Individuals

Individual Courses

Empower Your Career with In-Demand Knowledge and Tools

Master Data & Tech Skills

Explore a wide range of courses designed to equip you with essential skills.

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Python Basics

Learn Python programming from scratch to analyze and manipulate data effectively.

  • Key Topics:
    • Variables, loops, and data types.
    • Functions and data structures (lists, dictionaries, etc.).
    • Introduction to libraries like Pandas for data manipulation.
  • Duration: 4 weeks.
  • Price: €2,000.
  • Prerequisites: None – suitable for beginners.
  • Outcomes: Write Python scripts for data analysis and automation.
  • Relevant Roles: Data Analyst, Data Engineer, Data Scientist, AI Product Manager.
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Advanced Python

Dive deeper into Python for advanced data processing and automation.

  • Key Topics:
    • Advanced Pandas and NumPy operations.
    • File handling, APIs, and scripting.
    • Building reusable modules and classes.
  • Duration: 4 weeks.
  • Price: €2,000.
  • Prerequisites: Python Basics or equivalent knowledge.
  • Outcomes: Automate workflows and process complex datasets.
  • Relevant Roles: Data Engineer, Data Scientist.
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SQL

Master SQL for querying, filtering, and analyzing data from relational databases.

  • Key Topics:
    • Writing queries with SELECT, WHERE, and JOIN clauses.
    • Aggregations (SUM, COUNT, AVG).
    • Database design principles and normalization.
  • Duration: 3 weeks.
  • Price: €1,500.
  • Prerequisites: Basic computer skills.
  • Outcomes: Extract and manipulate data from databases.
  • Relevant Roles: Data Analyst, Data Engineer, Data Scientist, AI Product Manager.
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Data Visualization

Learn to create visualizations and dashboards to communicate insights effectively.

  • Key Topics:
    • Building charts (bar, line, heatmaps).
    • Dashboards using Tableau or Power BI.
    • Storytelling with data visualizations.
  • Duration: 3 weeks.
  • Price: €1,500.
  • Prerequisites: Basic knowledge of data analysis (Python or Excel).
  • Outcomes: Build interactive dashboards to present findings.
  • Relevant Roles: Data Analyst, AI Product Manager, Data Scientist.
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Statistics Basics

Understand the core statistical concepts for analyzing data.

  • Key Topics:
    • Probability distributions and descriptive statistics.
    • Hypothesis testing and confidence intervals.
    • Correlation and regression basics.
  • Duration: 3 weeks.
  • Price: €1,500.
  • Prerequisites: None – suitable for beginners.
  • Outcomes: Apply statistical methods to real-world problems.
  • Relevant Roles: Data Analyst, Data Scientist.
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Machine Learning Basics

An introduction to building predictive models using machine learning.

  • Key Topics:
    • Supervised vs. unsupervised learning.
    • Linear regression, classification, and clustering.
    • Model evaluation (accuracy, precision, recall).
  • Duration: 4 weeks.
  • Price: €2,000.
  • Prerequisites: Python Basics, Statistics Basics.
  • Outcomes: Build and evaluate simple ML models using Python.
  • Relevant Roles: Data Scientist, AI Product Manager.
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ETL Pipelines

Learn to extract, transform, and load data efficiently.

  • Key Topics:
    • Data extraction from various sources.
    • Cleaning and transforming data.
    • Automating workflows with Python or Apache Airflow.
  • Duration: 4 weeks.
  • Price: €2,000.
  • Prerequisites: Python Basics, SQL.
  • Outcomes: Create and manage data pipelines for businesses.
  • Relevant Roles: Data Engineer.
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Cloud Computing Basics

Explore the fundamentals of managing data and workflows in the cloud.

  • Key Topics:
    • Introduction to AWS, Azure, and Google Cloud.
    • Cloud storage and virtual machines.
    • Deploying applications and cost optimization.
  • Duration: 4 weeks.
  • Price: €2,000.
  • Prerequisites: Basic IT knowledge or familiarity with Python.
  • Outcomes: Work with cloud platforms for scalable data solutions.
  • Relevant Roles: Data Engineer, AI Product Manager.
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Big Data Tools

Learn to process and analyze massive datasets using big data tools.

  • Key Topics:
    • Introduction to distributed computing.
    • Working with Apache Spark.
    • Querying large datasets with Spark SQL.
  • Duration: 4 weeks.
  • Price: €2,000.
  • Prerequisites: Python Basics, SQL.
  • Outcomes: Analyze large datasets efficiently using distributed systems.
  • Relevant Roles: Data Engineer, Data Scientist.
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Deep Learning

Build neural networks for advanced AI applications.

  • Key Topics:
    • Basics of neural networks.
    • Convolutional Neural Networks (CNNs) for image processing.
    • Recurrent Neural Networks (RNNs) for sequential data.
  • Duration: 6 weeks.
  • Price: €3,000.
  • Prerequisites: Machine Learning Basics.
  • Outcomes: Train and deploy AI models for advanced tasks.
  • Relevant Roles: Data Scientist.
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Agile Project Management

Master Agile methodologies for efficient team and project management.

  • Key Topics:
    • Scrum framework (roles, sprints, and ceremonies).
    • Kanban boards for workflow visualization.
    • Using tools like JIRA and Trello.
  • Duration: 2 weeks.
  • Price: €1,000.
  • Prerequisites: None – suitable for all professionals.
  • Outcomes: Lead Agile teams and manage projects effectively.
  • Relevant Roles: AI Product Manager.
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Ethical AI

Learn to design and deploy AI systems responsibly.

  • Key Topics:
    • Addressing biases and fairness in AI.
    • GDPR compliance for AI systems.
    • Case studies on ethical dilemmas in AI.
  • Duration: 2 weeks.
  • Price: €1,000.
  • Prerequisites: None – suitable for all professionals.
  • Outcomes: Develop AI solutions that meet ethical and legal standards.
  • Relevant Roles: AI Product Manager, Data Scientist.
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