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Not to Miss: The Startup India tableau at Republic Day 2020 parade

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Not to Miss: The Startup India tableau at Republic Day 2020 parade

The commerce and industry ministry recently, in a written press briefing, said that it will showcase a tableau on Startup India, with an aim to promote innovation and entrepreneurship in the nation. The tableau will be displayed at the Republic Day Parade this year, in a first.

The name of the tableau is ‘Startups: Reach for the Sky’. It is themed on the stages of the life-cycle of a startup and the multifarious elements of support provided by the government, the ministry said in a press statement.

“The front of the tableau depicts a creative mind, full of ideas to solve real world problems. The Startup India Tree, in the middle will represent different kinds of support given,” a government official from the Department of Promotion of Industry & Internal Trade (DPIIT), said in the statement.

The staircase will stand for the various stages of growth – those are – coming up with a concept, creating a prototype, preparing a business plan, building a team, launching into markets and eventually scaling up, an Economic Times report said.

The wheel will denote sectors of economy where Indians have driven and given a fillip to economic growth and created employment opportunities on a big scale, the statement read. The wheel and the map of India together depict the width and the depth of the Startup India movement in the country.

Startup India is a flagship initiative of the Narendra Modi government, conceived with the intention of building a strong environment to nurture innovation, drive sustainable economic growth and generate large scale employment opportunities and job openings.

“We have a million problems, but at the same time we have over a billion minds,” Prime Minister Narendra Modi had said about the flagship programme started in January, 2016. In October, 2019 Prime Minister Narendra Modi said that the Indian startup ecosystem will help India achieve the $5 trillion target for the economy set by the government.  

The objective is to inspire and motivate youth to follow their dreams to generate wealth and become job creators and not just job seekers. Under the Startup India Scheme, eligible companies can get recognised as startups by the ministry in order to access a host of tax benefits, easier compliance, IPR fast tracking and other incentives.

More than 26,000 startups from 551 districts of 28 States and 7 Union Territories have been recognized so far. “Working across IT, Industry 4.0, education, healthcare, agriculture, energy, finance, space, defence and all other sectors of economy, Indian startups have attracted substantial global investments and created more than 2,91,000 jobs,” it added.

Besides DPIIT, the Department of Financial Services, Department of Drinking Water and Sanitation, NDRF Ministry of Home Affairs, CPWD Ministry of Housing and Urban Affairs, and Ministry of Shipping will also participate in the Republic Day parade.

 

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Why Tableau Is the Best Data Visualization Tool for Industries Worldwide?

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Why Tableau Is the Best Data Visualization Tool for Industries Worldwide?

There are several data visualization tools available in the market but Tableau is the most popular and effective. Most of the key players from the BI industry depend on this software for transforming raw data into an easy-to-understand format.

What Makes Tableau So Popular?

Tableau is frequently used as a tool that helps to analyze data quickly and creates visualizations for worksheets and dashboards. It lets users design dashboards that generate actionable insights and takes businesses to new heights. Below, we’ve rounded up top 4 reasons why businesses rely on Tableau:

Amazing Visualizations

Tableau allows you to work with more unordered data and develop stunning visualization: courtesy an array of in-built features. You can also achieve superb context, different ways of drilling meaningful data and understand data in minutes.

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Detailed Insights

The best thing about this visualization tool is that it lets you analyze future data; you can do that while observing data from several angles and approaches. Plus, you can frame hypothetical queries and work on that data correspondingly – possible only because of the feature of adding elements for comparison and analysis and ‘what-if’ visualizations!

Simple Approach

Being user-friendly is one of the major strengths of Tableau. Thanks to this feature, users with no coding or technical knowledge can use Tableau easily. Since most of the features are in a drag-and-drop format, any newbie can work on Tableau without possessing a prior set of skills.

DexLab Analytics is one of the most popular Tableau training institutes in Delhi. Take a look at their offerings.

Works With Various Data Sources

This is what makes Tableau an absolute essential for business houses! In Tableau, data can be taken from anywhere irrespective of its sources. This feature makes it powerful as compared to other BI and Analytics tools. It lets you connect diverse data sources, cloud files, spreadsheet data, big data, data warehouses and various other types of data, including non-relational ones. The software can blend any kind of data to create amazing visualizations that are bound to garner admiration.

Are You Ready?

As of endnotes, a large number of Fortune Global 500 companies prefer Tableau over other data visualization tools. And why not! It is user-friendly and can solve complex business problems and prepare phenomenal visualizations within minutes.  

If you are interested in pursuing a business intelligence career, check out Tableau Certification Delhi. Such certification course will push your career to new heights. It will be a good start for your analytics career and you will get better opportunities to succeed.

Enroll now: <www.dexlabanalytics.com/courses/tableau-bi-visualization-certification>
 
The blog has been sourced from: www.knowledgehut.com/blog/business-intelligence-and-visualization/why-tableau-is-so-popular
 

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Know the Difference between Alteryx and Tableau

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Know the Difference between Alteryx and Tableau

Alteryx and Tableau are two leading software products in the realm of data science with broad application. Both are pivotal in the analysis of data and obtaining important insights. But what is the specific role of each product in an enterprise? Are the products complementary or incompatible? Will using them jointly enhance performance? Read on to find out.

Function of Alteryx:

In general, data preparation takes up a major portion of an analyst’s time. Before the data can be analyzed, it needs to be prepped, which involves many humdrum tasks such as combining data sources together and changing the format of data. This process of readying the data in a format appropriate for analysis is called ETL, short for Extract, Transform and Load.

Alteryx is a top software product for simplifying the ETL process. It offers a large array of tools for handling data. From importing data from various sources to getting it ready for analysis work, Alteryx provides a tool for every task. After modifying the data, you can use Alteryx tools with advanced statistical capabilities to perform sophisticated analyses, like predictive analytics and time series forecasting.

For top rated Alteryx certification training in Delhi, get in touch with DexLab Analytics.

Function of Tableau:

Tableau is renowned as a useful data visualization tool, performing a distinct role in the world of data analytics.  Tableau helps transform data into charts and dashboards, revealing useful insights contained in the data. High-quality charts can be created with Tableau, which in turn leave an impactful impression on the audience.

Combination of the Two Tools:

Tableau and Alteryx complement each other really well. Alteryx comes in very handy in converting data into operable format, but it has limited capacity to display data before an audience. Tableau effectively fills this void. On the other hand, Tableau is unparalleled at data visualization, but is lacking in the field of data preparation, especially areas requiring advanced analytics. Hence, the combination of the two tools adds value to the overall task.

In a nutshell, Alteryx simplifies the tedious preparation process of data analysis and Tableau makes the explanatory part of analysis more enjoyable.

Who works with these products?

A good thing about Alteryx and Tableau is that they are user-friendly and hence, don’t demand advanced technical expertise. They contain easy-to-use drag and drop interfaces. So, data analysts with different levels of skill and experience are comfortable working with these tools.

However, these two software products are market leaders and that reflects in their cost. They are quite pricey and can be afforded only by companies greater than the average ones. It makes sense; because these companies generally work huge volumes of data and have the financial power to afford high-level analytics tools like these.

For companies with smaller budgets, Power BI can be an alternative to Tableau, but its functionality will not be at par with Tableau. In case of Alteryx, there isn’t a clear alternative. R and Python are typically used by businesses, but these are coding languages demanding high levels of skill.

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Concluding Note:

Alteryx and Tableau are both leading products in the analytics industry, the former deals with data preparation whereas the latter deals with visualization. Together they boost up business operations. Affordability might be an issue for many organizations, but if you’re looking for the best products in the market, you cannot go wrong with Alteryx and Tableau.

Looking for ways to upskill and get a hefty pay hike in your analytics career? Check out the courses offered by DexLab Analytics. The faculty, comprising industry experts, provides professional certification courses in a number of key areas, like Tableau, credit risk modeling and more!

Reference: blog.kubicle.com/what-is-the-difference-between-alteryx-and-tableau

 

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Know More, Practice Hard: Best MIS Interview Questions for You

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Know More, Practice Hard: Best MIS Interview Questions for You

Management Information Systems (MIS) is a game-changer. Today’s businesses fail to survive long without leveraging some kind of MIS structure – MIS manages humongous amounts of data and processes them to fuel decision-making capabilities.

In a nutshell, MIS is a systematic collection of hardware, people, procedures and software that all work together in sync to process, store and generate information that is useful to the enterprise.

Now, are you gearing up to crack an MIS Executive interview? If the answer is in affirmative then you are at the right place. In this blog, we will talk about some common aspects of MIS and its components – this will help you hone your skills and nurture your talent to become an ace research analyst, data analyst or business analyst.

Highlight the objective of an MIS (Management Information Systems).

The main purpose of an MIS is to help the management to come up with superior, strategic and tactical decisions boosting and securing future company growth.

Mention the various types of MIS.

  • Databank Information System
  • Decision Information System
  • Predictive Information System
  • Transaction Processing System

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What makes MIS so popular?

Take a look below to know what purposes do MIS fulfill, which in turn makes it an indispensable business tool:

  • Management Information Systems is the wonder tool that feeds in relevant information into the minds of decision-makers. This eventually helps them chalk out effective decisions.
  • MIS enables communication within the enterprise as well as outside – employees working within an organization find it extremely easy to lay their hands information for day-to-day operations, but facilities, like emails and SMS, facilitate quick exchange with the customers and suppliers from MIS that the in-question organization has been using.
  • Management Information Systems is an ideal record-keeping tool, keeping in check all business transactions of an enterprise and offering a reference point for transactions.

What are the components of MIS?

The major components of MIS are tabulated below:

  • People are the ones who leverage the information system
  • Data is the essence of MIS
  • Business procedures are the very ways in which you record, store and analyze data
  • Hardware includes workstations, printers, servers, networking equipment and more
  • Software are predetermined programs that handle data – such as database software and spreadsheet programs

Mention the levels of information requirement in an MIS.

  • Organization level
  • Application level
  • Technical level
  • Database level

What are the advantages of MIS?

  • Better data accuracy – say thanks to easy verification checks and data validation!
  • Faster data processing – MIS boosts information retrieval system and ensures fast data processing, leading to an improved and enhanced client-customer relationship.
  • Improved data security – along with restricting user access to the database server, the computerized information system facilitates other security measures, including access right controls, user’s authentication, biometric authentication systems and more.

As a matter of fact, DexLab Analytics is a budding MIS training institute in Gurgaon – it helps professionals and newbies to maintain and revamp the existing MIS within an organization. If interested, you can also hone your advanced Excel skills with Excel training courses in Delhi offered by the same.

The blog has been sourced from – learning.naukri.com/articles/top-mis-executive-interview-questions-answers

 

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Importance of MIS in Business

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Importance of MIS in Business

Today’s corporate world is dynamic. Ever-evolving technologies and daily upgrades drive business organizations to fulfill goals and objectives. They also involve substantial risks and uncertainties. These challenges urge businesses to take crucial decisions that end up determining their future success. Since the primary objective of any organization is to improve their profit ratio and flourish in the long run.

This is why businesses can’t ignore the significance of MIS – Management Information System

Define MIS

MIS is a comprehensive set of processes that offers critical data and information to the management so as to enhance informed decision-making. It involves:

  • Gathering apt data from numerous reliable sources
  • Processing of those data to derive meaningful, relevant information
  • Furnishing this essential information to the respective department

What Makes MIS Reports so Important to Boost Business Decision-making?

MIS Reports are prepared after careful analysis of existing data and observing on-going trends prevalent in the industry. They play a key role in improving productivity, performance and profitability of any enterprise. No wonder, it’s extremely important for the administration to lay hands on reliable data in sync with the latest trends to make quick, informed decisions.

As a result, MIS Reporting System is regarded as the bedrock of company operations, and it aids the company to stand out against its tailing rivals.

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Advantages of MIS

Efficient Data Management

MIS is widely favored for managing essential business data to aid in complex decision-making. The high on significance kind of information is stored in an efficient way and can be easily accessed by the administration anytime anywhere.

Trend Analysis

Management in any organization needs to prepare a presentation for strategic planning and tabulate future goals. In order to create such advanced strategies, they need to possess accurate reports clearing in accordance with prevailing market situations. MIS uses numerous mathematical tools that would analyze current market trends and precisely predict future trends based on such details.

MIS Sets Future Goals

Be it a finance firm, an MNC, a healthcare institute – setting up a goal matters a lot. It requires ample research and development. The information derived from MIS Reports is held veritable and is mostly used to determine company goal. Also, MIS requires current market trend analysis and future industry forecasts. Thus, it won’t be prudent enough to ignore MIS and reporting.

Improved Efficiency

The appropriate information collected by MIS helps in formulating improved goals and top notch strategies for the company. Also, the performance can be easily gauged with the help MIS Reports. Undeniably, MS plays a crucial role in enhancing the efficiency of the organization.

Compare and Contrast

MIS database is encompassing and can be accessed anytime. Management professionals can anytime go through the MIS reports and compare and contrast its present business performance with that of previous years’. Often this helps in measuring company’s growth prospects and if it’s on the right track towards success.

In a concluding note, we would recommend Best MIS Training in Gurgaon; DexLab Analytics is a sure bet when it comes to the best MIS training institute in Delhi. With skilled experts in the team, the institute is one stop shop for all things data analytics.

 
The blog has been sourced from  ― aristotleconsultancy.com/blog/mis-important-businesses
 

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Manage Information Systems: Its Challenges and Recommended Solutions

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Manage Information Systems: Its Challenges and Recommended Solutions

The scope and capabilities of today’s CFO have extended well beyond the norms of conventional financial management more into strategic domains of business. The new improved job responsibilities make it important for CFOs to derive meaningful data that would sustain and cultivate strategic business initiatives.

However, the real challenge is to find the right data at the right time and in the right format. Traditional MIS systems that are used for expense and revenue reporting have always been laden with inconsistency, inaccuracy and unreserved intricacy.

The manner in which data is collected, kept, assembled and presented to CFOs is complex and unfit for decision-making. For CFOs and finance teams, data management is a very challenging job which takes a lot of time, effort and expertise. But, why?

Aggregate data is extracted from the conventional MIS system

If you look into any organization, product or department heads are allotted given budgets at the beginning of every month or quarter – and their monthly performance is ascertained against this budget. Canned reports issued by the finance departments are studied to gauge employee’s individual performance against budgets.

Based on the data report, corrective measures are taken, cost overruns are eliminated and budget efficiency is maximized. But, what if there exist deviations in data?

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Aggregate data can never determine the cause of budget deviations

In the General Ledger report, you get to scour through aggregate data for spending vs. budget, but it doesn’t contain explicit transactional details that are required for investigating the root causes that trickles budget deviation or any unexpected increase in a specific expense bracket.

Different teams manage and store data in multiple systems

Transactional data found in the GL summary report is derived from numerous systems, such as Accounts Payable, HRM & Payroll and Inventory Management – each one of them is managed by distinct teams.

Sometimes, professionals not belonging from financial departments can be asked to extract meaningful insights from these data.

Obviously, all this makes the task more complex and challenging. No wonder, it takes a lot of time and effort to solve such intricate issues.

The Solutions

  • Replace the traditional GL system with the cutting edge ERP or a bunch of accounting software.
  • Adopt a self-service management system that might be heavy on cost but productive. It would give the CFOs the analytics they are looking for without disrupting their existing GL.

In this regard, Best MIS Training in Gurgaon offered by DexLab Analytics is the best bet. Our robust MIS system gives you gain access to the right data in a format you prefer.

Remember, if your enterprise is facing any of the above challenges, you should definitely look for a better MIS to tackle your business expenditure and make things right. We, being one of the best MIS training institutes in Gurgaon would love to help you out!

 

The blog has been sourced from  ―

www.happay.in/blog/3-challenges-of-legacy-mis-and-ways-to-overcome-them

 

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Top 3 Data Visualization Tools Trending Now

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Top 3 Data Visualization Tools Trending Now

The wave of digital transformation is ravaging all industry verticals. Big Data coupled with AI and ML is driving the force, with data being at the bull’s eye.

But, what if we say most of the data in the world is hardly used? What if it becomes a hefty liability? Yes, data can become a liability if we fail to understand it properly. For that, we’ve data visualization – it’s the best way to present your data to the world in order to gain meaningful insights.

Fortunately, data visualization is evolving rapidly. Charts, graphs, infographics, videos and AR/VR presentations have taken the channels of communication to an entirely different level. In this blog, we’ve compiled tip 3 most popular and effective data visualization tools – they are easy to use, do their job well and highly compatible with major software and programming languages. However, they are all paid, although they offer free-trials.

Tableau

With a huge customer base of 57000+accounts spread across diverse industry verticals, Tableau is the father of data visualization software and for the right reasons! Along with having the ability to generate interactive visualizations, Tableau is relatively easy to use and offers more than generic BI solutions.

Tableau is ideal for handling vast and fast-changing datasets that are used mainly for Big Data operations, such as ML applications and AI implementations. Developers and data scientists look up to Tableau as it integrates seamlessly with high-end database solutions, including My SQL, Hadoop, SAP, Amazon AWS and Teradata. Also, a wide number of third-party resources online are on offer plus a powerful community to aid and assist new users about how to integrate the tool seamlessly with their projects.

Interested in arming yourself with the skills of Tableau? Worry not; DexLab Analytics is a top-notch Tableau training institute in the heart of Delhi excelling in many other in-demand skill training courses.

Plotly

For highly advanced and complex data visualizations, Plotly is the key. All thanks to how well it homogenizes with cutting-edge programming languages, such as Matlab, Python and R! All of them being extremely analytics oriented.

Developed above the open source d3.js visualization libraries for JavaScript, this high-valued commercial package is extremely user-friendly, along with providing inbuilt support for APIs, like Salesforce.

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QlikView

Touted as the biggest rival of Tableau, QlikView boasts of 40000 clients’ accounts across 100 countries. It is one of the most terrific players in the space of data visualization, and why not?! The customers who have used it have lauded QlikView because of its customized setup and versatile range of functionalities. However, this could also mean it takes some time to be familiar with entirely and then only it can be leveraged to its full potential.

Along with providing superior data viz capabilities, the tool excels in some of the best BI and analytics reporting capabilities. It’s simple, effective and non-clumsy user interface scores extra brownie points. Interestingly, customers use it in collaboration with its sister package, QlikSense – it manages data discovery and exploration to derive maximum benefits.

For more information on Tableau BI training courses, drop by DexLab Analytics! They are experts in everything DATA!

 

The blog has been sourced from:

www.forbes.com/sites/bernardmarr/2017/07/20/the-7-best-data-visualization-tools-in-2017/#6fdf13cf6c30
 


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Most Popular Tableau Interview Questions with Answers to Learn Right Now

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Most Popular Tableau Interview Questions with Answers to Learn Right Now

Tableau is dominating the business intelligence industry. It’s a powerful and fastest growing data viz tool used to simplify complicated raw data. It helps break the data into easy-to comprehend formats.

In this blog, we’ve compiled down the most popular Tableau Interview questions with their answers. The sample questions are framed by seasoned experts, who have encompassing knowledge on the subject matter – they have taken needed care and effort to help you get the correct answers. This will help you on your endeavor of job hunting!

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Mention top 5 main products offered by Tableau.

Tableau specializes in these 5 products – Tableau Server, Tableau Desktop, Tableau Reader, Tableau Online and Tableau Public.

Name the latest version of Tableau Desktop.

Tableau Desktop Version 10.5.

Explain data visualization, and the use of Tableau.

Data visualization is an umbrella term referring to a set of well-defined techniques used for data communication through proper presentation and graphics (such as bars, diagrams, lines or points).

Tableau helps analyze data in an on-premise database, a cloud application, a normal database, a data warehouse or an Excel file – create interesting representations of data and share with your colleagues, friends and clients. You can also use Tableau to include other data too, and help keep your data up-to-date regularly.

Define filters. How many types of filters exist in Tableau?

In Tableau, there are several ways to filter and restrict your data – the outcome may be oriented towards improving performance, helping viewer get the right information or for highlighting something critical.

Three types of filters are as follows:

  • Context Filter
  • Quick Filter
  • Datasource Filter

Do you know how to remove all options from a Tableau auto-filter?

  1. Right click filter
  2. Customize
  3. Uncheck show all option

Why Tableau Extract is better over live connection?

Tableau Extract is easy to use, anywhere, anytime. For this, you don’t need any connection and can construct your own visualizations without connecting yourself with any database.

How many tables can you join in Tableau at the most?

Up to 32 tables can be joined in Tableau, but not more than that.

Define dimensions and facts.

To put simply, dimensions denotes text columns, while facts refer to measures, meaning numerical values.

Examples of dimensions – product name, city

Examples of facts – profit or sales

Highlight the difference between heat map and tree map.

Well, a heat map is an ideal method for comparing groups using size and color. Here, you can easily compare two distinct measures. On the other hand, a tree map is one of the most robust visualization, especially for graphically representing hierarchical data. 

For more in-depth knowledge on Tableau and its related applications, we recommend good Tableau training institutes in Delhi. Tableau certification Delhi is gaining a lot of prominence amidst the data analytics circuit. Hope this helps build a fine career for you!

 

The blog has been sourced from — intellipaat.com/interview-question/tableau-interview-questions

 

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3 Most Used Data Science Tools in 2018

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The humongous amount of data calls for advanced data science tools – to completely understand and analyze the information.

Data analytics fuels digital transformation. The best way to do this is by arming an expert pool of statisticians, math pundits and business analysts with suitable data science tools with which they can squelch out crucial insights from the ever-growing silos of corporate data. This kind of initiatives promote a data-driven business culture, which acts as a present prerequisite – and this why here we’ve jotted down top 3 data science tools that’s weaving wonders with the new oil of the world, data:

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Python

Both, well-performing software and a powerful programming language perfect for developing custom algorithms, Python is the most must-have tool for all data scientists. In a recent KDnuggets survey of 2052 users, Python language was recommended by 65.6% of respondents.

“We use Python both for data science and back end, which provides us with rapid development and machine learning model deployment,” shared Alexander Osipenko, lead data scientist at Cindicator Inc. “It’s also of great importance for us to ensure the security of implemented tools.”

Leslie De Jesus, innovation director and lead data scientist at Wovenware emphasized on the importance of Python libraries. “[We use] Python Libraries, including Scrapy, for web scraping and being able to extract data from the internet and upload it into a data frame for analysis,” said De Jesus.

Few others vouched for Python because of its multifaceted nature and strong optimization skills.

For Python Certification Training in Delhi, drop by DexLab Analytics.

R

Quite similar to Python, R is the go-to programming language for many data scientists and they depend on it wholly because it’s simpler and more specifically-built for data science. According to the KDnuggets poll, 48.5% respondents voted it to be one of the leading data science tools.

As for all, R programming language is blessed with cultivated capabilities for machine learning and statistics, and professionals love using it. It’s another favorite of data analysts, especially those who deals with a lot of data exploration.

“I can quickly see summary stats like mean, median and quartiles; quickly create different graphs; and create test data sets, which can be easily shared and exported to CSV format,” said Jon Krohn, chief data scientist at Untapt Inc.

Seeking R language certification in Delhi? We have DexLab Analytics for you!

Tableau

Bridging the gap between skilled data science teams and more business-oriented analytics consultants, Tableau Software is the fastest data visualization and dashboard tool. “It is a fantastic tool for data scientists and noobs working on data science,” said Pooja Pandey, senior executive for SEO at Entersoft Security. “[It’s a] quick dashboarding tool to visualize insights and analytical data with a very short learning curve.”

The lightening speed of Tableau’s visualization and reporting functions is commendable. It’s easy to learn, quick to implement and intuitive to use. Moreover, it helps different segments of a company to customize exhaustive reports according to their requirements.

Now, if you are looking for ways to hone your visualization skills, we would recommend Tableau BI training courses from DexLab Analytics. Their training courses are comprehensive, well-research and as per industry standards.

 

The blog has been sourced from — searchbusinessanalytics.techtarget.com/feature/Data-scientists-weigh-in-5-data-science-tools-to-consider

 

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