Author Archives: Dexlab

R is Gaining Huge Prominence in Data Analytics: Explained Why

Why should you learn R?

Just because it is largely popular..

Is this reason enough for you?

Budding data analytics professionals look forward to learn R because they think by grasping R skills, they would be able to nab the core principles of data science: data visualization, machine learning and data manipulation.

Be careful, while selecting a language to learn. The language should be capacious enough to trigger all the above-mentioned areas and more. Being a data scientist, you would need tools to carry out all these tasks, along with having the resources to learn them in the desired language.

In short, fix your attention on process and technique and just not on the syntax – after all, you need to find out ways to discover insight in data, and for that you need to excel over these 3 core skills in data science and FYI – in R, it is easier to master these skills as compared to any other language.

Data Manipulation

As rightly put, more than 80% of work in data science is related to data manipulation. Data wrangling is very common; a regular data scientist spends a significant portion of his time working on data – he arranges data and puts them into a proper shape to boost future operational activities. 

In R, you will find some of the best data management tools – dplyr package in R makes data manipulation easier. Just ‘chain’ the standard dplyr together and see how drastically data manipulation turns out to be simple.

For R programming certification in Pune, drop by DexLab Analytics.

Data Visualization

One of the best data visualization tools, ggplot2 helps you get a better grip on syntax, while easing out the way you think about data visualization. Statistical visualizations are rooted in deep structure – they consist of a highly structured framework on which several data visualizations are created. Ggplot2 is also based on this system – learn ggplot2 and discover data visualization in a new way.

However, the moment you combine dplyr and ggplot2 together, through the chaining technology, deciphering new insights about your data becomes a piece of cake.

Machine Learning

For many, machine learning is the most important skill to develop but if you ask me, it takes time to ace it. Professionals, who are in this line of work takes years to fully understand the real workings of machine learning and implement it in the best way possible.

Stronger tools are needed time and often, especially when normal data exploration stops producing good results. R boasts of some of the most innovative tools and resources.

R is gaining popularity. It is becoming the lingua franca for data science, though there are several other high-end language programs, R is the one that is used most widely and extremely reliable. A large number of companies are putting their best bets on R – Digital natives like Google and Facebook both houses a large number of data scientists proficient in R. Revolution Analytics once stated, “R is also the tool of choice for data scientists at Microsoft, who apply machine learning to data from Bing, Azure, Office, and the Sales, Marketing and Finance departments.” Besides the tech giants, a wide array of medium-scale companies like Uber, Ford, HSBC and Trulia have also started recognizing the growing importance of R.

Now, if you want to learn more programming languages, you are good to go. To be clear, there is no single programming language that would solve all your data related problems, hence it’s better to set your hands in other languages to solve respective problems.

Consider Machine Learning Using Python; next to R, Python is the encompassing multi-purpose programming language all the data scientists should learn. Loaded with incredible visualization tools, machine learning techniques, Python is the second most useful language to learn. Grab a Python certification Pune today from DexLab Analytics. It will surely help your career move!

Interested in a career in Data Analyst?

To learn more about Machine Learning Using Python and Spark – click here.
To learn more about Data Analyst with Advanced excel course – click here.
To learn more about Data Analyst with SAS Course – click here.
To learn more about Data Analyst with R Course – click here.
To learn more about Big Data Course – click here.

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Streaming Huge Amount of Data with the Best-Ever Algorithm

Can you measure water coming out of a fire hose, while it’s hitting your face? No? Then how would you calculate the amount of data that is constantly being churning out of numerous social media platforms? In simple terms, it’s not feasible, unless you opt for streaming algorithms – these are computer programs that execute such on-the-go calculations.

 
Streaming Huge Amount of Data with the Best-Ever Algorithm
 

Data flow is constant and humongous – in order to strategically record the essence, the rest of the data is mostly forgotten. A large pool of data scientists is constantly looking for ways to build a better, improved streaming algorithm, but now I guess their search has come to an end, they have invented something incredible to vouch for. This new, best-of-the-lot streaming algorithm performs miraculously by grasping just what it seems to be necessary, ignoring others. It remembers just that which it has seen the most, and that gives it an upper hand.

Dexlab

The Future of Risk Management: Triggering a Technology Dividend

Many factors are constantly shaping and reshaping the structure of risk management today – including global geopolitical inconsistency, macroeconomic headwinds and increasing number of cyber activities – which is extensively damaging and recurring. All this is leading to elevated risk perceptions.

 
The Future of Risk Management: Triggering a Technology Dividend
 

The nature of risks has changed over the years too, as well as the manner of addressing them. Today, to mitigate risk issues, technology plays a crucial role. Headwinds like global and Asian accelerating debt levels, lower projection of productivity growth, increasing levels of policy uncertainty and constant increase of US interest have created a lot of prominent macroeconomic challenges, especially in export-oriented Asian economies. Topping that, budding risks from technological advancements are on the rise, exposing industries to newer challenges like cybersecurity and data fraud.

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Internet of Things: It’s Much More Than What It Appears to Be

What’s all the hype about “the next big thing”? Have you got it yet? Nope? It’s not owing to a lack of imagination, but an observation.

 
Internet of Things: It’s Much More Than What It Appears to Be
 

Currently, the Internet of Things is the big buzz. It’s all about enhancing machine-to-machine communication – being structured on cloud computing and systems of data-gathering sensors, the connection is entirely virtual, mobile and instantaneous.

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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.

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Explaining the Everlasting Bond between Data and Risk Analytics

Explaining the Everlasting Bond between Data and Risk Analytics

 

The use of data analytics is robustly expanding in the financial sector – and the risk landscape is changing pretty fast. Every day a new innovation in the field of risk analytics is making its way, and sometimes some new risks and its respective strategies are popping up just around the corner. The rise of big data, artificial intelligence and advanced analytics helps companies gain valuable cognizance from data. Computing power, the Internet of Things, drones and machine learning are some of the latest new-age tools to assist companies in taking better decisions, hence increase future profitability. Alike, risk managers implement market risk analytics and big data to manage their day-to-day work activities, while identifying, ascertaining and mitigating risks.

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Is Change the Only Constant: How Analytics has Changed, while Staying the Same Over the Last Decade

Data analytics is evolving. Coupled with Big Data, it is changing the topography of almost everything.

 

Is Change the Only Constant: How Analytics has Changed, while Staying the Same Over the Last Decade

 

Each year, more and more companies are allocating their time and budget to exploit and understand vast pools of data strewn across them, both inside and outside company files. Of course, Big Data and Analytics is selling like a hot cake today, but what is its story of evolution? How the technology flourished 10 years back?

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DexLab Analytics Organized Mock Interview and Resume Building Workshop by Industry Expert

data science

A constructive mock interview and resume building session is a game-changer. Imbibing in-demand analytic skills is tough, but gearing up to crack high-flying job interviews is tougher. And DexLab Analytics addressed that point by curating an intensive resume building workshop on 20th October 2017. The session was headed by Mr. Tanmoy Ganguli, Program Director, DexLab Analytics at the Gurgaon centre in three time slots: 2-4 PM, 4-6 PM, 6-8 PM.

What is a mock interview?

Mock interviews prepare you for the real interview challenge. They enable the candidates to gain some notion about what sort of things they are going to experience during real interviews, while helping them deal with hard times. Often, these kinds of preparatory interview workshops are organized by data science training institutes in Gurgaon that seek ways to train their students to explore the wide vistas of job opportunities across various industry domains. DexLab Analytics is one such pioneering institute that takes the initiative to cater for the needs of its aspiring students, and these kinds of resume building sessions work wonders.

Over a period of time, DexLab Analytics has garnered a lot of good reputation based on the level of training they provide. The trainers working here are industry experts possessing all the needful knowledge regarding this particular field of study, hence learning from them would be fun. Their intensive data analyst courses and workshops are prepared in tune with the latest industry trends and development taking place, hence are high-on-value.

The best part of the story here is that the intensive resume building workshop was conducted by none other than our very own honorable program director, Mr. Tanmoy Ganguli. He has been in this industry for years, and possesses incredible expertise in the domains of SAS, Credit Risk Modelling and Regression Models. Being a key influencer, the sessions presided by him are a sure not-to-miss things for students.

What people learned from this session?

Resume building and mock sessions drastically reduce the anxiety levels. They equip the candidate with the needful interview questions that might be asked in the actual one. The interviewer and the trainer who conducts such events feed the candidate with needful responses that precisely tackles a candidate’s potentials and shortcomings. No one is perfect; hence the mock interview sessions help the candidates in becoming a better person, both knowledge-wise and skill-wise.

So, if you are one of them who want to pull up your career dreams of bagging the highest-paying job in the world of analytics, DexLab Analytics would be the right place for you. Right from imparting crucial skill-based knowledge to providing needful advice regarding how to crack a job interview, the event organized by DexLab Analytics is the best way to gather extensive knowledge to nail the best job in town!

Interested in a career in Data Analyst?

To learn more about Machine Learning Using Python and Spark – click here.
To learn more about Data Analyst with Advanced excel course – click here.
To learn more about Data Analyst with SAS Course – click here.
To learn more about Data Analyst with R Course – click here.
To learn more about Big Data Course – click here.

Dexlab

Cyber Value-at-Risk Model: Quantifying the Value-at-Risk

Cybersecurity attacks are the new potent threat to businesses. Diligent professionals and big mouth board members have started reviewing their company’s cybersecurity frameworks, while establishing better security controls and discerning deeper insights about the business impact of cybersecurity attacks: what kind of risks are they exposed to? Are they expending too much and need to curtail down? What amount of risk can be reduced using the proposed info security budget? Cyber-insurance, will it fetch better results?

 

Cyber Value-at-Risk Model: Quantifying the Value-at-Risk

What objectives to secure with Cyber value-at-risk models?

This is the epic question that has triggered the development of Value-at-risk models, especially in the domain of information security. Also known as Cyber VaR, these models are a game-changer. They offer a sound base for quantification of information risk coupled with infusing discipline into the whole process.

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Embedded Analytics: How it’s Revolutionizing Businesses Today?

Embedded Analytics: How it’s Revolutionizing Businesses Today?

 

Analytics is the key to modern business growth. But, developing it as a highly interactive analytical interface is challenging enough to exhaust the time and resources both. As a result, many businesses are shifting their focus to Embedded Analytics (EA) for their operations, workflows and decision-making capabilities. This new breed of analytics, known as Embedded Analytics helps businesses leverage the power of data to process them in the most useful manner.

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