Business Intelligence Analyst – Power BI ,Tableau

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.7 GB
  • Uploaded Bytutsnode
  • Downloads201
  • Last checkedSep. 10th '21
  • Date uploadedSep. 06th '21
  • Seeders 27
  • Leechers7

Infohash : 676B60028718C35F86B2A20E0A28A41D4AAD4EA1


Description

Business intelligence (BI) helps organizations analyse historical and current data, so they can quickly uncover actionable insights for making strategic decisions.

Business intelligence tools make this possible by processing large data sets across multiple sources and presenting findings in visual formats that are easy to understand and share.

Business intelligence systems combine data gathering, data storage, and knowledge management with data analysis to evaluate and transform complex data into meaningful, actionable information, which can be used to support more effective strategic, tactical, and operational insights and decision-making.

Business intelligence environments consist of a variety of technologies, applications, processes, strategies, products, and technical architectures used to enable the collection, analysis, presentation, and dissemination of internal and external business information.

How business intelligence works

There are four keys steps that business intelligence follows to transform raw data into easy-to-digest insights for everyone in the organization to use. The first three—data collection, analysis, and visualization—set the stage for the final decision-making step. Before using BI, businesses had to do much of their analysis manually, but BI tools automate many of the processes and save companies time and effort.

Step 1: Collect and transform data from multiple sources

Business intelligence tools typically use the extract, transform, and load (ETL) method to aggregate structured and unstructured data from multiple sources. This data is then transformed and remodelled before being stored in a central location, so applications can easily analyse and query it as one comprehensive data set.

Step 2: Uncover trends and inconsistencies

Data mining, or data discovery, typically uses automation to quickly analyse data to find patterns and outliers which provide insight into the current state of business. BI tools often feature several types of data modelling and analytics—including exploratory, descriptive, statistical, and predictive—that further explore data, predict trends, and make recommendations.

Step 3: Use data visualization to present findings

Business intelligence reporting uses data visualizations to make findings easier to understand and share. Reporting methods include interactive data dashboards, charts, graphs, and maps that help users see what’s going on in the business right now.

Step 4: Take action on insights in real time

Viewing current and historical data in context with business activities gives companies the ability to quickly move from insights to action. Business intelligence enables real time adjustments and long-term strategic changes that eliminate inefficiencies, adapt to market shifts, correct supply problems, and solve customer issues.

Power BI is a collection of software services, apps, and connectors that work together to turn your

unrelated sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet,

or a collection of cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources,

visualize and discover what’s important, and share that with anyone or everyone you want.

Power BI consists of several elements that all work together, starting with these three basics:

A Windows desktop application called Power BI Desktop.
An online SaaS (Software as a Service) service called the Power BI service.
Power BI mobile apps for Windows, iOS, and Android devices.

Tableau is a data visualization and business intelligence tool used for reporting and analysing vast volumes of data.

It helps users create different charts, graphs, maps, dashboards, and stories for visualizing and analysing data, to help in making business decisions.

It can connect to several data sources . Tableau enables users to create reports by joining and blending different datasets
Who this course is for:

Beginner Data Analyst
Beginner BI Analyst
Beginner Data Engineers
Beginner Data Scientist

Requirements

A computer and internet access required

Last Updated 8/2021

Files:

Business Intelligence Analyst - Power BI ,Tableau [TutsNode.com] - Business Intelligence Analyst - Power BI ,Tableau 03 Data Analysis & Visualization with Power BI
  • 022 AccessDatabasePowerBI.zip (97.9 MB)
  • 024 AccessDatabasePowerBI.zip (97.9 MB)
  • 008 Importing and transforming data from access database file.en.srt (16.3 KB)
  • 020 Appending queries.en.srt (8.3 KB)
  • 008 Importing and transforming data from access database file.mp4 (79.2 MB)
  • 003 Cleaning and transforming data - Part 2.mp4 (78.0 MB)
  • 009 Changing the Locale.en.srt (2.0 KB)
  • 040 SalesByCountry.xlsx (32.2 KB)
  • 024 Transforming less structured data - Part 2.en.srt (12.4 KB)
  • 003 Cleaning and transforming data - Part 2.en.srt (11.8 KB)
  • 023 Transforming less structured data - Part 1.en.srt (11.5 KB)
  • 026 Query parameters.en.srt (11.4 KB)
  • 019 Connecting to files in folder.en.srt (9.3 KB)
  • 024 Transforming less structured data - Part 2.mp4 (59.3 MB)
  • 037 Multi-Level-Spreadsheet.xlsx (8.7 KB)
  • 010 Connecting to Microsoft Access Database File.en.srt (8.3 KB)
  • 004 Combining Data Sources.en.srt (8.2 KB)
  • 016 Removing and re-ordering columns.en.srt (8.0 KB)
  • 011 Power query editor and queries.en.srt (7.4 KB)
  • 018 Creating conditional columns.en.srt (7.2 KB)
  • 002 Cleaning and transforming data - Part 1.en.srt (7.2 KB)
  • 014 Splitting columns.en.srt (6.9 KB)
  • 005 Creating Visualization - Part 1.en.srt (6.8 KB)
  • 015 Changing data types.en.srt (6.7 KB)
  • 006 Creating Visualization - Part 2.en.srt (6.7 KB)
  • 021 Merge queries.en.srt (6.5 KB)
  • 007 Publishing reports to Power BI Service.en.srt (5.5 KB)
  • 012 Creating and managing query groups.en.srt (5.4 KB)
  • 013 Renaming queries.en.srt (5.4 KB)
  • 001 Connecting to web data.en.srt (5.3 KB)
  • 022 Query dependency view.en.srt (4.9 KB)
  • 025 Creating tables.en.srt (4.7 KB)
  • 017 Duplicating and adding columns.en.srt (4.1 KB)
  • 023 Transforming less structured data - Part 1.mp4 (55.1 MB)
  • 016 Removing and re-ordering columns.mp4 (51.6 MB)
  • 026 Query parameters.mp4 (49.1 MB)
  • 019 Connecting to files in folder.mp4 (47.1 MB)
  • 018 Creating conditional columns.mp4 (46.3 MB)
  • 020 Appending queries.mp4 (45.6 MB)
  • 004 Combining Data Sources.mp4 (44.2 MB)
  • 014 Splitting columns.mp4 (41.1 MB)
  • 011 Power query editor and queries.mp4 (40.6 MB)
  • 010 Connecting to Microsoft Access Database File.mp4 (38.9 MB)
  • 015 Changing data types.mp4 (38.5 MB)
  • 002 Cleaning and transforming data - Part 1.mp4 (37.8 MB)
  • 021 Merge queries.mp4 (36.8 MB)
  • 006 Creating Visualization - Part 2.mp4 (35.3 MB)
  • 013 Renaming queries.mp4 (32.3 MB)
  • 007 Publishing reports to Power BI Service.mp4 (29.7 MB)
  • 022 Query dependency view.mp4 (28.8 MB)
  • 012 Creating and managing query groups.mp4 (27.3 MB)
  • 001 Connecting to web data.mp4 (26.7 MB)
  • 017 Duplicating and adding columns.mp4 (24.4 MB)
  • 025 Creating tables.mp4 (15.8 MB)
  • 009 Changing the Locale.mp4 (10.6 MB)
  • 005 Creating Visualization - Part 1.mp4 (9.5 MB)
  • 033 International.rar (5.5 MB)
01 Power BI Setup
  • 001 Introduction.en.srt (0.5 KB)
  • 002 Office 365 Setup.en.srt (8.9 KB)
  • 005 Installing Power BI Desktop.en.srt (8.8 KB)
  • 006 Power BI Desktop Tour.en.srt (7.7 KB)
  • 003 What is Power BI.en.srt (5.6 KB)
  • 004 What is Power BI Desktop.en.srt (3.4 KB)
  • 002 Office 365 Setup.mp4 (38.1 MB)
  • 005 Installing Power BI Desktop.mp4 (37.4 MB)
  • 006 Power BI Desktop Tour.mp4 (37.4 MB)
  • 003 What is Power BI.mp4 (35.3 MB)
  • 004 What is Power BI Desktop.mp4 (11.7 MB)
  • 001 Introduction.mp4 (1.5 MB)
06 Data Analysis & Visualization with Tableau
  • 076 Split.twbx (95.2 KB)
  • 010 Join related data sources.en.srt (10.2 KB)
  • 071 DifferentNames.xlsx (294.8 KB)
  • 014 Re-order fields in visualization.en.srt (4.7 KB)
  • 080 Tab+color.twbx (491.7 KB)
  • 077 Storylines.twbx (518.6 KB)
  • 070 JoinExamples.xlsx (294.7 KB)
  • 004 Tableau Public Desktop Overview - Part 2.en.srt (9.6 KB)
  • 018 Add duplicate and rename worksheet.en.srt (5.7 KB)
  • 079 reorder.twbx (495.5 KB)
  • 011 Join data sources with inconsistent fields.en.srt (7.4 KB)
  • 003 Tableau Public Desktop Overview - Part 1.en.srt (7.1 KB)
  • 017 Presenting data using stories.en.srt (7.1 KB)
  • 012 Data Cleaning.en.srt (6.6 KB)
  • 013 Exploring Tableau Interface.en.srt (5.6 KB)
  • 010 Join related data sources.mp4 (57.0 MB)
  • 069 SampleData.xlsx (485.0 KB)
  • 072 CleanData.xlsx (484.7 KB)
  • 001 What is Tableau.en.srt (5.4 KB)
  • 016 Splitting text into multiple columns.en.srt (5.1 KB)
  • 009 Connecting to a data source.en.srt (4.1 KB)
  • 019 Re-order clear and delete worksheet.en.srt (3.9 KB)
  • 007 Tableau File Types.en.srt (3.7 KB)
  • 015 Change Summary.en.srt (3.2 KB)
  • 005 Tableau Online.en.srt (3.2 KB)
  • 006 Tableau Data Sources.en.srt (2.6 KB)
  • 002 Tableau Public Desktop.en.srt (1.9 KB)
  • 020 Changing worksheet tab color.en.srt (1.7 KB)
  • 008 Tableau Help Menu.en.srt (1.6 KB)
  • 078 Worksheets.twbx (475.6 KB)
  • 004 Tableau Public Desktop Overview - Part 2.mp4 (50.0 MB)
  • 012 Data Cleaning.mp4 (46.8 MB)
  • 011 Join data sources with inconsistent fields.mp4 (37.4 MB)
  • 003 Tableau Public Desktop Overview - Part 1.mp4 (32.7 MB)
  • 013 Exploring Tableau Interface.mp4 (30.5 MB)
  • 017 Presenting data using stories.mp4 (29.1 MB)
  • 014 Re-order fields in visualization.mp4 (29.1 MB)
  • 018 Add duplicate and rename worksheet.mp4 (25.0 MB)
  • 001 What is Tableau.mp4 (21.8 MB)
  • 016 Splitting text into multiple columns.mp4 (18.5 MB)
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