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    SQL & Power BI Data Analyst: MS SQL | SSRS | SSAS | Power BI

    Posted By: BlackDove
    SQL & Power BI Data Analyst: MS SQL | SSRS | SSAS | Power BI

    SQL & Power BI Data Analyst: MS SQL | SSRS | SSAS | Power BI
    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

    What you'll learn
    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