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What is Data Analysis? How to become a Data Analyst?

Data Analysis

All the browsing taking place on the World Wide Web generates large amounts of random data. This data turns out to be quite useful for several companies. In this manner, this data gives an insight into the enigma that is the human nature, which is then employed in designing products, marketing strategies, and improving businesses. This is where skilled professionals, known as the data analysts, come into the picture, to comprehend this data mass for the hiring companies.

 

Data Analysis:

These analysts perform an in-depth analysis of this data gathered from various social networking platforms. These data masses of terabytes are then transformed into applicable information used by various companies to expand and boost their businesses.

A bit like police inspectors, data analysts are employed to gather data, make a thorough analysis, and convert the binary into relevant information, drawing necessary, applicable conclusions for their employers. They, in turn, then utilize these conclusions to plan the future endeavors of their establishments.  The data analyst should require thorough preparation, which would be done by taking Data Science Training Courses by It Professionals.

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Employing data analysts is on the hype since companies are finding new ways to generate user data that requires analysis. According to current market trends, this analysis industry would be double in its worth by 2025.

The salaries of the professional data analysts could be higher depending on the certified professional courses taken, the work experience, and the company’s locality. They are thus enhancing the longevity of the business.

 

Roles of a Data Analyst:

  1. Aiding in goal settling of the company.
  2. Lessening the data masses to only the required one, and classifying it for further, detailed analysis.
  3. Data mining, thus comprehending general patterns in large data sets.
  4. Analyzing and translating gathered data.
  5. In turn, generating official reports for entrepreneurs for them to utilize it.
  6. Designing and maintaining database systems.
  7. Working in coordination with the management, comprehending the needs, and generating useful conclusions.

 

Becoming a Data Analyst:

  1. Through ground knowledge of Statistics including Numerical Analysis, Graph Analysis, Linear Algebra with Regression, Real Analysis. This aids in understanding logic for algorithm formulations by the employer’s demands.
  2. A data analyst is required to gather data of varied origins, convert it into the required format, and load, store, and maintain it in the data warehouses.
  3. Skills in analysis tools like Pivots, Macros, V-lookups of Microsoft Excel recommended for data analysts for handling minor data for speedy analysis.
  4. Reducing the data to only the required and wanted data is fundamental; thus, proficient use of Data Cleaning tools is highly desirable in the analyst, thus decreasing translation and overall computation period. Knowledge of data visualization tools like Tableau is also required for a professional.
  5. Big Data Hadoop usage skill is also necessary as it aids in exploring, sifting, sampling, and summarizing data masses.
  6. Proficient investigation and verification in analyzing the data mass and providing applicable conclusions are also necessary.
  7. Effective communication for conveying the data findings to the non-technical team members is equally important.
  8. Creative thinking and a curious mind to thoroughly understand the client’s demands and formulating the algorithms necessary for the job could add to the hat’s feathers. Certification guarantees the client that the hired professional is proficient in their data analysis trade. They are thus broadening the career horizons of the analyst in tough competition.

 

Associate certified Analytics Professional (ACAP):

Institute for Operations Research and the Management Sciences (INFORMS) provides this certification. For newbies in the field, this certification gives one a head start, used by companies for quality monitoring. This certification examines the analytical expertise, including skills to pinpoint issues, analyzing the circumstances, selecting suitable solutions, model development, and cycle management.

 

Certified Analytics Professional (CAP): Also provided by INFORMS, CAP is for already established professionals wishing to add to their skills. This not only adds credibility but business analysis proficiency, tutoring various statistical techniques. It is further classified into Algorithm creation, Probability & Statistics, Exploring Data analysis methods to visualize them, and Machine Learning.

 

Professional SAS Certification:

The institute called SAS provides the software that could manage large data sets. The candidate must be skilled in grasping large data masses, already utilizing some machine language, experienced in deducing patterns and predicting business techniques. The certification tests the following skills:

  • Predicting techniques using SAS.
  • Advanced Predicting techniques using SAS.
  • Analyzing a text, experimenting, and optimizing for better results.

 

Microsoft Certified Solution Expert for Data Analysis:

Issued by Microsoft Co., it certifies that the candidate is skilled in handling and analyzing data by utilizing Microsoft Power BI, for further reports. The certified professional can also design and develop data models, cleaning and transforming data, employing advanced analytical methods.

 

 

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