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Power BI Data Analytics & Business Intelligence Course

person icon Amit Kumar

4.5

Power BI Data Analytics & Business Intelligence Course

Power BI Data Analytics, Data Science, Business Intelligence

updated on icon Updated on May, 2024

language icon Language - English

person icon Amit Kumar

English [CC]

category icon Data & Analytics,Business Intelligence & Analytics,Data Mining,Data Analysis,Business

Lectures -22

Duration -19.5 hours

4.5

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Course Description

Welcome to the Power BI Data Analytics & Business Intelligence Course! In today's data-driven world, the ability to effectively analyze and visualize data is a valuable skill that can drive better business decisions and empower organizations to gain a competitive edge. This comprehensive course is designed to equip you with the knowledge and skills necessary to harness the power of Power BI, a leading business intelligence tool, and unleash your potential as a data analyst or business intelligence professional.

Throughout this course, you will embark on a step-by-step learning journey that covers the core concepts, techniques, and best practices for leveraging Power BI to transform raw data into actionable insights. Whether you're a beginner or an experienced professional, this course caters to learners of all levels and provides a solid foundation in Power BI.

Here's what you'll learn:

  • Introduction to Power BI: Get introduced to Power BI and understand its features, components, and capabilities. Explore the Power BI ecosystem and learn how to navigate the Power BI interface.
  • Data Preparation: Learn how to prepare and shape your data for analysis in Power BI. Discover various data transformation techniques, including data cleaning, filtering, merging, and more.
  • Data Modeling: Master the art of data modeling in Power BI. Understand the importance of creating relationships between tables, optimizing data models, and designing efficient data structures.
  • Data Visualization: Dive into the world of data visualization and learn how to create compelling visualizations using Power BI's rich set of tools and features. Discover best practices for designing effective dashboards and reports.
  • Advanced Analytics: Explore advanced analytics capabilities in Power BI, such as creating calculated measures, implementing advanced DAX (Data Analysis Expressions) formulas, and leveraging time intelligence functions.
  • Sharing and Collaboration: Learn how to share and collaborate on Power BI projects with stakeholders. Understand different sharing options, publish reports to the Power BI service, and collaborate with team members.
  • Power BI Desktop and Power BI Service: Gain expertise in both Power BI Desktop and Power BI Service. Understand the differences between the two and learn how to utilize their unique features for enhanced data analysis and reporting.
  • Data Refresh and Security: Learn how to refresh data in Power BI and ensure data security. Explore different data refresh options, schedule automatic refreshes, and implement security measures to protect sensitive information.
  • Integrations and Extensibility: Discover how Power BI integrates with other Microsoft tools and services. Learn about the Power BI ecosystem, custom visuals, and third-party integrations to extend the capabilities of Power BI.
  • Real-world Projects and Case Studies: Apply your knowledge and skills to real-world projects and case studies. Gain hands-on experience in building end-to-end Power BI solutions and solving practical business problems.

By the end of this course, you will have the expertise to confidently utilize Power BI for data analytics and business intelligence purposes. Whether you're an aspiring data analyst, a business intelligence professional, or a manager seeking to make data-driven decisions, this course will empower you with the tools and knowledge to succeed. Enroll now and unlock the power of Power BI!

Goals

What will you learn in this course:

  • Gain a comprehensive understanding of Power BI and its capabilities as a business intelligence tool.
  • Learn how to effectively prepare and shape data for analysis in Power BI.
  • Master the art of data modeling and creating relationships between tables in Power BI.
  • Acquire the skills to design compelling visualizations and dashboards using Power BI's tools and features.
  • Explore advanced analytics capabilities in Power BI, including calculated measures and advanced DAX formulas.
  • Understand the sharing and collaboration features of Power BI to effectively work with stakeholders and team members.
  • Develop proficiency in both Power BI Desktop and Power BI Service and understand their unique features.
  • Learn how to refresh data in Power BI and implement security measures to protect sensitive information.
  • Discover the integrations and extensibility options available with Power BI, including custom visuals and third-party integrations.
  • Apply knowledge and skills to real-world projects and case studies to solve practical business problems using Power BI.

By the end of the course, students will have achieved a strong foundation in Power BI, enabling them to analyze data effectively, create meaningful visualizations, and make data-driven decisions to benefit their organizations.

Prerequisites

What are the prerequisites for this course?

  • Basic Knowledge on SQL

  • Basic knowledge on Data Warehousing

  • Basic knowledge on OOPs concept

Power BI Data Analytics & Business Intelligence Course

Curriculum

Check out the detailed breakdown of what’s inside the course

Power BI Advance Analytics Course
22 Lectures
  • play icon Introduction to Power BI, Workflow, Power BI Desktop, ETL Process 01:00:37 01:00:37
  • play icon Connecting & shaping Data, Power-Query Editor 01:02:33 01:02:33
  • play icon Power Query, Grouping Aggregating Data, Conditional Columns, Custom Column, Datatype, merge, split, replace 01:03:08 01:03:08
  • play icon Defining Hierarchies, Creating Relationship, Managing Editing & Relationship 01:00:19 01:00:19
  • play icon Power BI DAX, Date Functions, String Functions 01:01:59 01:01:59
  • play icon If Else, Nested If, If Error, And, Or, Sum, Max, Avg, Count, Min, Count, Distinct Count, Calculate, Filter, All 01:01:59 01:01:59
  • play icon SumX, Time Intelligent fun, Reports Interface, Page Setting, KPI, Card, Image, Pie Chart, Donut chart 01:02:08 01:02:08
  • play icon Bar graph, Stack bar graph, Clustered bar graph, 100 percent clustered, slicer, line chart 01:03:06 01:03:06
  • play icon Area, Stacked Area, Stacked bar & Line, Clustered bar & line, Ribbon, Waterfall and Funnel chart 01:00:28 01:00:28
  • play icon Scatter Plot, Tree map, Symbol map, filled map, gauge chart, multi row card 01:00:58 01:00:58
  • play icon Table box, Matrix, if else cond, calculated column, conditional formatting, parameter 01:00:30 01:00:30
  • play icon Tree Map chart, Bookmark, Drill through, Managing Viewing, Desktop vs Phone View, Market Place 01:01:37 01:01:37
  • play icon Drilldown chart with Hierarchy, Objects of market place, DAX functions, Text fun, Information fun, time intelligent fun. 01:03:00 01:03:00
  • play icon Power BI Landing Page, Server Overview, Power BI Service 01:01:26 01:01:26
  • play icon Data Connection, Setting A Personal Gateway, Creating user and Authentication, Schedule Refresh, Subscription 01:00:24 01:00:24
  • play icon Introduction to using Excel data in Power BI, Exploring live connections, SQL Server Analysis Services 25:58 25:58
  • play icon Reading vs Editing, Power BI Development API, Import Power View and Power Pivot to Power BI, Power BI Publisher 35:27 35:27
  • play icon Row Level Security, Pin to Dashboard, Pining tiles to Dashboard 26:59 26:59
  • play icon Power BI-Comparison between Power BI and Tableau 31:12 31:12
  • play icon R Integration in Power BI Desktop, R visuals in Power BI, R Powered Custom Visuals 29:51 29:51
  • play icon Requirement analysis and Assignment Project Development 50:55 50:55
  • play icon Assignment Project development, discussion on Interview Questions and Answers 01:00:25 01:00:25

Instructor Details

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Amit Kumar

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