SharePoint 2010 for End Users

Microsoft SharePoint 2010 for End Users Introduction

Süre: 1 Gün

Overview

The goal of this course is to provide you with the knowledge required by an end-user of Microsoft SharePoint Server 2010. The course emphasises hands-on experience, with a series of self-guided exercises integrated into the training.
You will discover how to access SharePoint from a browser or from Microsoft Office; how to use SharePoint to collaborate within a team; organise and manage documents, events, lists and other items.  You will also be shown how to create your own site with both public and private areas, and how to search for information in a portal site.

This course will help you meet the following objectives:

• Understand the concept of using a SharePoint site
• Collaborate information with other people and teams
• Create and maintain SharePoint lists and libraries
• Use various tools to maintain content in a SharePoint site

 

 

Prerequisites

This course requires delegates to meet the following pre-requisites:

• A basic understanding of Windows
• Experience using Internet Explorer 7/8 or equivalent browser
• A basic knowledge of Office 2010 applications (Word, Excel, Outlook)

Please Note: If you attend a course and do not meet the prerequisites you may be asked to leave.

Delegates will learn how to

• Explain how SharePoint can help create a collaborative working environment
• Recognise site structure and the SharePoint building blocks
• Find information and people in a SharePoint site
• Create and edit libraries and lists
• Sort and filter items in a list or library
• Use a document library for collaborative working
• Share a team calendar and contact list
• Connect people to lists and libraries using Outlook
• Control document editing using Check In / Check Out
• Manage documents using versioning
• Create draft versions of documents

 

Course Outline

Understanding SharePoint

• Working with SharePoint
• SharePoint Structure
• The Ribbon
• Find Information or People

Managing My Site

• Understanding My Site
• My Profile
• My Colleagues
• Newsfeed Settings
• Tags and Notes

Document Libraries

• Lists vs. Libraries
• Manage Libraries
• Manage New Documents
• View and Edit Documents
• Wiki Libraries

Lists

• Managing Lists
• Calendar Event Lists

Managing Items

• Item Properties
• Sorting and Filtering Items
• Working with Views
• Connecting to Microsoft Outlook
• Auditing Items

Content Management

• Using Alerts
• RSS Feeds
• Check Out / Check In
• Document Versioning

 

SQL Server

About this Course This 5-day instructor led course provides students with the technical skills required to write basic Transact-SQL queries for Microsoft SQL Server 2012. This course is the foundation for all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence. This course helps people prepare for exam 70-461.   All the labs for this course can be performed using the provided virtual machines.  However, if you have a Microsoft Windows  Azure account and the classroom virtual machines connect to the internet you may be able to connect to your Windows Azure server and database from the classroom.  Many of the labs in this course are enabled for you to perform the lab while connected to your own Windows Azure database in the cloud. Your instructor should be able to provide a current list of Windows Azure enabled labs.

Audience Profile This course is intended for Database Administrators, Database Developers, and Business Intelligence professionals. The course will very likely be well attended by SQL power users who aren’t necessarily database-focused or plan on taking the exam; namely, report writers, business analysts and client application developers.

At Course Completion After completing this course, students will be able to: ·      Write SELECT queries ·      Query multiple tables ·      Use built-in functions ·      Use subqueries ·      Execute stored procedures ·      Use set operators ·      Implement error handling ·      Implement transactions ·      Use table expressions ·      Sort and filter data ·      Use window ranking, offset and aggregate functions ·      Query SQL Server metadata ·      Program with T-SQL ·      Improve query performance

 

Course OutlineModule 1: Introduction to Microsoft SQL Server 2012

This module introduces the SQL Server platform and major tools. It discusses editions, versions, tools used to query, documentation sources, and the logical structure of databases.Lessons

• Introducing Microsoft SQL Server 2012
• Getting Started with SQL Server Management Studio

Lab : Working with SQL Server 2012 Tools

• Working with SQL Server Management Studio
• Creating and Organizing T-SQL scripts
• Using Books Online

After completing this module, students will be able to:

• Describe the architecture and editions of SQL Server 2012.
• Work with SQL Server Management Studio.

Module 2: Getting Started with SQL Azure

This module introduces you to the concepts of SQL Azure.  If the virtual machines in your classroom are able to connect to the internet and you have a Windows Azure account you may be able to connect to your Azure server and database.  Many of the labs in the rest of this course are enabled for you to perform the lab while connected to your own Azure database in the cloud.

Lessons

• Overview of SQL Azure
• Working with SQL Azure

After completing this module, students will be able to:

• Describe the basic features of SQL Azure.
• Provision a SQL Azure server and configure its security.

Module 3: Introduction to T-SQL Querying

This module introduces Transact SQL as the primary querying language of SQL Server. It discusses the basic structure of T-SQL queries, the logical flow of a SELECT statement, and introduces concepts such as predicates and set-based operations.Lessons

• Introducing T-SQL
• Understanding Sets
• Understanding Predicate Logic
• Understanding the Logical Order of Operations in SELECT statements

Lab : Introduction to Transact-SQL Querying

• Executing Basic SELECT Statements
• Executing queries which filter data using predicates
• Executing queries which sort data using ORDER BY

After completing this module, students will be able to:

• Describe the elements of T-SQL and their role in writing queries
• Describe the use of sets in SQL Server
• Describe the use of predicate logic in SQL Server
• Describe the logical order of operations in SELECT statements

Module 4: Writing SELECT Queries

This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table.Lessons

• Writing Simple SELECT Statements
• Eliminating Duplicates with DISTINCT
• Using Column and Table Aliases
• Writing Simple CASE Expressions

Lab : Writing Basic SELECT Statements

• Write simple SELECT Statements
• Eliminate Duplicates Using Distinct
• Use Table and Column Aliases
• Use a Simple CASE Expression

After completing this module, students will be able to:

• Write simple SELECT statements.
• Eliminate duplicates using the DISTINCT clause.
• Use column and table aliases.
• Write simple CASE expressions.

Module 5: Querying Multiple Tables

This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from multiple tables.Lessons

• Understanding Joins
• Querying with Inner Joins
• Querying with Outer Joins
• Querying with Cross Joins and Self Joins

Lab : Querying Multiple Tables

• Writing Queries That Use Inner Joins
• Writing Queries That Use Multiple-Table Inner Join
• Writing Queries That Use Self Joins
• Writing Queries That Use Outer Loins
• Writing Queries That Use Cross Join

After completing this module, students will be able to:

• Describe how multiple tables may be queried in a SELECT statement using joins.
• Write queries that use inner joins.
• Write queries that use outer joins.
• Write queries that use self-joins and cross joins.

Module 6: Sorting and Filtering Data

This module explains how to enhance queries to limit the rows they return, and to control the order in which the rows are displayed. The module also discusses how to resolve missing and unknown results.Lessons

• Sorting Data
• Filtering Data with a WHERE Clause
• Filtering with the TOP and OFFSET-FETCH Options
• Working with Unknown and Missing Values

Lab : Sorting and Filtering Data

• Writing Queries That Filter Data Using a WHERE Clause
• Writing Queries That Filter Data Using an ORDER BY Clause
• Writing Queries That Filter Data Using the TOP Option
• Writing Queries That Filter Data Using the OFFSET-FETCH Clause

After completing this module, students will be able to:

• Filter data with predicates in the WHERE clause.
• Sort data using ORDER BY.
• Filter data in the SELECT clause with TOP.
• Filter data with OFFSET and FETCH.

Module 7: Working with SQL Server 2012 Data Types

This module explains the data types SQL Server uses to store data. It introduces the many types of numeric and special-use data types. It also explains conversions between data types, and the importance of type precedence.Lessons

• Introducing SQL Server 2012 Data Types
• Working with Character Data
• Working with Date and Time Data

Lab : Working with SQL Server 2012 Data Types

• Writing Queries That Return Date and Time Data
• Writing Queries That Use Date and Time Functions
• Writing Queries That Return Character Data
• Writing Queries That Use Character Functions

After completing this module, students will be able to:

• Describe numeric data types, type precedence and type conversions.
• Write queries using character data types.
• Write queries using date and time data types.

Module 8: Using Built-In Functions

This module introduces the use of functions that are built in to SQL Server Denali, and will discuss some common usages including data type conversion, testing for logical results and nullability.Lessons

• Writing Queries with Built-In Functions
• Using Conversion Functions
• Using Logical Functions
• Using Functions to Work with NULL

Lab : Using Built-In Functions

• Write queries which use conversion functions
• Write queries which use logical functions
• Write queries which test for nullability

After completing this module, students will be able to:

• Write queries with built-in scalar functions.
• Use conversion functions.
• Use logical functions.
• Use functions that work with NULL.

Module 9: Grouping and Aggregating Dat

This module introduces methods for grouping data within a query, aggregating the grouped data and filtering groups with HAVING. The module is designed to help the student grasp why a SELECT clause has restrictions placed upon column naming in the GROUP BY clause as well as which columns may be listed in the SELECT clause.Lessons

• Using Aggregate Functions
• Using the GROUP BY Clause
• Filtering Groups with HAVING

Lab : Grouping and Aggregating Data

• Write queries which use the GROUP BY clause
• Write queries which use aggregate functions
• Write queries which use distinct aggregate functions
• Write queries which filter groups with the HAVING clause

After completing this module, students will be able to:

• Write queries which summarize data using built-in aggregate functions.
• Use the GROUP BY clause to arrange rows into groups.
• Use the HAVING clause to filter out groups based on a search condition.

 

Module 10: Using Subqueries

This module will introduce the use of subqueries in various parts of a SELECT statement. It will include the use of scalar and multi-result subqueries, and the use of the IN and EXISTS operators.Lessons

• Writing Self-Contained Subqueries
• Writing Correlated Subqueries
• Using the EXISTS Predicate with Subqueries

Lab : Using Subqueries

• Write queries which use self-contained subqueries
• Write queries which use scalar and multi-result subqueries
• Write queries which use correlated subqueries and EXISTS predicate

After completing this module, students will be able to:

• Describe the uses of queries which are nested within other queries.
• Write self-contained subqueries which return scalar or multi-valued results.
• Write correlated subqueries which return scalar or multi-valued results.
• Use the EXISTS predicate to efficiently check for the existence of rows in a subquery.

Module 11: Using Table Expressions

This module introduces T-SQL expressions which return a valid relational table, typically for further use in the query. The module discusses views, derived tables, common table expressions and inline table-valued functions.Lessons

• Using Derived Tables
• Using Common Table Expressions
• Using Views
• Using Inline Table-Valued Functions

Lab : Using Table Expressions

• Write Queries Which Use Views
• Write Queries Which Use Derived Tables
• Write Queries Which Use Common Table Expressions
• Write Queries Which Use Inline Table-Valued Functions

After completing this module, students will be able to:

• Write queries which use derived tables.
• Write queries which use common table expressions.
• Create simple views and write queries against them.
• Create simple inline table-valued functions and write queries against them.

Module 12: Using Set Operators

This module introduces operations involving multiple sets of data. It will cover the use of the UNION, UNION ALL, APPLY, CROSS APPLY, OUTER APPLY operators as well as the EXCEPT and INTERSECTS operators.Lessons

• Writing Queries with the UNION Operator
• Using EXCEPT and INTERSECT
• Using APPLY

Lab : Using Set Operators

• Write queries which use UNION set operators and UNION ALL multi-set operators
• Write queries which use CROSS APPLY and OUTER APPLY operators
• Write queries which use EXCEPT and INTERSECT operators

After completing this module, students will be able to:

• Write queries which combine data using the UNION operator
• Write queries which compare sets using the INTERSECT and EXCEPT operators
• Write queries which manipulate rows in a table by using APPLY with the results of a derived table or function

Module 13: Using Window Ranking, Offset and Aggregate Functions

This module introduces window functions including ranking, aggregate and offset functions. Much of this functionality is new to SQL Server 2012. It will cover the use of T-SQL functions such as ROW_NUMBER, RANK, DENSE_RANK, NTILE, LAG, LEAD, FIRST_VALUE and LAST_VALUE to perform calculations against a set, or window, of rows.Lessons

• Creating Windows with OVER
• Exploring Window Functions

Lab : Using Window Ranking, Offset and Aggregate Functions

• Write queries which use ranking functions
• Write queries which use offset functions
• Write queries which use window aggregate functions

After completing this module, students will be able to:

• Describe the benefits to using window functions.
• Restrict window functions to rows defined in an OVER clause, including partitions and frames.
• Write queries which use window functions to operate on a window of rows and return ranking, aggregation and offset comparison results.

Module 14: Pivoting and Grouping Sets

This module discusses techniques for pivoting data in T-SQL as well to introduce the fundamentals of the GROUPING SETS clause. It will also cover the use of GROUP BY ROLLUP and GROUP BY CUBE syntax in SQL Server 2012.Lessons

• Writing Queries with PIVOT and UNPIVOT
• Working with Grouping Sets

Lab : Pivoting and Grouping Sets

• Write queries which use the PIVOT operator
• Write queries which use the UNPIVOT operator
• Write queries which use the GROUPING SETS subclause

After completing this module, students will be able to:

• Write queries which pivot and unpivot result sets
• Write queries which specify multiple groupings with grouping sets

Module 15: Querying SQL Server Metadata

This module introduces the use of SQL Server system objects in T-SQL queries. It will cover the use of system catalog views, system stored procedures, system functions, and dynamic management objects.Lessons

• Querying System Catalog Views and Functions
• Executing System Stored Procedures
• Querying Dynamic Management Objects

Lab : Querying SQL Server Metadata

• Querying System Catalog Views
• Querying System Functions
• Querying System Dynamic Management Views

After completing this module, students will be able to:

• Write queries that retrieve system metadata using system views and functions.
• Execute system stored procedures to return system information.
• Write queries that retrieve system metadata and state information using system dynamic management views and functions.

Module 16: Executing Stored Procedures

This module introduces the use of existing stored procedures in a T-SQL querying environment. It discusses the use of EXECUTE, how to pass input and output parameters to a procedure, and how to invoke system stored procedures.Lessons

• Querying Data with Stored Procedures
• Passing Parameters to Stored Procedures
• Creating Simple Stored Procedures
• Working with Dynamic SQL

Lab : Executing Stored Procedures

• Use the EXECUTE statement to invoke stored procedures
• Pass parameters to stored procedures
• Execute system stored procedures

After completing this module, students will be able to:

• Return results by executing stored procedures.
• Pass parameters to procedures.
• Create simple stored procedures which encapsulate a SELECT statement.
• Construct and execute dynamic SQL with EXEC and sp_executesql.

Module 17: Programming with T-SQL

This module provides a basic introduction to T-SQL programming concepts and objects. It discusses batches, variables, control of flow elements such as loops and conditionals, how to create and execute dynamic SQL statements, and how to use synonyms.Lessons

• T-SQL Programming Elements
• Controlling Program Flow

Lab : Programming with T-SQL

• Declaring Variables and Delimiting Batches
• Using Control-of-Flow Elements
• Generating Dynamic SQL
• Using Synonyms

After completing this module, students will be able to:

• Describe the language elements of T-SQL used for simple programming tasks.
• Describe batches and how they are handled by SQL Server.
• Declare and assign variables and synonyms.
• Use IF and WHILE blocks to control program flow.

Module 18: Implementing Error Handling

This module introduces the use of error handlers in T-SQL code. It will introduce the difference between compile errors and run-time errors, and will cover how errors affect batches. The module will also cover how to control error handling using TRY/CATCH blocks, the use of the ERROR class of functions, and the use of the new THROW statement.Lessons

• Using TRY / CATCH Blocks
• Working with Error Information

Lab : Implementing Error Handling

• Redirecting Errors with TRY / CATCH
• Using THROW to Pass an Error Message Back to a Client

After completing this module, students will be able to:

• Describe SQL Server’s behavior when errors occur in T-SQL code.
• Implement structured exception handling in T-SQL.
• Return information about errors from system objects.
• Raise user-defined errors and pass system errors in T-SQL code.

Module 19: Implementing Transactions

This module introduces the concepts of transaction management in SQL Server. It will provide a high-level overview of transaction properties, cover the basics of marking transactions with BEGIN, COMMIT and ROLLBACK.Lessons

• Transactions and the Database Engine
• Controlling Transactions

Lab : Implementing Transactions

• Controlling transactions with BEGIN, COMMIT, and ROLLBACK
• Adding error handling to a CATCH block

After completing this module, students will be able to:

• Describe transactions and the differences between batches and transactions.
• Describe batches and how they are handled by SQL Server.
• Create and manage transactions with transaction control language statements.
• Use SET XACT_ABORT to define SQL Server’s handling of transactions outside TRY / CATCH blocks.

Module 20: Improving Query Performance

This module introduces the concepts of system resource usage and the performance impact of querying SQL Server 2012. It will cover, at a high level, the use of indexes in SQL Server, the use of execution plans in SQL Server Management Studio, and the use of SET options to view system resource usage when executing queries. It will also compare set-based operations with cursor-based operations.Lessons

• Factors in Query Performance
• Displaying Query Performance Data

Lab : Improving Query Performance

• Viewing Query Execution Plans
• Viewing Index Usage and Using SET STATISTICS Statements

After completing this module, students will be able to:

• Describe components of well-performing queries.
• Describe the role of indexes and statistics in SQL Server
• Display and interpret basic query plans
• Display and interpret basic query performance data

 

Before attending this course, students must have:

• Working knowledge of relational databases.
• Basic knowledge of the Microsoft Windows operating system and its core functionality.

Before attending this course, students should have:

• Basic understanding of virtualization technology (Classroom labs utilize virtual machines)

To help you prepare for this class, review the following resources:

 

• Book: T-SQL Fundamentals for Microsoft SQL Server 2012 and SQL Azure
• MCTS Self Paced Training Kit 70-461

 

Power BI

Microsoft Power BI

Süre: 2 Gün

Microsoft Power BI is a cloud-based business analytics service that enables anyone to visualize and analyze data with greater speed, efficiency, and understanding. It connects users to a broad range of data through easy-to-use dashboards, interactive reports, and compelling visualizations that bring data to life.

With Power BI Desktop, you can:

• Get data

The Power BI Desktop makes discovering data easy. You can import data from a wide variety of data sources. After you connect to a data source, you can shape the data to match your analysis and reporting needs.

• Create relationships and enrich your data model with new measures and data formats

When you import two or more tables, oftentimes you’ll need to create relationships between those tables. The Power BI Desktop includes the Manage Relationships dialog and the Relationships view, where you can use Autodetect to let the Power BI Desktop find and create any relationships, or you can create them yourself. You can also very easily create your own measures and calculations or customize data formats and categories to enrich your data for additional insights.

• Create reports

The Power BI Desktop includes the Report View. Select the fields you want, add filters, choose from dozens of visualizations, format your reports with custom colors, gradients and several other options. The Report View gives you the same great report and visualizations tools just like when creating a report on PowerBI.com

• Save your reports

With the Power BI Desktop, you can save your work as a Power BI Desktop file. Power BI Desktop files have a .pbix extension.

• Upload or Publish your reports

You can upload the reports you created and saved in the Desktop to your Power BI site. You can also publish them to Power BI right from Power BI Desktop.

What you’ll learn

– Connect, import, shape, and transform data for business intelligence (BI)

– Visualize data, author reports, and schedule automated refresh of your reports

– Create and share dashboards based on reports in Power BI desktop and Excel

– Use natural language queries

– Create real-time dashboards

 

Course Outline

Getting Data

– Overview of Power BI Desktop

– Getting Started with Power BI Desktop

– Connect to Data Sources in Power BI Desktop

– Clean and Transform Your Data with the Query Editor

– More Advanced Data Sources and Transformation

– Cleaning Irregularly Formatted Data

Modeling

– Introduction to Modeling Your Data

– How to Manage Your Data Relationships

– Create Calculated Columns

– Optimizing Data Models

– Create Calculated Measures

– Explore your time-based data

 

Visualizations

– Introduction to Visuals in Power BI

– Create and Customize Simple Visualizations

– Combination Charts

– Slicers

– Map visualizations

– Matrixes and tables

– Scatter Charts

– Waterfall and funnel charts

– Gauges and single-number cards

– Modify colors in charts and visuals

– Shapes, text boxes, and images

– Page Layout and Formatting

– Duplicate a Report Page

– Show Categories with no Data

– Z-order

– Visual hierarchies and drill-down

Publishing and Sharing

– Introduction to the Power BI Service

– Publish Power BI Desktop reports

– Introduction to Content Packs, Security, and Groups

– Print and export dashboards and reports

– Quick Insights in Power BI

– Create and Configure a Dashboard

– Share Dashboards with your organization

 

Project

Microsoft Project Eğitimi

Süre: 2 Gün

 

Basit Bir Projeyi Yönetmek
· Project’le Çalışmaya Başlamak
· Project ile projelerinizi yönetmek
· Project i standart başlatmak
· Project Professional ı başlatmak
· Görünümleri keşfetmek
· Raporları keşfetmek
· Yeni bir proje planı yaratmak
· Çalışmayan Günleri ayarlamak
· Proje özelliklerini bilmek

Bir Görev Listesi Yaratmak
· Görevleri girmek
· Süreleri tahmin etmek
· Bir dönüm noktası girmek
· Görevleri evreler içinde düzenlemek
· Görevleri bağlamak
· Görevleri belgelendirmek
· Plan süresini denetlemek

Kaynakları Ayarlamak
· İnsan kaynaklarını ayarlamak
· Donanım kaynaklarını ayarlamak
· Malzeme kaynaklarını ayarlamak
· Kaynak ödeme oranlarını girmek
· Bağımsız kaynaklar için çalışma zamanını ayarlamak
· Kaynakları belgelendirmek

Görevlere Kaynaklar Atamak
· Görevlere kaynaklar atamak
· Bir göreve ek kaynaklar atamak
· Görevlere malzeme kaynaklar atamak

Planınızı Biçimlendirmek Ve Yazdırmak
· Özel bir gantt grafiği görünümü yaratmak
· Gantt grafiği üzerinde çizim yapmak
· Bir görünümde metni biçimlendirmek
· Raporları biçimlendirmek ve yazdırmak

Görevlerdeki İlerlemeyi İzlemek
· Bir proje temeli kaydetmek
· Projeyi zamanlandığı biçimde izlemek
· Bir tamamlama yüzdesini girmek
· Görevler için fiili değerler girmek

Karmaşık Bir Projeyi Yönetmek
· Görev Ayrıntılarına İnce Ayar Yapmak
· Görev ilişkileri ayarlamak
· Görev sınırlamaları ayarlamak
· Projenin kritik yoluna bakmak
· Bir görevdeki çalışmaya ara vermek
· Tek bir görevin çalışma zamanını ayarlamak
· Görev türlerini değiştirmek
· Son tarih bilgilerini girmek
· Sabit maliyetler girmek
· Yinelenen bir görev oluşturmak

Kaynak ve Atama Ayrıntılarına İnce Ayar Yapmak
· Bir kaynak için çok sayıda ödeme oranı girmek
· Farklı zamanlarda uygulamak için ödeme oranları ayarlamak
· Farklı zamanlarda uygulamak için kaynağın kullanılabilirliğini ayarlamak
· Atamaların başlaması ertelemek
· Atamalara çalışma dağılımı uygulamak
· Atamalara farklı maliyet oranları uygulamak
· Malzeme kaynağı tüketim oranları girmek

Proje Planına İnce Ayar Yapmak
· Zamana göre kaynak ayırmalarını incelemek
· Kaynak fazladan ayırmalarını elle çözümlemek
· Fazladan ayrılmış kaynakları seviyelendirmek
· Proje maliyetlerini incelemek
· Projenin bitiş tarihini denetlemek

Proje Ayrıntılarını Düzenlemek Ve Biçimlendirmek
· Proje ayrıntılarını sıralamak
· Proje ayrıntılarını gruplandırmak
· Proje ayrıntılarını filtrelendirmek
· Tabloları özelleştirmek
· Görünümleri özelleştirmek

Proje Bilgilerini Yazdırmak
· Proje planınızı yazdırmak
· Görünümleri yazdırmak
· Raporları yazdırmak

Proje Bilgilerini Çevrimiçi Yayımlamak
· Proje bilgilerini GIF görüntüsü olarak kopyalamak
· Proje bilgilerini web sayfası olarak kaydetmek
· Proje web sayfasının görüntüsünü değiştirmek

Proje Bilgilerini Başka Programlarla Paylaşmak
· Project ile kopyalamak ve yapıştırmak
· Word, Powerpoint yada Visio için bir Project özet raporu oluşturmak
· Project ten başka dosya biçimlerini açmak
· Project ten diğer dosya biçimlerine kaydetmek

Görev Ve Atamalardaki İlerleyişi İzlemek
· Bir temeli güncelleştirmek
· Görev ve atamalar için fiili ve kalan değerleri izlemek
· Görev ve atamalar  için zaman aşamalı fiili çalışmayı izlemek
· Tamamlanmamış çalışmayı yeniden zamanlamak

Proje Durumuna Bakmak Ve Rapor Etmek
· Kayan görevleri tanımlamak
· Görev maliyetlerini incelemek
· Kaynak maliyetlerini incelemek
· Trafik lambası görünümü ile proje maliyet sapmasını raporlandırmak

Projenizi Yeniden Rayına Oturtmak
· Zaman ve zamanlama sorunlarını gidermek
· Maliyet ve kaynak sorunlarını gidermek
· Çalışma kapsamı sorunlarını gidermek

Özel Konular

Gelişmiş Biçimlendirmeyi Uygulamak
· Gantt grafiği görünümündeki çubuk stillerini biçimlendirmek
· A diyagramı görünümünü biçimlendirmek
· Takvim görünümünü biçimlendirmek