❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [October 07th, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)
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 shareBusiness 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 informationHow business intelligence worksThere 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 effortStep 1: Collect and transform data from multiple sourcesBusiness 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 setStep 2: Uncover trends and inconsistenciesData 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 recommendationsStep 3: Use data visualization to present findingsBusiness 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 nowStep 4: Take action on insights in real timeViewing 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 issuesPower 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 spreadsheetor a collection of cloud-based and on-premises hybrid data warehouses Power BI lets you easily connect to your data sourcesvisualize and discover whats important and share that with anyone or everyone you wantPower BI consists of several elements that all work together starting with these three basics:A Windows desktop application called Power BI DesktopAn online SaaS (Software as a Service) service called the Power BI servicePower BI mobile apps for Windows iOS and Android devicesTableau is a data visualization and business intelligence tool used for reporting and analysing vast volumes of dataIt helps users create different charts graphs maps dashboards and stories for visualizing and analysing data to help in making business decisionsIt can connect to several data sources Tableau enables users to create reports by joining and blending different datasets

We considered the value of this course from many aspects, and finally summarized it for you from two aspects: skills and knowledge, and the people who benefit from it:
(Please note that our content is optimized through artificial intelligence tools and carefully reviewed by our editorial staff.)
What skills and knowledge will you acquire during this course?
During this course, the learner will acquire the following skills and knowledge:
1. Understanding of business intelligence (BI) concepts: The learner will gain a comprehensive understanding of what business intelligence is and how it helps organizations analyze historical and current data to uncover actionable insights for strategic decision-making.
2. Proficiency in BI tools: The learner will become proficient in using popular BI tools such as Power BI and Tableau. They will learn how to collect, transform, and analyze data from multiple sources using these tools.
3. Data collection and transformation: The learner will learn the extract, transform, and load (ETL) method to aggregate structured and unstructured data from various sources. They will understand how to transform and remodel the data before storing it in a central location for analysis.
4. Data analysis and visualization: The learner will gain expertise in data mining and data discovery techniques to uncover trends, patterns, and outliers in the data. They will learn how to use data visualization techniques such as interactive dashboards, charts, graphs, and maps to present findings in a visually appealing and easy-to-understand manner.
5. Decision-making based on insights: The learner will understand how to use BI insights to make informed and timely decisions. They will learn how to take action on insights in real-time, enabling companies to adapt to market shifts, correct supply problems, and solve customer issues.
6. Power BI: The learner will gain hands-on experience with Power BI, a collection of software services, apps, and connectors that turn unrelated data sources into coherent and visually immersive insights. They will learn how to connect to data sources, visualize data, and share insights with others.
7. Tableau: The learner will become proficient in using Tableau, a data visualization and business intelligence tool. They will learn how to create different charts, graphs, maps, dashboards, and stories to visualize and analyze data for making business decisions. They will also learn how to connect to various data sources and create reports by joining and blending different datasets.
Who will benefit from this course?
This course on Business Intelligence Analyst - Power BI Tableau will benefit individuals and professionals who are interested in or working in the field of data analysis, business intelligence, and decision-making.
1. Data Analysts: Data analysts will benefit from this course as it will provide them with the necessary skills and knowledge to effectively collect, analyze, and visualize data using Power BI and Tableau. They will learn how to transform raw data from multiple sources into meaningful insights and present them in visually appealing formats.
2. Business Intelligence Professionals: Business intelligence professionals will find this course valuable as it will enhance their understanding of the tools and techniques used in the field. They will learn how to use Power BI and Tableau to gather, store, analyze, and present data, enabling them to provide actionable insights to support strategic decision-making.
3. Managers and Executives: Managers and executives who are responsible for making strategic decisions will benefit from this course as it will enable them to gain a deeper understanding of their organization's data. They will learn how to use Power BI and Tableau to uncover trends, identify inconsistencies, and visualize data in a way that facilitates decision-making.
4. IT Professionals: IT professionals who are involved in data management and analysis will find this course beneficial as it will provide them with the skills to effectively use Power BI and Tableau. They will learn how to connect to various data sources, transform and model data, and create reports and dashboards for data visualization.
5. Business Consultants: Business consultants who work with clients to improve their business processes and decision-making will find this course valuable. It will equip them with the knowledge and skills to analyze and present data using Power BI and Tableau, enabling them to provide data-driven insights and recommendations to their clients.

Course Syllabus

Power BI Setup

Overview of Power BI

Data Analysis & Visualization with Power BI

Connecting to Relational Databases with Power BI

Data Modelling with Power BI

Data Analysis & Visualization with Tableau