Data Analytics & Business Intelligence Tools
Learn how to collect, analyze, and interpret data to inform business decisions and improve organizational performance, using a range of analytics and business intelligence tools.

Course Fee
S$2100
Up to 70% funding available
Course Information
Course Overview
The Microsoft Power BI, Snowflake Cloud Data Warehousing, Apache Spark ML course is an intensive 3-day program that provides comprehensive training in these crucial areas of modern data management and analysis. This course is designed to equip participants with the knowledge and skills necessary to harness the power of Microsoft Power BI for data visualization, understand Snowflake's cloud data warehousing capabilities, leverage cloud data warehousing solutions, and apply Apache Spark ML for machine learning.
Course Objectives
- Gain proficiency in Microsoft Power BI for data visualization and analysis.
- Understand Snowflake's cloud data warehousing architecture and capabilities.
- Explore the advantages of cloud data warehousing solutions.
- Learn to leverage Apache Spark ML for machine learning applications.
- Apply these technologies to real-world data management and analysis scenarios.
- Enhance your ability to make data-driven decisions.
Prerequisites
- Participants should have a basic understanding of data management and analysis concepts, as well as experience with data-related tools and technologies.
Course Outlines
Day 1: Microsoft Power BI and Data Visualization
Module 1: Introduction to Microsoft Power BI
- Understanding Power BI's role in data analytics.
- Key features and components.
Module 2: Data Sources and Data Loading
- Connecting to various data sources.
- Transforming and cleaning data.
Module 3: Data Modeling and Relationships
- Creating data models.
- Establishing relationships between data tables.
Module 4: Data Visualization with Power BI
- Building interactive reports and dashboards.
- Applying visualizations and customizations.
Day 2: Snowflake and Cloud Data Warehousing
Module 5: Introduction to Snowflake
- Understanding Snowflake's architecture.
- Advantages of a cloud data warehousing solution.
Module 6: Working with Snowflake
- Data loading and unloading in Snowflake.
- Managing storage and computing resources.
Module 7: Querying Data in Snowflake
- Writing SQL queries in Snowflake.
- Optimizing query performance.
Day 3: Apache Spark ML for Machine Learning
Module 8: Introduction to Apache Spark ML
- Overview of Apache Spark and its machine learning libraries.
- Benefits of using Spark ML for machine learning.
Module 9: Building Machine Learning Models with Spark ML
- Data preparation and feature engineering.
- Building and training machine learning models.
Module 10: Course Conclusion and Final Assessment
- Review of key concepts from the course.
- Assessment to evaluate understanding.
Course Outcomes
- Be proficient in using Microsoft Power BI for data visualization and analysis.
- Understand the architecture and capabilities of Snowflake's cloud data warehousing solution.
- Recognize the benefits of cloud data warehousing and its role in modern data management.
- Gain practical knowledge of using Apache Spark ML for machine learning applications.
- Apply these skills to real-world data management and analysis scenarios.
- Enhance their decision-making abilities with data-driven insights.
- Note: Course details and outcomes may vary based on the organization offering the course.
What You'll Learn
Course Fee & IBF Subsidies
| Category | Individual | Company |
|---|---|---|
| Full Course Fee (For Foreigners & non-eligible) | S$2100 | S$2100 |
| 50% IBF Funding (SC aged ≤39 / All PRs) | S$1050.00 | S$1050.00 |
| 70% IBF Funding (SC aged ≥40) | S$630.00 | S$630.00 |
By enrolling in this course, you agree to our terms and conditions.
Facilities & Equipment
Virtual Training
- Electronic materials
- IT support for software & hardware
- Administrative support
Face-to-Face Training
- Air-conditioned classroom
- Meals & refreshments provided
- Projector & smart board
- Stationery provided
