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Tag: best data analytics certification course

Data analysis with Tableau: Things you need to know

Posted on by Imarticus Learning

Tableau is one of the best tools for data analysis, data visualization, and business intelligence. The dynamic visualizations and the interactive dashboards in Tableau help companies gain crucial insights as quickly as possible. One of the main aspects of data analysis is to analyze trends and patterns. Tableau’s great visualizations, graphs, charts, plots, etc. make it easier to identify relationships from data. 

The point of data analysis is to help in gaining business intelligence and then tell stories in a cognizable format. Reports, dashboards, and visualizations created by Tableau do just that. More than anything, there are a vast number of visualizations, designs, functions, formats, and customizations that you can choose from. 

Working in Tableau is as simple as choosing the data source, choosing the visualization, customizing the specifications, and in the very next minute your visualization is ready. Tableau uses a drag-and-drop style of user interface and this makes working with this great data analysis tool faster and simpler. 

Why Tableau?

If not the best, Tableau is currently one of the best software for business intelligence and data analytics. It is a trusted software in this domain and it is easy to shift to for people who are using Microsoft Excel. Like Microsoft Office, now Tableau too has an ecosystem or a suite of products. Tableau is acquired by Salesforce now, making the software highly compatible with other products offered by Salesforce such as their cloud computing solutions and CRM software. Tableau also has all the important functions that you can carry out in Excel. As a matter of fact, Tableau can do so much more. 

Here is why you should definitely choose Tableau over most other data analysis or analytics software:

  • Tableau is a leading product with many other complimentary Tableau products such as Tableau Online, Tableau Mobile, Tableau Server, and Tableau Reader.
  • Frequent upgrades and a fast-evolving business intelligence tool.
  • Easy to learn with a proper learning path.
  • Analyze data for making data-driven business decisions.

Important Things You Should About Tableau

The first thing that we all should be aware of is the fact that there are many Tableau products we can choose from for data visualization or analysis. If you wish to use Tableau for your personal or individual use, you can use Tableau Desktop while Tableau Server is recommended for organizations and for collaboration, in general. 

Tableau Online is also another light tool for business intelligence while Tableau Readers allows users to read files saved with the help of Tableau Desktop. Tableau Public is another free option for users who wish to publish or upload data, feedback, and visualizations online.

There are many features in Tableau that you should definitely know about. Here are some:

  • With Tableau, you can use different datasets in formats such as. TXT, .CSV, and many more. You also get the opportunity to connect databases and big data queries as well. Tableau supports data from various different sources and platforms, which makes this tool very compatible and easy to work with.

  • Tableau is capable of functions such as custom SQL, data blending, and working with Google Analytics as well. Tableau also additionally infers the data type through symbols next to variables.
  • Tableau is capable of representing data with various formatting, views, and drill-downs. You can also apply various filters, create sets or groups and generate forecasts or trend lines.

  • This tool also automatically adjusts the most optimized format for the selected measures and dimensions by activating the most compatible views for the worksheet. It is very easy to simply drag variables to these views for them to show in the main visualization.

Conclusion

If you wish to learn data analysis with Tableau, a solid post-graduate program in data analytics will definitely help you out. Additionally, in order to prepare yourself for being industry-ready, you can choose a reputed data analytics course with placement.

Using machine learning to scale data analytics at Airbnb

Posted on by Imarticus Learning

Airbnb was a revolution in the hospitality industry. It allowed their hosts associated with them to set their prices for the rent from their customers.

With the help of large data resources, Airbnb uses Artificial intelligence and Machine Learning to improve its online services. The company is one of the top targets for those pursuing their Machine Learning course with placement opportunities. 

One of the major improvements made by the company is in its price settings. Earlier it was the host who set the price and now, it is still the host who decides but AI directs them towards the price that will be beneficial for both sides.

Airbnb uses the vast amount of data they gather and analytics to come up with this guidance. What changes did they do to achieve this progress? Let’s find out!

  • Price tips

Price tips are the primary feature that ‘nudges’ the host towards the desired price. This AI-powered feature constantly updates the various price ranges for each day of every month of the year. At a glance, the hosts will be able to see if their set price is suitable to garner any profits if it is enough to get the attention of the customers, or which range is most likely to get bookings, etc. If the price is shown in green, then they are good to go.

If it shows in red, then the host needs to make some changes to make it green. Prices in green will be the most suitable for clicks.

This price range depends on the days of the week, time of the year, specific neighborhood, locality, etc. Even the latitude and longitude matter. This is a result of the algorithms set by Airbnb through the available data.  

  • Aerosolve

The machine learning package that helps with the pricing is the other analytical feature of Airbnb. It handles the behind-the-scenes factors and patterns that lead to the pricing shown in the Price Tips. It helps the user to interpret the words having entirely two meanings in two localities in the right context. 

Such developments are a result of a bunch of data analysts and scientists having such a useful model. It is such usage of data analytics that people are looking for a quality Data analytics course with placement offers. 

  • big data analytics certification coursesIn-app message intent

The third important feature of Airbnb analytics is their in-app message system. Here, the queries of customers will be automatically answered appropriately by classifying the message intent. The machine ‘learns’ to understand what the customer is looking for and respond to them as needed.

It is useful for hosts and customers in different time zones. This way, there is no delay in getting the answers and the customers feel valued. The AI system can identify the queries and even give suggestions such as a link, map, or picture, to the various queries. 

Bottom Line

Airbnb achieves all of these with a few data analysts. They are also empowering their hosts so that they can make their own decisions with the help of the already set analytics. The existing hosts can find effective bookings and the company will be able to find more listings and hosts. 

If you are fascinated with these developments in technology, enroll for the Post Graduate Program in Data Analytics here at Imarticus to understand more about data analysis.

The classes are conducted by industry experts. There will be proper mentorship throughout and beyond the period of the course. You will be prepared for interviews and get assistance with placements as well. 

Create a Facebook Bot using NLP

Posted on by Imarticus Learning

Chatbot, the computer program made using artificial intelligence, mimics human conversation and can reply automatically to queries. The key player inside this program is Natural Language Processing (NLP) which helps with the ‘translation’ of the human queries into a form that the machine can understand. 

It involves data analysis and giving the right input to make the machine capable of doing what it is expected to. When you have the resources, it is now easier to build a bot with the right NLP tools and platforms.

When do you need a Facebook bot?

The Facebook bot is used for the FB pages to improve customer service, to make communication easier for the transactions in e-commerce, etc. It is a way of optimizing the overall customer satisfaction and taking the business forward. 

Facebook has its own user interface called Wit.ai that helps with the creation of intents, agents, and entities. It is completely free, comes with a manual, and integrates well with NLP. Most importantly, it works well with Python, Nodje.js, and Ruby. For those who are familiar with the codes and are willing to spend some time, a Facebook bot building is possible for anyone. 

How to create a Facebook bot?

  • Create a Facebook account and have a page dedicated to your business or brand.
  • Connect the business account or the page with the Bot builder of Facebook. 
  • After going through the manual carefully, start by creating a welcoming reply which will be the default for all customers. 
  • Now comes the most important conversation structure that helps with the navigation of the conversations. It includes pictures, URLs, audio, video, or any kind of media, etc., depending upon the expectations from this chatbot.
  • Once the structure is done, provide the necessary inputs for the dialogues while making sure that they are brief, clear, and relevant. 
  • The next step is creating the ‘brain’ or AI that works with the structure to perform specific tasks according to the commands recognized and received.  
  • Test the new bot for any errors and malfunctions. Go through every aspect and structure of the bot. 
  • The final step is to launch the chatbot by providing the link to your Facebook page. 

Is it as easy as it looks?

In simple terms, yes, it is as easy as it sounds. But the catch here is to have someone who knows about the technology and is familiar with data analysis and machine learning. Those who have completed courses such as the Post Graduate Program in Data Analytics will be a good contender for this task. 

The reason is, the Facebook UI has a steeper learning curve and can take some time to complete. The UI does not offer any visual aspect for the whole programming. So it needs some coding to do and a few other technical nuances to ace the process. So a professional, experienced or a beginner would be requisite. When all these necessities are fulfilled, then yes, creating a Facebook bot will be easy. 

Conclusion

Regardless of the difficulty level of creating one, the Facebook bot has become one of the most efficient ways of connecting with customers. There are several other platforms such as Dialogflow to help with this creation. If you are interested in building such fascinating tools and technologies do enroll in the data analytics course.

The best Data Analytics course with placement will give you the necessary boost to help you land the job, as early as possible.