SQL & Power BI Data Analyst: MS SQL | SSRS | SSAS | Power BI
Published 05/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 107 lectures (9h 11m) | Size: 3.4 GB
Perform Data Analyst Tasks using SQL and Power BI
Perform data exploration and analysis with SQL
Write SQL Queries to explore and analyse data
Write SQL CTE queries to extract and query data
Write SQL temporary table queries to extract and query data
Connect to multiple data sources with Power BI
Clean and transform data with Power BI
Create visualizations with Power BI
Create Dashboards with Power BI
Create Reports with SQL Server Reporting Services - SSRS
Create and analyse tabular data models with SQL Server Analysis Services - SSAS
Requirements
Basic knowledge of Excel advised
Basic knowledge of database concepts advised
Basic knowledge of SQL advised
Description
Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
Data analysts are in high demand across all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government and education.
The ability to pay attention to detail, communicate well and be highly organised are essential skills for data analysts. They not only need to understand the data, but be able to provide insight and analysis through clear visual, written and verbal communication.
You can work across a range of areas, including: Types of data analyst
data assurance
business intelligence
data quality
Finance
higher education
marketing
sales.
Some responsibilities of a data analyst includes
Developing records management processes and policies
identify areas to increase efficiency and automation of processes
set up and maintain automated data processes
identify, evaluate and implement external services and tools to support data validation and cleansing
produce and track key performance indicators
develop and support reporting processes
monitor and audit data quality
liaise with internal and external clients to fully understand data content
gather, understand and document detailed business requirements using appropriate tools and techniques
design and carry out surveys and analyse survey data
manipulate, analyse and interpret complex data sets relating to the employer's business
prepare reports for internal and external audiences using business analytics reporting tools
create data dashboards, graphs and visualisations
provide sector and competitor benchmarking
mine and analyse large datasets, draw valid inferences and present them successfully to management using a reporting tool
In this course we will perform some task of an SQL and Power BI Data Analyst . We will connect to a variety of data sources, perform data transformation ,cleaning and exploration . We will create dashboards to visual data . We will also create reports using SQL Server Reporting Services (SSRS) and also create then analyse tabular data model using SQL Server Analysis Services (SSAS).
Who this course is for
Beginner data analyst
Beginner data scientist
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