Sas Training, Data Science Analytics and Big data — What’s the Difference?

For student undertaking SAS training at one of the reputed institutes, they might have a lot of queries about their field. While they may get a lot of theoretical knowledge about the concepts and practices used in big data analytics, they might be wondering about the different streams that they can have an impact on when they pass out of the SAS Training in Mumbai.

In order to simplify things this post will help SAS training students to understand the difference between data science, big data, and data analytics.

First off it is imperative to understand that all three fields pertain to the key component i.e. data. Data is all around us in today’s time. Right from unstructured social media data to structured data from past historical reports about a stock’s performance.

What is the definition?

1 — Data Science –students would define Data Science Training In Mumbai that pertains to data cleansing, preparation for analysis and data wrangling.

2 — Big Data — This is the fodder (i.e. massive amount of data) that is used to obtain insights to aid in business decision making

3 — Data analytics — For students, this is nothing but making sense of the individual numbers using data aggregation procedures

Where are they used?

1 — Data Science — This is primarily applied in Internet searches and search recommendation engines for online retail with the help of modeling and algorithms

2 — Big Data — For students Big Data Training in Mumbai is used in retail, financial, and media and communication industry

3 — Data analytics — Is used in healthcare, travel and tourism, and gaming industry

What are the skills needed?

1 — Data Science — In depth experience in Data Science and R, Python, Hadoop and SQL database would count as major skills here.

2 — Big Data — Big Data Hadoop Creativity, analytical skills, math sans stats skills and computer science expertise are major skills needed for a big data specialist.

3 — Data analytics — Maths and stats skills through Data analytics, machine learning, and data wrangling are some of the core skills needed to be learnt by a data analyst. Also by empowering themselves with skills like communication and data visualization and data intuition, they can take their job to the highest trajectory of success and growth.

To conclude this post we summarized the key differences between data science, big data, and data analytics. With this knowledge the students’ SAS training is made more effective.

How SAS training Data Analysis Powers Up Digital Marketing?

SAS training Data Analysis Powers Up Digital Marketing  and Internet marketing holds the potential to drive visibility and engagement of a brand online to unprecedented levels. For quite some time, digital campaigns are stressing on using data analysis to muscle up their planning and implementation. For Best SAS training In Mumbai experts, this means tying up the features and advantages of cutting edge data analysis to drive up the efficacy of digital marketing campaigns.

With the help of data analysis it becomes easier to determine which channels are performing the best. The presence of SAS Classroom training In Mumbai professionals in the midst of marketing executives enables the right allocation of budget to prioritize the high performance digital marketing channels first.

 Here are some reasons why using SAS Course training In Mumbai executives will do a world of good to digital marketing campaigns:

 Targeting made effective

 Visitors use different channels like search engines and social media to visit a brand’s website. With the help of data analysis it becomes easier to determine which channel are being used by more visitors to be directed to your site. This way more efforts can be poured into the channel which are responsible for a higher number of site traffic re-directs.

 Also, data analysis via SAS training Mumbai reveals which page receives least amount of traffic and steps can be taken to optimize it for better search visibility

 Assessing engagement

With web data analysis tools a SAS training Mumbai professional can assess in real time which marketing message resonates the best with the public or target audience.

A classic example is US President Obama’s 2012 re-election campaign which used real time data to build messages and keywords which resonated with the general public during presidential debate.

 Tracking all possible channels

 The SAS training experts understand that the digital marketing ecosystem comprises of a wide range of channels. Facebook, YouTube, Tumblr, Google+, Instagram, Pinterest, email marketing and mobile ads – the list keeps growing exponentially.For a SAS Course in  Mumbai professional it is important to track these and tie it with the overall KRAs of the digital marketing plan; engagement boost, revenue growth, cost reduction etc. are some of these goals that an expert needs to track.

  Alignment of data to goals

Lastly, it is imperative to align the analyzed data with clear identification of the target market and narrowing down on clear marketing objectives.

Through the professional caliber of SAS training In Pune experts, it becomes possible for a properly planned digital marketing campaign to be executed with phenomenal outcomes.

Why Predictive SAS Training Analytics Matters?

SAS training students are aware that predictive analytics forms one of the key topics in the course. With predictive analysis better decision making can be arrived at. Many industry verticals use predictive analysis for insightful strategy design. Here are 3 quick examples

 1 – Aerospace

Predictive analytics taught during SAS training In Mumbai helps the executive to monitor aircraft health. It brings down maintenance costs and boosts aircraft up-time.

 2 – Financial services

SAS training students are taken through examples of financial services by way of creating credit risk models.

 3 – Healthcare

With pattern detection algorithms, SAS training In Pune students can spot asthma and COPD via instant feedback through smartphone app

 Why it matters?

1 – Get a competitive advantage

With the huge demand for bringing out products in a crowded market, predictive analysis can help you craft a difference. Data drive predictive analysis implemented by SAS training students enables predictive maintenance, bring down chances of failure, forecast energy needs, and bring down operational costs.

 A classic example is the presence of sensors in cars. They monitor a car part’s health and send out warning signs to carry out proactive maintenance. This is a far better scenario than being reactive after the car fails on the road.

 2 – Handle Big Data better

Students of SAS classroom training in Mumbai learn that Big Data and predictive analysis go hand in hand. A fine instance is engineering data that collates data from diverse sources like sensors, actuators, instruments, and connected systems.

 Another example is the use of business data that comprises of sales figures, transaction data, and customer feedback. Businesses are increasingly employing predictive analysis on Big Data to gain invaluable insights.

 3 – Enhance data extraction

To obtain immense business value from big data, SAS training Mumbai students employ predictive analysis. With this they employ tools like Spark and Hadoop and carry out accurate forecasting on various KRAs that define the growth and sustainability of a business.

 As an outcome, many businesses effectively acknowledge the immense insight generation prowess of predictive analysis in determining the fortunes of a business.

 These points show how important predictive analysis taught during SAS training Pune it not only boosts efficiencies, but also cuts down on cost overheads. Be it sales, marketing, operations, finance, HR, or management strategy, the technique is employed by many to cut down the risks and improve the efficiency of decision making. This way, predictive analysis emerges as a significant business differentiator.   

How SAS training comes in handy for farming?

Sas Training has been making constant progress, year after year thanks to good quality  And there seemingly is no sector where this aspect of science is not applicable. Its far reaching impact has not spared agriculture also. Though it is difficult to put a finger on any one facet of agriculture that data science andSAS training In Mumbai has transformed, it is sure that it has done quite a lot of it already.

Revolutionary changes in agriculture have been happening since time immemorial. The very onset of civilisation was aided by the proliferation of agriculture. Repeatedly, some invention or another has been changing the way agriculture has been carried out. The John Deere plow in 1838, or the harvester of the 1900s, man has come up with newer and better technology that makes agricultural tasks less laborious than they already are.

Belonging to the technological era, agriculture sure deserves its fair share of upgrading. Enter Big data augmented by SAS training In Pune Big data now helps farmers speed up the growth of their crops and thereby increase yield. Not only that, but it also helps agricultural scientists to engineer robust varieties of crops that are able to grow in harsh conditions. This is a major advancement in the direction of helping famine-struck countries.

Advantages offered by SAS training and data science

An expert with adequate SAS training In Mumbai and pune can easily look at loads of data and run scripts that give him or her the most precise result, based on which farmers plant seeds and thus make the most of the conditions they encounter.

Thanks to data science, unpredictability has now been flicked out of agriculture.

This comes in at the right time as humanity faces its biggest crisis since the time of the Nazis. It is not another terror-causing cult, but famine. The UN believes that famine is one of the biggest threats facing all of humanity right now as 20 million people in Africa die of starvation. SAS training In Mumbai enables data scientists to analyse tons of plant data and contribute to the development of crop varieties that withstand arid conditions. SAS, in simpler terms is Statistical Analysis System, which is a software that helps carry out complex analysis of relatively larger sets of data.

How to get into the lucrative field of data science and analytics

Large companies continue to accumulate data by the second. This data is not a random set of name and numbers but could include anything under the sun including habits, demographics, psychographics etc. In other words this data if put into the proper understandable format is very valuable to any business. This is the reason data scientists and analysts have the job of making sense of the data. Any data can be looked at in many ways and can give many perspectives that can be valuable in many ways.

Why to Learn SAS Programming?

It is not absolutely necessary to learn tools to make sense of huge amounts of data. But managing the sheer volume of data is a task in itself. So knowing some tools that make the job easy is a boon to any data analyst. SAS one of the most popular data languages. Many data scientists swear by SAS programming. SAS is easy to learn and has a Graphic User Interface (GUI) that makes it easy to use. One of the reasons data scientists prefer SAS is that it can read data files created by other statistical tools. So one does have to customize statistical programs to work with SAS.  SAS works on scripts and once you master the art of writing scripts you have mastered the SAS programming language.

How does Hadoop help in data analysis?

Hadoop is an open source software that allows data to be spread over large clusters of commodity servers. Hadoop is one of the most common systems based on Java that allows you to obtain results in a timely manner. For simple needs like design patterns including aggregation, counting, filtering etc. you need Hadoop. For other complex needs you need machine learning which in turn depends on Hadoop to solve problems. Hadoop is a technology that can store large volumes of data and for many data scientists the ability to manage data using Hadoop becomes necessary.

Hadoop is really good at data exploration for data scientists because it helps a data scientist figure out the complexities of the data which they don’t understand. Hadoop comes in very handy in filtering data. When data scientists want only a few of relevant information from a huge amount of data Hadoop makes it easy to filter a subset of data easily. Hadoop also helps in data sampling because it allows similar kind of records to be grouped together.

A fantastic career opportunity awaits data scientists and analysts

There is currently a huge demand for data scientists since large corporations are accumulating all kinds of data all the time. This data has to organized and analyzed so that it can be used for different purposes of running and increasing business. Techdata Solutions has the necessary training courses including SAS training in Mumbai and Pune and Hadoop Certification in Pune and Mumbai. These courses are available in different formats to obtain the know-how to get into this lucrative field. Get in touch with TechData Solution today to find out how to dive into this upcoming profession.