Data Analytics Certification Training: The Evolving Course

What is Data Analytics: Data Analytics, also known as Data Analysis, is the strategized extraction of business-to-consumer data in both qualitative and quantitative processes to identify trends, both current and future, as well as new opportunities to determine the best decisions for the business which alter according to organizational needs and requirements. This is done for the purpose of categorically identifying and analyzing overall content, layouts, patterns and global trends.

Evolving Role of Data Analytics: Data Analytics has unfolded as a journey because of Data Scientists’ and Data Analysts’ groundbreaking pathway of developing data on trends and such through the compilation of interpersonal or intrapersonal data of social contexts. Over a period of years, Analytics has become multifaceted, with Data Analysts justifying, guiding and prescribing actions for organizations which have allocated capital to develop data analytics in their companies. Organizations are and will be seeking impressive capabilities from data analytics since they have captured and stored massive amounts of data. From governance to choice of new enterprises, this dynamic model has reached a milestone, according to surveys, and will be evolving rapidly in 2018, such as emphasizing more on Data Lakes and thinning down the line between Data Journalists and Data Analysts since both have the imagination and creativity to do either job.

What Kind of Person Should Pursue This: Creativity, the ultimate indicator for being a good Data Analyst, comes from wonder. And wonder is the fundamental requirement for well-researched findings, and to uncover these requires a strong foundation in statistics and the rare curiosity to seek reasons for the assigned phenomenon. Sport is one such area where statistical information is anatomized and debated in thorough discussions. But the range of options or subjects in Data Analytics has no breaking point and no extremity. If you are a person with engaging interests in these, you have come to the right place.

Skills Required and Taught in Certification Training: There are certain technical and business skills and personality traits that are either present in the person choosing this field or acquired through rigorous and healthy self-motivation. Technical skills required are:

1. Programming

2. Database designing

3. Database mining

4. SQL, SPSS, R and/or SAS languages, working knowledge of Hadoop and MapReduce.

Business skills are also required. Not only must you be technical, you must also have the ability to communicate your thoughts. Problem solving, creative thinking and efficient, effective communication are required to be successful in this type of position.

Responsibilities of the Data Analytics Professional: A Data Analyst’s life is multilayered. Responsibilities and work depending upon the level of expertise. An analyst may work as a Data Scientist or Data Analyst, positions which aren’t differentiated by some organizations.

Some duties are:

1. Clean and prune data.

2. Triage code issues.

3. Tackle specific tasks using systems, data sets.

4. Identify new opportunities.

Today’s Data Analysts should be ready for new developments in the field of data analytics and be comfortable presenting discoveries to a conference room full of laymen.

Oracle SQL Certification: 1Z0-051 or 1Z0-061?

The first of the Oracle 12c certification exams to go into production is 1Z0-061: Oracle Database 12c: SQL Fundamentals. Oracle University put this exam into production almost simultaneously with the retirement of the much older exam 1Z0-007: Introduction to Oracle9i SQL. However, the 11g version of the SQL Fundamentals exam, 1Z0-051, is still available. Having two equivalent exams in production leads to a fair amount of confusion among certification candidates. In this article I will discuss the two exams, what is different between them, and how to choose one over the other.

Either will satisfy the SQL requirement for the “Oracle Database 11g Administrator Certified Associate” or “Oracle PL/SQL Developer Certified Associate” tracks. The SQL requirement can also be satisfied by passing 1Z0-047: Oracle Database SQL Expert. However, 1Z0-047 is a considerably harder exam than either 1Z0-051 or 1Z0-061. This is an option that should only be considered if you have worked with Oracle SQL extensively. This article focuses on the SQL fundamentals exams.

The 11g and 12c SQL Fundamentals exams are almost identical in terms of content covered and requirements satisfied for Oracle certifications. Oracle does not require you to use the 12c SQL Fundamentals when pursuing the 12c DBA track or the 11g exam for the DBA track in that release. Any Oracle SQL exam (including retired ones) can be used for any Oracle certification track that has a SQL requirement. For example, the SQL test I took over a decade ago was 1Z0-001: Introduction to Oracle: SQL and PL/SQL. That test has been retired for years, but could still be applied for the 12c track.

While the content of the two exams is very similar, there are a few differences. Both 1Z0-051 and 1Z0-061 contain forty-one topics. Of those, thirty-six are common to both exams. This means the tests have about 88% commonality by topic count. The last section of the 11g exam (Creating Other Schema Objects) was removed from the exam in the 12c version. The topics covered in that section are:

  • Create simple and complex views
  • Retrieve data from views
  • Create, maintain, and use sequences
  • Create and maintain indexes
  • Create private and public synonyms

For the 1Z0-061 exam, Oracle University added a new ‘Introduction’ section with the following four topics:

  • Describe the features of Oracle Database 12c
  • Describe the salient features of Oracle Cloud 12c
  • Explain the theoretical and physical aspects of a relational database
  • Describe Oracle server’s implementation of RDBMS and object relational database management system (ORDBMS)

They also added one more topic to the “Managing Tables using DML statements” section:

  • Truncate data

I have to say that I am very disappointed with Oracle University’s decision to put TRUNCATE (which is a DDL operation) under a section specifically about DML statements. This is not something that makes sense in a test designed for people who are new to SQL. I am sure that OU would be heartbroken to learn of my disapproval.

The 1Z0-061 exam has nine more questions than 1Z0-051 (75 vs 66) and a slightly higher passing score (65% vs 60%). This does not necessarily mean that the test is harder to pass, though. The topics that have been added are ones that are likely to have questions that are more straightforward than the topics that were removed. OU has a certain target percentage of candidates that they want to pass each test on a first attempt. If they raised the passing score, it was because they felt the updated test had easier questions.

I have to say that choosing one test over the other is really a toss-up. The 11g exam is not particularly dated and all of the topics are still relevant. There might be a little bit of long-term benefit in having the 12c exam on your record rather than 11g, simply because 12c will be around after 11g is retired. However, 11g is currently the standard database used in production environments. Very few companies will have moved to 12c yet. In addition, none of my employers have inquired (or cared) about the specific tests I took to gain my Oracle certifications. Pick the exam that makes the most sense to you and you can be confident that you are not making a mistake. Whichever one you choose, good luck on the test.

Data Analytics Certification: Your Key to Building a Successful Career As a Data Analyst


Today’s world is described as data-driven since gigantic amounts of data are being generated on a regular basis across various industries. In the current, highly-competitive scenario, access to it is fundamental for the businesses to have appropriately leveraged information that will give a competitive edge over others. For handling the enormous amount, there is an unprecedented demand for skilled professionals. You can discover how to extract worthwhile information from it and to enhance the ROI of a business by taking up a wide range of analytics certification courses.

The direction that the corporate world is taking today has made IT experts indispensable and the need is for current market leaders to be skilled in how to collect, organize, analyze and interpret data and how to transform it into valuable insights.


Certification is the best method to make a switch to a happening career. Certifications are regarded as proof of competency and expertise that you have gained and they are a trustworthy, accepted standard in this hi-tech world. Certifications are speedy and realistic “crash courses” to gain the necessary expertise as compared to acquiring an advanced diploma or a degree.

Undergoing analytics certification courses can assist you to expand your job prospects and to advance in your career. This certification is not only beneficial for the short term but provides long-term benefits. After learning the ropes of big data and analytics, it will help you make a financially productive career switch.

The best part of undergoing analytics certification is that it is applicable across each and every sector of the industry since all sectors have awakened to the need for adopting big data methodologies and techniques. These courses are also available on-line so now you can learn while you earn, expand your career and boost your job prospects.


The following certifications mentioned are the topmost data analytics certifications preferred:

1) CCA Data Analyst

2) CCA Spark and Hadoop Developer

3) CCP: Data Engineer

4) Certified Analytics Professional

5) SAS Certified Big Data Professional

6) SAS Certified Data Scientist

7) IBM Certified Data Architect

8) IBM Certified Data Engineer

9) CCA Administrator

10) MCSE: Data Management and Analytics


Pursuing a certification course associated with data analytics has become vital for those who want to advance their career in the field of big data and analytics. One must have the expertise and passion to deal with numbers, as working with enormous amounts of data is an extremely complex task; it is almost equivalent to solving a mystery with the help of evidence at hand. Data Analytics professionals use the data to conduct data mining, discover relationships between diverse types of data, test previous decisions and make predictions.

Choose a certification course that suits your career aspirations. There are innumerable career paths available after undergoing data analytics certification such as Data analyst, Data Scientist, Data Architect, Data Administrator etc.