intellectual property risk management
    • Tools and methods for IP exploitation
  • Innovation management evaluation
    • Data collection (qualitative and quantitative)
    • Data analysis
    • Reporting
    • Case studies

Duration

2 days

Training Objectives

Digitalization is an important lever for companies that want to increase their revenue, improve customer relations, and have a leaner and more efficient operation. This workshop aims to enable companies to review and adapt all their practices, from production/service models to management culture, from customer relations to supply chain, following the digitalization process.

Training Content

  • What is digital maturity?
  • What is the digital maturity level?
  • Private sector digital maturity level measurement studies
    • International practices (global practices)
    • Examples in Turkey
  • Digital maturity level determination models
  • Digital maturity level model categories and subtopics
    • Strategy and culture
    • Technological infrastructure
    • Data and analytics
    • Operations & processes
    • Customer
  • Determining the digital maturity level of the company
  • Development of the company’s digital strategy

Duration

3 days

Training Objectives

During the training, subjects such as examining data, extracting and visualizing summary statistics, the basic logic and use of the latest artificial intelligence models, and model performance measurements are covered at the detailed level. These topics are instructed with Python, the most popular program for data analysis today, and reinforced, thus allowing the participants to gain their coding skills or improve their existing skills.

Training Content

Training Program (with Subject Lecture)

  • Introduction to Data Science
    • What is Data? Variables, Population, Sample..
    • Key Data Analysis with Summary Statistics and Visualization
    • Data Preprocessing, Cleaning and Filling Missing Data
    • Outlier Analysis
    • Correlation
    • Introduction to Machine Learning Modeling
    • Linear Regression
    • Logistic Regression
    • Nearest K-Neighbor Classification (KNN)
    • Decision Trees
    • Bagging and Random Forest
    • Boosting and Gradient Boosting
    • Support Vector Machines
    • Clustering
    • Time Series Modeling

Training Program (Applied)

  • Python and Jupyter Notebook Installation
  • Basic Python Language (Conditions, Loops, Functions)
  • Numpy Library and Data Operations
  • Pandas Library and Data Operations
  • Data Reading and Preprocessing
  • Data Visualization
  • Scikit-Learn Library and Introduction to Modeling
  • Linear Regression
  • Logistic Regression
  • Size Reduction Techniques
  • Baging
  • Boosting
  • Support Vector Machines
  • K-Nearest Neighbor (KNN)
  • Time Series Modeling
  • Clustering Algorithms
  • Deep Learning
  • Example of End-to-End Data Analysis and Modeling

Duration

10 days