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Power BI is a data visualization and business intelligence tool from Microsoft. It allows users to connect to, visualize, and share data through interactive dashboards and reports. It provides insights for decision-making and helps organizations to make data-driven decisions. Complete the course to get an assured job with an average salary of 6.5 LPA.


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POWER BI/ TABLEAU

Category: Data Analyst/Visualization

About Power-BI & Tableau

Power BI is a business analytics service provided by Microsoft. It allows users to create interactive data visualizations, dashboards, and reports that can be shared with others within an organization.

Power BI integrates with a wide range of data sources, including Excel, SQL Server, and cloud-based services such as Azure and Salesforce. This allows users to pull in data from various sources and combine it in a single location.

The service includes a range of tools for data preparation, transformation, and modelling, as well as a set of pre-built connectors that make it easy to connect to common data sources. Users can also build custom connectors if needed.

Once data is loaded into Power BI, users can use the service's visual analytics tools to create charts, graphs, maps, and other types of data visualizations. These visualizations can be combined into dashboards that provide an at-a-glance view of key metrics and trends.

Power BI also includes a report building feature that allows users to create more detailed reports that can be shared with others. These reports can be viewed on the web or in a mobile app, and can be embedded in other applications or websites.

In addition to its core features, Power BI offers a range of integrations and extensions that allow users to connect to other tools and services. For example, users can integrate Power BI with Azure Machine Learning to build predictive models, or with Microsoft Teams to collaborate on data and insights.

Overall, Power BI is a powerful business analytics service that helps organizations to gain insights from their data and make better informed decisions.

What is Tableau

Tableau is a data visualization and business intelligence platform that allows users to create interactive charts, graphs, maps, and other types of data visualizations. It is designed to help organizations explore, analyze, and communicate their data more effectively.

Tableau integrates with a wide range of data sources, including Excel, SQL databases, and cloud-based services such as Google Analytics and Salesforce. This allows users to pull in data from various sources and combine it in a single location.

Once data is loaded into Tableau, users can use the platform's visual analytics tools to create charts, graphs, maps, and other types of data visualizations. These visualizations can be combined into dashboards that provide an at-a-glance view of key metrics and trends.

Tableau also includes a report building feature that allows users to create more detailed reports that can be shared with others. These reports can be viewed on the web or in a mobile app, and can be embedded in other applications or websites.

In addition to its core features, Tableau offers a range of integrations and extensions that allow users to connect to other tools and services. For example, users can integrate Tableau with R or Python to build predictive models, or with Salesforce to Analyse customer data.

Overall, Tableau is a powerful data visualization and business intelligence platform that helps organizations to gain insights from their data and make better informed decisions.

Power Bi Vs Tableau

Power BI and Tableau are both data visualization tools that can be used to create dashboards and reports to help people understand and analyze data. Some key differences between the two include:

  1. 1. Cost:   Power BI is generally less expensive than Tableau. Power BI has a free version, as well as paid versions that start at $10 per user per month. Tableau has a free version for personal use, but its paid versions start at $70 per user per month.

  2. 2. Ease of use:  Power BI is generally considered to be more user-friendly than Tableau. It has a more intuitive interface and is more suitable for people with little or no technical expertise. Tableau, on the other hand, is more geared towards professional data analysts and requires more technical skills to use effectively.

  3. 3. Data sources:   Both Power BI and Tableau can connect to a wide range of data sources, including Excel, CSV files, and databases. However, Tableau has a larger number of pre-built connectors and is generally considered to be more flexible in terms of the types of data it can connect to.

  4. 4. Visualization capabilities:  Both Power BI and Tableau have a wide range of visualization options. However, some users may find that Tableau has more advanced visualization capabilities and a larger selection of charts and graphs to choose from.

  5. Ultimately, the choice between Power BI and Tableau will depend on your specific needs and requirements. If you are looking for a cost-effective, user-friendly tool for creating dashboards and reports, Power BI may be a good choice. If you are a professional data analyst and need a more powerful tool with advanced visualization capabilities, Tableau may be a better fit.

    How Power Bi Or Tableau Help In Data Analysis

    Both Power BI and Tableau are data visualization tools that can be used to help with data analysis by allowing users to create dashboards, reports, and charts to visualize and understand data.

    They can be used to identify trends, patterns, and outliers in data, as well as to create forecasts and predictions.

    Some specific ways in which Power BI and Tableau can help with data analysis include:

    1.   1.  Providing a range of pre-built connectors to connect to a variety of data sources, including databases, spreadsheets, and cloud-based data sources.

    2.   2.  Allowing users to create and customize dashboards and reports to visualize data in a way that is meaningful and relevant to them.

    3.   3.  Providing a range of visualization options, such as bar charts, line charts, scatter plots, and maps, which can be used to identify patterns and trends in data.

    4.   4.  Offering tools for data modelling and analysis, such as the ability to create calculated fields, set filters, and perform statistical analysis.

    5.   5.  Providing collaboration and sharing features, allowing users to share dashboards and reports with others and collaborate on data analysis projects.

    Overall, Power BI and Tableau can be powerful tools for data analysis, helping users to understand and make sense of large and complex datasets.


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Course Syllabus

    •   SESSION 1: QUICK START POWER BI SERVICE
    • GET POWER BI TOOLS
    • INTRODUCTION TO TOOLS AND TERMINOLOGY
    • DASHBOARD IN MINUTES
    • REFRESHING POWER BI SERVICE DATA
    • INTERACTING WITH YOUR DASHBOARDS
    • SHARING DASHBOARDS AND REPORTS
    •   SESSION 2: GETTING AND TRANSFORMING DATA WITH POWER BI DESKTOP
    • INTRODUCTION TO POWER BI DESKTOP
    • GETTING DATA: EXCEL VS POWER BI DESKTOP & SERVICE
    • NAMING FOR Q&A
    • DIRECTQUERY VS IMPORT DATA
    • RECAP AND WHAT'S NEXT
    •   SESSION 3: MODELING WITH POWER BI
    • INTRODUCTION TO MODELING
    • SETUP AND MANAGE RELATIONSHIPS
    • CARDINALITY AND CROSS FILTERING
    • DEFAULT SUMMARIZATION & SORT BY
    • CREATING CALCULATED COLUMNS
    • CREATING MEASURES & QUICK MEASURES
    • RECAP AND WHAT'S NEXT
    •   SESSION 4: POWER BI DESKTOP VISUALISATIONS
    • CREATING VISUALISATIONS
    • COLOR & CONDITIONAL FORMATTING
    • SETTING SORT ORDER
    • SCATTER & BUBBLE CHARTS & PLAY AXIS
    • SLICERS
    • TOOLTIPS
    • CROSS FILTERING AND HIGHLIGHTING
    • VISUAL, PAGE AND REPORT LEVEL FILTERS
    • DRILL DOWN/UP
    • HIERARCHIES
    • CONSTANT LINES
    • TABLES, MATRICES & TABLE CONDITIONAL FORMATTING
    • KPI'S, CARDS & GAUGES
    • MAP VISUALISATIONS
    • CUSTOM VISUALS
    • MANAGING AND ARRANGING
    • DRILLTHROUGH
    • CUSTOM REPORT THEMES
    • GROUPING AND BINNING
    • BOOKMARKS & BUTTONS
    • DECOMPOSITION TREE
    •   SESSION 5: POWER BI SERVICE VISUALISATION TOOLS
    • INTRODUCTION TO THE POWER BI SERVICE
    • STANDALONE TILES
    • DATA DRIVEN ALERTS (POWER BI PRO/PREMIUM)
    • QUICK AND RELATED INSIGHTS
    •   SESSION 6: PUBLISHING AND SHARING
    • SHARING OPTIONS OVERVIEW
    • PUBLISH FROM POWER BI DESKTOP
    • PUBLISH REPORTS TO WEB
    • SHARING REPORTS & DASHBOARDS (POWER BI PRO/PREMIUM)
    • WORKSPACES (POWER BI PRO/PREMIUM)
    • APPS (POWER BI PRO/PREMIUM)
    • PRINTING, PDFS AND EXPORTING TO POWERPOINT
    • ROW LEVEL SECURITY (POWER BI PRO)
    • EXPORT DATA FROM A VISUALISATION
    •   SESSION 7: REFRESHING DATASETS
    • UNDERSTANDING DATA REFRESH
    • PERSONAL GATEWAY (POWER BI PRO AND 64-BIT WINDOWS)
    • REPLACING A DATASET
    • TROUBLESHOOTING REFRESHING
    •   SESSION 8: POWER BI AND EXCEL TOGETHER
    • OPTIONS FOR PUBLISHING FROM EXCEL
    • IMPORT EXCEL POWER QUERY & POWER PIVOT MODELS
    • ANALYZE IN EXCEL (POWER BI PRO OR PREMIUM)
    • EXCEL PUBLISH: UPLOAD AND EXPORT TO POWER BI
    • SHARING PUBLISHED EXCEL DASHBOARDS (POWER BI PRO OR PREMIUM)

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25/01/2023 11:12:50pm

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