Most popular
PL-900T00: Microsoft Power Platform Fundamentals
What you'll learn
Describe Microsoft Power Platform components
Describe Microsoft Dataverse, Connectors and AI builder
Describe cross-cloud scenarios across M365, Dynamics 365, Microsoft Azure and 3rd party services
Identify benefits and capabilities of Microsoft Power Platform
Identify the basic functionality and business value Microsoft Power Platform components
Implement simple solutions with Power Apps, Power Automate, Power BI, and Power Virtual Agents
Identify when to use each Microsoft Power Platform component application to create business solution
Learn the value of using Microsoft Power Platform to create business solutions
Learn the components and features of Microsoft Power Platform
Descibe the difference between Dataverse and Common Data Model
Explain use cases and limitations of business rules and process flows
Explain what environments, tables, columns, and relationships are in Dataverse
Learn how other organizations digitize their processes using Power Apps
See Power Apps in action and learn options for making your first app
Learn about what Power Apps is and its business value
See how Power Automate works and looks from the user’s perspective
Build a simple flow
Learn the business value and features of Power Automate
See how Power BI works and looks from the user’s perspective
Learn how to build a simple Power BI dashboard
Describe the business value and features of Power BI
Describe the business value and features of Power Virtual Agents
Build a basic chatbot
Learn essential components that make up Power Virtual Agents and chatbots
Advanced Architecting on AWS
What you'll learn
Apply the AWS Well-Architected Framework
Manage multiple AWS accounts for your organization
Connect an on-premises datacenter to the AWS Cloud
Discuss billing implications of connecting multi-region VPCs
Move large data from an on-premises datacenter to AWS
Design large data stores for the AWS Cloud
Understand different architectural designs for scaling a large website
Protect your infrastructure from distributed denial of service (DDOS) attacks
Secure your data on AWS with encryption
Design protection of data at rest and data in transit
Enhance the performance of your solutions
Select the most appropriate AWS deployment mechanism
Analyze and Visualize Data using Tableau
What you'll learn
Basics about Tableau
How to connect, organize and slice data using Tableau
How to use multiple measures in a view
How learners can successfully show the relationship between various numerical values
How to map and customize data
How to view specific data
How to use quick table calculations to analyze the data in Tableau
How to use basic and advanced calculations in Tableau
How to extract data
What Tableau geocoding is
How to create using parameters
How to make dashboards and stories
Using Tableau to generate statistics
Using Tableau for forecasting
How to compare measures
How to assess the quality of data
How to use Tableau to perform exploratory analysis
Best practices while using Tableau
How to design visualizations for presentations
Featured
CompTIA Data+
What you'll learn
CompTIA Data+ gives you the confidence to bring data analysis to life
Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
Mining data
Manipulating data
Visualizing and reporting data
Applying basic statistical methods
Big Data Fundamentals
What you'll learn
Navigate the technology stacks and tools used to work with big data
Establish a common vocabulary on your teams for applying big data practices
Get an overview of how big data technologies work: Apache Hadoop, Spark, Pig, Hive, Sqoop, OOZIE, and FLUME
Design both functional and non-functional requirements for working with big data
Understand common business cases for big data
Differentiate between hype and what’s truly possible
Look at examples of real-world big data use cases
Select initiatives and projects that have high potential to benefit from big data applications
Understand what type of staffing, technical skills, and training is required for projects that incorporate or focus on big data
Featured
Introduction to Hadoop Administration (TTDS6503)
What you'll learn
Understand the benefits of distributed computing
Understand the Hadoop architecture (including HDFS and MapReduce)
Define administrator participation in Big Data projects
Plan, implement, and maintain Hadoop clusters
Deploy and maintain additional Big Data tools (Pig, Hive, Flume, etc.)
Plan, deploy and maintain HBase on a Hadoop cluster
Monitor and maintain hundreds of servers
Pinpoint performance bottlenecks and fix them
Intermediate
Advanced Tableau | Advanced Data Visualization, Calculations, Analytics, Integration with Hadoop (TTDTAB025)
$1,595.00
Advanced Tableau | Advanced Data Visualization, Calculations, Analytics, Integration with Hadoop (TTDTAB025)
What you'll learn
Why Data Visualization is Needed?
Connecting to the databases and make basic charts and graphs.
How to make Advance Charts and Graphs.
Scripting functionality and organizing data for effective results
More advanced visualizations for various analytical requirements
Creating Time based calculations.
Using location analytics capabilities to put geographic and other spatial context to your analysis.
Blending and arranging data from multiple source systems for effective analysis.
How to Integrate Tableau with R and Hadoop, Statistical Analytics, and social media analytics.
Working in real time environment for Tableau Projects leveraging the course mini project.
The requirement and creating various dashboards, story boards, deploying your dashboards for the project.
Introduction to Apache Spark Essentials (TTSK7502)
What you'll learn
The essentials of Spark architecture and applications
How to execute Spark Programs
How to create and manipulate both RDDs (Resilient Distributed Datasets) and UDFs (Unified Data Frames)
How Spark core components come together for complete applications
Tableau Desktop (TTDTAB007)
What you'll learn
Use next-level features within the Tableau interface / paradigm to effectively create powerful, advanced level visualizations
Create advanced calculations including string manipulation, basic arithmetic calculations, custom aggregations and ratios, date math, logic statements and quick table calculations
Use groups, bins, hierarchies, sorts, sets, and filters to create focused, effective and advanced -level visualizations
Use Measure Name and Measure Value fields to create visualizations with multiple measures and dimensions
Share visualizations with others, combining visualizations into Interactive Dashboards and publish them to the web
Represent data visualization (emphasizing advanced skill areas only):
Cross tabs; Heat maps; Distribution charts; Tree maps; Pie charts and bar charts; Dual axis and combo charts with different mark types; Box plots; Highlight tables; Scatter plots
Trending
PL-900T00: Microsoft Power Platform Fundamentals
What you'll learn
Describe Microsoft Power Platform components
Describe Microsoft Dataverse, Connectors and AI builder
Describe cross-cloud scenarios across M365, Dynamics 365, Microsoft Azure and 3rd party services
Identify benefits and capabilities of Microsoft Power Platform
Identify the basic functionality and business value Microsoft Power Platform components
Implement simple solutions with Power Apps, Power Automate, Power BI, and Power Virtual Agents
Identify when to use each Microsoft Power Platform component application to create business solution
Learn the value of using Microsoft Power Platform to create business solutions
Learn the components and features of Microsoft Power Platform
Descibe the difference between Dataverse and Common Data Model
Explain use cases and limitations of business rules and process flows
Explain what environments, tables, columns, and relationships are in Dataverse
Learn how other organizations digitize their processes using Power Apps
See Power Apps in action and learn options for making your first app
Learn about what Power Apps is and its business value
See how Power Automate works and looks from the user’s perspective
Build a simple flow
Learn the business value and features of Power Automate
See how Power BI works and looks from the user’s perspective
Learn how to build a simple Power BI dashboard
Describe the business value and features of Power BI
Describe the business value and features of Power Virtual Agents
Build a basic chatbot
Learn essential components that make up Power Virtual Agents and chatbots
Advanced Architecting on AWS
What you'll learn
Apply the AWS Well-Architected Framework
Manage multiple AWS accounts for your organization
Connect an on-premises datacenter to the AWS Cloud
Discuss billing implications of connecting multi-region VPCs
Move large data from an on-premises datacenter to AWS
Design large data stores for the AWS Cloud
Understand different architectural designs for scaling a large website
Protect your infrastructure from distributed denial of service (DDOS) attacks
Secure your data on AWS with encryption
Design protection of data at rest and data in transit
Enhance the performance of your solutions
Select the most appropriate AWS deployment mechanism
Analyze and Visualize Data using Tableau
What you'll learn
Basics about Tableau
How to connect, organize and slice data using Tableau
How to use multiple measures in a view
How learners can successfully show the relationship between various numerical values
How to map and customize data
How to view specific data
How to use quick table calculations to analyze the data in Tableau
How to use basic and advanced calculations in Tableau
How to extract data
What Tableau geocoding is
How to create using parameters
How to make dashboards and stories
Using Tableau to generate statistics
Using Tableau for forecasting
How to compare measures
How to assess the quality of data
How to use Tableau to perform exploratory analysis
Best practices while using Tableau
How to design visualizations for presentations
Featured
CompTIA Data+
What you'll learn
CompTIA Data+ gives you the confidence to bring data analysis to life
Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
Mining data
Manipulating data
Visualizing and reporting data
Applying basic statistical methods
Big Data Fundamentals
What you'll learn
Navigate the technology stacks and tools used to work with big data
Establish a common vocabulary on your teams for applying big data practices
Get an overview of how big data technologies work: Apache Hadoop, Spark, Pig, Hive, Sqoop, OOZIE, and FLUME
Design both functional and non-functional requirements for working with big data
Understand common business cases for big data
Differentiate between hype and what’s truly possible
Look at examples of real-world big data use cases
Select initiatives and projects that have high potential to benefit from big data applications
Understand what type of staffing, technical skills, and training is required for projects that incorporate or focus on big data
Featured
Introduction to Hadoop Administration (TTDS6503)
What you'll learn
Understand the benefits of distributed computing
Understand the Hadoop architecture (including HDFS and MapReduce)
Define administrator participation in Big Data projects
Plan, implement, and maintain Hadoop clusters
Deploy and maintain additional Big Data tools (Pig, Hive, Flume, etc.)
Plan, deploy and maintain HBase on a Hadoop cluster
Monitor and maintain hundreds of servers
Pinpoint performance bottlenecks and fix them
Intermediate
Advanced Tableau | Advanced Data Visualization, Calculations, Analytics, Integration with Hadoop (TTDTAB025)
$1,595.00
Advanced Tableau | Advanced Data Visualization, Calculations, Analytics, Integration with Hadoop (TTDTAB025)
What you'll learn
Why Data Visualization is Needed?
Connecting to the databases and make basic charts and graphs.
How to make Advance Charts and Graphs.
Scripting functionality and organizing data for effective results
More advanced visualizations for various analytical requirements
Creating Time based calculations.
Using location analytics capabilities to put geographic and other spatial context to your analysis.
Blending and arranging data from multiple source systems for effective analysis.
How to Integrate Tableau with R and Hadoop, Statistical Analytics, and social media analytics.
Working in real time environment for Tableau Projects leveraging the course mini project.
The requirement and creating various dashboards, story boards, deploying your dashboards for the project.
Introduction to Apache Spark Essentials (TTSK7502)
What you'll learn
The essentials of Spark architecture and applications
How to execute Spark Programs
How to create and manipulate both RDDs (Resilient Distributed Datasets) and UDFs (Unified Data Frames)
How Spark core components come together for complete applications
Tableau Desktop (TTDTAB007)
What you'll learn
Use next-level features within the Tableau interface / paradigm to effectively create powerful, advanced level visualizations
Create advanced calculations including string manipulation, basic arithmetic calculations, custom aggregations and ratios, date math, logic statements and quick table calculations
Use groups, bins, hierarchies, sorts, sets, and filters to create focused, effective and advanced -level visualizations
Use Measure Name and Measure Value fields to create visualizations with multiple measures and dimensions
Share visualizations with others, combining visualizations into Interactive Dashboards and publish them to the web
Represent data visualization (emphasizing advanced skill areas only):
Cross tabs; Heat maps; Distribution charts; Tree maps; Pie charts and bar charts; Dual axis and combo charts with different mark types; Box plots; Highlight tables; Scatter plots
Featured Courses
Featured
PL-300: Microsoft Power BI Data Analyst
This course will discuss the various methods and best practices …
Featured
CompTIA Data+
Course Description As the importance of data analytics grows, more …
CompTIA Data+
What you'll learn
CompTIA Data+ gives you the confidence to bring data analysis to life
Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
Mining data
Manipulating data
Visualizing and reporting data
Applying basic statistical methods
All Analytics & BI Courses
Analytics & Business Intelligence Online Training Courses - Live
An organization’s analytics and data management initiatives require a broad range of skills across a broad range of technologies and processes. Our courses are taught by industry experts who bring real-life knowledge and experience to the classroom. They help students:
- visualize critical information
- discover new patterns and trends
- mine and integrate data from disparate sources
- optimize data models
Filter by Topic
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Introduction to Power BI (TTDPB01)
QuickStart to Power BI for Analysts and Users is a …
What you'll learn
Perform Power BI desktop data transformation.
Describe Power BI desktop modelling.
Create a Power BI desktop visualization.
Implement the Power BI service.
Describe how to connect to Excel data.
Shape and Combine Data
Describe how to collaborate with Power BI data.
Connect directly to data stores.
Time Permitting: Explore the Power BI developer API.
Time Permitting: Describe the Power BI mobile app
Next Level Power BI (TTDPB02)
Next Level Power BI for Experienced Users is a two-day …
What you'll learn
Identify and retrieve data from data sources and understand the different connection methods.
Optimize query performance
Profile and examine the data and apply data shape transformations
Develop a scalable and performance data model
Enhance the data model with DAX using measures, calculated columns and tables
Use variables and aggregations to optimize model performance
Design and create reports and dashboards
Select and add appropriate visualizations
Create paginated reports
Perform Advanced Analytics
Create and manage workspaces
Manage datasets and dataset refresh
Apply row-level security
Tableau Server Administration (TTDTAB005)
Tableau Server Administration is a two-day course that provides new …
What you'll learn
User interactions with Tableau Server
Tableau Server components
Single-server installation
Content administration
Authorization and permissions
Users, groups, and sites
Data sources and extracts
Schedules, tasks, and subscriptions
Monitoring server status
Command-line utilities and REST API
Upgrading a single-server installation to a new version
Modifying the authentication method
Tableau Desktop Fundamentals (TTDTAB006)
Tableau Desktop Fundamentals is a two-day, hands-on course designed for …
What you'll learn
Connect to your data, and Edit and save a data source.
Understand Tableau terminology.
Connect to your data, and Edit and save a data source.
Use the Tableau interface / paradigm to effectively create powerful visualizations.
Create basic calculations including string manipulation, basic arithmetic calculations, custom aggregations and ratios, date math, logic statements and quick table calculations.
Represent your data using the following visualization types: Cross Tabs, Geographic Maps, Heat Maps, Distribution Charts, Tree Maps, Pie Charts and Bar Charts, Dual Axis and Combo Charts with different mark types, Box Plots, Highlight Tables, Scatter Plots
Use Reference Lines to highlight elements of your data.
Use groups, bins, hierarchies, sorts, sets, and filters to create focused and effective visualizations
Use Measure Name and Measure Value fields to create visualizations with multiple measures and dimensions.
Handle changes in your data source such as field addition, deletion or name changes.
Share your visualizations with others.
Combine your visualizations into Interactive Dashboards and publish them to the web.
Tableau Desktop (TTDTAB007)
Geared for experienced Tableau, Tableau Desktop II / Intermediate Tableau …
What you'll learn
Use next-level features within the Tableau interface / paradigm to effectively create powerful, advanced level visualizations
Create advanced calculations including string manipulation, basic arithmetic calculations, custom aggregations and ratios, date math, logic statements and quick table calculations
Use groups, bins, hierarchies, sorts, sets, and filters to create focused, effective and advanced -level visualizations
Use Measure Name and Measure Value fields to create visualizations with multiple measures and dimensions
Share visualizations with others, combining visualizations into Interactive Dashboards and publish them to the web
Represent data visualization (emphasizing advanced skill areas only):
Cross tabs; Heat maps; Distribution charts; Tree maps; Pie charts and bar charts; Dual axis and combo charts with different mark types; Box plots; Highlight tables; Scatter plots
Advanced Tableau | Advanced Data Visualization, Calculations, Analytics, Integration with Hadoop (TTDTAB025)
Geared for experienced Tableau users with data analysis background and …
What you'll learn
Why Data Visualization is Needed?
Connecting to the databases and make basic charts and graphs.
How to make Advance Charts and Graphs.
Scripting functionality and organizing data for effective results
More advanced visualizations for various analytical requirements
Creating Time based calculations.
Using location analytics capabilities to put geographic and other spatial context to your analysis.
Blending and arranging data from multiple source systems for effective analysis.
How to Integrate Tableau with R and Hadoop, Statistical Analytics, and social media analytics.
Working in real time environment for Tableau Projects leveraging the course mini project.
The requirement and creating various dashboards, story boards, deploying your dashboards for the project.
Featured
PL-300: Microsoft Power BI Data Analyst
This course will discuss the various methods and best practices …
Featured
CompTIA Data+
Course Description As the importance of data analytics grows, more …
What you'll learn
CompTIA Data+ gives you the confidence to bring data analysis to life
Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
Mining data
Manipulating data
Visualizing and reporting data
Applying basic statistical methods
