Most popular
Splunk Boot Camp
39 Lessons
16 hours
Intermediate
What you'll learn
Splunk essentials
Indexing in Splunk
Splunk architecture and components
Query and search your data
How to create dashboards and visualizations
How to apply alerts
PL-900T00: Microsoft Power Platform Fundamentals
43 Lessons
Intermediate
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
23 Lessons
24 hours
Intermediate
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
Intermediate
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
CompTIA Data+
40 hours
Beginner
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
57 Lessons
16 hours
Intermediate
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
PL-300: Microsoft Power BI Data Analyst
51 Lessons
24 hours
Intermediate
Introduction to Hadoop Administration (TTDS6503)
40 Lessons
24 hours
Intermediate
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
Introduction to Apache Spark Essentials (TTSK7502)
30 Lessons
16 hours
Intermediate
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 Level 1: Introduction for Experienced IT Professionals
32 Lessons
16 hours
Intermediate
What you'll learn
Find out how to build effective visualizations and dashboards
Prepare and clean your data so you can be sure Tableau Desktop is finding answers to your questions – not raising more problems
Discover how to create advanced visualizations that explain complexity with clarity and style
Learn how to use data storytelling to aid decision-making and strategy
Share dashboards and visualizations to cultivate a culture where data is available and valued
Trending
CompTIA Data+
40 hours
Beginner
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
57 Lessons
16 hours
Intermediate
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
PL-300: Microsoft Power BI Data Analyst
51 Lessons
24 hours
Intermediate
Introduction to Hadoop Administration (TTDS6503)
40 Lessons
24 hours
Intermediate
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
Introduction to Apache Spark Essentials (TTSK7502)
30 Lessons
16 hours
Intermediate
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 Level 1: Introduction for Experienced IT Professionals
32 Lessons
16 hours
Intermediate
What you'll learn
Find out how to build effective visualizations and dashboards
Prepare and clean your data so you can be sure Tableau Desktop is finding answers to your questions – not raising more problems
Discover how to create advanced visualizations that explain complexity with clarity and style
Learn how to use data storytelling to aid decision-making and strategy
Share dashboards and visualizations to cultivate a culture where data is available and valued
Hadoop Developer Foundations
103 Lessons
32 hours
Intermediate
What you'll learn
Introduction to Hadoop
HDFS
YARN
Data Ingestion
HBase
Oozie
Working with Hive
Hive advanced
Hive in Cloudera/Hortonworks Distribution (or tools of choice)
Working with Spark
Spark Basics
Spark Shell
RDDs
Spark Dataframes and Datasets
Spark SQL
Spark API programming
Spark and Hadoop
Machine Learning (ML/MLlib)
GraphX
Spark Streaming
Tableau Desktop Level 1: Introduction for Novice Users
52 Lessons
24 hours
Intermediate
What you'll learn
Find out how to build effective visualizations and dashboards
Prepare and clean your data so you can be sure Tableau Desktop is finding answers to your questions – not raising more problems
Discover how to create advanced visualizations that explain complexity with clarity and style
Learn how to use data storytelling to aid decision-making and strategy
Share dashboards and visualizations to cultivate a culture where data is available and valued
Working with Apache Kafka
32 Lessons
16 hours
Intermediate
What you'll learn
Overview of Streaming technologies
Kafka concepts and architecture
Programming using Kafka API
Kafka Streams
Monitoring Kafka
Tuning/Troubleshooting Kafka
Tableau Desktop Level 3: Dashboard Deep Dive
37 Lessons
16 hours
Intermediate
Featured Courses
CompTIA Data+
40 hours
Beginner
Course Description As the importance of data analytics grows, more …
$2,695.00
CompTIA Data+
40 hours
Beginner
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
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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
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We found 1 course available for you
CompTIA Data+
40 hours
Beginner
Course Description As the importance of data analytics grows, more …
$2,695.00
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