Themabewertung:
  • 0 Bewertung(en) - 0 im Durchschnitt
  • 1
  • 2
  • 3
  • 4
  • 5
DAX Data Analysis Expressions using Free Tools for Beginners
#1
[Bild: 9jes4wtser9lmlnx5fpfi6lki6.jpg]

DAX Data Analysis Expressions using Free Tools for Beginners
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 14.0 GB | Duration: 15 section | 209 lectures | (25h 2m)



What you'll learn
Learn fundamentals and basics to Intermediate level DAX analysis
Learn how Relationships and DAX work together
Learn Create calculated FIELDS and MEASURES using DAX in Power BI
Perform SOPHISTICATED calculations such as Time Intelligence, Filtered Data and Creating Calculated Tables
Create RELATIONSHIPS between tables of data
Learn how to use DAX to create a DATE table
Learn how to calculate Moving totals and Rolling Totals
Learn how to use "Disconnected" tables to maximize Insights
Learn how to install SQL server and download Microsoft Data Warehouse and restore it on SQL Server
Learn Data and time functions to find yearly, quarterly and monthly trends in your data
Learn Dax Filter Functions to analyse data for specific products, customer and regions
Learn Dax Information functions to convert data types and find specific errors in your data
Learn Logical functions to combine data for specific conditions
Learn Path functions to build HIERARCHIES and get to specific level of HIERARCHIES
Learn Static and Dynamic Row Level Security to have anyone look at their specific data (Managers can see their own regions sales or Manager can you see their own employees data)
Learn to install PBI Desktop and get data from SQL Server
Get the total understanding of the basic DAX Aggregator and Iterator Functions
Gain confidence building measures with multiple functions - advancing your DAX KNOWLEDGE
Learn how to catalogue your data model functions in Power BI
Learn how to create powerful calculations and comparisons across multiples tables of data.
Learn how to create advanced DAX measures and calculated columns for complex calculations.
This hands on course will prepare you to start your data analytics career.
Learn to use the easiest Business Intelligence tool to create reports and dashboards.
Learn Dashboard-in-a-day at your own pace at home or at your office.
Learn Power BI Best Practices, Tip and Tricks

Requirements
This course is designed for PC users (PowerBI is not available for Mac)
You should be familiar with either Power Pivot, Power BI or Analysis Services
Willingness to learn DAX (Data Analysis Expressions)

Description
**** Life time access to course materials. 100% money back guarantee ****

Companies are gathering more and more data every day. Skills in data analysis, Business Intelligence / Business Analytics are highly in demand in today's job market. In this course, you will learn how to use DAX to Analyze, find Patterns and Trend in your Data using Power BI. Once learned can also be used in Excel and SQL Server Analysis Services.

In this course together, we will go over business scenarios where you will learn, how to use advanced / complex DAX calculations further to derive more insights from data. We are using SQL Server Adventure Works Data warehouse as a sample database. We will hold your hand and walk you thru each scenario Step-by-step.

Not only you will learn Power BI Best Practices, Tip, Tricks and Case Studies that you will not find in ANY other course but also learn Microsoft's Popular Course DASHBOARD-IN-A-DAY at your own pace at home or at your office AS A BONUS. All of the exercises are designed by keeping the practical aspects of DAX in mind. All exercises are 100% handson.

24+ hours of HD videos of building Business Scenarios using DAX from scratch to finish. Files for Start and Finished projects also included to challenge you so you can learn by immediately applying what you are learning. You will have gained the knowledge and confidence to apply these same concepts to real-word to solve the Business problems or Business requirements.

By the time you complete this course, you will be a highly proficient in DAX. You will be fully prepared to collect, clean, model and present data for any purpose. You will be using your skills as a Business Intelligence Professional to extract knowledge from data so you can analyze and visualize complex Business Problems/Requirements with ease.

Why should you consider a career as a Business Data Analyst?

Salary. A Business Data Analyst is a well-paid career

Stable Career. As most corporations gathering more and more data. There will never be shortage of Jobs for Business Data Analyst.

Advancement in Career: Since you will be building different reports for different departments. You will never be bored and always be valued. Which will bring you more opportunities in your career. Business Data Analyst get very visibility in corporations. Whole management depends on them.

#microsoft #powerbi #data #business #intelligence #analysis #DAX

Section1 : Introduction

Thank you and How to get support

Section2 : Install Power BI and SQL Server

How to install Power BI Desktop

How to use the Start and Finish Files

SQL Server Installation

Connecting to Database using SSMS

Download and install sample databases

Import data from SQL Server

Section3 : Dax Basics

Dax Model Components

What is Dax

Dax Data Types

Dax Operators and Syntax

M vs Dax

Create a Column

Rules to Create Measures

Calculated Columns vs Calculated Measures

Section4 : DAX Date and Time Functions

CALENDAR Function

CALENDARAUTO Function

DATE Function

DATEDIFF Function

DATEVALUE Function

DAY Function

EDATE Function

EOMONTH Function

HOUR Function

MINUTE Function

SECOND Function

MONTH Function

NOW Function

TIME Function

TIMEVALUE Function

TODAY Function

WEEKDAY Function

WEEKNUM Function

YEAR Function

Section5 : DAX Filter Functions

CALCULATE Function - 0

CALCULATE Function - 1

ALL Function

ALLSELECTED Function

AllEXCEPT Function

CALCULATETABLE Function

CROSSFILTER Function

DISTINCT Function

DISTINCTCOUNT Function

FILTER Function

HASONEFILTER Function

HASONEVALUE Filter

ISFILTERED Function

ISCROSSFILTERED Function

KEEPFILTER Function

RELATED Function

RELATEDTABLE Function

REMOVEFILTERS Function

SELECTEDVALUE Function

USERELATIONSHIP Function

VALUES Function

Section6 : DAX Information Functions

CONTAINS Function

IN Function

CONTAINSROW Function

BLANK and ISBLANK Function

ISERROR Function

ISEVEN Function

ISINSCOPE Function

ISLOGICAL Function

ISNONTEXT Function

ISNUMBER Function

ISODD Function

ISTEXT Function

LOOKUPVALUE Function

USERNAME Function

Section7: DAX Logical Functions

AND Function

TRUE and FALSE Functions

IF Function

IFERROR Function

IN Function

NOT Function

OR Function

Section8 : DAX Text Functions

BLANK Function

COMBINEVALUES Function

CONCATENATE Function

CONCATENATEX Function

EXACT Function

FIND Function

FIXED Function

FORMAT Function

LEFT RIGHT Functions

LEN Function

LOWER Function

MID Function

REPLACE Function

REPT Function

SEARCH Function

SUBSITUTE Function

TRIM Function

UNICHAR Function

UPPER Function

Section9 : Dax Path Functions and Row Level Security

PATH Function

PATHCONTAINS Function

PATHITEM Function

PATHITEMREVERSE Function

PATHLENGTH Function

RLS - Static Row Level Security

RLS - Dynamic Row Level Security

RLS - Organizational Hierarchy 1

RLS - Organizational Hierarchy 2

RLS - Organizational Hierarchy 3

Section10 : Math Trig and Stat Functions

Some Examples:

DIVIDE

Performs division and returns alternate result or BLANK () on division by 0

SUM

Adds all the numbers in a column.

SUMX

Returns the sum of an expression evaluated for each row in a table.

Function Description

AVERAGE

Returns the average (arithmetic mean) of all the numbers in a column.

AVERAGEX

Calculates the average (arithmetic mean) of a set of expressions evaluated over a table.

COUNT

The COUNT function counts the number of cells in a column that contain numbers.

COUNTROWS

The COUNTROWS function counts the number of rows in the specified table, or in a table defined by an expression.

MAX

Returns the largest numeric value in a column, or between two scalar expressions.

MAXX

Evaluates an expression for each row of a table and returns the largest numeric value.

MIN

Returns the smallest numeric value in a column, or between two scalar expressions.

MINX

Returns the smallest numeric value that results from evaluating an expression for each row of a table.

RANKX

Returns the ranking of a number in a list of numbers for each row in the table argument.

Section11 : DAX Time-Intelligence Functions

CLOSINGBALANCEMONTH-QUARTER-YEAR Function

DATEADD Function

DATESBETWEEN Function

DATESINPERIOD Function

DATEMTD-QTD-YTD Function

ENDOFMONTH-QUARTER-YEAR Function

FIRSTDATE - LASTDATE Functions

FIRSTNONBLANK - LASTNONBLANK Function

NEXTDAY-QUARTER-MONTH-YEAR Function

OPENINGBALANCEMONTH-QUARTER-YEAR Function

PREVIOUSDAY-MONTH-QUARTER-MONTH Function

PARALLELPERIOD Function

SAMEPERIODLASTYEAR Function

TOTALMTD-QTD-YTD Function

Section12 : Advanced Time-Intelligence Scenarios

Create Date Table in DAX-0

Create Date Table in DAX-1

Create Date Table in M (important)

How to use PREVIOU Function

How to use SAMEPERIODLASTYEAR()

How to calculate Cumulative or Running totals TOTALXXX() Functions

How to use DATEADD() Function

How to add column DateLastPurchase in Customer Table 4.34

How to calculate Days to Ship and Delivery Status

How to calculate Spring-Summer-Autumn-Winter Sales for 2012

How to Calculate Customer Age and use it in charts and graphs

How to calculate Days till last purchase

How to calculate MOM values

How to calculate Previous Week Sales

How to calculate Running Total 1

How to calculate Running Total 2

How to calculate sales for last N days

How to calculate Weekend - Weekday sales 1

How to calculate Weekend - Weekday sales 2

How to calculate YOY Growth

How to calculate YTD with Different Fiscal Year

How to Calculate Thanksgiving-BlackFriday-CyberMonday 2 weeks sales

How to compare Quarter over Quarter 1

How to compare Quarter over Quarter 2

How to compare YearQuarterMonth better way

How to create Short Month Name for Fiscal Year

How to do Grouping and Segmenting 1

How to do Grouping and Segmenting 2

How to use specific relationships if you have more than 1 relationship

Section13 : Advanced Business Scenarios

Create new table for Scenarios Measures

How to calculate of order per customers

How to add calculated column in Employee table

How to add calculated column in Resellers table

How to calculate Customers (using TOPN) for Target Marketing

How to calculate and display Profit Margins

How to calculate and display sales growth

How to calculate how many items bought by Customers Multiple times

How to calculate how many Resellers sold specific Item more than 5 times

How to calculate Moving Average 1

How to calculate Moving Average 2

How to calculate number of Products - Customers Sales Trend

How to calculate Profit or Margin Variance MOM

How to calculate sales category for Customers

How to calculate TOP 5 Customers with RANKX

How to calculate Trend on Profit for Internet Sales

How to categorize Employees on Sales

How to categorize Resellers

How to create Product Segment

How to export measures from Power BI file

How to see top N Products 01 Statically

How to see top N Products 02 Dynamically

How you calculate and show Profits

How you calculate Best Product Sales Day

How you calculate Dynamic TOPN product or Customers

How you calculate Hot Selling Products

How you calculate how many unique Customers bought specific Product

How you calculate how many unique Products bought by each Customer

How you calculate product sales growth

How you calculate Reseller 01 Sales Growth YOY

How you calculate Reseller 02 Profit Margins YOY

How you calculate Revenue Forecast 01 using Analytics Tab

How you calculate Revenue Forecast 01 using What If Parameter

How you calculate Top Employees

How you calculate which Reseller selling what Products

How you show Products quantity forecast 01 using Analytics Tab

How you show Products quantity forecast 02 using using What If Parameter

How you smooth the trend using Moving Averages

Section13 : Bonus - Dashboard-in-a-day (Same as actual Microsoft Class)

Dashboard-in-a-day and PBI Best Practices

DIAD - Introduction

DIAD - Accessing Data

DIAD - Data Prepration-0

DIAD - Data Prepration-1

DIAD - Data Modeling and Exploration-0

DIAD - Data Modeling and Exploration-1

DIAD - Data Modeling and Exploration-2

DIAD - Data Modeling and Exploration-3

DIAD - Data Modeling and Exploration-4

DIAD - Data Visualization-0

DIAD - Data Visualization-1

DIAD - Publishing Report

DIAD - Creating Dashboard0

DIAD - Creating Dashboard1

DIAD - Creating Dashboards

Section14 : Bonus - Power BI Best Practices.

Best Practice0

Best Practice1

Best Practice2

Best Practice3

Best Practice4

Best Practice5


Who this course is for:
Anyone looking to get a job and prepare to start data analytics career.
Entrepreneurs/CEO/Founders looking to master the Data Analysis process.
If you want to impress your boss and STANDING OUT from your colleagues and peers
Students learning in the field of Data.
You want to extend your knowledge in advanced DAX calculations .
Data scientists.
Business Analyst and aspiring Business Analyst.
You want your reports stand out and "WOW" your audience.
Business Analyst in charge of automation efforts.
Enthusiastic quality professionals who are NEW to the Business.
Analysis and want to take their skills to the next level.
Business Analyst who want to advance their skill set.
Anyone wanting to transition into Business Analyst.


Homepage
Code:
https://anonymz.com/?https://www.udemy.com/course/dax-data-analysis-expressions/

[Bild: 1.thankyouforenrollin34jm3.jpg]



Zitieren


Möglicherweise verwandte Themen…
Thema Verfasser Antworten Ansichten Letzter Beitrag
  (Dsa) Sppu It Data Struct & Algo + Free Prerequisite Video Panter 0 44 07.03.2024, 01:13
Letzter Beitrag: Panter
  Fds Cse Sppu (Sem:3) Data Structure Free Prerequisite Video Panter 0 45 07.03.2024, 01:07
Letzter Beitrag: Panter
  Learn English Idioms and Expressions with Diana Panter 0 58 26.11.2023, 00:13
Letzter Beitrag: Panter
  SQL BootCamp - Learn MySQL for Data Analysis Panter 0 79 24.02.2023, 16:06
Letzter Beitrag: Panter
  Learn Python Data Analysis with Pandas and Make a Unity Game Panter 0 112 24.02.2023, 15:44
Letzter Beitrag: Panter
  Learn Python Libraries For Data Analysis & Data Manipulation Panter 0 103 22.12.2022, 22:33
Letzter Beitrag: Panter

Gehe zu:


Benutzer, die gerade dieses Thema anschauen: 1 Gast/Gäste
Expand chat