Businesses operating in a highly complex and dynamic business environment are increasingly realising the importance of value in the data they gather for various purposes. As such they are employing an extensive variety of techniques to derive some valuable information and insight from that data. These ‘insights’ are the single most valuable things that are extracted from processing the data that is at an organisation’s disposal.
How data science, big data and data analytics work in the real world and how organizations make use of them can be best explained with the help of a real world example. A farmer say in Punjab grows maize in his agricultural lands. Now, what that farmer need to consider if he wishes to have a good crop. The farmer will be interested in seeds, fertilisers, pesticides, along with labour cost, transportation cost, watering cost, storage cost, etc. Weather is going to another of his major concerns. Ultimately the farmer will also look at the past trends and the prices the crops have been commanding in the market. You will see that the purpose of all this data is to provide insight which will help the farmer optimize his profit.
Data science is a recent phenomenon that seeks to combine mathematics, statistics, programming and the ability to look into things in a different manner. Usually associated with Big Data, the primary job of data scientist is same as that of data analyst but at a significant higher level where the volume and velocity of data crosses a certain level.
What is Data Science?
Data science is a field dedicated to ensuring efficient data cleaning, analysis and execution within an organization. It covers all the procedures involved in data mining. Starting from collecting the data to proper execution into the main line of business, data science serves as an important tool. Its application includes Internet search, digital adverts, and recommended system.
Education for Data Science Roles
The field demands a high level of commitment along with a proficiency in data analysis that comes after only a master degree followed by a Ph.D. (though Ph.D. is not essential, it increases your brand value).Other than that, the field put forward an exigency of certain set of skills that can be acquired from a resilient platform like Koenig Solution. The skills, along with a Data Science Certification, are mentioned below:
- Work experience with unstructured data.
- Thorough knowledge of R. SAS is an added advantage.
- Experience over coding languages like Python, Java, Perl, C, and C++.
- Understanding of Hadoop Platform along with hands-on experience in Hive or Pig.
- Familiarity with SQL database.
Economic Worth of Data Scientist
It is the skills of the Data Scientist that make out the gold from the copper. Thus, their importance in one’s business and economy is of the highest magnitude. No business can operate with data and no data can be used fruitfully without data sciences. Owing to their immense importance, a Data Scientist easily fetches somewhere around is $123,000 per year.
Related Blog:– How to Become a Data Scientist
Big data are humongous amount of data that are beyond the processing capabilities of traditional system. In other words using of all data that are available to gain meaningful insights into a problem. The farmer instead of relying on one two factors like seeds, storage, fertilizers, etc can take into account all factors like water supply, historic supply and demand data, plant productivity, historic weather patterns, machinery cost, etc to increase his yield and profit.
What is Big Data?
On surface, Data science and big data might look alike, but they are as different as North and South Pole of the earth are. The huge chunk of data that can’t be implemented into the line of business via worth aid of conventional techniques and demands special handling is considered as Big Data. The processing of Big Data starts with non-cumulative data.
In layman words, it is a catchphrase which refers to a huge chunk of data including structured and unstructured ones. Its major implementation in retail, communication and finances services where there is a pool of data lying all over.
Also Read:- What is Big Data Hadoop Certification Cost?
Education for Big Data Roles
If you are willing to mark your presence in the cosmos of Big Data then the prerequisites other than a Big Data Certification of this field are:
- High-end mathematics and statistical skills with a master degree.
- Ability to operate the most imperative machinery: Computers.
- Supreme creativity: As the traditional methods won’t work with Big Data, you need to run your creativity horses to chuck out new ways and methods for proper analysis and gathering of Big Data.
- Entrepreneur skills: One should have a thorough understanding of the business to segregate the raw data accordingly.
Economic Worth of Big Data
Without the assistance of a Big Data Scientist numerous data will go in vain. On an average, a Big Data Scientist earns $102,000 per year.
Data analysis refers to the task of compilation and analysis of numerical information. Data analysts look at the numerical data the organization has collected, delve a bit deeper into it and then prepare reports so that people not well-versed with numerical or analytics aspects of things can understand it well and take decisions based on their understanding.
What is Data Analytics?
It refers to the implementation of algorithmic procedures to draw out conclusions. It has made way for several industries like gaming, management of energy, travel, and healthcare owing to its capability to allow them taking improved and beneficial decisions.
Education for Data Analytics Roles
If Data Analytics is your true calling then you should have a Data Analytics Certification, along with:
- Exceptional Statistical skills and mathematics
- Unmatched Programming skills with proficiency in Python and R
- A thorough data insight
- Data bickering skills to map the raw data
Economic worth of Data Analytics
It is his capability which turns a raw data into an important piece of information that an organization could use for its benefit. A Data Analytics easily takes a paycheck of worth $55,000 per year.
How to Make a Career in These Growing Technological Areas?
To making these technologies the ground of your career establishment, you need to attain the right certification. From the links, listed below, you can find out the worthy certification you could sail across with:
- Data Science Certifications
- Big Data Certifications
- Data Analytics Certifications
Keep in mind that good preparation and efficient training is the best way to clear these certifications and build a bright career.
Arun prasath S
(India), Master Hadoop Administration
I went to Koenig Bangalore for my “Master Hadoop Administration course. Instructors at Koenig are very knowledgeable in the subject and they are able to explain it with real time example scenarios. They are able to complete all the topics on time. By the end of the class, I gained confidence in tackling production systems. I would recommend Koenig for anyone who would like to take Cloudera courses in Bangalore.