tableau training courses Archives - Page 3 of 4 - DexLab Analytics | Big Data Hadoop SAS R Analytics Predictive Modeling & Excel VBA

Here’s How to Make Data More Actionable for Better Decision-making

Every customer demand needs to be fulfilled, and CEO’s expect marketing analysts to deliver them. Being a key marketing initiative, optimizing every customer experience is a significant deal to seal for marketers all around the globe.

 

Here’s How to Make Data More Actionable for Better Decision-making

 

Data, of course, plays a crucial role in marketing endeavors – but only the data that is interpretable makes sense, rendering other data useless. To turn data into actionable, organizations need to understand the accuracy of data and in the process should be successful in turning insights into action.

Continue reading “Here’s How to Make Data More Actionable for Better Decision-making”

5 Quick-Fire Tips and Tricks from Dashboard Specialists

No two dashboards are similar. They cater to different audiences, serves distinct purposes, and address individual problems as unique as you.

 

5 Quick-Fire Tips and Tricks from Dashboard Specialists

 

In this blog post, we will talk about the 5 best practices to apply right now to create attractive dashboards, and engage users effectively.

Continue reading “5 Quick-Fire Tips and Tricks from Dashboard Specialists”

Text Adventure – Using Control Flow In Python

Python wascreated by Guido van Rossum and first released in 1991.Python, as a programming platform, has gained a huge popularity within a short span of time because of its flexibility and the user-friendly interface. The software can be deployed easily for developing statistical models and machine learning algorithms

 
Text Adventure- Using Control Flow In Python
 

In fact, due to the advent of AI and ML, Python has a language has had a certain kind of rebirth as far as industrial use is concerned. Today, however, the focus is going to be on a particular section of the language, namely the control flow to create a basic system in Python.

Continue reading “Text Adventure – Using Control Flow In Python”

What to Do and What Not to Do With Data Visualization

What to Do and What Not to Do With Data Visualization

Data Visualization can be your bow and arrow provided you know the exact way to use it.

In modern day scenario, data visualization has become the crux of efforts – raw data in various forms and statistics tends to be incredibly powerful, but only if you decide to work with them as a whole. After all, it’s not just the numbers but the story behind those numerical figures that reveals something. So, you require data visualization to brush up these notions and turn them into something more compelling to target audience. Data Visualization makes your messages more attractive, lively and enhances the impact, along with keeping your audience hooked.

Continue reading “What to Do and What Not to Do With Data Visualization”

Wanna Talk to a Database? Tableau Acquires ClearGraph

Wanna-Talk-to-a-Database
 

For 14 years, Tableau has solely focused on helping people understand their data better. To take this mission a notch higher, this August, Tableau announced they have acquired ClearGraph, a robust Palo Alto startup that facilitates smart data discovery and data analysis through Natural Language Processing (NLP). They have decided to work with ClearGraph team to incorporate its cutting edge technology into their own products to make data interaction easier via natural language, query technology. Continue reading “Wanna Talk to a Database? Tableau Acquires ClearGraph”

The Alliance between MongoDB and Tableau Makes Visual Analysis Easier

The Alliance between MongoDB and Tableau Makes Visual Analysis Easier
 

After a volley of speculations, in 2015 the BIG revelation was made – MongoDB, the database for mammoth ideas has partnered with Tableau, the master in visual analytics to make visual analysis of rich JSON-like data structures easier directly in MongoDB. This is a fascinating telltale about a leader in modern databases for robust application development teaming with a leader in rapid-fire visual analytics to serve users’ better.

 

 

Recently, the two global tech players are again in the news – Tableau certified MongoDB’s connector for BI as a “named” connector, which means users for the first time can visually analyze rich JSON-like data structures incorporated with modern applications directly in MongoDB Enterprise Advanced. “Data is a modern software team’s greatest asset, so it needs to be easy for them to both store and visualize it in performant, flexible and scalable ways,” said Eliot Horowitz, CTO, MongoDB. He further added, “With Tableau’s certification of the MongoDB Connector for BI, executives, business analysts and data scientists can benefit from both the engineering and operational advantages of MongoDB, and the insights that Tableau’s powerful and intuitive BI platform make possible.”

Continue reading “The Alliance between MongoDB and Tableau Makes Visual Analysis Easier”

Maps in Tableau: Key to Answer Data Questions

Maps in Tableau: Key to Answer Data Questions

For creating brilliant data visualization, first you need to know which visual chart type would be ideal for the data story you want to tell. In this post, we will explore maps in Tableau, when and where they seem to be appropriate for particular data visualization, and how to make them more productive. If you want to use a map, make sure you know the reason why.

Maps help you attain, authenticate, or communicate spatial patterns with data. With these maps, you should start your presentation with a spatial question. This spatial question ensures that your map will perfectly find you an answer in the best way possible.

 

For example, answer this question using a data map:

Which country in the US suffers from the highest obesity rate?

1_rss

How much time did it take to answer that question? Did you quickly find the actual location without fuddling too much over the darker-colored country? I guess not. However, this map might not be the best path to answer this spatial question.

Now, let’s use the bar chart below to answer the same question.

 

It is easier to discover the answer here.

By combining the map and bar chart together, the answer to your spatial question can easily be derived.

 

Basically, maps are great for answering these two types of spatial questions:

  • What is the value for a specific location or mark on the map?
  • How do patterns compare between locations, regions, or attributes?

 

Go through the following tips to answer these questions better.

How to determine the value for a specific location or a mark on map?

Tooltips are the perfect way to move your mouse over a mark and observe a list of all the underlying dimensions and measures present.

You can easily edit a tooltip to include both dynamic and static text.

For example, identify which of these tooltips reveals a story about earthquakes in Japan.

screen_shot_2017-06-16_at_7.47.20_am

Also, the Tooltip improves speed-to-insight because the viewers of the map can easily find individual locations they want to find.

For example, find out the internet usage percentage in Uganda.

uganda

How do patterns compare between regions, locations or attributes?

To give answer to this question with a map, you must allow a direct comparison to be established between the data, symbols and even colors.

For example, while establishing a comparison between these two sets of unemployment data, the default color encoding doesn’t add any value for making direct comparisons. The reason being: the dark red doesn’t stand for the same value in both maps.

In turn, this situation can be very confusing for users who have no idea about the details of the data.

1_rss

The best way to deal with the problem is by getting an assurance that the color ramps in both maps use the same range.

Also, you can make your date easier for comparison by adjusting the color scheme, so that different color groups exude similar semantic meaning. Semantically-resonant colors help in processing information faster.

screen_shot_2017-06-16_at_7.52.23_am

In case, you want to learn more about Tableau, check out our blogs published on DexLab Analytics. We offer state-of-the-art Tableau training courses in Delhi, for any assistance reach out to us.

 

Interested in a career in Data Analyst?

To learn more about Data Analyst with Advanced excel course – Enrol Now.
To learn more about Data Analyst with R Course – Enrol Now.
To learn more about Big Data Course – Enrol Now.

To learn more about Machine Learning Using Python and Spark – Enrol Now.
To learn more about Data Analyst with SAS Course – Enrol Now.
To learn more about Data Analyst with Apache Spark Course – Enrol Now.
To learn more about Data Analyst with Market Risk Analytics and Modelling Course – Enrol Now.

Making Data Visualizations Smarter, Tableau Explains How

Making Data Visualizations Smarter, Tableau explains How

Appalling, bewildering and utterly nonsensical – data at times can look incomprehensible, especially in its raw forms. This accelerated the foundation of the data visualization company and our very own ‘business dashboard’ tool. Generally found locked within the so-called BI sphere, we can now consider these top notch graphical tools as a powerful medium of assimilating, categorizing, analyzing and then presenting data in a highly interactive and interesting form, using images and charts.

2

What images are used in a BI dashboard?

Typically, we would found scatter plots, bubble charts, heat maps, pie charts, geographical maps and of course standard tables strewn across a BI dashboard– in short, it is a real smorgasbord of visualization tools.

But a question that clogs our minds is – why do we have to use these tools? What purpose they serve? The most prominent underlying reason typically revolves around the fact that we rely more on the computing power to sail through the numbers and then feature those numbers or ‘trends’ that the human mind would have taken ages to comprehend.

From our standpoint, we humans are more comfortable with pictures than tables or numbers. Spotting a trend through visual representation makes things easier and faster as compared to their traditional counterparts.

Infusing some more intelligence

Tableau Software, a Data Visualization specialist is in its endeavour to add intelligence in its existing format by injecting new brain power in the Tableau 10.3 product release. 

Expect the following updates:

  1. Automated table and join recommendations, powered by machine learning algorithms
  2. Data driven alerts for proactive monitoring of key metrics
  3. Six new data sources are added for rapid-fire analysis

To make things easier, Tableau excels to help create data dashboard table construction USING machine learning tools – and, trust me it would be quite important as all the machine logs comes mostly from the Internet of Things (IoT).

The mechanism behind data alerts

Powered by latest data-driven alerts, users can now receive instant notifications just the moment their data crosses a pre-determined threshold, ensuring they never miss out the changes occurring within the organisation.

Francois Ajenstat, chief product officer at Tableau stated, “Tableau 10.3 makes it easy for teams to access data, wherever it resides. In all, customers can now connect to more than 75 data sources via 66 connectors, without any programming. That includes a new PDF connector, which allows people to directly import PDF tables into Tableau with just one click. With an Adobe estimated 2.5 trillion PDFs worldwide, this unlocks a new realm of data that can be leveraged for rich analysis.”

New improved Tableau is now equipped with new connectors to data sources, like ServiceNow, MongoDB, Amazon Athena, Dropbox and Microsoft OneDrive.

Is data visualization really a cure-all?

If you ask me, I would say NO, not necessarily. Just by adopting data visualization and BI tools, such as Penataho, SAP, Microsoft, TIBCO and others, it doesn’t mean everything will be good to go. Keep in mind, though the algorithms are gaining momentum and becoming super powerful, we humans are still better in identifying the nuances, quirks, outliers and absolutely unique one-offs.

As parting thoughts, Tableau is marvellous, but don’t forget your fundamental commands in mathematics, learnt at school. They’ll help you, for sure! Till then, wish you luck!

1648519ca6ff87be75a3618dce6b4497d

For Tableau training courses, rest your trust on DexLab Analytics. We are a reputable Tableau Training Institute, headquartered in Gurgaon, with a branch in Delhi.

 

Interested in a career in Data Analyst?

To learn more about Data Analyst with Advanced excel course – Enrol Now.
To learn more about Data Analyst with R Course – Enrol Now.
To learn more about Big Data Course – Enrol Now.

To learn more about Machine Learning Using Python and Spark – Enrol Now.
To learn more about Data Analyst with SAS Course – Enrol Now.
To learn more about Data Analyst with Apache Spark Course – Enrol Now.
To learn more about Data Analyst with Market Risk Analytics and Modelling Course – Enrol Now.

What Makes Tableau 10 So Desirable Among the IT Nerds

What Makes Tableau 10 So Desirable Among the IT Nerds

Your data just got better, say thanks to Tableau 10. The big data geeks have worked on both the beauty and brains of Tableau, to make the analyses easier, faster and exceptionally delightful. Tableau 10 features an exciting new look and feel, loaded with cute fonts and beautiful colours to make your viz sparkle.

We are thrilled. We have been waiting for days to gauge how some of the Tableau 10 new features will synchronise with our conventional business interface for Hadoop. We have culled out some of the best features of Tableau 10, which had made us zealous and left us buzzing. And here they are ..

An extremely visually appealing new interface

Connect the little dots to get a bigger picture. The new interface pays enough attention to minute details making the entire visualization environment pleasant and engaging.

For example: When you name a worksheet tab, the same name pops up as an inline title, blending seamlessly with the viz – now isn’t that great!

atscale1

Ten on ten to Tableau’s clustering feature

Owing to Tableau’s outstanding analytics capabilities, Tableau 10’s clustering feature is the next best thing. The feature focuses on the elements of a pool of data values and visually highlights an inconspicuous number of clusters, which is found in the data. This makes it easier for an analyst to run his eyes through the data sets they need to investigate.

Spotting the zip codes was never so easy before, come and take a look at the following video.

Tableau 10’s highlighting feature helps in finding a needle from the big data haystack

While developing interesting data visualizations, we often need to present the most comprehensive view of the data, so that the consumers get the right information they are looking for, without foraging here and there. With Tableau 10’s highlighting feature, this goal is easily achieved.

In the video shared below, we can see the weekly trend of sales and numbers of customer across the states included in the sales transaction data.

Multisource data integration and blending

By using Tableau 10, the users will be able to directly connect to data stored in Google Sheets.

Scroll down:

atscale2 (1)

Develop visual representation of the most-favoured customers, based on estimated lifetime value.

005

Once the new data source is created, you can now use the data-relationships feature to let Tableau know that the Last Name column from the Google Sheets data set is mapped to the Customer Dimension column from my AtScale big data virtual cube.

004

Soon after the above relation has been accomplished, a filter is initiated on my Purchase Trends by Ranked Customers dashboard. Watch the video, to get a clearer picture.

These are some of the slivers of what’s new in Tableau 10. Want even more? Join DexLab Analytics for intensive Tableau Certification Training. This premier data science training institute excels in data analytics certification courses. Get interesting data knowledge and Tableau insights from the veterans!

 

Sources: tableau.com
 

Interested in a career in Data Analyst?

To learn more about Data Analyst with Advanced excel course – Enrol Now.
To learn more about Data Analyst with R Course – Enrol Now.
To learn more about Big Data Course – Enrol Now.

To learn more about Machine Learning Using Python and Spark – Enrol Now.
To learn more about Data Analyst with SAS Course – Enrol Now.
To learn more about Data Analyst with Apache Spark Course – Enrol Now.
To learn more about Data Analyst with Market Risk Analytics and Modelling Course – Enrol Now.

Call us to know more