Fundamentals of Data Science Training in Republic of the Philippines

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 3 Days
  • Level: Fundamentals
  • Price: From €4,517+VAT
We can host this training at your preferred location. Contact us!

Fundamentals of Data Science is a three day overview course which blends discussion and group exercises to explore the field of data science with applied real world examples and projects.

Teaching begins with a conceptual introduction to science, data science, big data and machine learning; followed by a litany of real-world data science and machine learning examples.

The remainder is divided into two parts: introduction to Python, and the application of the language in building a Machine Learning model (including data preparation, statistical tests, feature engineering, modelling and evaluation).

Delegates attending this course should have technical skills such as application or SQL programming – expose to Python or R would be advantageous.

01 Introduction to Data Science

  • To better understand whether you want to become a data scientist
  • To work with colleagues who are data scientists
  • To judge whether your team (or organization) could benefit from data science

02 Data Science Project Examples

03 Jupyter Notebook

  • Practical Lab Activities

04 Introduction to Python

  • Practical Lab Activities

05 Introduction to Datasets in Python

  • Practical Lab Activities

06 Introduction to Machine Learning

  • To understand what these are, what the different types are and some examples of what they are used for.

07 Introduction to Dataframes and Databases with Python

  • Practical Lab Activities

08 Exploratory Data Analysis with Python

  • Practical Lab Activities

09 Introduction to Big Data

  • To better understand what skills need to be developed
  • To choose the right tools to suit organisational needs
  • To develop a strategy for working with Big Data


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Republic of the Philippines facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

15 January 2025 (3 Days)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
25 January 2025 (3 Days)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
15 January 2025 (3 Days)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
25 January 2025 (3 Days)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
25 February 2025 (3 Days)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
01 March 2025 (3 Days)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
25 February 2025 (3 Days)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom
01 March 2025 (3 Days)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom

Related Trainings

Fundamentals of Data Science Training Course in Philippines

The Philippines, officially the Republic of the Philippines, is an island country of Southeast Asia. The island country is located in the western Pacific Ocean, and consists of approximately 7.640 islands. And those islands are categorized under three main geographical divisions: Mindanao, Luzon and Visayas. Manila is the capital city of the Philippines and the resort island in the Western Visayas region, Boracay is one of the most popular vacation spots.

The climate of the Philippines is tropical and monsoonal. From May to October, rain-bearing winds blow from the southwest while drier winds come from the northeast from November to February. That's why the best time to visit the Philippines is during the dry season between November and April.

Discover a wealth of IT courses tailored to your needs, encompassing programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Let our experienced instructors guide you through hands-on training and offer valuable insights at any location of your preference within Philippines.
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