Microsoft Data Analytics From Basics to Business Insights

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Microsoft Data Analytics: From Basics to Business Insights
Published 12/2024
Created by Bluelime Learning Solutions
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 110 Lectures ( 8h 48m ) | Size: 3 GB
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Unlock the Power of Power BI, SQL, and DAX to Build Stunning Reports, Dashboards, and Data Models

What you'll learn
Understand the core concepts of Microsoft Data Analytics and its applications in various industries.
Connect to various data sources, including relational databases, NoSQL databases, online services, and APIs.
Transform and clean raw data using Power Query Editor to prepare it for analysis.
Create calculated columns, measures, and tables using DAX (Data Analysis Expressions).
Apply Time Intelligence functions in Power BI to perform Year-to-Date (YTD), Month-to-Date
Design interactive and visually compelling Power BI reports using a variety of visualization tools.
Configure row-level security (RLS) to restrict data access for specific users.
Publish and share Power BI reports and dashboards on Power BI Service.
Schedule and manage data refreshes for live and imported datasets.
Build data models with optimized relationships between tables for better performance.
Create paginated reports using Power BI Report Builder for static and printable insights.
Design Power BI dashboards with interactive KPIs, slicers, and filters for business monitoring.
Troubleshoot and fix data import errors and connectivity issues in Power BI.
Optimize data models and visuals for improved performance and scalability.
Use SQL Server to query relational databases and integrate results into Power BI.
Handle complex datasets by understanding storage modes (Import, DirectQuery, and Dual Mode).
Create custom DAX measures for calculating advanced metrics and KPIs.
Analyze business metrics and trends using key influencers, decomposition trees, and other AI-powered tools.
Develop a comprehensive sales monitoring dashboard to track business performance.

Requirements
Access to a Computer with internet connection
A Free or premium Microsoft account for accessing Microsoft 365 and Power BI Service features.
Familiarity with Basic Computer Skills
Basic Understanding of Spreadsheets
Interest in Data Analysis
No Programming Experience Required

Description
In a world driven by data, the ability to transform raw information into actionable insights is a skill that sets professionals apart. Mastering Microsoft Data Analytics is a comprehensive course designed to equip learners with the tools, techniques, and confidence to thrive in data-driven environments. Whether you're new to data analytics or looking to sharpen your skills, this course provides everything you need to harness the power of Microsoft's cutting-edge analytics tools.This course takes a hands-on approach to teaching the essentials of Microsoft Data Analytics, starting from foundational concepts and advancing to complex techniques. You'll begin by understanding the key responsibilities of a data analyst and the significance of data in modern business decision-making. From there, you'll dive into Power BI, the flagship data visualization and reporting tool, learning how to create dynamic and interactive dashboards that communicate data insights effectively.The course also focuses on data preparation and transformation using Power Query Editor, ensuring that you can clean and structure raw data for analysis. You'll explore a variety of data sources, including files (Excel, CSV), relational databases (SQL Server, PostgreSQL), NoSQL databases (MongoDB, Cosmos DB), cloud services (Azure, Google Analytics), and even APIs. These practical lessons ensure that you can connect to, manipulate, and integrate data from almost any source, making you an indispensable asset in any analytics role.One of the highlights of this course is the introduction to DAX (Data Analysis Expressions), a powerful formula language in Power BI that allows you to create advanced calculations and measures. You'll master time intelligence, filters, and other DAX functions, enabling you to analyze trends, forecast outcomes, and create performance metrics like Year-to-Date (YTD) and Year-over-Year (YoY) growth.As data volume and complexity increase, performance optimization becomes critical. This course teaches you how to create efficient data models, configure relationships, and choose the appropriate storage modes (Import, DirectQuery, or Dual Mode) to balance speed and scalability. You'll also learn to handle data import errors, optimize visualizations, and secure your reports with Row-Level Security (RLS), ensuring data integrity and confidentiality.Beyond Power BI, the course introduces the broader Microsoft ecosystem, including SQL Server for querying and managing databases, Microsoft 365 for collaboration, and Azure Analysis Services for advanced data modeling in the cloud. These integrations demonstrate how Microsoft's tools work together to create a seamless analytics workflow, from raw data ingestion to actionable reporting.The course also prepares you for advanced scenarios, such as building paginated reports for printable insights, integrating AI-powered tools like Key Influencers and Decomposition Trees, and analyzing real-time data streams. By the end, you'll know how to design comprehensive solutions that combine data visualization, analytics, and collaboration tools to meet diverse business needs.This course doesn't just teach theory-it ensures practical, real-world application. You'll work on projects like building a sales monitoring dashboard and preparing data for supply chain analysis, ensuring you leave with a portfolio of work to showcase your skills. For those pursuing certification, the course aligns closely with the Microsoft Power BI Data Analyst exam objectives, providing a strong foundation to earn this industry-recognized credential.What You'll Gain:Confidence in using Power BI to create visually compelling and interactive reports.The ability to connect to and analyze data from various sources, including SQL databases, NoSQL platforms, and online services.Proficiency in DAX for custom calculations and time-based analysis.Skills to build efficient data models and optimize performance for large datasets.Knowledge of Microsoft 365 and Azure integrations for enhanced collaboration and scalability.A practical understanding of data security through Row-Level Security (RLS).Hands-on experience with real-world projects that reflect industry scenarios.Who This Course Is For:Aspiring Data Analysts looking to start their career in analytics.Business Professionals who want to make data-driven decisions.IT and Database Professionals expanding their analytics capabilities.Power Users of Excel, SharePoint, or Microsoft 365 tools seeking to upskill.Anyone preparing for the Power BI Data Analyst certification.Why Enroll?With its intuitive teaching style, real-world projects, and alignment with industry needs, this course is your gateway to becoming a data-driven professional. By mastering Microsoft Data Analytics, you'll unlock career opportunities, improve business outcomes, and contribute meaningfully to your organization's success.Take the first step toward mastering data and transforming insights into action-enroll today and begin your journey with Mastering Microsoft Data Analytics!

Who this course is for
Aspiring Data Analysts
Business Professionals
Data Enthusiasts and Career Switchers
IT and Database Professionals
Students Preparing for Certifications
Small Business Owners and Entrepreneurs
Power Users of Microsoft Tools

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