Power Bi Mastery For Sale'S Managers : From Beginner To Pro

Power BI Course For Sales Managers for creating Sales, Revenue, KPI's Reports and Dashboards without coding

What you'll learn

Master data visualization: Learn how to create visually stunning charts, graphs, and other visualizations to effectively communicate insights from your data.

Build interactive dashboards: Gain the skills to design interactive dashboards that allow users to explore data and uncover trends and patterns on their own.

Understand data modeling: Explore techniques for structuring and organizing data within Power BI to create reliable and efficient data models.

Share insights effectively: Learn how to share your Power BI reports and dashboards with stakeholders, collaborate with team members

Requirements

Our Power BI course with zero code is designed to be accessible to learners of all backgrounds and experience levels. As such, there are no specific requirements or prerequisites for taking the course. Whether you're a complete beginner or have some experience with data analysis, our course is tailored to accommodate learners at every stage of their journey. However, having a basic understanding of Microsoft Excel or other spreadsheet software can be helpful, as many concepts and functions in Power BI are similar. Additionally, a curiosity and eagerness to learn about data visualization and analytics are all that's needed to dive into the course content. We believe in lowering barriers to entry and providing a welcoming environment for all learners, regardless of their background or prior experience. So come join us and embark on your journey to mastering Power BI with zero code!

No coding or No Prior Knowledgw Needed

Description

MASTER BUSINESS INTELLIGENCE USING MICROSOFT POWER BI TO BUILD MIND BLOWING ARTIFICIALLY INTELLIGENT DASHBOARDS FOR SALES Create sales, revenue, expenses reports, and realistic forecasts for your management team using Power BI Gather Data: Collect data from various sources including sales records, financial statements, and expense reports. Ensure that the data is clean and properly formatted.Import Data into Power BI: Open Power BI Desktop and import the data into the software. Power BI supports a wide range of data sources including Excel, CSV, databases, and online services.Transform Data: Use Power Query Editor to clean and transform the data as needed. This may involve removing duplicates, handling missing values, and creating calculated columns or measures.Create Reports: Design reports to showcase sales, revenue, expenses, and forecasts. Use visuals such as line charts, bar charts, and tables to present the data effectively. Arrange the visuals on a canvas to create a dashboard layout.Add Interactivity: Enhance the reports by adding interactivity features such as slicers, filters, and drill-through options. This allows users to dynamically explore the data and gain deeper insights.Calculate Key Metrics: Calculate important KPIs (Key Performance Indicators) such as profit margins, customer acquisition cost, and sales growth rate. Display these metrics prominently on the dashboard.Create Forecasts: Utilize Power BI's forecasting capabilities to generate realistic forecasts based on historical data. Adjust the forecasting parameters as needed to improve accuracy.Review and Iterate: Review the reports with the management team to ensure they meet their requirements. Make any necessary adjustments based on feedback.Publish and Share: Once the reports are finalized, publish them to the Power BI service. Share the reports with the management team and other stakeholders, granting appropriate access permissions.Monitor Performance: Continuously monitor the performance of the reports and update them as new data becomes available. Use Power BI's usage analytics to track user engagement and identify areas for improvement.

Overview

Section 1: Level 1

Lecture 1 Introduction

Lecture 2 Installation of Power BI & Loading Data

Lecture 3 Understanding Dataset

Lecture 4 Report View and Tables

Section 2: Level 2

Lecture 5 Introduction

Lecture 6 Tables, Visual Formattting

Lecture 7 Metrix & Metrix Formatting

Lecture 8 Activity

Lecture 9 Methods of Aggregation

Lecture 10 Activity

Lecture 11 Cards, Row Cards & Formatting

Lecture 12 Activity

Lecture 13 Percentage in Power BI

Lecture 14 Date in Power BI & Date Formatting

Lecture 15 Card , Row Card & Slicer

Lecture 16 Filters In Power BI

Lecture 17 Drill Through Functionality

Lecture 18 Activity

Lecture 19 Filter For All Pages

Section 3: Level 3

Lecture 20 Introduction

Lecture 21 Different Type of Bar Chart , Column Chart

Lecture 22 Cluster Cloumn Chart & More

Lecture 23 Activity

Lecture 24 Turn Off Filter,Focus Mode, Tool Tips & More

Lecture 25 Further More Analysis

Lecture 26 Line Charts with Date Time

Lecture 27 Line Charts with Date Time

Lecture 28 Ribbon Chart

Lecture 29 Pie Chart , Tree Map , Geographical Map

Lecture 30 Scatter Plot & More

Lecture 31 Decomposition Tree & More

Lecture 32 Activity

Lecture 33 Publish Report & Share Reports with Others

Section 4: Level 4

Lecture 34 Introduction

Lecture 35 Create Dashboard, Alerts, Share & More

Lecture 36 Mobile Report & More

Lecture 37 Q & A Option in Power BI

Lecture 38 Workspace & Publish Reports

Lecture 39 Publishing App in Power BI

Lecture 40 Customize Report in Power BI

Section 5: Level 5

Lecture 41 Introduction

Lecture 42 DAX Operations

Lecture 43 DAX for Working With Date

Lecture 44 Format Function in DAX

Lecture 45 Importing Master Date File & Creating Realationship

Lecture 46 New Measure In Power BI

Lecture 47 Calculate Function in Power BI

Section 6: Level 6

Lecture 48 Introduction

Lecture 49 Relationship & More

Lecture 50 What If There is No Relationship

Section 7: Level 7

Lecture 51 Introduction

Lecture 52 Power Query , Data Manipuation & Transformation

Lecture 53 Add Column Using Power Query

Lecture 54 More About Power Query

Lecture 55 Publish Metrix on BI Service & Work with Excel

Section 8: Case Study

Lecture 56 AX Corporation Problem Case

Lecture 57 AX Corporation Requirements

Lecture 58 Load Data into Power BI & Dataset Understanding

Lecture 59 Solution for AX Corporation - Part 1

Lecture 60 Solution for AX Corporation - Part 2

Business professionals: Executives, managers, and professionals from various industries who want to leverage data to make informed decisions and drive business growth. Aspiring data analysts: Individuals who are interested in pursuing a career in data analysis but have limited or no programming experience. Entrepreneurs and startup founders: Those looking to gain insights from their business data to optimize operations, improve efficiency, and drive success. Students and recent graduates: Students studying business, economics, statistics, or related fields who want to enhance their analytical skills and make themselves more competitive in the job market. Anyone curious about data analytics: Individuals with a general interest in data analytics who want to learn how to visualize and analyze data without getting bogged down in programming languages.