Tableau Full Course 2026 | Tableau Tutorial For Beginners | Tableau Data Visualization | Simplilearn

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Welcome to our Tableau full course by simpler. We all know that data is everywhere but it can feel overwhelming without the right tools. Now that's where Tableau steps in. Forget about the endless rows numbers. Tableau help you transform data into clear, interactive and beautiful visuals that anyone can understand instantly. You can think of Tableau as a way to tell a story with data. With it, you will learn how to design dashboards that don't just show numbers. They communicate valuable insights. And with the growing reliance on data and business across all the industries, Tableau experts are in high demand. This course will take you from the basics starting with how to connect Tableau to data sources like Excel, SQL to preparing and cleaning data and building polished engaging dashboards. We will make sure you get hands-on experience with every step of the way. And by the end of this course, you will not just know the technical skills, but also have the confidence to solve real world business challenges with impactful data visuals. Plus, we'll also cover common tablet interview questions to help you showcase your expertise when it counts. So guys, let's dive in. Before we move on, if you are interested to supercharge your career in data analytics, then the professional certificate program in data analytics and generative AI by Elicity Academy IT Gohart is the perfect choice for you. This is an 11-month live online course which offers interactive master classes by IIT Gojhati faculty and industry experts combining cuttingedge tools like generative AI chat GBD, Python, Tableau and SQL. You will experience hands-on learning with real world projects and immerse yourself in the campus environment with a special session at IIT Gojhati faculty plus earning executive aluminiz status from IT Goarti and IBM recognized certifications to stand out in the job market. So guys, hurry up and enroll now and you can find the course link below. >> Surprised that business analytics and business intelligence are two of the fastest growing markets in the world. Organizations today are generating data at a rapid rate. There is a need to use this business data and make smarter decisions. Companies are looking for methods and tools to turn business data into actionable insights. This is where business analytics and intelligence can help play a critical role. Business analytics is the process of collecting, analyzing and drawing valuable conclusions from vast volumes of data available. It helps to improve business performance through fact-based decision making. On the other hand, business intelligence or BI is a technology that enables data preparation, data mining, data management and data visualization. It allows you to analyze data with queries and create reports and dashboards with the help of charts and graphs to be used by business leaders. Business analytics and business intelligence together create capabilities for companies to compete in the market effectively. Consider this example. Suppose you sell homemade chocolates through an online store. Business intelligence provides meaningful insights into the past and current state of your business. BI tells you that sales of your milk chocolate have spiked up in Texas the past 2 weeks. So you decide to manufacture more milk chocolates to keep up with demand. Business Analytics asks, "Why did sales of milk chocolate spike up in Texas?" By scrutinizing your website data, you learned that most traffic has come from a post by a food blogger based in Texas who liked to milk chocolate. This insight helps you decide to send complimentary chocolates to a few other well-known food bloggers throughout the United States. Using cuttingedge business analytics and intelligence tools such as Microsoft Excel, SQL, PowerBI and Tableau can enhance customer experience, improve efficiency, conduct competitor analysis and accelerate growth. First of all, let's understand what business process management is. Business process management or BPM is an organizational discipline in which a firm examines all of the operation processes collectively and individually. Through this assessment, companies aim to identify areas of improvement to create a more efficient and effective business environment. In simple terms, business process management is all about optimizing and improving companies business processes that serve customers and eventually bring the pile of revenue. BPM is vast discipline that by definition is dynamic given the continually changing organization roles, regulations, method, corporate goals and other factor it contains. BPM has evolved with time to accept a wide range of optimization approaches from six sigma and lean management to agile. We'll discover these approaches in depth on some other day. First, let's dive deep into the details of BPM. If we break down nuts and bolts of business process management, you'll find out three key factors. The first one is of course business processes. The second one will be the set of inputs and the third one will be the output retrieved after processing presented inputs. For example, consider the bank loan application process. Here the customer will supply an electronic application form via the bank's website to receive the desired loan plan. Let's say a home loan in this case. Initially the input provided by the customer will go into the loan application process. Now the loan process is not one small process. There are multiple operations and regulations involved in it such as credit checkups, quality control, loan management, underwriting etc. All these tasks are commumulatively considered as business processes. As mentioned earlier, all these processes will start once the customer provides some sort of input. In this case, it is an electronic application which will be forwarded to the salesperson by bank's IT team. By evaluating the submitted electronic application, a salesperson will formulate the list of loan products in order to present them to the customer. But if a customer is interested in some specific banking product, for instance, home loan. In such a case, the salesperson will provide customer details about home loan. A home loan has certain eligibility criteria which customer will have to fulfill. So salesperson will ask for setup documents such as ID proof, income source or salary slip, property documents etc. This initial phase of loan application is also known as pre-qualification process. In the next phase, the administrative team will evaluate all the documents submitted by the customer and forward them to the credit analysis team. At this point, the credit department receives the application and the first step is to analyze it for accuracy, genuiness, and completeness. If all the needed fields are not filled out, the application will be returned to the borrower or credit analyst who will contact the borrower to get the missing information. The credit team uses the loan origination system to determine a borrower's creditworthiness. A good LOS will help a lender bank set up workflows to process a loan. It may automatically flag files that have missing needed fields, return them to the borrower and tell the sales department that they need to be reworked. To manage this tech, a new department of information and technology will also come into play. This particular step of application evaluation is also known as underwriting process. In the next phase, the credit decisions are made. If customer fulfills all required criteria, the application will be approved or if the customer lacks somewhere, the application will be rejected. In the next phase, quality assurance will be achieved. Because lending is highly regulated business, banks rely heavily on the quality check stage of loan origination process. The application is routed to the quality assurance team which compares crucial variables to internal and external standards and regulations. This is the final step of loan procedure before it is submitted for funding. Now consider all these processes altogether. Each process works on feedback of other process or some new input. Hence managing every input and process can increase the speed of business operation by removing internal miscommunications, service delays, customer complaints etc. And BPM is the field of management that exactly works towards achieving that. In short, to define it in more simple terms, I would say BPM is all about managing multiple input streams and intercommunication of business processes to generate desired business outcome within the least amount of time possible. This BPM comprises of three main pillars, people, processes and technology. All three aspects are required to work hand in hand for a BPM project to be successful. The business process needs to be fit for purpose and actually satisfy the demand for all the stakeholder. Having said that, let's discover the life cycle of business process management. Technology and management both are crucial factors for BPM. So the life cycle commences the collaboration of both with five standard steps. The first one is design. Then we have model, implement, monitor and finally optimize. A large team of IT and management experts is required to construct the BPM project. The management team will study related set of business processes in great detail and then try to redesign it with the objective of optimizing it so that it becomes more purpose oriented. All of this happens during the design phase of the project. Here all the processes are carefully designed to be as straightforward as possible by making use of standardization and IT automation. That is why this phase can be completed in a shorter period of time. Next we have as a modeling phase. During this phase, the process gets documented in the form of an activity model. It allows experts to simulate the systems behavior and try out different scenarios through a what if approach. Once the process is approved by higher management by looking at the modeling and simulation sheet, it is then executed and deployed over the information system. This phase of business process management is known as implementation phase. Here if management finds out some discrepancy, the corrections can be made by employing standard methods and automation. The fourth phase of BPM is monitoring. In this phase, the performance of business process is monitored to see if anything goes wrong. If any problem occurs during the monitoring phase, it will be further optimized in the next phase of business process management. This phase is known as optimization. Often this phase remains continuously under the run since the good BPM always improves its business processes on an ongoing basis. Moving ahead, let's talk about the benefits of business process management. The first benefit is increased visibility of business processes. A good BPM implementation will increase the visibility of bank's activities making it easy to monitor and control the critical business processes of the bank. BPM also provides management increased ability to identify bottlenecks. In simple words, a process bottleneck is a work stage that gets more work request than it can process at its maximum throughput capacity. An example of a short-term bottleneck would be a skilled employee taking a few days off. If this occurs, planned operations will not be done on time leading to the drift in business performance. The other type of bottleneck would be a long-term bottleneck. It occurs all the time and can significantly slow down production. An example of long-term bottleneck is when a machine is not efficient enough and as a result has a long queue. BPM can help companies make improvements and reassign resources to meet customer demands by identifying these bottlenecks. The next benefit of BPM is reduce lead time by controlling all business processes altogether and monitoring each process in a silo. BPM increases the accuracy and speed of business operations. For example, the loan application process that could have taken months can now be finished within weeks because of control process handling by BPM. This increased efficiency allows banks to convert leads into potential customers with no time. So definitely this is the hottest benefit that BPM has to offer. The next benefit is a clear definition of employee roles. A good BPM ensures planning optimum roles and duties for the teams as well as employees since people resources is also the important factor BPM aims to manage. The BPM system prevents unfortunate situations where a customer who phone to inquire about a loan application is transferred from one individual to the next and next with all of them saying sorry it's not my decision to make but let me transfer you to the person who deals with it. BPM enables a crossf functional approach to avoid this scenario. So the work is automatically moved from one disk to the another without any need for manual intervention. The sixth benefit is unified systems and operations. Since in BPM no process remains in a silo by itself. All processes come closer to each other making business a complete unified system. The last benefit on our list is expanded growth potential. As discussed earlier, a successful BPM increases customer happiness and lead conversion, which directly increases a company's revenue and market value. >> So, let's start with a little story. Meet John. John works at a company and is always overwhelmed by all the data terms his colleagues use during meetings. So, words like KPIs, data warehouse, and analytics were thrown around, and John often felt lost. He knew understanding these terms was crucial for his career growth. So he decided to dive into learning about business intelligence. Joan started by learning what business intelligence actually means. He discovered that BI involves strategies and technologies that help companies analyze and manage their data. For example, if he worked at Spotify, BI could tell him which songs are getting the most plays when people listen the most and even predict the next big hit. This realization made Jones see how powerful BI could be for making informed business decisions. All right, so let's dive in and let's understand what business intelligence actually is. Imagine you're running a popular ice cream shop and business intelligence is like having a super smart helper that tells you everything about your business. Cool, right? So what exactly is business intelligence? It's all the tricks and tools companies use to understand their data better. It helps them make smart choices based on facts, not just guesses. For example, let's say you use a tool like PowerBI in your ice cream shop. It might show you which flavors sell the most on holidays, what time your shop is busiest, and which toppings are most popular with kids. This info helps you make smart decisions like stocking up on popular flavors or hiring extra staff for busy times. Business intelligence is super important because it turns boring numbers into useful information that helps businesses grow and succeed. It's like having X-ray vision for your company. Next, let's talk about data visualization. So, data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. For example, a bar chart showing the most popular pizza toppings in a delivery app. This is crucial for presenting data in an easy to understand format. Moving on, we have analytics. So, analytics involves the systematic computational analysis of data. For example, using analytics to understand which times of day are busiest for a pizza delivery app. This term is important because it helps in making sense of large amounts of data and aids in decision making. Next up is KPI that is key performance indicator. So a KPI is a measurable value that demonstrates how effectively a company is achieving key business objectives. For example, tracking the number of pizzas sold each month as a KPI to measure business performance. KPIs are essential for measuring performance and progress towards strategic goals. Now let's discuss data warehouse. So a data warehouse is a centralized repository for storing large volumes of structured data from multiple sources. For example, storing customer data from different gym branches in one place for analysis. It is used for reporting and data analysis and is a core component of business intelligence. Data warehouses are important for consolidating data from different sources and making it available for analysis. Next we have database. So database is an organized collection of data generally stored and accessed electronically from a computer system. For example, a database storing member records for a gym. Databases are foundational for storing and managing data efficiently and are critical for any business intelligence processes. Moving forward, let's introduce data mining. So data mining is the process of discovering patterns and knowledge from large amounts of data. For example, a gym analyzing member attendance to identify the most popular class times. Data mining is important for extracting useful information from large data sets. Next, let's talk about dashboard. So dashboard is a business intelligence tool that allows users to track key metrics and KPIs. For example, a dashboard for a gym showing daily attendance, most used equipment and membership growth. It provides a visual representation of data and helps in monitoring performance at a glance. Dashboards are crucial for real-time data monitoring and decision making. Next up is reporting. Reporting refers to the process of organizing data intoformational summaries to monitor how different areas of a business are performing. For example, a monthly financial report summarizing income and expenses for a gym. Reports are essential for tracking progress, identifying trends, and making informed decisions. Finally, let's discuss SQL that is structured query language. So, SQL is a standard programming language for managing and manipulating databases. For example, writing an SQL query to retrieve all gym members who joined last month. It is used to query, insert, update, and modify data. SQL is fundamental for anyone working with databases and business intelligence tools. Remember, whether you are running a multi-million dollar corporation or a neighborhood laminate stand, these BI tools and concepts can help you make smarter decisions and grow your business. They turn raw data into valuable insights, helping you understand your customer better, optimize your operations, and stay ahead of the competition. So with that guys, we have come to the end of this session. I hope this video has helped demystify some key business intelligent terms for you. If you found this video helpful, don't forget to give it a thumbs up and subscribe to our channel for more business and tech insights. If you have questions about DI or want to share your opinion, you can comment down in the comment section below. So what is Tableau? So before we understand what exactly is Tableau, let us imagine a simple situation. Imagine that you're an office worker and you get some loads of data uh maybe like millions of rows or billions of rows and you are supposed to extract the insights of that particular data. So what do you do? You basically load that data into a database and try to write the SQL commands and then try to extract the insights of that particular data. So this kind of approach is basically timeconuming and you get exhausted. Now what if you had a tool which could write all the SQL commands for you in the background and all you had to do is just to drag and drop the data. Sounds interesting, right? So Tableau is just the same. All you have to do is just drag and drop the data and it will automatically write all the SQL commands you ever wanted to write on that particular data and it will give you live data interactions and advices for the future. Now with this let us understand the definition of Tableau. So basically Tableau is a business and analytical software tool developed in America. Tableau helps people to understand, visualize and make datadriven decisions in real time with extreme agility and accuracy. Now with this let us continue with the next topic which will be about the various versions of Tableau. So at first we have the Tableau desktop. So Tableau Desktop is a data visualization application to facilitate you to exmine virtually any kind of structured data and generate highly interactive beautiful graphs, dashboards and reports within minutes. Once a quick installation, you can tie to virtually any data source from spreadsheets to data warehouses and display information in several graphic perspectives. Designed to be easy to utilize, you'll be working more rapidly than ever before. Next, we have the Tableau server. It is a business intelligence application that offers browserbased analytics anyone can utilize. It is a rapidfire alternative to the slow pace of traditional business intelligence software. It is an online solution meant for sharing, distributing and collaborating on content created in Tableau. What makes Tableau different? It is proposed to everyone. There is no scripting required. So everyone can grow to be an analytics expert. You can grow your deployment as you require it. Train online for free. Find answers in minutes and not in months. That's the specialtity of Tableau. Now followed by the Tableau server, we have Tableau online. So Tableau online is a business intelligence application that offers browserbased analytics anyone can utilize. As discussed before, it is a rapidfire alternative to slowpaced traditional business intelligence software. So, Tableau online is a secure cloud-based solution for sharing and collaborating on Tableau views and dashboards. Next up, we have the Tableau public. So, now I want to give you guys a serious heads up. If you are a beginner in Tableau, Tableau public is like an open source. Whatever the data you choose to work on using Tableau public, it goes to public. So, kind of like Tableau public is not preferable if you want to work on your company's sensitive and confidential data. Tableau public is a free software to facilitate anyone to get connected to a spreadsheet or a file and create interactive data visualizations for the web. It is delivered as a service that permits the user to be up to and running overnight. With table public users can construct amazing interactive visuals and publish them quickly without the help of programmers or IT. It is designed for organizations to facilitate their websites with interactive data visualizations. There are higher limits on the size of data you can work with and among other features, you can keep your underlying data hidden. And lastly, we have Tableau Reader. Tableau Reader is a free desktop application that you can use to open and interact with data visualizations built in Tableau Desktop. With Tableau Reader, you can filter, drill down, and discover humongous loads of data. Now moving ahead we have the features of Tableau. So these are the few important features that you might want to consider. Those are the first one robust security. Tableau takes special care of data and user security. It has a foolproof security based authentication and permission systems for data connections and users access. W also gives you the freedom to integrate with other security protocols such as active directory, keraros, etc. An important point to note here is that the Tableau practices low-level filtering which helps in keeping the data secure. Followed by that we have the collaboration and sharing feature. Tableau provides convenient options to collaborate with other users and instantly share data in the form of visualizations, sheets, dashboards, etc. in real time. It allows you to securely share data from various data sources such as onromise, oncloud, hybrid, etc. Instant and easy collaboration and data sharing helps in getting quick reviews or feedback on data leading to a better overall analysis of it. Another extremely useful feature of Tableau is the use of time series and forecasting. Easy creation of trend lines and forecasting is possible due to Tableau's powerful backend and dynamic front end. You can easily get data predictions such as a forecast or a trend line by simply selecting some options and drag and drop operations using your concern fields. Next up, we have live and in-memory data. Tableau ensures connectivity with both live data sources and data extraction from external sources as in-memory data. This gives the user the flexibility to use the data from more than one type of data source without any restrictions. You can use data directly from data source by establishing live data connections or keep that data in memory by extracting data from a data source as per their requirement. Tableau provides additional features to support data connectivity such as an automatic extract refreshes, notifying the user upon live connection fail etc. Next we have information view and even the mobile view. One of the key features of Tableau and the one that got its popularity is its wide range of visualizations. In Tableau, you can make visualizations such as bar chart, pie chart, GAN chart, bullet chart, motion chart, tree map, box plot, and many more. Like you name it, Tableau got it. You can select and create any kind of visualizations easily by selecting the visualization type from the show me tab. Apart from that, it is capable to represent data in mobile view as well. Tableau acknowledges the importance of mobile phones in today's world and provides the mobile versions of Tableau app. The next and the last feature is that being capable of accessing data from various kinds of data sources. Tableau offers a wide range of data source options where you can get connected and fetch data from data sources ranging from onremise files, spreadsheets, relational databases, non-reational databases, online cloud data, data warehouses and many more. So followed by the features now we'll discuss about the advantages of Tableau. So following are the advantages of using Tableau. First one it has remarkable visualization capabilities. Of course, the unparalleled capabilities of visualizing information is on top of the list of Tableau's software benefits. Followed by that, we have the ease of use. The tools intuitive manner of creating graphics and a user-friendly interface allows non-developers to utilize the basic apps functionalities to the fullest. Users arrange raw data into catchy diagrams in a drag and drop way, which facilitates information analyzing and eliminates the need for the help of IT department and pattern building. Next, high performance. Apart from its high visualization functionality, users rates its overall performance as robust and reliable. The tool also operates fast on big data which makes it powerful performance on an important point on the list of the advantages of Tableau. And next is the mobile friendliness. One of our best advantages out of the Tableau benefits is its efficient mobile application which is available for both iOS and Android. It adds mobility to Tableau users and allows them to keep statistics at their fingertips as well as supports their functionality that desktop and online versions have. And finally, we have the thriving community and forum. Tableau has a rich community. The number of TW fans who invest their expertise and skills in the community is increasing rapidly. Business users can beef up their knowledge on data processing and reporting and get many useful insights in this community. Also, forum visitors are ready to help settle any user issues and also share their experience. Next up, we have the disadvantages of Tableau. The first major disadvantage is the high cost. The tableau is not the most expensive visualization software especially compared to such business intelligence giants such as Oracles and IBM solutions. All the same, the license is quite costly for small and medium companies, which makes it one of the considerable Tableau's disadvantages. Next is the inflexible pricing. Tableau sales team is not flexible enough to provide case by case approach for their customers. Ignoring the fact that each company has its own unique requirements for visualization tool package, the Tableau sales model requires clients to purchase and extends license from the start. As a result, a lot of companies that use W arrive at the conclusion that they don't need all their licensed features. They would prefer to buying a set of requirements and scale them if necessary. Followed by that, the next disadvantage is poor after sales support on multiple message boards. Users complain that Tableau software lacks proper after sales maintenance. If customer has software performance problem, the support team does not settle the matter by investigating the problems root and eliminating it. Next, we have the poor BI capability or the poor business intelligence capability. As previously mentioned, the tool provides best-in-class information visual interpretation. However, it lacks the functionality required for a fullyfledged business intelligence tool such as large scale reporting, the building of data tables, and statistics layouts. And lastly, the poor versioning. Only the recent Tableau versions support revision history, while for the older ones, software rolling back is impossible. Now with the advantages and disadvantages discussed, let's move into the top companies hiring. The companies which are desperately looking for Tableau experts are Accenture, EY, Pepsico, Deote, Wells Fargo, Capgeemini and many more. Now let's discuss the humongous and handsome salaries offered by this tech giants. So according to glass doorto the average salary of a tableau expert in America is 82,000 grants and for a beginner it is somewhere around $60,000 perom and at the highest rate it is 1 lak $10,000 perom similarly the average salary of a table expert in India is 5 lak 6,000 perom and for a beginner it is somewhere around 3 lak 60,000 and and for a highly skilled experienced W expert the salaries range from 8 lakh75,000 perom you take any BI tool yes guys tell me come on if you take any BI tool every BI tool follow how many exactly five common stages see it is not mandatory to remember five common stages remember it is not mandatory to remember five common stages but it always good to know about them life cycle of BI2 life cycle of report okay so first one is we have to collect the data collection of the data right once we have data we'll go for what hello my dear friends we'll go for transformation what the third stage going for a data model and creating a join. Have you remembered this? Fourth stage is doing analysis and visualizations and fifth stage is publish. If you remember five common stages, it's make easy for you to go what reportression simple. Now these are our five common stages we have in across all the BI tools and BI tool will help us to get the data from various sources and the data can be transformed based on our business requirement. The data can be transformed based on business requirement and we can perform certain data manipulations or we can get some insights. Why we have to get the insights from the raw data to take a decisions? Now in simple words, in simple words by the help of BI tool what we can do? We can extract meaningful information. We can extract meaningful information or we can find what patterns or we can bring insights. Okay. And see you have raw data. You are going to perform certain calculations. Why? To get some meaning out of it. To find out certain patterns to get more insights. Yeah. Why we have to do all these things? Why we have to do all these things? Why? Why? Why I should find out the patterns? Why should I find out the insights? Why? Come on. Why? Why we should do all these things? Come on guys, why we should do all these things? To solve the business. Correct? To solve the business issues, right? Or this BI tool will help us to take to take wise decisions, actionable items. Got it? Clear all of you? So this is a use or purpose of having a business intelligence tools. How many business intelligence tools we have? Come on, you have to list down quickly. You have to give the answers. How many BI tools we have? A lot. How many? Excel is not a BI tool. Okay. Ashish. Ashita Sarf. No problem. Good to see you Ashita. Okay. Remember, Excel is not a BI tool. Clear. Who asked this? Who said this? Ashish. Ashish. Correct yourself. Okay. Now, we do have PowerBI. We have Tableau, right? We have Clicksense. We have Zoho, right? SQL is not BI tool. Remember, correct yourself, Jenny Scott. Okay, SQL and Excel, those are not BI tools. Alter YX, etc. Clear all of you? Now, one question. Can I call PowerBI or Tableau as ETL tool? Can we consider all these BI tools as ETL tool? Yes. Can we consider them as a ETL tool? If you say S, you're wrong. You're wrong. All these BI tools are not ETL tools. You cannot call them as a ETL tool. No. Okay. Why I am highlighting this point here? Because you have already gone through PowerBI. So I want to add few more points. In during interview they may ask you hey Tableau is a ETL tool. You should say no it is not a ETL tool. But if you notice functionality of any BI tool all of them are follows methodology of ETL tool. Got it? You can you take PowerBI or Tableau or Clicksense or any other VI tool. It will follow it will follow methodology tool but those are not ETL tools. Clear all of you? You will see the flavor. You will see the flavor, the methodology. But those are not actually ETL tools. Those are purely BI tools. Am I clear? Okay. But Mangesh here with I have made I have made so many mistakes. Is that okay? There are there are many typos. Okay. Perfect. So Ashish asking apart from PowerB and Tableau which one is the most used BI tool? So most of the time you'll see Tableau and PowerBI. Now is nowadays PowerBase is not uh leading the market. Second position is Tableau. Okay. If not probably you can see Clicksense in a third position. But as I mentioned earlier also if you're good at one BI tool it's easy to learn other BI tools also. Clear? Alter mostly you will see to do data manipulation and all but not that much used. Remember if you are good at one BI tool remaining all BI tools are very easy to learn. Okay. So now today onwards we are going to learn what we are going to learn what Tableau. Okay. What I will do I will correlate with PowerBI so that you can quickly recap what we have seen while you are in a PowerBI session. Okay, I will correlate. Don't mind if you you if you didn't attend any PowerBI session, don't worry. We are going to learn Tableau from scratch. Clear? One or two guys are there who didn't attend any PowerB sessions for you. Don't worry. Clear all of you. Okay guys, Tableau is also one of the most famous and well-known BI2. Okay, so in Tableau we do have various products, different types of products we have in Tableau. What are those different products we have? Look at my screen. We do have something called Tableau Desktop. We have something called Tableau Desktop. What is the use of having Tableau desktop? What is the use of having Tableau desktop? In this Tableau desktop, we are authorized to prepare a report. In simple words, to prepare a report, we'll use what? Tableau Desktop. Clear all of you? To prepare a report, we'll use Tableau Desktop. This is like what? PowerBI desktop. This is like what? PowerBI desktop. Now second point is Tableau Desktop free version. Answer is no. This is not a free version. Not a free version. You have to buy PowerBI desktop free version. Yes, it's a free version. Clear all of you. But Tableau Desktop you'll get for 14 days as a trial version. 14 days as a trial version. Clear? Any questions here? You can make use of Tableau Desktop for only 14 days. You see Tableau Desktop is used to prepare a report as PowerBI desktop. Okay. And it is not a free version. You have to pay. Okay. No. Okay. you have to pay. Okay, no problem. But for 14 days, yes, you can use it. Okay, now wait a minute. Do we have any do we have any open sources for this Tableau? Answer is yes. What it is? We have something called Tableau public. We have something called what? Tableau public. What is the use of this? So this is also to prepare a report. This is also used for to prepare a report. Again it's a free version. It's a free version. You see something you are getting for money. Something we have no paid version and something you are getting for free. That means what? There must be some difference between these two. Correct? There must be few differences between these two. So you'll see Tableau public with limitations as it's a free we'll have a Tableau public it's a free version but we'll have few limitations so what I will do I will highlight those limitations also and during our training we are going to use Tableau public only clear but in real time which one we'll In real time we'll go for a Tableau desktop. We'll go for a Tableau desktop but during training we'll go for Tableau public. Clear all of you? Perfect. I have a question. Since PowerBI tabular programming to primarily make reports out of the given data which is most preferred and why PowerBI is mostly used because it's a free version. Okay, it's a free version. Mostly nowadays PowerBI is being used. Beside the free version, last time also I highlighted few points since PowerBI is a Microsoft product and we all are already using so many Microsoft products. Let's say operating system, Windows. Yeah. And u database, SQL. And you can see the email for for sending emails we'll use outlook and to have a chitchat with our colleagues we'll use teams and when it comes to cloud we'll have azour and we have a shareepoint from from Microsoft whatn not so these many products we have been using so when I use powerb also that will make us yeah to integrate without any challenges. Got it. Not more features. I would say you'll not get any uh issues. You'll not see any compatibilities issues and is easy to comparatively it's very easy. If you compare Tableau and PowerBI, PowerBI is a bit easy because PowerBI is advanced version of Excel. But when it comes to Tableau, Tableau also very nice. We have very very nice interface. Plus when it comes to huge amount of data, Tableau is the best one. Okay. Performance- wise, Tableau is the best one. And when it comes to map visuals, you have more scope to customize maps, map visuals. And you have more scope to you know customize dynamic visuals in Tableau. Got it. And Tableau is a older one. I would say the age of Tableau is around 15 years. Almost 15 years. And PowerB is almost 7 years. 7 to 8 years. Got it. And which is a Oh, okay. Um asking very good question. using power via Tableau is is a personal choice or or no no it's it's a organization choice it's not our personal choice but mostly both are almost same concept wise same to same you'll see difference set terminologies that's it interface is a bit different but concept wise all BI tools work in a similar way clear all of you any questions and Tableau is very expensive so so we do have two different uh products here, Tableau Desktop and Tableau public. Correct. Now we have something called what? Tableau data prep. So what is the use of having this Tableau data prep? Tableau data prep we have right? This is used to perform what? Data cleaning activities. to perform data wrangling job. Got it all of you? So, anyone can correlate this with what in PowerBI? Any correlation with PowerBI? What do we have in PowerBI to perform data cleaning jobs, data cleaning activity? Exactly. We have something called what? Power query editor, my dear friends. Okay. I'm just correlating. That's it. Okay. If you are not sure what is in PowerBI, you don't need to worry. I'm just correlating. So, we have something called Tableau data prep. Now, is it free version? No, this is also not a free version. It's a paid version. You'll get this for 14 days as a trial. Clear all of you? Do we have any free version here? As we have a Tableau public, answer is no. You don't have anything for free when it comes to data prep. You'll have this for 14 days as a trial version. That's it. Clear all of you. Any questions? No. Right now, let's move on. Now, third one is we have something called Tableau server. Tableau server. Okay. Ash is asking if PowerB is free then why companies go for Tableau? Is there any major difference so that companies are investing in Tableau? That's the reason Ash ashish most of the companies nowadays switching from Tableau to PowerBI and if you correlate the age of Tableau is nearly uh 12 to 15 years but PowerBI is 7 years that means what earlier people used to uh earlier many organization before PowerBI launched they used to work on Tableau you see there is a gap between six years between these two you see six Uh so now since there was nothing except Tableau so they used to have Tableau but in but again as I mentioned in terms of performance wise or visual wise or interface wise Tableau is a really good one. Okay. Now Tableau server what is the Tableau server to share our reports to share reports to end user we'll go for a Tableau server and this Tableau server is nothing but what on premises server what do we have in PowerBI in PowerBI we have something called what PowerBI report server understood? This is also on premises server. On premises server. Got it all of you? No questions. All good. Why we have to go for a tableau server? Once your report is ready, we have to share our report to end user. So how we can share this? We are going to deploy in tableau server. This is on premises server. What do we have another server? Come on. What do we have another server? We have two servers. Another one what? Tableau online. So here what do we have? PowerBI services. Oh my goodness. It's a cloud server. It is a cloud server. Got the point? What is the use of having cloud server? Same to share. So now you have two options. Either you can upload your file in Tableau server which is on premises or if your company is using Tableau online which is cloud server. There also you can upload your files. Am I clear? You have two different servers. One is Tableau server and another one is Tableau online. Tableau server means on premises. Tableau online means cloud server. And these all are paid versions by the way. You're not getting anything free here. Tableau online also you'll get free only for 14 days as a trial version. After 14 days you cannot use that cloud server. Remember? Perfect. Now we have something called what? Tableau public server. Also we have what do we have? We have a Tableau public server. Tableau public server. That means you can publish your files. publish to publish reports publicly we'll use public server also but in fact in real time we are not going to use this Tableau public server okay because it is available for all the users now what else we have we do have something called Tableau mobile we have something called Tableau mobile. Okay, here also we have a PowerBI mobile. Yes or no? PowerBI mobile. If you want to see your report in mobile phone also you can install this mobile application. Right now we have something called Tableau reader. This is just to read your report. Read to read reports. We cannot edit this. We can't edit report but we can read it. But we can read report. Clear all of you. It is a interview question. They will ask you how many different products we have in Tableau. You see we have Tableau desktop. We'll have Tableau Desktop where we are going to prepare a report. Got it? It's a it's a paid version. And we have something called Tableau public which is which is free version and it is used to prepare a report. But in general in real time we are not going to use this Tableau public. Okay. But Harish Kumar guys we are going to use Tableau public during our training period. Okay. Now we have something called Tableau data prep. We'll use this Tableau data prep to perform the cleaning. Data cleaning activity we can perform and few data cleaning activity can be performed in Tableau desktop also. This Tableau data prep it is launched just five years before. This Tableau data prep launched almost 5 years before. Got it? Why they have introduced data prep? Earlier we used to perform all data wrangling job being in Tableau desktop. But what is happening because of uh to avoid performance issues to avoid performance issues Salesforce team launched Tableau data prep and what are what what they are saying hey dude if you want to make any data transformation make use of Tableau data prep. Once data is cleaned, you can you can get this clean data in your over in your Tableau desktop. Anyway, we are going to see this Tableau data prep. I will highlight once again what is the flow in real time. Okay, for time being what you can understand these many products we have. We have something called Tableau server which is on premises server used to publish our files. And we have another server called Tableau online. It is called cloud server and this is also used to publish our files. And we have something called Tableau public server. And we have Tableau mobile phone. And finally we have Tableau reader. Got it? Now these many tools we have. Okay, let's see. We are going to use Tableau public. We are going to use Tableau public. Okay. Okay. Now, shall I go to next level? You see my screen. Tableau desktop is not a free version, but we are going to get 14 days trial version. Right? So, here almost every quarter sales force team will re release new updates. they will release new versions. Okay, just look at my screen. We do have so many versions in Tableau. Guys, I have just given three uh Excel files in chat box. I request you all to download from chat box. Okay. So, group and replace, pivot example and sample supertore data set. Okay. Okay. Just look at my screen for time being. So, here we were talking about Tableau desktop, right? So this desktop is used to prepare a report. So here we do have many different versions. Okay guys, there are many versions. Now if you see here, I'm going to share this link very shortly. Just look at my screen. So these are our different types of versions. If I open this 2024, so here we do have two different versions 2023 under this. So during interview they will ask you definitely what is the latest version of Tableau desktop it's a interview question they will ask you what is the latest version of Tableau so before one day before you go to interview one day before so you have to check what is the latest version clear and they will ask you on what they how they will put this Okay. What is the latest version you're working on? Don't give this answer that I'm working on 2024. No, no one will use latest version in real time. Clear? Probably you can say you're working on 2022 or 2021. Anything is fine. But don't say you're working on 2024 as it is the latest. Clear? Now you see I said Tableau desktop you can use for 14 days as a trial version. Correct? Look at my screen. What I generally suggest to my learners, if you want to work on a Tableau desktop, if you want to work on Tableau desktop, what I suggest instead of going for a latest version, my dear friends, instead of downloading this latest version, what you can do, you can download lower versions. What you can do? You can download lower version. Listen to me very carefully. Let assume that we have downloaded 2022 and we worked on 14 days on this. After 14 days, what will happen? You cannot open this application. After 14 days, after completion of 14 days, you have to go to next version. You have to upgrade 2022.2 to 2022.3. Again you can use this for 14 days. After 14 days what you can do again you can go for a next version. You have to upgrade your product to next versions. Am I clear? If you really wanted to work on a Tableau desktop this is a work around solution. Am I clear all of you? This is just a workar around solution. If you really wanted to work on Tableau desktop. Okay. Now you can say you can ask me hey who is going to install after every 14 days is there any work around answer is yes one workar around is every 14 days you have to go for a next version if you don't want to do this there is another another workar around what it is we have something called Tableau student we have something called what Tableau student so Tableau team is giving think one year license they're going to give you one product key we would say license say license you see Tableau for students in order to get license you have to submit your student ID card okay you see get Tableau for free so here we offer free one-ear Tableau license to students what you need you should have at least student ID card and remember student age must be greater than 16 years 16 plus. Yeah. If you have your school email ID, college email ID, that is also fine. Within 4 hours you are going to get a license. That license can be applied in Tableau Desktop. You can use it for one year. Clear? Am I clear? You don't need to uninstall for every 14 14 days. Is it clear? Or you want me to repeat once again? This is another workar around solution. That license can be applied in three different laptops. Wow. I repeat, let's say you have applied for student license. You got one key. This key can be applied in three different laptops. Interesting. Yes. Now, plus you can use this license not only on Tableau desktop but also Tableau data prep. We have something called Tableau data prep, right? Same key can be used. Same key can be used i