Analytics for Enterprises (Synchronous e-learning)
Training Provider: Ngee Ann Polytechnic
Course Reference: TGS-2020504305
S$129
Original: S$430
Save S$301
About This Course
This 2-day programme provides a hands-on overview on Analytics that demonstrates how companies and managers use data-driven analysis and prediction as part of their decision-making process, leading to better business outcomes.
Participants will be able to manage and create data visualization for data exploration and analysis.
This program will be conducted through “learn by doing”. After short discussions, participants will be presented with an opportunity to try what they learnt using appropriate software tools.
What You'll Learn
Section 1: Introduction to Analytics
• Evolution of Analytics
• Descriptive, Predictive, Prescriptive Analytics
• Analytics and its impact on Enterprises and businesses
Section 2: Cleaning & Preparing Data
• Data Analytics
• Basics of Data
• Cleaning Data
• Joining Tables
Section 3: Introduction to Data Warehouse
• Traditional approach to reporting and its associated challenges
• Spreadsheet and its associated challenges
• Rise of new generation of analytics platform and the democratization of data
• Introduction to Data Warehousing and its relationship to Business Systems
Section 4: Star Schema and Multi-Dimensional Analysis
• Multi-Dimensional Cube
• Star Schema and its uses
• Slice and Dice
• Drill in and aggregation
• Pivot
• Creation of new measures
Section 5: Introduction to Machine Learning
• Machine Learning in Business
• Types of Machine Learning
• Supervised Learning vs Unsupervised Learning
• Evolution of Analytics
• Descriptive, Predictive, Prescriptive Analytics
• Analytics and its impact on Enterprises and businesses
Section 2: Cleaning & Preparing Data
• Data Analytics
• Basics of Data
• Cleaning Data
• Joining Tables
Section 3: Introduction to Data Warehouse
• Traditional approach to reporting and its associated challenges
• Spreadsheet and its associated challenges
• Rise of new generation of analytics platform and the democratization of data
• Introduction to Data Warehousing and its relationship to Business Systems
Section 4: Star Schema and Multi-Dimensional Analysis
• Multi-Dimensional Cube
• Star Schema and its uses
• Slice and Dice
• Drill in and aggregation
• Pivot
• Creation of new measures
Section 5: Introduction to Machine Learning
• Machine Learning in Business
• Types of Machine Learning
• Supervised Learning vs Unsupervised Learning
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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