Practical Big Data Analysis Training in Republic of the Philippines

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 5 Days
  • Level: Intermediate
  • Price: From €6,935+VAT
We can host this training at your preferred location. Contact us!

An introduction to Python, Data Science and Big Data, plus a deep introduction to the major Big Data technologies for the practitioners working with them.

This 5-day course is ideal for people who are currently working as software engineers with data, or in business intelligence, looking for a level-up to the next stage of large data analysis skills and contemporary patterns of Data Science.

You will learn how to work and model large sets of data and understand the statistical mathematical models behind it. You'll also work with SQL and NoSQL trends and understand how to create an effective hypothesis-approach way of working with data and discerning really measurable statistical outcomes.

Target Audience

Practitioners of data analysis and fledging data scientists who wish to leverage Big Data technologies such as NoSQL databases, Hadoop and Spark.

  • Basic knowledge of data base architecture and SQL
  • Basic knowledge in programming: variables, flow and scope and functions
  • Prior experience of working with data
  • Experience with Python or other scripting languages such as Perl will be an advantage

At the end of this course attendees will know:

  • Fundamentals of Data Science
  • Fundamentals of Machine Learning
  • Fundamentals of Python programming
  • Python's data and numerical packages
  • How to visualise data using Python
  • Different data models
  • What is a NoSQL database, how is it different from a (traditional) Relational Database
  • What is Hadoop
  • What is Spark

At the end of this course attendees will be able to:

  • Write Python programs to manipulate data
  • Use Python to visualise data
  • Query graph databases Neo4j
  • Query column store database Cassandra
  • Query document based database MongoDB
  • Use Hadoop and Spark
  • Use Python Machine Learning libraries to perform predictive analysis

  • Introduction to Data Science
  • Data Mining and Machine Learning
  • Data Models
  • NoSQL
  • Introduction to Python
  • Python and Data
  • Python Databases and SQL
  • Data Science and Numerical Python
  • MongoDB
  • Neo4j and Graph Analytics
  • Functional Programming
  • Hadoop and Ecosystem
  • Spark MapReduce
  • Spark SQL
  • Python Machine Learning


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.

Classroom / Virtual Classroom
07 June 2024
Quezon City, Manila, Davao City
5 Days
Classroom / Virtual Classroom
10 June 2024
Quezon City, Manila, Davao City
€6,935 +VAT Book Now
Classroom / Virtual Classroom
08 June 2024
Quezon City, Manila, Davao City
5 Days
Classroom / Virtual Classroom
08 July 2024
Quezon City, Manila, Davao City
€6,935 +VAT Book Now
Classroom / Virtual Classroom
07 July 2024
Quezon City, Manila, Davao City
5 Days
Classroom / Virtual Classroom
12 July 2024
Quezon City, Manila, Davao City
5 Days
Classroom / Virtual Classroom
15 July 2024
Quezon City, Manila, Davao City
5 Days
Classroom / Virtual Classroom
15 July 2024
Quezon City, Manila, Davao City
5 Days

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Practical Big Data Analysis 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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