We can host this training at your preferred location. Contact us!

An introduction to Data Science and the mathematical models underpinning Big Data Technologies, including a deep introduction to working with a range of big data tools.

This 3-day course is designed for people evaluating what NoSQL technologies and solutions they should start using in their organisation. It is the first step in a professional Data Science journey.

On this course you're going to learn about different ways of modelling data. You are going to learn the difference between SQL and NoSQL solutions. You're going to understand the most common NoSQL solutions, including Hadoop, and how you can develop, code and programme using them.

Target Audience

For existing python developers and data analysts looking to up-skill into big data.

Prior experience with Python is required
Experience working with data

At the end of this course attendees will know:

The Fundamentals of Data Science
The different data models
What is a NoSQL database
The different types of NoSQL databases
What is Hadoop
What is Spark

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

Speak the language of Data Scientist
Use Python's native data bases
Query NoSQL databases using Python APIs
Perform big data analysis using Hadoop and Spark

Introduction to Data Science
- Roles, Skills, Methods
- Asking and Answering Insight Questions
- Science in Business
Python for Data Science
Data Analytics & Statistical Inference
Big Data with Neo4j
Big Data with Hadoop
Big Data with Spark
Big Data with Mongo
Analytics Case Study

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

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

22 January 2025