Whether you are an HR professional, a medical lab scientists, a researcher or a business owner you can determine different ways through which you can make good strides to achieve positive results in your line of profession by utilizing and optimizing your Data.
Understanding how to visualize data shows you how to make sense of your data, present clear evidence of your findings, and tell engaging stories all through data graphics.
You will discover the concepts of data analytics, the role of a data analyst, and the tools that are used to perform daily functions.
You will gain understanding of the data ecosystem and the fundamentals of data analytics, such as data gathering & data mining.
You will then learn the soft skills that are required to effectively communicate your data to stakeholders, and how mastering these skills can give you the option to become a data driven decision maker.
In addition you will learn how to clean, analyze, and share your data with the use of visualizations and dashboard tools.
By the end of this course you will be able to carry out data process, present your data using graphics, understand the different career paths that are available for data analytics, and explore the many resources available for mastering this profession.
Course Outline
Prepare The Data
Get Data From Different Data Sources
Identify and connect to a data source
Change data source settings
Select a shared dataset or create a local dataset
Select a storage mode
Choose an appropriate query type
Identify query performance issues
Use Microsoft data verse
Use parameters
Use or create a PBIDS file use or create a data flow
Connect to a dataset using the XMLA endpoint
Profile The Data
Identify data anomalies
Examine data structures
Interrogate column properties
Interrogate data statistics
Clean, Transform, And Load The Data
Resolve inconsistencies, unexpected or null values, and data quality issues
Apply user-friendly value replacements
Identify and create appropriate keys for joins
Evaluate and transform column data types
Apply data shape transformations to table structures
Combine queries
Apply user-friendly naming conventions to columns and queries
Leverage advanced editor to modify Power Query M code
Configure data loading
Resolve data import errors
Model The Data
Design A Data Model
Define the tables
Configure table and column properties
Define quick measures
Flatten out a parent-child hierarchy
Define role-playing dimensions
Define a relationship’s cardinality and cross-filter direction
Design the data model to meet performance requirements
Resolve many-to-many relationships
Create a common date table
Define the appropriate level of data granularity
Develop A Data Model
Apply cross-filter direction and security filtering
Duration: 3 WEEKS Time frame: MONDAYS – FRIDAYS (7PM – 9PM) Overall Time frame: 60 hours Course inclusion: How to use the tool, Hands-on project, Mentorship with industry experts and Examination preparations (Practice questions)
