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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.

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Data Analytics & Business Intelligence Tools

Course Overview:

The "Microsoft Power BI, Snowflake Cloud Data Warehousing, Apache Spark ML" is an intensive 3-day program that provides comprehensive training in these four 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.

Module outline

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:

Upon completing the Microsoft Power BI, Snowflake Cloud Data Warehousing, and Apache Spark ML course, participants will:

  • 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.
  • Please note that the provided course overview and objectives are general and introductory.
  • Specific details, modules, prerequisites, and outcomes may vary based on the course content and the organization offering the course.

Course Details

  • Training Fee:SG$ 2100
  • Duration: 3 Days
  • Effort: 8 hours per day
  • Subject: Data Science
  • Quizzes: Yes
  • Level: Advanced
  • Language: English
  • Certificate: Yes
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