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Exam Number : DA-100
Exam Name : Analyzing Data with Microsoft Power BI
Vendor Name : Microsoft
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DA-100 exam Format | DA-100 Course Contents | DA-100 Course Outline | DA-100 exam Syllabus | DA-100 exam Objectives


Exam Number : DA-100

Exam Name : Analyzing Data with Microsoft Power BI



This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.



Skills Gained

- Ingest, clean, and transform data

- Model data for performance and scalability

- Design and create reports for data analysis

- Apply and perform advanced report analytics

- Manage and share report assets

- Create paginated reports in Power BI



Specifically:

- Understanding core data concepts.

- Knowledge of working with relational data in the cloud.

- Knowledge of working with non-relational data in the cloud.

- Knowledge of data analysis and visualization concepts.



Course outline

Module 1: Get Started with Microsoft Data Analytics

This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.



Lessons

Data Analytics and Microsoft

Getting Started with Power BI

Lab : Getting Started

Getting Started

After completing this module, you will be able to:



Explore the different roles in data

Identify the tasks that are performed by a data analyst

Describe the Power BI landscape of products and services

Use the Power BI service

Module 2: Prepare Data in Power BI

This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage, and understand the difference and performance implications of connecting directly to data vs. importing it.


Lessons

Get data from various data sources

Optimize performance

Resolve data errors

Lab : Preparing Data in Power BI Desktop

Prepare Data



After completing this module, you will be able to:



Identify and retrieve data from different data sources

Understand the connection methods and their performance implications

Optimize query performance

Resolve data import errors

Module 3: Clean, Transform, and Load Data in Power BI

This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.



Lessons

Data shaping

Enhance the data structure

Data Profiling

Lab : Transforming and Loading Data

Loading Data



After completing this module, students will be able to:



Apply data shape transformations

Enhance the structure of the data

Profile and examine the data

Module 4: Design a Data Model in Power BI

This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.



Lessons

Introduction to data modeling

Working with tables

Dimensions and Hierarchies

Lab : Data Modeling in Power BI Desktop

Create Model Relationships

Configure Tables

Review the model interface

Create Quick Measures

Lab : Advanced Data Modeling in Power BI Desktop

Configure many-to-many relationships

Enforce row-level security



After completing this module, you will be able to:



Understand the basics of data modeling

Define relationships and their cardinality

Implement Dimensions and Hierarchies

Create histograms and rankings

Module 5: Create Model Calculations using DAX in Power BI

This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.



Lessons

Introduction to DAX

DAX context

Advanced DAX

Lab : Introduction to DAX in Power BI Desktop

Create calculated tables

Create calculated columns

Create measures

Lab : Advanced DAX in Power BI Desktop

Use the CALCULATE() function to manipulate filter context

use Time Intelligence functions



After completing this module, you will be able to:



Understand DAX

Use DAX for simple formulas and expressions

Create calculated tables and measures

Build simple measures

Work with Time Intelligence and Key Performance Indicators

Module 6: Optimize Model Performance

In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.



Lessons

Optimze the model for performance

Optimize DirectQuery Models

Create and manage Aggregations



After completing this module, you will be able to:



Understand the importance of variables

Enhance the data model

Optimize the storage model

Implement aggregations

Module 7: Create Reports

This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important subject of designing for accessibility is also covered.



Lessons

Design a report

Enhance the report

Lab : Designing a report in Power BI

Create a live connection in Power BI Desktop

Design a report

Configure visual fields adn format properties

Lab : Enhancing Power BI reports with interaction and formatting

Create and configure Sync Slicers

Create a drillthrough page

Apply conditional formatting

Create and use Bookmarks



After completing this module, you will be able to:



Design a report page layout

Select and add effective visualizations

Add basic report functionality

Add report navigation and interactions

Improve report performance

Design for accessibility

Module 8: Create Dashboards

In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.



Lessons

Create a Dashboard

Real-time Dashboards

Enhance a Dashboard

Lab : Designing a report in Power BI Desktop - Part 1

Create a Dashboard

Pin visuals to a Dashboard

Configure a Dashboard tile alert

Use brain dumps to create a dashboard tile



After completing this module, students will be able to:



Create a Dashboard

Understand real-time Dashboards

Enhance Dashboard usability

Module 9: Create Paginated Reports in Power BI

This module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.



Lessons

Paginated report overview

Create Paginated reports

Lab : Creating a Paginated report

Use Power BI Report Builder

Design a multi-page report layout

Define a data source

Define a dataset

Create a report parameter

Export a report to PDF



After completing this module, you will be able to:



Explain paginated reports

Create a paginated report

Create and configure a data source and dataset

Work with charts and tables

Publish a report

Module 10: Perform Advanced Analytics

This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for real data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.



Lessons

Advanced Analytics

Data Insights through AI visuals

Lab : Data Analysis in Power BI Desktop

Create animated scatter charts

Use teh visual to forecast values

Work with Decomposition Tree visual

Work with the Key Influencers visual



After completing this module, you will be able to:



Explore statistical summary

Use the Analyze feature

Identify outliers in data

Conduct time-series analysis

Use the AI visuals

Use the Advanced Analytics custom visual

Module 11: Create and Manage Workspaces

This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.



Lessons

Creating Workspaces

Sharing and Managing Assets

Lab : Publishing and Sharing Power BI Content

Map security principals to dataset roles

Share a dashboard

Publish an App



After completing this module, you will be able to:



Create and manage a workspace

Understand workspace collaboration

Monitor workspace usage and performance

Distribute an App

Module 12: Manage Datasets in Power BI

In this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.



Lessons

Parameters

Datasets



After completing this module, you will be able to:



Create and work with parameters

Manage datasets

Configure dataset refresh

Troubleshoot gateway connectivity

Module 13: Row-level security

This module teaches you the steps for implementing and configuring security in Power BI to secure Power BI assets.



Lessons

Security in Power BI



After completing this module, you will be able to:



Understand the aspects of Power BI security

Configure row-level security roles and group memberships



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five massive finance questions for 2024 | Killexams.com Resources

One be aware to birth: in this special version of DD, we’re searching forward to one of the crucial largest subjects as a way to have an effect on dealmaking, deepest equity, corporate finance and a great deal extra in the coming months. We’ll be again to their scheduled programming on Tuesday, January 9. Thanks for studying and chuffed new 12 months from Arash, JFK and the whole DD crew.

Welcome to Due Diligence, your briefing on dealmaking, deepest fairness and company finance. this article is an on-site version of the publication. check in here to get the publication despatched to your inbox every Tuesday to Friday. Get in touch with us every time: Due.Diligence@feet.com

Will capital markets and dealmaking make a comeback? 

Dealmakers want balance to execute transactions, and it changed into severely missing over the past yr. Rising pastime costs and complex financial circumstances blended with tumultuous monetary markets and annoying geopolitics cast a deep sit back over endeavor.

Heading into 2024, the market can be thawing. US Federal Reserve chair Jay Powell has signalled that the cycle of expense rises could be over. on the same time, private equity corporations and big corporates which have kept away from endeavor face increasing urgency to strike deals. 

because the market digests new macro and monetary circumstances, bankers, legal professionals and consultants are getting the message to equipment up for a extra lively 2024.

It’s difficult to imagine that issues might decelerate extra after the past year, which noticed global M&A volumes drop to a 10-12 months low while initial public providing proceeds fell with the aid of about a 3rd 12 months-on-year. 

Yet the extent of that revival remains in query, with elections on each side of the Atlantic, two wars, and a rocky financial outlook offering ample uncertainty to keep dealmakers on their toes within the new yr.

Will increase instances return for private fairness? 

closing year they requested no matter if deepest equity become within the danger zone. fast-ahead twelve months, and the tide has grew to become for the buyout companies which have spent the previous decade basking in cheap money.

PE enterprises at the moment are left sitting on trillions of unsold investments and their backers are traumatic their funds back earlier than committing extra money to the asset category. As ordinary exit routes from investments — a sale to one more company, or a flotation on the inventory market — have develop into extra problematic within the new macroeconomic ambiance, some buyout organizations have grown artistic.

They’ve increasingly embraced suave new economic engineering strategies similar to internet asset value financing, aka the use of the cash move of its already leveraged assets to borrow greater funds to fund investor payouts or to alleviate stability sheet pressures at giant investments. Take Vista fairness partners’ recapitalisation of fintech community Finastra, for instance. 

The forthcoming 12 months will deliver a litmus check for many speedy-becoming establishments corresponding to Thoma Bravo, Clearlake Capital and perception companions as they carry new funds. PE giants Blackstone and KKR are also in the procedure of raising new flagship funds.

Dealmakers are additionally starting to envisage more desirable primary trade to the industry, similar to the years around the 2008 fiscal disaster when Blackstone, KKR and Apollo all went public. All three groups saw their shares skyrocket in 2023.

a new crop of IPO candidates in CVC, usual Atlantic and L Catterton can also examine the waters of public markets in 2024, while BlackRock continues to hunt for its “transformative” deepest capital deal.

Will the trustbusters get busted up? 

Joe Biden’s antitrust crew begun last year with a goal to crack down on tech giants equivalent to Google, Meta and Amazon and get complicated on the deepest fairness giants that had come to manage titanic swaths of the economy.

The outcomes had been combined. After some massive setbacks, together with Amgen’s $28bn takeover of fellow drugmaker Horizon Therapeutics, and Microsoft’s $75bn buy of online game developer Activision Blizzard, competitors watchdogs across the globe pulled off wins together with scuttling Adobe’s deliberate $20bn acquisition of smaller rival Figma and forcing Illumina’s divestment of Grail.

Lina Khan Lina Khan turned into appointed via US president Joe Biden in 2021 with a mandate to revive the FTC to its trustbusting origins © AP

And under chair Lina Khan, the U.S. Federal change commission introduced its first lawsuit centered at serial acquisitions with the aid of private fairness corporations, concentrated on Welsh, Carson, Anderson & Stowe over its takeovers of anaesthesiology practices. It could be an enormous check in the FTC’s campaign in opposition t so-known as deepest fairness roll-ups.

A suit towards Google by Jonathan Kanter, head of the U.S. branch of Justice’s antitrust unit, over its dominance in digital promoting and a problem to Amazon by way of Khan and the FTC will function extra exams for Biden’s revolutionary regulatory regime.

but the fumble at Microsoft could imply that antitrust regulators have overstepped their bounds. Pushing for lasting exchange is a wiser route than chasing blockbuster victories, primarily with a fierce presidential election simply across the corner.

What now for the ‘golden age’ of deepest credit? 

It was a increase 12 months for personal credit. As markets whipsawed and banks retreated from one in every of their most profitable enterprise lines, tremendous deepest credit traders stepped into the void. 

massive buyouts have been financed by way of the likes of Ares administration, Sixth street, HPS investment companions and Blue Owl. These sorts of corporations additionally grew to be the only choice when overleveraged companies essential to refinance their debt, à la Finastra and KKR-backed veterinary health center operator PetVet.

Their newfound stranglehold on the lending market may be firmly challenged subsequent 12 months as banks hope to re-emerge as a reputable option to private equity sponsors. 

There’s already competitors beneath means between the two camps to finance KKR’s investment in healthcare know-how company Cotiviti. 

How some distance banks go to win lower back a company they have got traditionally dominated is unclear and might generally be pushed by way of the Fed’s posture round interest quotes. Analysts with Moody’s believe the competitors will develop into fairly severe, that means fewer protections for lenders (read credit score investors) and superior terms for debtors.

Banks across Wall highway were cutting offers with asset managers as they seem to take again market share. That’s tune to the ears of inner most equity traders who saw their can charge of capital spiral better closing 12 months.

nonetheless it could all nevertheless go wrong. The Fed’s path might be stylish on inflation and private credit score cash will ought to navigate a likely slowing economic system as smartly as the cascading effect that has on the loans they’ve hoovered up during the last 5 years. credit standing companies caution that across the corner is a rise in defaults, which they expect will weigh on deepest credit score returns. 

What’s the outlook for employment and pay on Wall street?

Bankers got here into 2023 realizing nothing became basically going to measure as much as the increase times of two years in the past, nonetheless it nevertheless proved to be a particularly brutal 12 months for Wall highway’s elite.

Lay-offs were the huge theme with tens of thousands of job cuts, that are set to continue into 2024. those that survived had been instructed to brace for lower bonuses as rising activity quotes and the in the past mentioned dealmaking kick back left little to seem forward to. 

There’s some hope that 2024 will bring respectable tidings. The conclusion of the yr saw an uptick in listings, including the likes of chip clothier Arm and German sandal maker Birkenstock, as well as a gush of oil megadeals, which may well be an indication of superior things to return. 

speaking in an interview with the ft, Morgan Stanley’s outgoing chief government James Gorman struck a more upbeat tone. “The minute the Federal Reserve has concretely signalled that they’ve stopped raising rates, not to mention the factor at which they first do a rate reduce, these markets will take off,” he talked about.

even though it’s doubtful when this “take-off” will occur.

James Gorman James Gorman © Bloomberg

inspite of how investment bankers fare, their vaunted status on Wall road is coming below problem. The celeb attorneys will continue to displace them.

partners at elite law companies akin to Kirkland & Ellis; Wachtell, Lipton, Rosen & Katz and Paul Weiss, have considered their pay soar and they don’t suppose with the intention to stop within the close term. And legislation businesses are less regulated and greater assorted than the banks. The most effective question for the superstars is when will the frequent counsels at their massive shoppers beginning getting jealous.

DD predictions for this year:

Will David Solomon still be working Goldman Sachs by year-conclusion?

We’re leaning no, but you truly won’t trap him at the back of a DJ booth each time soon.

Will the Carlyle neighborhood still be impartial?

The inner most fairness company faces a big task catching as much as competitors in 2024. We’re now not certain there’s a buyer out there.

Will Elon Musk default on X’s debt?

every thing is pleasant, in response to Elon, anyway. are expecting to listen to greater about how X is truly AI.

Can Jane Fraser stop the bleeding at Citigroup?

Turning round a supertanker is difficult. One guaranteed winner: Fraser’s ex-service provider McKinsey & business. 

Will Patrick Drahi clear up his money and corruption crises?

All signs element to challenge ahead.

Will Masa Son do something crazy?

Of path he will.

Is Miami going to exchange long island as the centre of US finance?

Ken Griffin appears satisfied. We’re now not.

Who may be the largest dealmaker, Saudi Arabia or Abu Dhabi?

Sheikh Tahnoon is giving Saudi Arabia a run for its funds.

Will Disney be broken up or obtained?

Bob Iger is beneath power to determine that out, and quick. offers for sure, ruin-up we’re now not certain.

and at last, some of their frequent aspects from last year:

inner most equity: larger prices start to pummel dealmakers

mission Yeti: How HSBC purchased Silicon Valley financial institution UK for £1 

How the Swiss ‘trinity’ pressured united statesto store credit Suisse

Centerview: The Wall road vigor brokers confronting a rare breach

Kirkland & Ellis: is it birthday celebration over for the realm’s most ecocnomic legislation enterprise

Has China develop into too cosy with private fairness?

The downfall of the decide who dominated chapter in the us

Carl Icahn admits mistake with bearish wager that charge $9bn

‘assignment Springsteen’: how law enterprise Paul Weiss raided rival Kirkland in London push

Due Diligence is written through Arash Massoudi, Ivan Levingston, William Louch and Robert Smith in London, James Fontanella-Khan, Francesca Friday, Ortenca Aliaj, Sujeet Indap, Eric Platt, Mark Vandevelde and Antoine Gara in big apple, Kaye Wiggins in Hong Kong, George Hammond and Tabby Kinder in San Francisco, and Javier Espinoza in Brussels. Please send remarks to due.diligence@feet.com

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