IT Training Typewriting Training Courses in Dubai

Course Details

This course will help you learn and master the R language specifically for Advanced Data Science, wherein it is widely used to build methods, processes, and systems to extract knowledge or insights from data in various forms. You can become an Advanced Data Science Expert once you have mastered R – one of the most popular tools for data science. Learners are required to complete 10 weeks of faculty led Online mode. The following are the modules covered Big Data 101 Big Data Characteristics Big Data and Business Case Studies Data Relationships and Data Model Data Grouping Clustering Algorithms Getting ready for Clustering Algorithms KPIs, Businesses & Data Elements Mapping for business outcomes Basic Query Advanced Query – Embedding R Programming R Programming Introduction to R – I Introduction to R – II Common Data Structures in R Conditional Operation and Loops Looping in R using Apply Family Functions Creating User Defined Functions in R Graphics with R Advanced Graphics with R Statistics 101 Introduction to Statistics Introduction to Statistics – II Measures of Central Tendency, Spread and Shape – I Measures of Central Tendency, Spread and Shape – II Measures of Central Tendency, Spread and Shape – III Machine Learning with R Introduction to R, R Studio and Basic R Operations Import, Export and Data Manipulation with R Concept of data structure in R Concept of Index in R Creating Boolean index in R based on conditions Hands on exercise Understanding Loops in R Building User functions in R Basic R Graphics Understanding data clustering concepts and techniques Running clustering in R with Silhouette distance measure for cluster validity Understanding data classification concepts and techniques using decision trees Model building concepts and techniques Concepts of Association Rule Mining Building association rules and interpretation

This program is brought to you by Praxis B school

The course is designed to enable the candidates to be responsible for business analytics, building data products and software platforms, along with developing visualizations and machine learning algorithms.

Course Details

Advanced Certificate Program in Business Analytics is one of the key requisites in any large organization. The time is at its best for someone to take up a career in this domain. Enormous opportunities and extreme dearth in getting candidates force large organizations go helter-skelter. It is imperative that career seekers grab this opportunity. Learners are required to complete 3-6 months of faculty led Online mode. The following are the modules covered  

• Advanced Statistics with R
• Inference and hypothesis testing on single population
• Analysis of difference in two populations
• Analysis of Variance
• Chi-Square Analysis
• Analysis of data using Non-parametric Statistics
• Linear regression analysis
• Multiple regression analysis
• Advanced Multiple regression analysis
• Logistic Regression
• Forecasting  
• Data Mining - Advanced Machine Learning with R
• Clustering concepts
• Measures of cluster validity
• Classification Techniques
• Recommendation Systems
• Sequential Pattern Mining
• Case Analysis

This program is brought to you by Praxis B school

This advanced course is designed to provide in-depth knowledge of data handling and Business Analytics’ tools that can be used for fact-based decision-making. The candidates will be able to analyze and solve problems from different industries such as manufacturing, service, retail, software, banking and more.

Course Details

Advanced Certificate Program in Data Visualization is one of the key requisites in any large organization. The time is at its best for someone to take up a career in this domain. Enormous opportunities and extreme dearth in getting candidates force large organizations go helter-skelter. It is imperative that career seekers grab this opportunity. Learners are required to complete 3-6 months of faculty led Online mode. The following are the modules covered  

• Data Visualization with Tableau
• Need for visualizing data
• Research methodologies
• Importance of Big data visualization
• Tableau product offerings
• Installation of Tableau Public
• Working with Tableau - Live Case study/Discussion
• Creating interactive dashboards with Tableau Public
• Case study discussion
• Story Boarding with Tableau Public
• Case study discussion
• Geomapping in Tableau
• Qlik view – Basics
• Google charts – Basics
• Dynamic charts with Google Docs
• Supplementary material & Case study discussion
• Closing session & Queries

Data Visualization with D3

This program is brought to you by Praxis B school

The program is designed to expose candidates to rigorous market research, logistic coding, knowledge expertise in the field of data mining, statistical and problem-solving skills, data visualization and communication skills. 

Course Details

Advanced Certificate Program in Data Science is one of the key requisites in any large organization. The time is at its best for someone to take up a career in this domain. Enormous opportunities and extreme dearth in getting candidates force large organizations go helter-skelter. It is imperative that career seekers grab this opportunity. Learners are required to complete 86 hours of faculty led Online mode. The following are the modules covered  

• Big Data 101
• Big Data Characteristics
• Big Data and Business
• Case Studies
• Data Relationships and Data Model
• Data Grouping
• Clustering Algorithms
• Getting ready for Clustering Algorithms
• KPIs, Businesses & Data Elements
• Mapping for business outcomes
• Basic Query
• Advanced Query – Embedding

• Python
• Understanding Basics of Python
• Control Structures and for loop
• Playing with while loop | break and continue
• Strings and files
• List
• Dictionary and Tuples

Spark with Python  

• Statistics with R
• Introduction to Data
• Introduction to Probability
• Distributions
• Introduction to linear regression
• Foundations for inference and estimation
• Foundations for inference and hypothesis testing
• Linear Regression and Multiple Regression

This program is brought to you by Praxis B school

This course is designed to provide in-depth knowledge of data handling and Business Analytics’ tools that can be used for fact-based decision-making. The candidates will be able to analyze and solve problems from different industries such as manufacturing, service, retail, software, banking and more.

Course Details

Advanced Certificate Program in Data Science is one of the key requisites in any large organization. The time is at its best for someone to take up a career in this domain. Enormous opportunities and extreme dearth in getting candidates force large organizations go helter-skelter. It is imperative that career seekers grab this opportunity. Learners are required to complete 3-6 weeks of faculty led Online mode. The following are the subjects covered  

• Statistics 101
• Introduction to Statistics
• Introduction to Statistics – II
• Measures of Central Tendency, Spread and Shape – I
• Measures of Central Tendency, Spread and Shape – II
• Measures of Central Tendency, Spread and Shape – III
• Measuring Association

• R Programming
• R Programming
• Introduction to R – I
• Introduction to R – II
• Common Data Structures in R    
• Conditional Operation and Loops Looping in R
• using Apply Family Functions Creating User Defined
• Functions in R Graphics with R Advanced Graphics with R

• Python
• Understanding Basics of Python
• Control Structures and for loop
• Playing with while loop | break and continue
• Strings and files
• List
• Dictionary and Tuples

• Data Mining 1 - Machine Learning with R & Python
• Introduction to NumPy
• Introduction to Pandas
• Slicing Data
• Exploratory Data Analysis
• Exploratory Data Analysis (Continue)
• Missing Value Imputation and Outlier Analysis
• Linear Regression Motivation
• Linear Regression optimization objective
• Linear Regression in Python
• Introduction to Regression Tree
• Introduction to Classification Tree
• Measures of Selecting the best Split
• Cluster Analysis – Hierarchical Clustering & k-Means Clustering
• Customer segmentation in Telecom Industry using Cluster Analysis
• k-Means clustering
• Association Rules mining
• Market Basket Analysis

• Data Mining 2 - Advanced Machine Learning with R & Python
• Sources of Error (Irreducible error, bias and variance)
• Formally defining the 3 Sources of Error
• Linear Regression – Multicollinearity (VIF)
• Qualitative Predictors – Use of Dummy Variables
• Observing overfitting in Polynomial Regression
• Regularized Regression (L2 – Regularization) – To avoid overfitting
• Regularized Regression (L1 – Regularization) – Feature selection using regularization
• Regularized Regression – How does regularized regression handles multicollinearity?
• Decision Tree – Pruning
• Bagging Models
• Designing your own Bagged Model
• Random Forest
• Boosting (Ada Boost)
• K Nearest Neighbour – Concept. kNN algorithm for k=1 and k>1
• Writing a K Nearest Neighbour algorithm from scratch
• Comparison of kNN with Linear Regression; Difference between kNN and kMeans.
• Revision of basics of Linear Algebra
• The Theory of dimension reduction
• Practical – Compressing an image file [Practical using R Software]
• Practical – Compressing an image file [Practical using R Software] (Continue)

This program is brought to you by Praxis B school

The course will make the candidates expert in Machine Learning and data automation without explicit programming. The candidates will be mastered in Machine Learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for the role of Machine Learning Engineer.

Course Details

Professional Certificate Program in Machine Learning is one of the key requisites in any large organization. The time is at its best for someone to take up a career in this domain. Enormous opportunities and extreme dearth in getting candidates force large organizations go helter-skelter. It is imperative that career seekers grab this opportunity. Learners are required to complete 20 weeks of faculty led Online mode. The following are the subjects covered  

• Big Data 101
• Big Data Characteristics
• Big Data and Business
• Data Relationships and Data Model
• Data Grouping
• Clustering Algorithms
• Getting ready for Clustering Algorithms
• Clustering Algorithms – UPGMA, single Link Clustering
• KPIs, Businesses & Data Elements
• Mapping for business outcomes
• Basic Query
• Advanced Query – Embedding
• Mathematics Modelling
• Introduction to key mathematical concepts
• Application of eigenvalues and eigenvectors
• Application of the graph Laplacian
• Application of PCA and SVD
• Coding in DB Environment
• Making Data Sets  
• Statistics 101
• Introduction to Statistics
• Introduction to Statistics – II
• Measures of Central Tendency, Spread and Shape – I
• Measures of Central Tendency, Spread and Shape – II
• Measures of Central Tendency, Spread and Shape – III  
• R Programming
• R Programming
• Introduction to R – I
• Introduction to R – II
• Common Data Structures in R
• Conditional Operation and Loops
• Looping in R using Apply Family Functions
• Creating User Defined Functions in R
• Graphics with R
• Advanced Graphics with R

Big Data with Spark and Python  

• Python
• Understanding Basics of Python
• Control Structures and for loop
• Playing with while loop | break and continue
• Strings and files
• List
• Dictionary and Tuples  
• Data Mining 1 - Machine Learning with R & Python
• Introduction to NumPy
• Introduction to Pandas
• Slicing Data
• Exploratory Data Analysis
• Exploratory Data Analysis (Continue)
• Missing Value Imputation and Outlier Analysis
• Linear Regression Motivation
• Linear Regression optimization objective
• Linear Regression in Python
• Introduction to Regression Tree
• Introduction to Classification Tree
• Measures of Selecting the best Split
• Cluster Analysis – Hierarchical Clustering & k-Means Clustering
• Customer segmentation in Telecom Industry using Cluster Analysis
• k-Means clustering
• Association Rules mining
• Market Basket Analysis  
• Data Mining 2 - Advanced Machine Learning with R & Python
• Sources of Error (Irreducible error, bias and variance)
• Formally defining the 3 Sources of Error
• Linear Regression – Multicollinearity (VIF)
• Qualitative Predictors – Use of Dummy Variables
• Observing overfitting in Polynomial Regression
• Regularized Regression (L2 – Regularization) – To avoid overfitting
• Regularized Regression (L1 – Regularization) – Feature selection using regularization
• Regularized Regression – How does regularized regression handles multicollinearity?
• Decision Tree – Pruning
• Bagging Models
• Designing your own Bagged Model
• Random Forest
• Boosting (Ada Boost)
• K Nearest Neighbour – Concept. kNN algorithm for k=1 and k>1
• Writing a K Nearest Neighbour algorithm from scratch
• Comparison of kNN with Linear Regression; Difference between kNN and kMeans.
• Revision of basics of Linear Algebra
• The Theory of dimension reduction
• Practical – Compressing an image file [Practical using R Software]
• Practical – Compressing an image file [Practical using R Software] (Continue)

Artificial Intelligence & Deep Learning - Industry Practices

This program is brought to you by Praxis B school

The Professional Certificate Program in Machine Learning is mid-range program, strategically designed to make the candidates competent authority in the enticing world of Machine Learning by introducing you to the fundamentals and dynamics of Machine Learning for coding, linear classification, research and development of algorithms and to predict to extract patterns.

Course Details

Professional Certificate Program in Big Data Technologies is one of the key requisites in any large organization. The time is at its best for someone to take up a career in this domain. Enormous opportunities and extreme dearth in getting candidates force large organizations go helter-skelter. It is imperative that career seekers grab this opportunity. Learners are required to complete 3-6 months of faculty led Online mode.

The following are the subjects covered  

• Big Data 101
• Big Data Characteristics
• Big Data and Business
• Data Relationships and Data Model
• Data Grouping
• Clustering Algorithms
• Getting ready for Clustering Algorithms
• Clustering Algorithms – UPGMA, single Link Clustering
• KPIs, Businesses & Data Elements
• Mapping for business outcomes
• Basic Query
• Advanced Query – Embedding
• Mathematics Modelling
• Introduction to key mathematical concepts
• Application of eigenvalues and eigenvectors
• Application of the graph Laplacian
• Application of PCA and SVD
• Coding in DB Environment
• Making Data Sets

• Statistics 101
• Introduction to Statistics
• Introduction to Statistics – II
• Measures of Central Tendency, Spread and Shape – I
• Measures of Central Tendency, Spread and Shape – II
• Measures of Central Tendency, Spread and Shape – III
• R Programming
• R Programming
• Introduction to R – I
• Introduction to R – II
• Common Data Structures in R
• Conditional Operation and Loops
• Looping in R using Apply Family Functions
• Creating User Defined Functions in R
• Graphics with R
• Advanced Graphics with R

• Hadoop
• Introduction to Big Data and Hadoop
• Introduction to DBMS systems using MySQL
• Big Data and Hadoop EcoSystem
• HDFS
• Unix & HDFS Hands-on
• Map-Reduce basics
• Map Reduce Advanced Topics and Hands on
• Pig introduction and Hands on
• Pig Scripting
• Hive Introduction, Metastore, Limitations of Hive
• Comparison with Traditional Database and HIVE scripting
• Hive Data Types, Partitioning and Bucketing
• Hive Tables (Managed and External)
• Hive Continued
• Scoop Introduction and Hands-on
• Introduction to NoSql and HBASE
• HBASE architecture and Hands-on

Access Methods Big Data with Spark and Python

• Python
• Understanding Basics of Python
• Control Structures and for loop
• Playing with while loop | break and continue
• Strings and files
• List
• Dictionary and Tuples
• RDBMS with SQL and DWH
• Introduction to DBMS / RDBMS
• Data Modelling
• Physical Data Model
• Getting Started with SQL Lite
• DDL
• DML
• Introduction to Data Warehousing
• Dimensional Modelling
• Advanced SQL
• Olap Cubes
• Olap Cubes Practicals

This program is brought to you by Praxis B school

At the completion of this course, students will be able to build their career in Software Development, Testing, Administration, Building Data, Processing Systems and Data Warehousing.

Course Details

Certificate Program in Text and Web Analytics is one of the key requisites in any large organization. The time is at its best for someone to take up a career in this domain. Enormous opportunities and extreme dearth in getting candidates force large organizations go helter-skelter. It is imperative that career seekers grab this opportunity. Learners are required to complete 3 months of faculty led Online mode. The following are the subjects covered

• Text Analytics
• Basics of text analysis processes
• Web crawling
• Web Scraping from downloaded html files
• Text classification
• Singular Value decomposition concept
• Latent Semantic Analysis
• Document clustering
• Topic Modeling
• Class Assignments
• Presentation

• Web Analytics
• Introduction to Digital Media Analytics
• Introduction to Google Analytics
• Concept of Account, Property and View
• Concept of Sessions and Users
• Concept of Dimension, Metric and Segment
• Reading a Google Analytics Report
• Audience Analytics
• Acquisition Analytics
• Behaviour Analytics
• Real-Time Analytics
• Setting Up and Analysing Events
• Intelligent Events
• Setting Up and Analysing Experiments
• Setting Up and Measuring Conversion Goals
• Attribution Modelling
• Segment Reporting
• Designing Custom Reports
• Introduction to Google Adwords
• Search Marketing
• Display Marketing
• Google Adwords Analytics
• Managing a Google Analytics Account

• R Programming
• R Programming
• Introduction to R – I
• Introduction to R – II
• Common Data Structures in R
• Conditional Operation and Loops
• Looping in R using Apply Family Functions
• Creating User Defined Functions in R
• Graphics with R
• Advanced Graphics with R
• Python
• Understanding Basics of Python
• Control Structures and for loop
• Playing with while loop | break and continue
• Strings and files
• List
• Dictionary and Tuples

This program is brought to you by Praxis B school

This course covers the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, enabling the candidates to gain immense industry knowledge that will make them exceptional at work in NLP, VP Product Engineering, Data Science, and more.

Course Details

CyberModo has trained many individuals and corporate levels and we are proud for share of contribution we made in the lives of those who we have trained. 

Social media represents one of the most significant changes in consumer media behavior in history, resulting in fundamental shifts in the way marketers communicate and interact with consumers. This course provides the practical knowledge and insights required to establish objectives and strategies, properly select the social media platforms to engage consumers, and monitor and measure the results of these efforts.

When does course begin?

You can start anytime after the registration, as we do not take more than two candidates in a batch. 

Duration of class: Each class goes for two-hour session, but if needed it can be extended to 4-5 hours to finish the course quickly, Weekend (Fri and Sat only) also available. Flexible days and time are available for training.

We can assure you of the quality training and all the studies material will be provided to you. Flexible days and time are available on Weekend and Weekdays between 9am to 9pm.  If you have any further queries, please do not hesitate to call so that our consultant can provide you with more information over the phone.

Kindly visit our website www.cybermodo.com for IT and www.cybermodo.netfor Management for more details and you can also chat live with our online professionals to help you choose the right course for you. 

To protect your investment - we have a course retake guarantee... so there is absolutely no risk to you. 

Course Details

Certificate Program in Data Visualization is one of the key requisites in any large organization. The time is at its best for someone to take up a career in this domain. Enormous opportunities and extreme dearth in getting candidates force large organizations go helter-skelter. It is imperative that career seekers grab this opportunity. Learners are required to complete 3 months of faculty led Online mode. The following are the subjects covered

• Data Visualization with Tableau
• Need for visualizing data
• Research methodologies
• Importance of Big data visualization
• Tableau product offerings
• Installation of Tableau Public
• Working with Tableau - Live Case study/Discussion
• Creating interactive dashboards with Tableau Public
• Case study discussion
• Story Boarding with Tableau Public
• Case study discussion
• Geomapping in Tableau
• Qlik view – Basics
• Google charts – Basics
• Dynamic charts with Google Docs
• Supplementary material & Case study discussion
• Closing session & Queries

This program is brought to you by Praxis B school

Course Details

Certificate program in business analytics is one of the key requisites in any large organization. The time is at its best for someone to take up a career in this domain. Enormous opportunities and extreme dearth in getting candidates force large organizations go helter-skelter. It is imperative that career seekers grab this opportunity. Learners are required to complete 3 months of faculty led Online mode. The following are the subjects covered  

• Big Data 101
• Big Data Characteristics
• Big Data and Business
• Data Relationships and Data Model
• Data Grouping
• Clustering Algorithms
• Getting ready for Clustering Algorithms
• Clustering Algorithms – UPGMA, single Link Clustering
• KPIs, Businesses & Data Elements
• Mapping for business outcomes
• Basic Query
• Advanced Query – Embedding
• Mathematics Modelling
• Introduction to key mathematical concepts
• Application of eigenvalues and eigenvectors
• Application of the graph Laplacian
• Application of PCA and SVD
• Coding in DB Environment
• Making Data Sets

• R Programming
• R Programming
• Introduction to R – I
• Introduction to R – II
• Common Data Structures in R
• Conditional Operation and Loops
• Looping in R using Apply Family Functions
• Creating User Defined Functions in R
• Graphics with R
• Advanced Graphics with R

• Statistics 101
• Introduction to Statistics
• Introduction to Statistics – II
• Measures of Central Tendency, Spread and Shape – I
• Measures of Central Tendency, Spread and Shape – II
• Measures of Central Tendency, Spread and Shape – III

• Statistics with R
• Introduction to Data
• Introduction to Probability
• Distributions
• Introduction to linear regression
• Foundations for inference and estimation
• Foundations for inference and hypothesis testing
• Linear Regression and Multiple Regression

• Data Visualization with Tableau
• Need for visualizing data
• Research methodologies
• Importance of Big data visualization
• Tableau product offerings
• Installation of Tableau Public
• Working with Tableau - Live Case study/Discussion
• Creating interactive dashboards with Tableau Public
• Case study discussion
• Story Boarding with Tableau Public
• Case study discussion
• Geomapping in Tableau
• Qlik view – Basics
• Google charts – Basics
• Dynamic charts with Google Docs
• Supplementary material & Case study discussion
• Closing session & Queries

Companies both large and small are scrambling to hire qualified individuals with a plethora of data literacy skills.  This makes now the perfect time for the candidates to take advantage of rewarding career opportunities in developing technical solutions, analyzing & documenting requirements, managing and communication, devising solutions and blending business with technology.

Course Details

Certificate Program in Big Data Technologies is one of the key requisites in any large organization. The time is at its best for someone to take up a career in this domain. Enormous opportunities and extreme dearth in getting candidates force large organizations go helter-skelter. It is imperative that career seekers grab this opportunity. Learners are required to complete 3 months of faculty led Online mode. The following are the subjects Big Data 101 Big Data Characteristics Big Data and Business Data Relationships and Data Model Data Grouping Clustering Algorithms Getting ready for Clustering Algorithms Clustering Algorithms – UPGMA, single Link Clustering KPIs, Businesses & Data Elements Mapping for business outcomes Basic Query Advanced Query – Embedding Mathematics Modelling Introduction to key mathematical concepts Application of eigenvalues and eigenvectors Application of the graph Laplacian Application of PCA and SVD Coding in DB Environment Making Data Sets R Programming R Programming Introduction to R – I Introduction to R – II Common Data Structures in R Conditional Operation and Loops Looping in R using Apply Family Functions Creating User Defined Functions in R Graphics with R Advanced Graphics with R Hadoop Introduction to Big Data and Hadoop Introduction to DBMS systems using MySQL Big Data and Hadoop EcoSystem HDFS Unix & HDFS Hands-on Map-Reduce basics Map Reduce Advanced Topics and Hands on Pig introduction and Hands on Pig Scripting Hive Introduction, Metastore, Limitations of Hive Comparison with Traditional Database and HIVE scripting Hive Data Types, Partitioning and Bucketing Hive Tables (Managed and External) Hive Continued Scoop Introduction and Hands-on Introduction to NoSql and HBASE HBASE architecture and Hands-on Big Data with Spark and Python The job market for candidates with Hadoop skills is revealing. The course enables candidates to build their career in Software Development, Testing, Administration, Building Data, Processing Systems and Data Warehousing.

This course is brought to you by Praxis B school

Course Details

Microsoft Publisher will teach you how to use the features of Microsoft Publisher, from basic to advanced.  Microsoft Publisher is an easy-to-use program that produces stunning, professional results. It is a layout and design tool used to create documents that fall outside of normal word processor capabilities, such as flyers, catalogs, bulletins and posters. Whether you are new to Microsoft Publisher or looking to learn tips and tricks, New Horizons has the class you need. 

Course Details

MS Project 2010 and 2013 training, online or on-site, with hands-on exercises and guided demonstrations that include live instructor, online boot camp training, exam study sessions, certification study guide, and practical advice to planning and managing projects.

Course Details

Our Microsoft Office 2013 training includes a variety of courses designed to teach individuals of all skill levels about using all of the Office 2013 programs. Our instructor led training is offered by certified instructors to professionals and individuals as well as corporate and government customers. With our MS Office 2013 training, individuals can improve their skills and knowledge for all of the latest Office 2013 programs. 

Course Details

This course teaches the implementation and development aspects of Microsoft SQL Server. It covers the implementation of databases and database objects as well as tools and features used for development in SQL Server. In each topic, the students will learn the best practices as well as performance and optimization considerations. Throughout the course the students will practice each topic learned.

Course Details

This course teaches the implementation and development aspects of Microsoft SQL Server. It covers the implementation of databases and database objects as well as tools and features used for development in SQL Server. In each topic, the students will learn the best practices as well as performance and optimization considerations. Throughout the course the students will practice each topic learned.

Course Details

Windows 8 is a sleeker, faster Windows with performance and productivity enhancements throughout. But, just deploying the OS doesn't necessarily mean you'll see the same increase in productivity in your workforce. That's why you invest in Windows 7 training. This Windows 7 Training course was designed to appeal to both new and experienced Windows 8 users. We don't know how many new Windows users are left out there, but surely there's a few.

Course Details

Windows 8 is a sleeker, faster Windows with performance and productivity enhancements throughout. But, just deploying the OS doesn't necessarily mean you'll see the same increase in productivity in your workforce. That's why you invest in Windows 7 training. This Windows 7 Training course was designed to appeal to both new and experienced Windows 8 users. We don't know how many new Windows users are left out there, but surely there's a few.

Course Details

Windows 7 is a sleeker, faster Windows with performance and productivity enhancements throughout. But, just deploying the OS doesn't necessarily mean you'll see the same increase in productivity in your workforce. That's why you invest in Windows 7 training. This Windows 7 Training course was designed to appeal to both new and experienced Windows 7 users. We don't know how many new Windows users are left out there, but surely there's a few.

Course Details

Master the ultimate collaboration tool for businesses, Microsoft SharePoint Server, with training and certification classes from New Horizons. With a properly deployed system, processes become more secure, are managed through a familiar environment and integrate seamlessly into the collaboration infrastructure. Whether deployed on-premise or as a hosted service, SharePoint’s integrated capabilities make it possible to rapidly respond to critical needs with data-driven business insight.

Course Details

Get trained in Exchange Server technology and gain the skills needed to simplify administration, protect communications and meet user demand for greater business mobility. These courses also prepare you for certification on Microsoft Exchange.

Course Details

The Microsoft Dynamics CRM Marketplace helps you discover innovative applications and professional services from Microsoft partners worldwide. Find expert help, download applications and tailor Microsoft Dynamics to improve productivity and build your business.

Course Details

Accelebrate's Introduction to Windows Azure Development training class teaches developers to use Azure™, Microsoft’s cloud platform for building scalable applications. Students also learn to use SQL Azure™ (for scaling SQL Server in the cloud) and Windows Azure AppFabric (a set of services supporting applications in the cloud and at customers’ sites).

Course Details

Cisco Certified Network Professional (CCNP) Routing and Switching certification validates the ability to plan, implement, verify and troubleshoot local and wide-area enterprise networks and work collaboratively with specialists on advanced security, voice, wireless and video solutions. The CCNP Routing and Switching certification is appropriate for those with at least one year of networking experience who are ready to advance their skills and work independently on complex network solutions. Those who achieve CCNP Routing and Switching certification have demonstrated the skills required in enterprise roles such as network engineer, support engineer, systems engineer or network technician. The routing and switching protocol knowledge from this certification will provide a lasting foundation as these skills are equally relevant in the physical networks of today and the virtualized network functions of tomorrow.