10 Things Most People Don't Know About data analytics courses london

[Esperanza Tusing]

As organizations get flooded with vast amount of data on a daily basis, it is becoming extremely difficult for them to meet the demands of customers on a continuous basis.

™

Analyzing and processing such a humongous amount of data is a complex undertaking. To avoid issues attached with handling big data, organizations have now started to adopt the methodologies and techniques of big data.

Organizations must hire professionals who have the skills and expertise to deal with data; and these professionals are defined as big data analysts or big data professionals.

BENEFITS OF CERTIFICATION

1. Career Growth

It has become vital for every organization to adopt big data methodologies to gain a competitive edge over others. This in turn has led to an increase in demand for the data professionals who can effectively handle, analyze and process data, resulting in a huge growth in career prospects for those who are certified in data analytics. Today, the job market is predisposed towards people with analytical skills and a strong knowledge base.

"Analyst" is now a buzzword for choosing the right career option.

2. Better salary

Since the demand for data professionals is accelerating exponentially, the pay package for such candidates is also showing an upward trend. The job of an analyst is very well-paid and highly reputed. The popularity and increasing demand for skilled professionals in the field of analytics is the major reason for the booming pay packages available to suitable candidates. Getting certified in analytics can assist you both personally and professionally.

3. Better job opportunities

Nowadays the focus of industries in each and every sector is on organizing, analyzing and interpreting data more effectively. This helps the organization to turn big data into meaningful information that can further help an organization to function effectively. There is an urgent need to attract as many experienced and skilled professionals as possible, proficient in the requisite techniques and methodologies. Today, rewarding and fulfilling job opportunities are available for those who are certified in analytics. They get employment as Data analysts, Data Scientists, Hadoop Developers, Big data Administrators etc.

WHY SHOULD ONE PURSUE AN ANALYTICS CERTIFICATION COURSE ONLINE?

To expand your professional opportunities to serve current job prospects better, you can enroll in an on-line certification program, without going back to school to get an advanced degree.

Pursuing Analytics certification courses on-line is time and cost effective. You can work at your own convenience and pace, making on-line certification a better option. On-line certification programs are less expensive than a full-time academic degree or a diploma. On-line certification programs will not interrupt your job or affect your earnings. Training sessions can be accessed from anywhere and at any time. This makes on-line certification courses an attractive and practical option.

Data science involves organizing and interpreting the huge amounts of data irrespective of nature, be it structured or unstructured.

The analysis and visualization require the possession of formidable skills in Programming, Analytics, Mathematics, statistics, business acumen, and communication.

Let's have a brief discussion of each and every skill essential for becoming a data scientist:

a) BUSINESS KNOWLEDGE AND ACUMEN

The contextual understanding and the knowledge of the industry in which you are engaged assist you in having a proper and detailed analysis of the data analytics courses uk huge amounts of data. The effective communication skills too play a vital role in performing the roles and responsibilities of a data scientist.

B) TECHNICAL AND STATISTICAL SKILLS

In-depth knowledge and understanding of the tools and methodologies like SAS, R, Python, etc. are very crucial. Without having a complete knowledge one cannot deal with the large datasets i.e. you would not be able to manipulate and process the data.

C) PROGRAMMING SKILLS

The programming languages such as SAS, R, and Python etc. play a crucial role in analyzing the data. If you wish to go for data science, then having a hold on any of these is essential. It all depends upon which language suits you.

D) VISUALISATION SKILLS

The analyzed and interpreted data has to be presented properly and systematically to the top executives and the management. The effective and efficient visualization skills assist you in visualizing and presenting the useful information extracted in the form of reports.

E) COMMUNICATION SKILLS

The effective communication skills help in communicating the results obtained to the business managers and decision-makers to further take the smarter and the more logical decisions.

The possession of the required skill sets, the knowledge base, the detailed knowledge of the tools, methodologies and the techniques leads you to the roadmap of becoming a data scientist.

WHAT ARE THE ROLES OF DATA SCIENTISTS PRESENT TODAY?

The field of data science opens up a lot of growth opportunities in the lives of the aspirants pursuing data science by offering a huge number of job opportunities with handsome salary packages.

There are various job roles available in the field which are mentioned as follows:

1) Data Architect

2) Data Analyst

3) Data Engineer

4) Data Mining Engineer

5) Business Intelligence Analyst

The humongous amount of job opportunities available in the field of data science makes this field promising and secured for the future of an individual. It shifts your career to a swearing field by promising high job prospects and salary prospects.

The most important role of the big data wranglers is that they use their analytical powers to unearth the hidden business solutions for the complex business problems and situations

The importance of data science in the Organizations or the business firms or for the entrepreneurs is no more a doubtful aspect to be dealt with. The hype and benefits involved are evident from the fact that data science is the lifeline of every business and is responsible for its growth and development.