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DAX Training in Hyderabad

DAX Training in Hyderabad

DAX Training in Hyderabad

DAX stands for Data Analysis Expressions, it is language developed by Microsoft to interact with data in a variety of their platforms like Power BI, PowerPivot and SSAS tabular models. It is designed to be simple and easy to learn while exposing the power and flexibility of tabular models. In a way, you could compare it with Excel formulas on steroids. Using DAX will truly unleash the capabilities of Power BI.

Krishna Technologies offers best Power BI Training in Hyderabad with most experienced professionals. Our Instructors are working in Power BI and related technologies for more years in MNC's. We aware of industry needs and we are offering Power BI Training in Hyderabad in more practical way. Our team of Power BI trainers offers Power BI in Classroom training, Power BI Online Training and Power BI Corporate Training services. We framed our syllabus to match with the real world requirements for both beginner level to advanced level. Our training will be handled in either weekday or weekends programme depends on participants requirement.

If you are looking to get your workforce trained on Microsoft PowerBI Desktop - The Free Data Visualization Tool from Microsoft that Topped the Gartner Magic Quadrant in the year 2018 - 2019 leaving behind Tableau

Microsoft Power BI is very strong in Data Modelling, Relationship Creation, Query Editor and to create a Generalized Model that can be used for multiple reporting need. The reason Microsoft Power BI has been excelling is its Software as a Service offering - Power BI Services.

Power BI Services has features to integrate with Artificial Intelligence(AI), can create Machine Learning Model on cloud, can integrate with the Machine Learning Model built on machine learning services and you can also integrate many of the Azure Cognitive Services like Image Tagging, Sentimental analysis, Language Translator, Key Word Extractor in your Data Set.

The Best part is you can create Power BI Data flows that can automate the real time predictions from these services and then use these Data Flows as connections in Power BI Desktop to create Visualization on top of it.

Microsoft Power BI Training | Power Bi Certification Program

Power BI - which combines Power BI Services, Desktop, and Mobile into a formidable business intelligence and analytics package. In this Power Bi Training Course, we teach you how to get the most out of this toolset.

The Power Bi Certification Training Program includes Data Modelling, Power Query, Dax, Visualisations and Power Bi Service.

Learn how to connect to external data sources and upload CSV and Excel files, and then use Power BI Pro to create insightful reports, visualizations, and dashboards, complete with charts and maps. Get further insights from your data with Power BI Q&A and Microsoft Cortana, and then share the results with colleagues.

Best Power BI Online Training in Hyderabad

We do offer Fast-Track Power BI Training in Hyderabad and One-to-One Power BI Training in Hyderabad. Here are the major topics we cover under this Power BI course Syllabus Basics of Power BI, Power BI Components, UI Widgets, Intents, Power BI Menu, Layout Manager, Adaptor, View, Advance Power BI which includes Fragment, Power BI Service, Data Storage, SQLite, JSON & XML, Content Provider, Power BI Notification, Multimedia, Speech API, Telephony API, Social API Integrations, Firebase Integration, Material Design Basic Concepts.Every topic will be covered in mostly practical way with examples.

Krishna Technologies located in various places in Hyderabad. We are the best Training Institute offers certification oriented Power BI Training in Hyderabad. Our participants will be eligible to clear all type of interviews at end of our sessions. We are building a team of Power BI trainers and participants for their future help and assistance in subject. Our training will be focused on assisting in placements as well. We have separate HR team professionals who will take care of all your interview needs. Our Power BI Training in Hyderabad Course Fees is very moderate compared to others. We are the only Power BI training institute who can share video reviews of all our students. We mentioned the course timings and start date as well in below.

Class 1 : INTRODUCTION TO POWER BI (Free Demo)
  • Introduction to Power BI - Need, Imprtance
  • Power BI - Advantages and Scalable Options
  • History - Power View, Power Query, Power Pivot
  • Power BI Data Source Library and DW Files
  • Cloud Colloboration and Usage Scope
  • Business Analyst Tools, MS Cloud Tools
  • Power BI Installation and Cloud Account
  • Power BI Cloud and Power BI Service
  • Power BI Architecture and Data Access
  • OnPremise Data Acces and Microsoft On Drive
  • Power BI Desktop - Instalation, Usage
  • Sample Reports and Visualization Controls
  • Power BI Cloud Account Configuration
  • Understanding Desktop & Mobile Editions
  • Report Rendering Options and End User Access
  • Power View and Power Map. Power BI Licenses
  • Course Plan - Power BI Online Training
Class 2 : CREATING POWER BI REPORTS, AUTO FILTERS
  • Report Design with Legacy & .DAT Files
  • Report Design with Databse Tables
  • Understanding Power BI Report Designer
  • Report Canvas, Report Pages: Creation, Renames
  • Report Visuals, Fields and UI Options
  • Experimenting Visual Interactions, Advantages
  • Reports with Multiple Pages and Advantages
  • Pages with Multiple Visualizations. Data Access
  • PUBLISH Options and Report Verification in Cloud
  • "GET DATA" Options and Report Fields, Filters
  • Report View Options: Full, Fit Page, Width Scale
  • Report Design using Databases & Queries
  • Query Settings and Data Preloads
  • Navigation Options and Report Refresh
  • Stacked bar chart, Stacked column chart
  • Clustered bar chart, Clustered column chart
  • Adding Report Titles. Report Format Options
  • Focus Mode, Explore and Export Settings
Class 3 : REPORT VISUALIZATIONS and PROPERTIES
  • Power BI Design: Canvas, Visualizations and Fileds
  • Import Data Options with Power BI Model, Advantages
  • Direct Query Options and Real-time (LIVE) Data Access
  • Data Fields and Filters with Visualizations
  • Visualization Filters, Page Filters, Report Filters
  • Conditional Filters and Clearing. Testing Sets
  • Creating Customised Tables with Power BI Editor
  • General Properties, Sizing, Dimensions, and Positions
  • Alternate Text and Tiles. Header (Column, Row) Properties
  • Grid Properties (Vertical, Horizontal) and Styles
  • Table Styles & Alternate Row Colors - Static, Dynamic
  • Sparse, Flashy Rows, Condensed Table Reports. Focus Mode
  • Totals Computations, Background. Boders Properties
  • Column Headers, Column Formatting, Value Properties
  • Conditional Formatting Options - Color Scale
  • Page Level Filters and Report Level Filters
  • Visual-Level Filters and Format Options
  • Report Fields, Formats and Analytics
  • Page-Level Filters and Column Formatting, Filters
  • Background Properties, Borders and Lock Aspect
Class 4 : CHART AND MAP REPORT PROPERTIES
  • chart report types and properties
  • stacked bar chart, stacked column chart
  • clustered bar chart, clustered column chart
  • 100% stacked bar chart, 100% stacked column chart
  • line charts, area charts, stacked area charts
  • line and stacked row charts
  • line and stacked column charts
  • waterfall chart, scatter chart, pie chart
  • Field Properties: Axis, Legend, Value, Tooltip
  • Field Properties: Color Saturation, Filters Types
  • Formats: Legend, Axis, Data Labels, Plot Area
  • Data Labels: Visibility, Color and Display Units
  • Data Labels: Precision, Position, Text Options
  • Analytics: Constant Line, Position, Labels
  • Working with Waterfall Charts and Default Values
  • Modifying Legends and Visual Filters - Options
  • Map Reports: Working with Map Reports
  • Hierarchies: Grouping Multiple Report Fields
  • Hierarchy Levels and Usages in Visualizations
  • Preordered Attribute Collection - Advantages
  • Using Field Hierarchies with Chart Reports
  • Advanced Query Mode @ Connection Settings - Options
  • Direct Import and In-memory Loads, Advantages
Class 5 : HIERARCHIES and DRILLDOWN REPORTS
  • Hierarchies and Drilldown Options
  • Hierarchy Levels and Drill Modes - Usage
  • Drill-thru Options with Tree Map and Pie Chart
  • Higher Levels and Next Level Navigation Options
  • Aggregates with Bottom/Up Navigations. Rules
  • Multi Field Aggregations and Hierarchies in Power BI
  • DRILLDOWN, SHOWNEXTLEVEL, EXPANDTONEXTLEVEL
  • SEE DATA and SEE RECORDS Options. Differences
  • Toggle Options with Tabular Data. Filters
  • Drilldown Buttons and Mouse Hover Options @ Visuals
  • Dependant Aggregations, Independant Aggregations
  • Automated Records Selection with Tabular Data
  • Report Parameters : Creation and Data Type
  • Available Values and Default values. Member Values
  • Parameters for Column Data and Table / Query Filters
  • Parameters Creation - Query Mode, UI Option
  • Linking Parameters to Query Columns - Options
  • Edit Query Options and Parameter Manage Entries
  • Connection Parameters and Dynamic Data Sources
  • Synonyms - Creation and Usage Options
Class 6 : POWER QUERY & M LANGUAGE - Part 1
  • Understanding Power Query Editor - Options
  • Power BI Interface and Query / Dataset Edits
  • Working with Empty Tables and Load / Edits
  • Empty Table Names and Header Row Promotions
  • Undo Headers Options. Blank Columns Detection
  • Data Imports and Query Marking in Query Editor
  • JSON Files & Binary Formats with Power Query
  • JavaScript Object Notation - Usage with M Lang.
  • Applied Steps and Usage Options. Revert Options
  • creating Query Groups and Query References. Usage
  • Query Rename, Load Enable and Data Refresh Options
  • Combine Queries - Merge Join and Anti-Join Options
  • Combine Queries - Union and Union All as New Dataset
  • M Language : NestedJoin and JoinKind Functions
  • REPLACE, REMOVE ROWS, REMOVE COL, BLANK - M Lang
  • Column Splits and FilledUp / FilledDown Options
  • Query Hide and Change Type Options. Code Generation
Class 7 : POWER QUERY & M LANGUAGE - Part 2
  • Invoke Function and Freezing Columns
  • Creating Reference Tables and Queries
  • Detection and Removal of Query Datasets
  • Custom Columns with Power Query
  • Power Query Expressions and Usage
  • Blank Queries and Enumuration Value Generation
  • M Language Sematics and Syntax. Tranform Types
  • IF..ELSE Conditions, TransformColumn() Types
  • RemoveColumns(), SplitColumns(),ReplaceValue()
  • Table.Distinct Options and GROUP BY Options
  • Table.Group(), Table.Sort() with Type Conversions
  • PIVOT Operation and Table.Pivot(). List Functions
  • Using Parameters with M Language (Power Query Editor)
  • Advanced Query Editor and Parameter Scripts
  • List Generation and Table Conversion Options
  • Aggregations using PowerQuery & Usage in Reports
  • Report Generation using Web Pages & HTML Tables
  • Reports from Page collection with Power Query
  • Aggregate and Evaluate Options with M Language
  • Creating high-density reports, ArcGIS Maps, ESRI Files
  • Generating QR Codes for Reports
  • Table Bars and Drill Thru Filters
Class 8 : DAX EXPRESSIONS - Level 1
  • Purpose of Data Analysis Expresssions (DAX)
  • Scope of Usage with DAX. Usabilty Options
  • DAX Context : Row Context and Filter Context
  • DAX Entities : Calculated Columns and Measures
  • DAX Data Types : Numeric, Boolean, Variant, Currency
  • Datetime Data Tye with DAX. Comparison with Excel
  • DAX Operators & Symbols. Usage. Operator Priority
  • Parenthesis, Comparison, Arthmetic, Text, Logic
  • DAX Functions and Types: Table Valued Functions
  • Filter, Aggregation and Time Intelligence Functions
  • Information Functions, Logical, Parent-Child Functions
  • Statistical and Text Functions. Formulas and Queries
  • Syntax Requirements with DAX. Differences with Excel
  • Naming Conventions and DAX Format Representation
  • Working with Special Characters in Table Names
  • Attribute / Column Scope with DAX - Examples
  • Measure / Column Scope with DAX - Examples
Class 9 : DAX EXPRESSIONS - Level 2
  • YTD, QTD, MTD Calculations with DAX
  • DAX Calculations and Measures
  • Using TOPN, RANKX, RANK.EQ
  • Computations using STDEV & VAR
  • SAMPLE Function, COUNTALL, ISERROR
  • ISTEXT, DATEFORMAT, TIMEFORMAT
  • Time Intelligence Functions with DAX
  • Data Analysis Expressions and Functions
  • DATESYTD, DATESQTD, DATESMTD
  • ENDOFYEAR, ENDOFQUARTER,ENDOFMONTH
  • FIRSTDATE, LASTDATE, DATESBETWEEN
  • CLOSINGBALANCEYEAR,CLOSINGBALANCEQTR
  • SAMEPERIOD and PREVIOUSMONTH,QUARTER
  • KPIs with DAX. Vertipaq Queries in DAX
  • IF..ELSEIF.. Conditions with DAX
  • Slicing and Dicing Options with Columns, Measures
  • DAX for Query Extraction, Data Mashup Operations
  • Calcualted COlumns and Calculated Measures with DAX
Class 10 : POWERBI DEPLOYMENT & CLOUD
  • PowerBI Report Validation and Publish
  • Understanding PowerBI Cloud Architecture
  • PowerBI Cloud Account and Workspace
  • Reports and DataSet Items Validation
  • Dashboards and Pins - Real-time Usage
  • Dynamic Data Sources and Encryptions
  • Personal and Organizational Content Packs
  • Gateways, Subscriptions, Mobile Reports
  • Data Refresh with Power BI Architecture
  • PBIX and PBIT Files with Power BI - Usage
  • Visual Data Imprts and Visual Schemas
  • Cloud and On-Premise Data Sources
  • How PowerBI Supports Data Model?
  • Relation between Dashbaords to Reports
  • Relation between Datasets to Reports
  • Relation between Datasets to Dashbaords
  • Page to Report - Mapping Options
  • Publish Options and Data Import Options
  • Need for PINS @ Visuals and PINS @ Reports
  • Need for Data Streams and Cloud Intergration
Class 11 : POWER BI CLOUD OPERATIONS
  • Report Publish Options and Verifications
  • Working with Power BI Cloud Interface & Options
  • Navigation Paths with "My Workspace" Screens
  • FILE, VIEW, EDIT REPORTS, ACCESS, DRILLDOWN
  • Saving Reports into pdf, pptx, etc. Report Embed
  • Report Rendering and EDIT, SAVE, Print Options
  • Report PIN and individual Visual PIN Options
  • Create and Use Dashboards. Menu Options
  • Goto Dashboard and Goto LIVE Page Options
  • Operations on Pinned Reports and Visuals
  • TITLE, MEDIA, USAGE METRICS & FAVOURITES
  • SUBSCRIPTION Options and Reports with Mobile View
  • Options with Report Page : Print and Subscribe
  • Report Actions: USAGE METRICS, ANALYSE IN EXCEL
  • Report Actions: RELATED ITEMS, RENAME, DELETE
  • Dashboard Actions: METRICS, RELATED ITEMS
  • Dashboard Actions: SETTINGS FOR Q & A, DELETE
  • PIN Actions: METRICS, SHARE, RELATED ITEMS
  • PIN Actions: SETTINGS FOR Q & A, DELETE
  • EDIT DASHBOARD (CLOUD), On-The-Fly Reports
  • Dataset Actions: CREATE REPORT, REFRESH
  • SCHEDULED REFRESH & RELATED ITEMS
  • Dashboard Integration with Apps in Power BI
Class 12 : IMPROVING POWER BI REPORTS
  • Publish PowerBI Report Templates
  • Import and Export Options with Power BI
  • Dataset Navigations and Report Navigations
  • Quick Navigation Options with "My Workspace"
  • Dashboards, Workbooks, Reports, Datasets
  • Working with MY WORK SPACE group
  • Installing the Power BI Personal Gateway
  • Automatic Refresh - Possible Issues
  • Adding images to the dashboards
  • Reading & Editing Power BI Views
  • Power BI Templates (pbit)- Creation, Usage
  • Managing report in Power BI Services
  • PowerBI Gateway - Download and Installation
  • Personal and Enterprise Gateway Features
  • PowerBI Settings : Dataset - Gateway Integration
  • Configuring Dataset for Manual Refresh of Data
  • Configuring Automatic Refresh and Schdules
  • Workbooks and Alerts with Power BI
  • Dataset Actions and Refresh Settings with Gateway
  • Using natural Language Q&A to data - Cortana
Class 13 : INSIGHTS AND SUBSCRIPTIONS
  • Data Navigation Paths and Data Splits
  • Getting data from existing systems
  • Data Refresh and LIVE Connections
  • pbit and pbix : differences. Usage Options
  • Quick Insights For Power BI Reports
  • Quick Insights For PowerBI Dashboads
  • Generating Insights with Cloud Datasets
  • Generarting Reports with Cloud Datasets
  • Using relational databases on-premises
  • Using relational databases in the cloud
  • Consuming a service content pack
  • Creating a custom data set from a service
  • Creating a content pack for your organization
  • Consuming an organizational content pack
  • Updating an organizational content pack
  • Adding Tiles : Images, Videos, DataStreams
  • Creating New Reports from Cortana, Advantages
Class 14 : POWERBI INTEGRATION ELEMENTS
  • SSRS Integration with Power BI
  • SSRS Report Portal URL to Power BI Cloud
  • Power BI KPI Reports Vs SSRS KPI Reports
  • Convering and Working with Mobile Reports
  • Report Buidler Reports to Powert BI
  • Generating QR Codes and Report Security
  • Reporting JSON Files, Bulk Data Loads
  • Creating high-density Reports in Power BI
  • OLAP DataSources in Power BI
  • Using MDX Queries with PowerBI Queries
  • MDX SELECT and Perspective Access
  • KPIs and MDX Expressions with Power BI
  • MDX Queries and Filters with Power BI
  • Linked Servers and T-SQL SPROCs with MDX
  • YTD, PARALLELPERIOD,SCOPE, ALLMEMBERS
  • WHERE, EXCEPT, RANGE, NONEMPTY
  • CURRENT & EMPTY, AND / OR, LEFT / RIGHT
  • Implementing Row Level Security (RLS)
  • Security Roles and Role Members. Tests
  • Using R for Power BI, Streaming DataSets
  • Azure Connections with PowerBI Desktop
  • PowerBI Reports using SQL Azure DBs

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