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Data & Analytics

Data Analytics Engineering is the process of collecting, processing and analyzing large data sets to allow for data-driven decision making. It spans various techniques and tools to extract insights and correlations from data.

 Data Analytics engineers are highly sought after in various industries and business domains. They also have multiple options for professional development and career growth, with job pathways ranging from Data Quality to Data Visualization and beyond.

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What tasks do Data Analytics engineers have?

Data Analytics engineers play a key role in utilizing technical skills and analytical expertise to extract valuable insights from data and support data-driven decision-making. Their project tasks usually include:

  1. Data Collection and Preparation: Gathering, cleaning and transforming data from various sources into a usable format
  2. Data Modeling: Designing and implementing data models to efficiently represent data structure and relationships for analysis
  3. Data Integration: Combining data from multiple sources to create a unified view
  4. Database Management: Optimizing data storage, query performance and ensuring data security and privacy
  5. Data Visualization: Creating visually appealing charts, graphs and dashboards to present insights to stakeholders
  6. Data Quality: Implementing data governance policies to ensure data quality, security and compliance with regulations

They also collaborate with data scientists, business analysts and stakeholders to provide data-driven solutions based on business requirements.


Choose Data Analytics Engineering if you:

  • Have a basic understanding of Structured Query Language (SQL) and Relational Database Management System (DBMS) theory
  • Know English well enough for reading tech documentation and communicating on tech and non-tech topics
  • Are a lifelong learner willing to spend a significant amount of time honing your technical skills


What will you learn?

We focus on providing motivated novices with the essential skillset for the powerful start in IT. Our graduates gain the knowledge, skills and hands-on experience required to step straight into working on real-life projects.

Our Data Analytics Engineering training programs are designed to equip you with the necessary expertise in four major areas:

  • Data Quality where you will get a thorough understanding of data validation and transformation techniques to ensure high-quality information
  • Data Integration where you will learn the development and support of diverse data transformations and migrations for seamless integration
  • Data Visualization where you will unlock the art of creating interactive and complex data visualizations using analysis tools
  • Business Intelligence (BI) Analysis where you will master utilizing various analytics tools to gain insights and assess business performance effectively

At more advanced training stages, you will also dive into Python, Data Warehousing, PostgreSQL and cloud technologies.


Useful Data Analytics Engineering materials

Explore articles from our blog to learn more about Data Analytics engineer profession, the benefits of starting your career in the fascinating world of data and preparation guides for a powerful start:

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