How Hadoop Adds Value utilizing the framework for advanced and complex data analytics

Students in Hadoop training in Mumbai undergo a lot of practical training for utilizing the framework for advanced and complex data analytics.  They get huge databases spanning millions of records and are exposed to the hands-on approach to use Hadoop. There is a reason why this framework is being used for training as well as in real life business scenarios utilizing data science.

 Here are some reasons why using Hadoop Training In Mumbai can add an edge to the job responsibilities of the data scientist:

 1 – Availability of huge datasets

A data scientist and trainee in Hadoop training in Mumbai works best when he has at his disposal a huge dataset. This way filtering, slicing, and dicing and outlier detection becomes easier. In the past, datasets were not available and stored at one place in a consistent format. Even if they were available, they were costly. This is why Hadoop proves to be a great option to have in the hands of a data scientist.

 2 – Better data exploration

If you have passed Hadoop training in Mumbai then you would know how effective it is to have a working environment. Be it R, SAS, or Matlab, experts’ need lot of computation prowess which can prove to be expensive. With the scalable architecture of Hadoop, it becomes easier for SAS experts to explore data on the entire dataset instead of using sampling.     

 3 – Schema-less architecture

Traditional RDBMS requires a fixed schema based definition into the database before feeding in the data. However this is not the case with Hadoop with its ‘Schema on Read’. This way SAS experts or students of Big Data Training In Mumbai do not need to go into a separate project involving schema redesign.

 4 – Better preprocessing

If you have undergone Hadoop training in Mumbai you would know that 80% of the data analyst’s work is data collection, wrangling, transformation, and cleaning. With Hadoop, such preprocessing over distributed datasets becomes easy.

 Looking at these amazing benefits businesses derive from it is no surprise that major corporations like Facebook and Microsoft utilize are using Hadoop to employ large scale machine learning and data science for their business needs. As a trainee in Hadoop Course Training in Mumbai it makes total sense to concentrate on Hadoop, complete your course, and then take up a lucrative opportunity at one of the companies looking for a great Hadoop expert.

How to Utilize Data Analytics in Healthcare

As a student of Sas Training In Mumbai you would be aware of the numerous practical benefits of data analytics. With the wide growing availability of data, business owners are increasingly looking at SAS experts to carry out advanced data analytics and uncover insights that were previously hidden from the eye of the business owner.

Want to check out how you can utilize expertise gathered from Sas Training In Mumbai into the healthcare domain? Then read find out ways in which data analytics can be employed to enhance healthcare:

1 – Students of Sas Training In Mumbai know the first rule of successful data analytics – a well performing EDW or Enterprise Data Warehouse. By providing a robust EDW, analysts can login to a single interface and access all the healthcare data from a single point. It also provides advantages like security, metadata, and auditing efficacy.

2 – In Sas Training In Mumbai, a key component of the curriculum is testing the data. Likewise, data analysts need to be provided with a proper testing environment. Consider using the testing environment as a sandbox, to which analysts can add append, or remove data for their testing purposes. Restricting access to the testing environment restricts their performance and the accuracy of the outcomes.

3 – CIOs often tend to provide step-by-step processes to the SAS experts. However this is not a viable method to extract the maximum from them. For a student of  Sas Training Course In Mumbai we strongly recommend that they be provided with direction rather than instructions at every single step. This will ensure that the final outcome is in line with the expectations from the business manager or the CIO

4 – For trainees of Sas Training In Mumbai it is clear that the use of healthcare data discovery tools often augments their efforts. With appropriate Business Intelligence tools available at the right time, they can get more value from their entire analytics process. A BI tool that allows the data analyst to drill down into trends and patterns would a suitable one for the expert.

Data analytics executed by trainees of Sas Classroom Training in Mumbai are increasingly proving their mettle in various fields, and it is no surprise that healthcare is one of the prime beneficiaries. Be it at the patient care end or the hospital administration end, SAS experts are widely revered for their expertise in unlocking potential from mere numbers.

How a BI career compares to a data scientist?

With many students going for Data science training in Mumbai, it is obvious that they will be facing a lot of terminologies like data analysis, forecasting, modelling, k means, algorithms, and Business Intelligence (BI). We see a lot of students being confused about whether a Data Science Training in Mumbai wouldalso cover some of the fundamentals of BI in the curriculum.

In order to eliminate such doubts, we have come up with this post. We will look at how the Data science training in Mumbai would differ from that of a BI course student.

To start off let us see where they come in handy. Both are needed to make sense of the huge volumes of structured and unstructured data that is emanating from diverse sources in different formats. With such a rich and ready availability of data, a data science training Mumbai trainee as well as a BI student would focus on unlocking insights from these huge data sets spanning millions of rows of data.

 Now we will look at some fundamental difference between the two hot and trending career fields -  

 1 – Knowledge awareness

A BI analyst will need to work with an already analyzed set of data and then come up with recommendations and insights that will help provide a direction to the strategy formulation of the business leaders in the company.

On the other hand, data scientists would be big time data wranglers. As a student of data science training Mumbai would know, they need to spend a lot of time arranging, cleaning, and organizing data so that they end up in a consistent format and uniform layout.

 2 – Technologies used

The technologies that a Data Science Classroom Training Mumbai student works with is totally different from what a BI student works with. A BI student will focus a lot on Excel and its advanced concepts. They will then move on to specific BI tools like Tableau, Qlik, Pentaho, Yellowfin and SQL. This way they carry out a lot of reporting, charting, and presentations on these tools to convey the insights to non-technical persons like business users and CEOs.

In comparison, a student of data science training Mumbai would need to work on tools like R, Scala, Python and SQL along with proficiency in machine learning and statistics.

 To conclude we would say that a Data science training Mumbai student would perform all the more better if he has basic knowledge of BI tools like Like and Tableau.

BI vs Data Science - The difference

In a world where jargons are increasingly sued and encouraged, it is common for students of Data science training in Pune to get confused between Business Intelligence (BI) and Data Science. If you too face this dilemma then you are at the right place. In this post, we will have a look at the differences between the two vastly popular terms, so that you can get your facts straight.

1 – What it entails

BI is more straightforward as compared to data science. While BI is concerned with the presentation of data that has been analyzed, data science goes one step back and is concerned with the actual analysis of the data (including its pre-processing and cleaning).

Those who are opting for Data science training in Pune would know that data science uses complex tools and algorithms to predict or analyze what could happen and forecast the future with a better degree of accuracy.

So, while BI would answer “What has happened (summary) and what should be changed?”, data science would focus more on “Why it has happened and what will happen in the future?”

2 – Technology difference

It can be said that BI analysts explore past trends and present it to the stakeholders, while data science tries to forecast the future using the past trends and evolving dynamic variables associated with it.

As any trainee in Data science course training in Pune  would corroborate, a data scientist will help mitigate the risks involved in an uncertain future. This is done by providing valuable information like topline, risk predictions, and costs forecast.

3 – Vocational difference

If you are looking to complete Data science training in Pune and start a career in data science then remember that this field is far more extensive than BI. The main objective of BI would be to assist in letting the management make business decisions that impact their growth in the right way.

On the other hand, an executive working after completing the Data science training in Pune would need to arrive at decisions using algorithms, past data, and predictive modelling. They will need hands-on experience on languages like R, SQL, and Python in order to be effective at their job.

With these differences, hope it is clear for a student of Data science training in Pune about the difference between Business Intelligence (BI) and Data Science. Do write to us and let us know your views.

SAS Windows and Code Structures Worth Knowing

An important component of SAS Training In Mumbai is the number of windows and code structures that a programmer has to work with. Today we look at the major types of SAS window interfaces and the key code structures types

SAS Windows

With SAS windows, SAS Training In  Mumbai becomes smarter and more effective. It contains a lot of utilities needed in code execution and compilation.

• Code window

This is the editor interface. It is used by coders to start coding from scratch

• Log window

This windows shows the status of your program execution. It shows all the error messages and alerts that come up during the code compilation

• Output window

When you write a particular code, you will need to see the output for the same. The output window will show you the output you will write in the editor

• Result window

This view shows all the results of different modules / programs running in a single session. Needless to say, when the session is over the result widow is reset to blank

• Explore window 

This feature of SAS Display Manager lets users access to the contents of SAS data sets and catalogs with their metadata.

SAS Code Structures

Students of SAS Training In Pune  will also note about the different types of code structures needed to compile in SAS

-          DATA – This step create the SAS data set and then passes the data onto a PROC step

-          PROC – This step is used to process the data with the given SAS commands

There are some rules in order to build a valid code structure in SAS program

-          Nearly every line of code will begin with DATA or PROC

-          You can use the RUN or QUIT command to end the SAS code

-          A semi colon is necessary at the end of every line of code

-          You can write each code in a separate line or write multiple codes in single line. Of course each code must end with a semi-colon

-          SAS codes are not case sensitive. So commands given in full caps or regular way will still compile in SAS

-          You can define a new user- defined library by providing the command LIBNAME. These are permanent libraries.

To wrap up

Hope your SAS training Mumbai will be augmented with this knowledge about SAS window interfaces and the key code structures.

Data Science and its Applications in HR

One of the exciting fields for students passing a course in Data Science Training Pune is to get into HR analytics. With the power of analytics available to HR managers, they have more than just ‘instincts’ to go with at every stage of the talent development process – right from interviewing and on-boarding to performance appraisals and exit interviews. 

With bright young minds passing Data Science Training In Pune these decisions become increasingly accurate and meaningful. Hence it is no surprise that companies are investing big time to bring on-board data scientists, analysts, statisticians, and data preparation experts.

What do they do?

For a student of interested in making it big in HR analytics, here is a glimpse of what they do. These specialists work with the HR teams to devise, design, and deploy well-defined analytics that seeks to meet the organizational goal as far as its people are concerned. A great HR analytics too will utilize HR data and interpret this big data to transform numbers into useful insights.

Benefits of HR analytics

1 – Better decisions on hiring and interviewing

Historical data of job seekers can be analyzed to improve hiring decisions made by trainees from DataScience Training Course in Pune. With the help of predictive modelling you can take decisions and strengthen your hiring function.

For instance if you hired 30 candidates and 15 out of them from a particular historical data may fail at the job duties, then there are high chances that you may not hire people from similar backgrounds again in the future. With a lot of data from other recruiters’ databases, social media, and applications, HR analytics can be truly boosted with the help of data science training Pune.

2 – Better training

Training is a major cost overhead needed to bring new employees in sync with the culture and ways of working within an organization. Gaps in training at major milestones of an employee’s life and lead to many problems. A good student of Data Science Training Pune will look at the multiple patterns and see how to best optimize training in order to attain maximum yields for a lower cost.    

With these benefits it makes total sense for a student of Data Science Training Pune to look at HR analytics as one of the more lucrative career options. He can get total training in data science methods to apply in corporate real life.

The Role of a Data Scientist in Business

If you are undergoing Data Science Training Mumbai then you may wonder about the importance of a data scientist in a real life corporate world. Let’s cover the job responsibilities that a data scientist carried out to add relevance and context to decision making.

Big data analytics and data science have now made significant inroads into different industries and multiple functions, thanks to the value they provide in business decisions.

With data science businesses can enhance product development as per their specific customers’ preferences. They help deliver a better user experience to customers. But that’s not all, Data science course Training in mumbai students would discover that data science also makes decision making faster and more data backed, rather than going in blindly.

Here are some activities that Data science training Mumbai students would look forward to

1 – Cleaning data sets

Data sets are received from diverse sources and in various formats. A data scientist is tasked with preparing the data without losing its integrity or reliance. He manages the data deluge and prepares the infrastructure needed to store it the smart way in order to facilitate the further processes of analytics and visualization. This makes the entire management decision making process more fruitful and intelligent

2 – Next gen innovation

With the help of trainees fresh out of data science training Mumbai, the chief data scientist can augment daily responsibilities with innovative measures like machine learning algorithms, deep learning, predictive modelling, and accurate forecasting. While not all emerging companies would be ready for widespread innovation, a data scientist would help bring in the processes and infrastructure needed to foster innovation across the board

3 – Better profitability

With the functions of data set cleaning as well as collecting data assets strategically, a data scientist can add direct value to the business top lines. Trainees of data science training Mumbai are a vital asset to companies that leverage data for their growth. Bringing on board data science executives will help liberate helpful insights from data for maximum business benefits.

It is clear to students of data science training Mumbai that the field of data science offers a lot of potential for executives to excel at various responsibilities. Almost 3/4^th of the responsibilities involve making sense of the huge influx of data that hits an organization. Towards this they can collect the data and prepare it for better analytics and data visualization outcomes.