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PL-300: Microsoft Power BI Data Analyst
Course Description: This course will discuss the various methods and …
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
Advanced Architecting on AWS
Course Description Learn how to build complex solutions that incorporate …
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
55232-A: Writing Analytical Queries for Business Intelligence
Course Description: This three-day instructor led course is about writing …
What you'll learn
Identify independent and dependent variables and measurement levels in their own analytical work scenarios.
Identify variables of interest in relational database tables.
Choose a data aggregation level and data set design appropriate for the intended analysis and tool.
Use TSQL SELECT queries to produce ready-to-use data sets for analysis in tools such as PowerBI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others.
Create stored procedures, views, and functions to modularize data retrieval code.
Describe the purpose of analytical queries
Describe the function of TSQL data retrieval in an analytics/business intelligence environment
Describe the primary functions of the database engine
Discuss TSQL as a declarative language
Identify variables of interest in database tables
Write basic SELECT queries
Implement column expressions in SELECT queries
Implement column and table aliases
Describe data types and Implement data type conversions
Implement built-in functions
Use WHERE and ORDER BY clauses in SELECT queries
Discuss and describe the conceptual flow of JOIN operations
Implement INNER and OUTER JOIN operations on two or more tables
Describe the order of operations of SELECT clauses
Combine JOIN operations with WHERE and ORDER BY
Describe the row granularity of result sets
Discuss and implement aggregate functions to achieve required row granularity
Use GROUP BY to calculate aggregate values for groups
Use HAVING to filter records in the result set by aggregate value
Combine GROUP BY and HAVING with WHERE and ORDER BY
Describe and discuss the rationale of creating intermediate results sets within SELECT queries
Implement non-correlated and correlated subqueries
Implement derived tables
Implement Common Table Expressions
Create intermediate to advanced TSQL queries to retrieve result sets for analysis
Identify scenarios in which views, table-valued functions, and stored procedures simply data retrieval
Compare and contrast views, table-valued functions, and stored procedures
Create views, table-valued functions, and stored procedures
Describe the security requirement for creating database objects
Implement views, table-valued functions, and stored procedures for users with read-only access to source data
Describe the properties of database connection strings
Run queries from, and return results to, Excel, PowerBI, and RStudio
Export query results to external text files using the SSMS results pane, the bcp utility, and the Import/Export Wizard
Tableau Desktop Level 1: Introduction for Novice Users
Course Description Tableau has for some time been one of …
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