Hands On Training

Analytics: From Data to Insights

Emeritus

Course Features

Duration

5 months

Delivery Method

Online

Available on

Limited Access

Accessibility

Desktop, Laptop

Language

English

Subtitles

English

Level

Advanced

Effort

8 hours per week

Teaching Type

Instructor Paced

Course Description

The importance of data cannot be overstated when it comes to business success. Not only does data enable companies to understand the current state of the business and its many processes, but it also provides a solid foundation to identify opportunities and predict future outcomes. But collecting data isn't enough. It must be visualised, filtered and broken down into actionable insights by the right data tool for the job.

Analytics: From Data to Insights, an online programme offered by NUS School of Computing, is designed to give you the hands-on experience you need to master data analytics and make better business decisions. No prior coding experience required.

Highlights

Course Credibility

Top 20 Percentile

Hands on training

Top 20 Percentile

Parameters

Course Credibility

Delivered through Emeritus a renowned institution in the field, this course offers a comprehensive learning experience.

Hands on training

This course stands out as one of the top 20 percentile options in Data Analytics, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training and Capstone Projects / Industry-Simulation as well as essential Case Based Learning, this course is tailored to meet diverse educational needs.

Course Overview

Live Class

Human Interaction

Personlized Teaching

International Faculty

Case Based Learning

Post Course Interactions

Case Studies,Hands-On Training

Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Master critical processes, tools and concepts in data analytics

Apply appropriate SQL queries to retrieve information and answer real-world questions

Prepare data for creating data models and use analytical expressions to create calculations and measures

Employ analytical expressions to perform time-based analyses and visualise data

Create Decision Tree models to find patterns and make predictions from data

Develop interactive visualisation reports and dashboards

Target Students

The program is designed for analysts, engineers, professionals and managers with up to 15 years of experience

Both professionals with a tech or non-tech background can benefit from the programme

Course Content

Expand all sections

Module 1: Introduction to Analytics

Module 2: Database: Data Source

Module 3: Database: Data Queries

Module 4: Data Warehouse: Load and Transform Data

Course Instructors

AI XIN

PhD in Electrical and Computer Engineering

Dr Ai Xin is currently a Lecturer with the School of Computing at the National University of Singapore. She has over a decade of experience teaching Artificial Intelligence and Data Science courses s...