Do or do nothing?

Learning new stories opens up pathways for us to have more choices.
Choosing what we love allows us to stay with it longer than choosing what we have to do.

Project
10 +
Contents
300 +
Hours per week
40
Learning
Unlimited

“Engaging in data-driven tasks not only enhances our analytical capabilities but also equips us with the ability to extract valuable insights, thereby facilitating smarter decision-making processes within our work.”

Soranat Chamkring
Data & CDP Specialist

Data Analytics 2.0

A better workflow

Doing the same old tasks repeatedly will prevent us from learning anything new or taking leaps forward. Therefore, we should learn how to manage our tasks more efficiently.

Daily Task
Managing daily tasks in a consistent and orderly manner facilitates easier usability in our day-to-day lives.
Automation
For tasks with repetitive patterns, seek to automate them efficiently and with minimal margin for error.
Security.
Everything must adhere to security standards, authentication, and encryption at all times..
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My experience

Work experience with leading marketing company Adapter Digital, Predictive, and technology & data service providers.

  • Atawoot Wesaranurak

    CEO Adapter Digital

  • Kasidis Satangmongkol

    CEO Datarockie

  • Nuttakorn Rattanachaisit

    CEO Predictive

  • Songpon Yingsuwannachote

    Customer Experience Management

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FAQ

Frequenty asked questions

What is data analytics and why is it important?

Data analytics involves analyzing raw data to extract useful insights and make informed decisions. It's crucial because it helps businesses understand their customers, identify trends, optimize processes, and gain a competitive edge.

What are the key skills required to become a data analyst?

Key skills for a data analyst include proficiency in statistical analysis, data visualization, programming languages such as Python or R, database querying (SQL), critical thinking, and problem-solving.

How can data analytics benefit businesses?

Data analytics can benefit businesses in various ways, including improved decision-making, better understanding of customer behavior, identification of market trends, optimization of marketing campaigns, detection of potential risks or fraud, and enhancement of operational efficiency.

What is the role of a data engineer?

A data engineer is responsible for designing, constructing, and maintaining the infrastructure and architecture required for data generation, storage, and processing. They work closely with data scientists and analysts to ensure data availability, reliability, and accessibility.

What skills are essential for a career as a data engineer?

Essential skills for a data engineer include proficiency in programming languages like Python, Java, or Scala, knowledge of database systems (e.g., SQL, NoSQL), experience with big data technologies (e.g., Hadoop, Spark), understanding of data modeling and ETL (Extract, Transform, Load) processes, and strong problem-solving abilities.

How does a data engineer contribute to data-driven decision-making?

Data engineers play a crucial role in enabling data-driven decision-making by building and maintaining robust data pipelines, ensuring data quality and integrity, optimizing data storage and retrieval processes, and facilitating seamless integration of data across various systems and platforms within an organization.