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

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9:11:06

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  • 1. Introduction.mp4
    00:20
  • 2. What is SQL Server.mp4
    02:57
  • 3. What is SQL.mp4
    03:38
  • 4. SQL Server Editions.mp4
    04:45
  • 5. Download SQL Server.mp4
    04:31
  • 6. Install SQL Server.mp4
    09:43
  • 7. Install SSMS.mp4
    05:48
  • 8. Connect SSMS to SQL Server.mp4
    07:46
  • 9. Install sample database.mp4
    06:28
  • 10. Create database.mp4
    00:32
  • 1. What is Visual Studio.mp4
    04:32
  • 2. Installing Visual Studio.mp4
    08:15
  • 3. Installing SSDT.mp4
    04:09
  • 4. Installing SSDT Templates.mp4
    06:21
  • 1. Data Preparation.mp4
    08:36
  • 2. Importing datasets into database.mp4
    07:31
  • 3. How many continents do we have data for.mp4
    04:52
  • 4. What is possibility of dying from COVID.mp4
    06:38
  • 5. What percentage of the population is infected with COVID.mp4
    05:00
  • 6. What countries has highest COVID infection per population.mp4
    05:40
  • 7. What countries has highest death from COVID.mp4
    04:58
  • 8. What continent has highest deaths from COVID.mp4
    02:50
  • 9. What are the global COVID cases and death.mp4
    03:23
  • 10. What number of people have been vaccinated against COVID.mp4
    10:13
  • 11. Analyse data with SQL CTE.mp4
    05:43
  • 12. Using temporary tables for data exploration.mp4
    06:17
  • 13. Using views for data exploration.mp4
    03:45
  • 1. What is SSRS.mp4
    00:30
  • 2. Create a report server project.mp4
    02:05
  • 3. Create a report definition file.mp4
    01:56
  • 4. Configure a data source for report.mp4
    02:32
  • 5. Define a dataset for report.mp4
    04:51
  • 6. Add a table to report.mp4
    03:33
  • 7. Format the report.mp4
    04:43
  • 8. Grouping data in report.mp4
    03:50
  • 9. Adding totals to the report.mp4
    04:38
  • 10. Previewing report.mp4
    00:54
  • 11. Exporting report.mp4
    00:49
  • 1. What is SSAS.mp4
    00:25
  • 2. Installing SSAS.mp4
    08:07
  • 3. Connecting to SSAS.mp4
    01:27
  • 4. Create a tabular model project.mp4
    02:30
  • 5. Explore tabular model authoring.mp4
    04:16
  • 6. Create a connection to data source.mp4
    02:42
  • 7. Transform and import data.mp4
    07:10
  • 8. Mark as date table.mp4
    01:34
  • 9. Create table relationships.mp4
    06:26
  • 10. Create calculated columns part 1.mp4
    07:55
  • 11. Create calculated columns part 2.mp4
    03:24
  • 12. Creating measures Part 1.mp4
    05:47
  • 13. Creating measures Part 2.mp4
    03:44
  • 14. Creating measures Part 3.mp4
    03:13
  • 15. Create key performance indicators.mp4
    05:00
  • 16. Create perspectives.mp4
    02:07
  • 17. Create hierarchies part 1.mp4
    03:19
  • 18. Create hierarchies part 2.mp4
    05:31
  • 19. What are partitions.mp4
    01:51
  • 20. Creating partitions.mp4
    10:10
  • 21. Creating roles.mp4
    07:06
  • 22. Analyse in excel.mp4
    03:35
  • 23. Deploy your model.mp4
    03:11
  • 24. Analyse Model.mp4
    06:46
  • 1. What is Power BI.mp4
    05:47
  • 2. What is Power BI Desktop.mp4
    03:40
  • 3. Install Power BI Desktop.mp4
    02:55
  • 4. Explore Power BI interface.mp4
    05:02
  • 5. Microsoft 365 setup.mp4
    03:43
  • 6. Exploring Microsoft 365.mp4
    04:04
  • 7. Add users to Microsoft 365.mp4
    02:54
  • 1. Power BI Overview Part 1.mp4
    04:24
  • 2. Power BI Overview Part 2.mp4
    04:05
  • 3. Power BI Overview Part 3.mp4
    04:49
  • 4. Components of Power BI.mp4
    02:57
  • 5. Building blocks of Power BI.mp4
    09:31
  • 6. Power BI Apps.mp4
    03:56
  • 1. Connect to data source.mp4
    05:07
  • 2. Clean and transform data part 1.mp4
    07:12
  • 3. Clean and transform data part 2.mp4
    09:45
  • 4. Combine data sources.mp4
    07:59
  • 5. Creating visuals Part 1.mp4
    06:09
  • 6. Creating visuals Part 2.mp4
    05:23
  • 7. Publishing report to Power BI Service.mp4
    04:47
  • 1. Connect Power BI to SQL Server.mp4
    07:15
  • 2. What is PostgreSQL.mp4
    01:41
  • 3. Install PostgreSQL.mp4
    10:46
  • 4. Connect to PostgreSQL.mp4
    09:35
  • 5. Install sample database into PostgreSQL.mp4
    11:49
  • 6. Connect Power BI to PostgreSQL Part 1.mp4
    03:28
  • 7. Connect Power BI to PostgreSQL Part 2.mp4
    05:00
  • 1. Importing Microsoft Access Database File.mp4
    12:58
  • 2. Change locale settings.mp4
    01:47
  • 3. Connect to data source.mp4
    07:09
  • 4. Power Query Editor and queries.mp4
    06:49
  • 5. Create and manage query groups.mp4
    04:35
  • 6. Rename queries.mp4
    04:54
  • 7. Splitting columns.mp4
    07:06
  • 8. Changing data types.mp4
    05:47
  • 9. Removing & reordering columns.mp4
    06:54
  • 10. Duplicating and adding columns.mp4
    03:31
  • 11. Creating conditional columns.mp4
    06:18
  • 12. Connecting to files in folder.mp4
    07:17
  • 13. Appending queries.mp4
    06:58
  • 14. Merge queries.mp4
    05:35
  • 15. Query dependency view.mp4
    04:32
  • 16. Transform less structure data.mp4
    09:10
  • 17. Create tables.mp4
    03:47
  • 18. Query Parameters.mp4
    09:28
  • Description


    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

    Who is this for?


  • Beginner data analyst
  • Beginner data scientist
  • What You Need to Know?


  • Basic knowledge of Excel advised
  • Basic knowledge of database concepts advised
  • Basic knowledge of SQL advised
  • More details


    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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    We are experienced company that provides quality video based training .Our courses are easy to follow and understand and will take you froman absolute beginner with no technical skills to being efficient and confident with various technical skill like SQL and databases.We have worked with companies of various sizes and provided consultancy services at various levels.Thank you for learning with us and we hope your experience will be pleasant.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 107
    • duration 9:11:06
    • English subtitles has
    • Release Date 2024/02/14