Ineffective training impact!

If you are an individual, learning a new skill is a very import part of your career decision making and if you are a corporate, your employee training is one of the most important function of your learning and knowledge department (L&D).

Obviously you expect your training to be good, effective and adds value to the career or the day to day work. A poor training can result in just opposite!

What can be the reason for an ineffective training? There can be a number of reasons.

Content – It might be one of the most important reasons for your training to be not good. Content many not be updated and is outdated. Or it may not be really relevant to the subject of the training. There are many training online available at a very huge discount and many of times you will see that the training vedio is based on a older version of product. That definitely makes the training irrelevant then.

Training delivery and communication – Not everyone can be a trainer. A trainer need to engage with his/her students. And a clear communication is very important for a proper engagement with class. A poor verbal communication will lead to poor training experience.

No of participants in the class – May not be very important, but it does affects the training. For a semina or webinar, the more is not a problem. But for a training an optimal class size is important.

Student Profile – It is very important that the student profile of the class is also quite well thought of. There is no point in providing a trained archaeologist a training on astrophysics. Every training should have a set of formal pre-requisite.

 How does a bad training affects?

As an individual you will definitely loose interest in subject and it will be a waste of effort and money. If you are learning a new skill for you newly assigned work, this can severely impact your morale and productivity. It can also affect negatively towards your career decisions.

As a corporate you employees will become less motivated for work. Employee training is generally part of your on-baording process and a bad training at start will be a very bad employee experience.

In ever changing business environment, you would need your employees to be skilled, re skilled in various products so that you as a company remain competitive and a bad training environment can severely hamper your plans.

Employees are greatest asset for an organization and good trainings are very important to maintain a competitive assets!

For an individual re skilling is important to be relevant in ever changing job market. You need to make sure that your spend your time and money on trainings wisely..

Good luck

Team Hellotrainers!

 

 

 

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Should I run behind data analytics training?

Data Analytics and Big data is buzzword now days. Every one is trying to catch this train! As an IT professional it makes sense to re-skill and keep yourselves updated with the new technologies.

But the question is should you just learn what is trending? Today every one is talking about analytics, so should you learn Analytics?

There are lot of companies providing on-line and off-line training in Analytics domain. It’s a big market today. But should you just jump into it, or may be stop and do some analysis yourself before taking the decision.

Let me tell you why?

Most of the analytics as we see today has been there in past as well.  It’s the same reporting but with advanced features which helps in slicing and dicing the information in a more better way. There are many tools to do that. In old legacy system there used to reports and sub-reports, dashboards and sub-dashboards and what they used to to essentially, present data in consolidated form or detailed form. If you needed a different view of data, you would probably ask your IT team to create a new report.

What today’s tools have done is that this power of creating reports and views has been given to end users. But some one with in IT still needs to create the report.

But today, analytics is much more. It is much advanced. Slicing and dicing information is one part of it. It has forecasting and prediction. I involved implementing statistical models to achieve that. At more advanced level it involves Machine Learning and AI. And all these involves specialized skills and education.

For example some one with a formal education in statistics might be able to understand and run a good statistical model. Some one with very good programming language would be needed for an expertise on AI or ML.

Not every IT professional will actually fit into Analytics because what it starts from a simple reporting and then to advance visualization to advance analytics (data science).

From my perspective you should look for your interests in one (or many if you wish to)  of the below area of analytics and try to get a mastery into it.

As a trained computer engineer you might find Visualization tools (like Tableau, Qlikview), big data tools (like Hadoop), ETL tools (like Microsoft IIS) more interesting. While as a trained mathematician, statistician or a economist you will find statistical modelling using R or Python more interesting.

So its all depends on your interest. I have seen people just rushing to do the training. These training cost money and hence I feel that you should put all reasoning before taking up any such course.

-Sanjeev

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Configuring word press blog for multiple images

If we see “uploads” folder in wp-content we will find that there are multiple copies of same image, but of different sizes.

This is because word press creates 3 images by default. You can find this under

Settings => Media  

1

If you do not want word press to generate any of above size images, just set max width and height to “0”

Also go to “functions.php”

search for “set_post_thumbnail_size”

Comment these lines (there may be multiple lines), and this will stop WP generating multiple images.

 

Hope above helps!

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IOT as Career Option

IOT

 

Internet of Things – Also called as IOT is the new buzzword in the IT industry.  In this blog we will try to give a short introduction on IOT and what career opportunities it offers.

Let’s first try to understand what IOT is. IOT represents a set of physical devices connected digitally.

Let’s try to understand this further with an example. You would have heard a lot about wearable devices. You wear the device on your wrist and it monitors your heart beat, BP, how many steps you have travelled, how many calories you have burnt, how much you slept etc and all this is available on you mobile phone via an app.

Above is a simple but very good example of IOT. You wearable device has sensors to monitor every parameter and is then connected to phone which can analyze and present data. It is like these two devices talking to each other. What technology they use is not important, but what is important is that to understand that it is possible to make two physical devices talk – digitally.

Now think of the whole world. There are so many things generating tons of data and passing this data to each other. Your cars captures so much of data when you drive it. The flight, the factory machines etc etc .. all of them generate tons of data and then pass on to each other.

IOT, provides framework, tools, technologies, processes, hardware devices etc , to make this communication easier. How it is done? Every device is assigned a unique identifier and this identifier helps the device to come alive and then it the task of the underlying technology to make sure that this device is able to talk to another device.

Sounds interesting ? Go ahead explore more on IOT and you will find that there are wonderful opportunities ahead in this field as IOT developer, IOT Architect, IOT Data Analyst, Big Data Analyst in IOT etc.

Good luck!

Team Hellotrainers!

 

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What is a NOSQL Database?

NOSQL

NO-SQL is a new concept. It has been gaining momentum in this new age of technologies and is considered to be an alternative to RDBMS!

So what is NO-SQL?

Well, noSQL is again a database. It just that the data in this database is stored differently. It is meant to solve today worlds problems were data is on a web scale and is many a times unstructured.

This concept of no-SQL was introduced by Carl Strozzi in 1998.

Below are some common characteristics of no-SQL

 

  • Non-relational data model
  • Runs well on clusters and is open source
  • Built for new generation of web applications
  • Schema Less

 

Two important terms there – Non-Relational and Schema less .. Try to get more information on this and you will see how well this fits into, today’s scenario.

Few reasons for a no-SQL Database considerations are

  • High data volume from applications like FB, Twitter etc
  • Challenges of storing larger volume of structured and unstructured data
  • Ability of manage horizontal growth.

 

There are various types of no-SQL databases which we will cover in our next blog. MongoDB, Casendra are a couple of examples of noSQL  databases.

We will cover more latter on noSQL databases, but we leave you with some food for thought on noSQL for now.

 

Happy learning !

Team Hellotrainers!

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Introduction to R – Programming language for Statistical Computing

R pro

Before we go into R and explore what R is, it is important for us to understand what do we mean by Statistical Analysis and Statistical computing.

So lets first try to understand what statistical analysis is.  Wikipedia defines Statistical Analysis as :

Statistical analysis is a component of data analytics. In the context of business intelligence (BI), statistical analysis involves collecting and scrutinizing every data sample in a set of items from which samples can be drawn. A sample, in statistics, is a representative selection drawn from a total population. (Source: Wikipedia)

 

So statistical analysis is a very important element of data science. It involves collecting and analyzing some sample of data to make some inferences out of it. Various techniques can be used for this analysis and that will be future topics for this study guide.

Statistical computing is the connect between statistical analysis and computing. That is, these are various sets of tools / technologies provided and support by IT for statistical analysis.

Now that we have got some understanding of what is statistical computing, let us move on to R.

R is one such tool/technology which help data scientist in statistical analysis. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand. R is a open source, i.e it is available for all to use under GNU license. And this is the beauty of R. Anyone can extend this software based on his/her requirement.R compiles and runs on a wide variety of UNIX platforms and similar systems (including FreeBSD and Linux), Windows and MacOS.

The R environment is an integrated suite of software facilities for data manipulation, calculation and graphical display.

R has libraries which implement various statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and others. R is easily extensible through fun.ctions and extensions, and the R community is noted for its active contributions in terms of packages.

Please do watch out for the next blog in this series – > Introduction to R programming.

 

Good luck!

Sanjeev/ Hellotrainers.in

 

 

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5 good tools for start-ups

images

 

We all know that as a start-up, cost control is the most important activity. Here was some cool tools which are available for free and can be a very effective.

1) Photo editing -> picmonkey.com  : This is something you will need when you start-up. This can be a good option before you hire a dedicated graphics designer.

2) Surveys -> Surverymonkeycom : For creating free surveys. You can also enroll for paid options

3) News letters – > mailchimp.com : This can be a cool thing to have

4) Online meeting – > joinme.com, skype.com : Both of these offer a good online meeting experience

5) Analytics tool for website -> woorank.com

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Learning Guide to Tableau

tab-lear-guide

 

 

Tableau is one of the popular tools with in Analytics space. It is a tool used for data visualization.  It is a “Business Intelligence” tool using which you can connect to various data sources and create interactive dashboards which can be shared with users. From career perspective, if you are looking for a career in Analytics and in data visualization space, you should look at Tableau.

Below is quick guide to your step by step approach towards Tableau learning.

 

Product Offerings from Tableau

 

There are five main products offered by Tableau

  • Tableau Desktop – For individual use
  • Tableau Server – For enterprise
  • Tableau Online –  BI on Cloud
  • Tableau Reader – Read files created by Tableau Desktop.
  • Tableau Public – Create and publish reports online

 

You can download Tableau Desktop from Tableau Website and use it for 14 days after which it will ask for registration.

Below we list down various topics which should go through if you want to learn Tableau.

Tableau Basics

First and most important is to get yourselves familiar with Tableau environment. There are various guides available on the Tableau website itself which can be used for this learning and which we will refer for other topics as well.

Refer to the link below

http://www.tableau.com/learn/training?qt-training_tabs=1#qt-training_tabs

The above link has various study material on the basic topic like getting started with Tableau, what the tool looks like, what are the various ways of distributing the reports etc.

Also look at below vedio on youtube

Data Connections

Tableau can connect to multiple data sources. The example and training material mostly talks about the connection to excel file and you need to put some effort to figure out tutorials for connection to other databases. You can refer to above link and “Connecting to data” to learn more. There also a good no. of videos available on youtube. Below link from “Tech Analytics” have set of 15 vedios which we found good.

Data Connection Via Tableau – tutorial

Creating simple visualizations

Creating visualization is the main goal of any visualization software like Tableau. And Tableau is one of the leading tool in this area. The main aim of visualization capabilities is to provide users a view of what’s going on. Most of these reports are consumed by management to understand how various KPI’s are doing with in Organization,  but management would also like to get certain features so that they can slice and dice data to understand effects of the change in data. Tableau is one of the leading tool in this area. Once you have learned the basic about the tool and also how data connectivity is done, you can start exploring how to create visualizations.

Below is a nice video on youtube => Data Visualization using Tableau

Creating Dashboards/Stories

This is a cool feature in Tableau. The management would like to see the data flow in steps and hence it is great if you are able to tell it in a form of a story so that the information which you want to present flow logically.

Below are some resource which can help you more on this.

http://www.tableau.com/learn/whitepapers/5-best-practices-for-effective-dashboards

http://www.tableau.com/solutions/business-dashboards

http://onlinehelp.tableau.com/current/pro/online/mac/en-us/story_create.html

http://wannabedatarockstar.blogspot.in/2015/02/5-tips-for-better-tableau-story-points.html

 

Advanced topics

One you are familiar with Tableau, its architecture, data connectivity, creating dashboards and stories, you can start exploring more about some advacned topics. We will cover these in details latter.

  • Advanced expressions like Calculated fields, TOTAL functions, Aggregated functions etc

  • Using Tableau on cloud

  • Integrating Tableau with other tools like R.

  • Using Tableau with databases like HANA

  • Creating funnel charts, Pareto charts etc.

 

Hope the above information will be helpful in starting your journey towards learning Tableau. We will write more about various topics in Tableau and other tools in our future blogs. If you have any questions or comments, do write back to us at feedback@hellotrainers.in

Cheers!

Sanjeev

 

 

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Different Practice Area in Analytics

paanalytics

In our previous blog we have tried to cover what is data analytics. I hope that gave you some good understanding and starting point. But in that blog we have looked more from IT perspective. We did not touch upon different functional areas of data analytics. In today’s blog we try to cover some of the major practice areas of data analytics.

Customer Data Analytics:

Wikipedia defines customer Analytics as “Customer analytics ” is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management.” As an example, predicting customer behavior is key for today’s businesses and customer data analytics is one way to address it. We can also say that “Customer Analytics is the art and science of capturing data from business transactions then transforming it into a valuable insights which can be used for guiding and driving your key business decisions”

There are various areas where customer data analytics can be applied. Few key ones are

  • CSAT Analytics (Customer Satisfaction)
  • Customer Segmentation
  • Customer retention
  • Cross selling and up selling etc.

 

Web Analytics

In today’s world, Internet (or Web) is an important aspect of life. Be it individual user or a business. Hence lots of business transaction happens over internet. And hence it is very important for businesses to monitor their engagement with customers on internet. Another important aspect is advertising over internet and there are lot of companies which offer this kind of service. Google is one of them. Google ads are market leaders on this. Business houses are very interested to know what is happening to their promotions on internet and how customers are responding to their promotions. There are various tools available. Google Analytics is a very good tool which is integrated very well with google advertising. The aim is to initiate your thinking in this area. Hence if your interest lies in this I recommend that you start checking this on internet. I will also cover more of this in my future blogs.

Social Media and Text Analytics

This is something very new and a very important area for business houses today. With Facebook , twitter and other social media wesbites, lot on interactions happen over these websites. These websites have a huge user base and hence it offers lots of opportunity for businesses to advertise their products/services on these websites and also engage users. Get their feedback. These website give a very convenient way for businesses to talk to users. And feedbacks can be positive or negative. And hence it is very important for these businesses to analyze these posts and take a informed decision. Since all these are mostly unstructured data (text), it is a different challenge.

This still a evolving field and offers lots of opportunities.

Pricing and Sales Analytics:

Pricing and Sales analytics is an important field. It includes areas like Cross Product forecasting, elasticity models, price optimization scenarios, profitability analysis etc. All these functions are very important. Objective includes identifying problem before they get out of hand for example Inaccurate Sales forecast, low profit margins, low business, identifying sales opportunities etc. You might be thinking how IT and Data Analytics fits in here. Well understanding data is a functional domain and data analytics do fit in here, but also need to make this data available with the desired quality and accuracy is the function of IT. There are specific software available for this kind of analysis.

Fraud and Risk Analytics:

Very important area in finance domain. Specifically for companies in banking and insurance sector. It’s about forecasting uncertainty. A simple example, you take a loan from Bank, in background the bank does lot of verification on you. They check your credit history and other parameters. Why do they do that ? They want to understand how risky are you as an individual when providing a loan. And there is a lot of calculation which goes behind it. Some statistical models are run etc to understand the risk and there are specific softwares available to do this. But not only that, the risk nature depends on type of business, customers etc and hence companies need customized models. Hence domain experts and data analytics professionals are in high demand here.

HR Analytics

HR is an important function of any company. One of the biggest challenge for companies is to hire and retain good talent. Retaining a good talent is the key. Human Resource analytics helps provide and organization with insights for effectively managing employees and employees are key to achieving business goals. They are the most important asset for any company. It is important to identify what data to capture and how to create model around it to project and predict HR capabilities. Almost all big com

Retail Analytics

Retail is one area where a huge amount of customer interaction data is generated. Ex POS (point of sales) terminal itself generate a large no. of data every day. This offers a good opportunity for retailers to employ analytical methods as decision support tools for operation and management tasks.

Visualization

We covered about this briefly in our previous blog on introduction to data analytics. Let’s look into more details on why do we need data visualization tool.

In today’s competitive business environment, quick decisions are key. There was tome when simple reports were sufficient, today executives need to present data in such a way that it tells a story which is easy to comprehend. The dashboards today needs to be more attractive as well as interactive. And hence graphics elements of a dashboard has become very important.

There are many tools in market now to achieve this. For example QlikView and Tableau.

There are many more areas , like Sports Analytics, Marketing Analytics, Health Care, Big Data Analytics etc … which are various streams in analytics. My aim for this blog is to give you a feel of the vastness of this area. It’s not just about gathering data and creating reports out of it.

If you still have any questions around analytics you can write to  analytics@hellotrainers.in

Cheers!

Sanjeev

 

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5 good career options apart from Engineering, Management and Medicine

career-options

There was a time when parents always thought of only four career options for their kids. The first one was to get a government job and then other options were either engineering, medicine or management. The time has changed, today kids have lot of career options to choose from. We are listing down 5 career options which can very interesting.

Medical transcription: 

  • Also known as MT, is an allied health profession, which deals in the process of transcription, or converting voice-recorded reports as dictated by physicians or other healthcare professionals, into text format.
  • Medical transcriptionists listen to dictated recordings from doctors and medical professionals and transcribe them into written reports, correspondence, and other materials. They use a headset to listen to the recordings, a computer or word processor to transcribe the recordings, and a foot pedal to pause the recordings as needed. As they listen to the recordings, medical transcriptionists are responsible for editing grammatical errors. 
  • Experienced medical transcriptionists also have possibilities to work from home. 
  • There is no special degree required for becoming a medical transcriptionists , but a good command over English and a degree in medicine, pharmacy or science is definitely a plus.
  • Experienced medical transcriptionists earn good salary in India.

 

Interior design/decoration: 

  • With a lot happening in construction sector, both in commercial and housing Interior design and decorators are in demand. Though both of these profession look similar, they are different in nature, though complement each other.
  • Interior designers study and suggest the best or optimum usage of an interiors of a building.
  • Interior decorators are people who suggest how to decorate the interiors of the house.
  • Generally interior designers can be interior decorators, but not vice versa.
  • There are certificate courses in Interior designing and decoration. Interior designers or decorators have good career option, however starting up can be difficult and challenging.  But as you gain experience, remuneration increases. Experienced consultants are paid by hour.

 

Vastu consultant:

  • You might be surprised that we list Vastu consultant here. But believe us, a vastu consultant can be a very good career option.
  • Vastu shashtra is traditional Hindu system of architecture. It deals with design, layout, measurements, ground preparation, space arrangement and spatial geometry.
  • Vastu consultants are experts or knowledgeable in this area.
  • There is not much study options on this area and it is mostly on the job training, however there are few institutes who offer certificate courses in Vastu sashtra

 

Journalism:

  • Journalism is gathering, processing, and dissemination of news, and information related to news, to an audience.
    The media that journalism uses vary diversely and include: content published via newspapers and magazines (print), television and radio (broadcast), and their digital media versions — news websites and applications.
  • Various branches are = Sports Journalism, Investigative Journalism, Photojournalism, Freelance Writer, Mass Communications,    Visual Communications, Foreign Correspondent.
  • There are graduate and post graduate degrees in Journalism.

 

Gem and Jewellery Design:

  • Career options available in Jewelry houses , show rooms and jewelry boutiques.
  • There are various institutes offering Diploma in Jewelry design.
  • Very good free lance career options are available for Jewellery designers.

 

 

All said, the point we are trying to make is that there are many career options available today apart from Engineering and Medicine.

You should look at what interests you. That is very important. In todays time, every career field has a good growth potential. Hence what are you looking for. Do what you like and do it in best possible way ..

Good luck!

Hellotrainers!

 

 

 

 

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