Complete Power Bi Diploma For Begginers Inc.(Pbi+Dax+M)

Complete Power BI Diploma For Begginers inc.(PBI+DAX+M)

What you'll learn

What Is Power BI,Busniss Intellegence and Data Analsis

How To Use Powerbi (Full Tools)

How To Get Data From data Sources (Inc.P6)

How To Use Visuals and Build Reports and Dashboard (inc maps,Power platforms)

How To Build Model and Connect Between Many Data Sets

How To Use Power Query Editor For Data Transformation

What is Dax ? and How To Use Dax Language?

Dax Function Usage

What Is M-Language ? and how to Use it ?

Many Practical Workshops

Power BI Best Practices.

Requirements

No Special Experiance Needed

Description

The Power-BI Course is Covering All details of Power BI Program including Dax Language and M-Language also As Next:Introduction for Business Intelligence(BI). How to use Power BI for Business Intelligence(BI).Difference Between Excel and Power BI.What is Data Analysis ConceptUsage of Power Bi in Engineering Fields.Power Bi Types & Contents (Licenses,View and Updates)Power BI Online ServiceHow to Get Data From Data Sources To Power Bi (including Primavera with Example)How To Build Data Model .how to manage Relationships and cross filter directions between datasetsLayouts of Powerbi UsageReport View UsageTable View UsageModel View UsageHow to Use Visuals to Build Reports (Full Details)Using Of images,Shapes and BookmarksUsing of Power Platforms (Automation,P,Reports,…)Using Of Power MapsBuilding DashboardsVisualization Advises for Better Reports  Power Query Editor Full DetailsHow To Transform DataInvoke Functions,ListsDax Language usageHow to Build Dax Language FormulasDax Language Functions (FULL 290 Functions with examples)Variables UsageM-Language Usageow to Build M-Language FormulasM-Language Functions (with examples)Dax Query Layout Full DetailsFull Workshops with Actual Projects Data (Updated)Q&A and Updated Chapter for any new UpdatesUpdated workshops Discussions.Power BI Best Practices.

Overview

Section 1: Introduction

Lecture 1 Intro

Lecture 2 Introduction

Section 2: Getting Data & Creating Reports

Lecture 3 Introduction To Power BI Outputs

Lecture 4 Quick Previow Of PowerBI Layouts

Lecture 5 Getting Data

Lecture 6 Intro to (Report/Table/Model/Dax/Transform)View

Lecture 7 General Visuals Options

Lecture 8 Intro To Visualisation

Lecture 9 Visuals (Stacked Bar/Column)

Lecture 10 Visulas(Clustered Bar/Column)

Lecture 11 Visulas(100% stacked column)

Lecture 12 Visulas(Line Chart)

Lecture 13 Visulas(Area&Stacked Area Chart)

Lecture 14 Visulas(Line & (Stacked ,Clustered) column chart)+Ribbon Chart

Lecture 15 Visulas(Waterfall Chart)

Lecture 16 Visulas(Funnel Chart)

Lecture 17 Visulas(Scatter Chart)

Lecture 18 Visulas(Pie&Donut Chart)

Lecture 19 Visulas(Treemap Chart)

Lecture 20 Visulas(Gauge Chart)

Lecture 21 Visulas(Card Family Charts)

Lecture 22 Visulas(KPI Chart)

Lecture 23 Visulas(Slicers Chart)

Lecture 24 Visulas(Table&Matrix Chart)

Lecture 25 Visulas(Key Influencers Chart)

Lecture 26 Visulas(Decomposition tree Chart)

Lecture 27 Visulas(Q&A)

Lecture 28 Visulas(Narrative Reports)

Lecture 29 Visulas(Metrics)

Lecture 30 Power Automate

Lecture 31 Power Apps Intro

Lecture 32 Elements

Lecture 33 Bookmarks

Lecture 34 Selection & Arrange

Lecture 35 Maps

Lecture 36 Conditional Formatting

Lecture 37 Performance Analyzer

Lecture 38 Visualisation Advices

Section 3: Data Modeling

Lecture 39 Intro To Data Modeling

Lecture 40 Model View Layout

Lecture 41 Manage Relationships & Proparties

Lecture 42 Cardinality & Cross Filter Direction Examples

Section 4: Transform Data

Lecture 43 Intro To Power Query Editor

Lecture 44 Applied Steps

Lecture 45 Queries Pan Setting

Lecture 46 Home Menue (Part-01-Query/Manage Columns/Reduce Rows/Sort/Transform)

Lecture 47 Home Menue (Part-02-Combine)

Lecture 48 Home Menue (Part-03-AI Insights)

Lecture 49 Transform Menu

Lecture 50 Add Column Menu

Lecture 51 View Menu

Lecture 52 Tools Menu

Section 5: DAX Language

Lecture 53 Introduction To DAX

Lecture 54 How To Write Dax Formulas

Lecture 55 Math Functions

Lecture 56 Text Functions

Lecture 57 Aggregation Functions

Lecture 58 Logical Functions

Lecture 59 Date/Time Functions

Section 6: M-Language

Lecture 60 Introduction

Section 7: Workshops

Lecture 61 Workshop-01-L01

Engineers,Data Analsis,Data Science