Big Data Applications

Current Status
Not Enrolled
Get Started

Course Overview

English, Filipino ∙ Self-paced (1 hr 18 mins)

About the Course

Big data is the result of our need for distributed computing, which requires us to process a large amount of data while also requiring us to use additional resources, such as computer power and memory. This course will give you an introduction about big data and its application. 

Course Objective

  • To categorize data
  • To discuss 3 V’s.
  • To acquire insight of how to solve the problems with data and what are procedures to do. 
  • To determine whether it is worthwhile to invest in data science.

Course Outline

  • What is Big Data?
  • Why do we need Big Data?
  • What are the 3 V’s?
  • The cost of not using Big Data
  • Big Data Applications

Target Participants

All individuals who are interested in learning more about big data applications.

Certificate Requirements

  • Completion of recorded webinar + quiz
  • Pass the 10 item multiple choice with 80% mark
  • Comment your feedback to the main page of the course


Albert Anthony D. Gavino, MBA

Senior Manager with 20 years experience. From web development to data science, I keep on learning and leading new teams. Doing research and doing data science work for projects like Weather to working with Health related data such as Carcinogens. I like working for projects on Social Good and projects that can improve quality of life. I work with the industry's best minds from Research & Development teams to the brightest Developers who like to work on out of the box projects and deliver it as a Minimum Viable Product. From time to time, I teach data science and project management since I also have an MBA background and work with communities such as the R Users Group Philippines. I also appeared as TV guest in TV5 and Global News Network. Google Play Book: a Random Walk by Albert Gavino, Random stories from a Data Scientist (March 2020) Co-founder for Data Engine Training and Consultancy (DETC) Philippines (November 2019)

Student Feedback


Course Rating


9 Reviews on “Big Data Applications

  1. Machine learning initiatives, predictive modeling, and other advanced analytics can all benefit from big data, which includes structured, semi-structured, and unstructured data. Thank you po for presenting this informative webinar !!!

  2. Thank You Ask Lex PH Academy and of course a big round of applause to sir Albert for the great discussion. This is by far the most interesting discussion about “DATA”. I’ve certainly learned a lot from the thorough selection of where to apply data science and some real insight on where and what are the data used for and how they are extracted. This is honestly very helpful and a mind opener.

    Again, Thank You and God Bless! 😀
    Stay Safe!

  3. Thank you for this free webinar Ask Lex Ph Academy and for the information shared by the speaker about Big Data Applications. I’ve learned a lot about the topic particularly the 3Vs. It is actually timely and relevant in this time of pandemic because most of the people are doing everything remotely.

  4. Indeed a very interesting topic. The speaker is very informative and knows his topic well. Thank you Asklex ph for giving us a chance to listen and learn from your free webinars.

  5. As an industrial engineer in the making, I know that an overview of big data applications can really help me in school and future career. The detailed knowledge instilled by the speaker explained how important big data is, especially in this modern day of technology.

  6. Honestly, I don’t have enough idea on what Big Data Applications is since I’m still a student in the BSIE, but this course gave me a specific and at the same time a good overview on what really Big data Applications. The speaker is also great upon discussing the course. Thank you so much ASK LEX PH Academy!

  7. This is definitely another timely webinar for aspiring data analytics and scientists in different industries. The part that mostly caught my attention was the discussion about the 3Vs which I honestly heard for the first time.