Business organizations from different industries rely on big data for most business decisions. At every stage, there are new challenges for a business owner to tackle. Such as new products to create, new markets to enter, new investments, and newly targeted audience. Big data analysis helps a lot in making the right decisions and identify the incompetency and other business-related issues.
Data Analyst allows business owners, stakeholders, and executives a vision created with the accumulated data to make the right business decisions. The Analysts are liable to explain competitive environmental factors, internal and external business factors, and also lack of particular data sets required to the stakeholders.
Big data certifications are now obligatory for accurate judgment of knowledge and skillsets as desired to become a professional data analyst. Most of the organizations have their yardsticks for evaluation of candidate’s skill sets.
Data analysts need to have both, leadership as well as technical skill sets. Technical skills refer to proficiency in database languages like SQL, R, or Python, spreadsheet tools like Microsoft Excel or Google Sheets, and also in data visualization software. While leadership skills help in decision making and problem-solving. Mathematical and statistical skills are other precious skills required for collection, measurement, organization, and analysis of data.
Such skills inspire analysts in strategy formulation from information gathered and help stakeholders to make an effective business decision by using such information accurately. Data analysis reveals the most important metrics that help projects to find different problems occurring and forecasting different actions addressing a problem.
Top 7 data analytics and big data certifications
Certification of Professional Achievement in Data Sciences
Certified Analytics Professional
Cloudera Certified Associate (CCA) Data Analyst
EMC Proven Professional Data Scientist Associate (EMCDSA)
MapR Certified Data Analyst
Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics
SAS Certified Data Scientist Using SAS 9
Cloudera Certified Associate (CCA) Data Analyst- CCA Data Analyst certification is for aspiring SQL developers willing to stand firm in the competitive market. SQL developer earning CCA Data Analyst certification sponsored by Cloudera has to reveal relationships and fetch the valuable results out of raw data. The candidate has to crack the CCA Data Analyst Exam (CCA159). The exam is a remote-procured set of 8 to 12 performance-based tasks to be done on the CDH 5 cluster. The candidate has to apply a technical solution for each task. He gets 120 minutes to complete the assignment.
Certified Analytics Professional-The CAP (Certified Analytics Professional) is a common analytics certificate for entry-level analytic professionals. Sponsored by Informs, it certifies the entire analytics process, including business process framing, analytic problem framing, acquiring data, methodology, model building, deployment, and model lifecycle management. The CAP certification requires completion of CAP exam and loyalty with the CAP Code of Ethics.
Certification of Professional Achievement in Data Sciences- The certification of Professional Achievement in Data Sciences is a certification program meant for offering data science skills. This certification program comprises four courses, namely Algorithms, Probability & Statistics, Machine Learning, and exploratory data analysis and visualization. This course is sponsored by Columbia University. Students with an undergraduate degree can apply for this course.
Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics- MCSE-Data Management and Analytics offer certification for the varied skillsets belonging to SQL administration, data solutions, controlling business intelligence data in both on-premise and cloud as well. Sponsored by Microsoft, this certification ask senior secondary exam certificate. This course is at an advanced level and is good for candidates experienced in SQL administration, leveraging business intelligence data, and developing data solutions for enterprises.
EMC Proven Professional Data Scientist Associate (EMCDSA) – EMCDSA certification is to certify that candidate is capable of contributing and taking part in any big data projects as data science member. This certification comprises various crucial activities related to data science as deploying data analytics lifecycle, application of analytic technique, explaining tools for big data analysis and developing statistical models, shortlisting suitable data visualizations, and much more. This course is sponsored by Dell EMC Education Services.
SAS Certified Data Scientist (SAS9)-The SAS Certified Data Scientist with SAS 9 certification indicates that the candidate can deploy and perform meaningful analysis from big data with diverse SAS tools, provide references from complicated learning models, and then organize models within SAS environment. For gaining this certificate, the candidate needs to pass five exams including MCQs, short answers, and interactive questions as well.
MapR Certified Data Analyst-The MapR Certified Data Analyst certification authenticates that certified individual can perform analytics on large datasets with the use of various tools that includes Apache Hive, Apache Pig, and Apache Drill. This exam judges the skills of candidates to execute complicated ETL tasks to operate data for executing queries. This certification is sponsored by MapR technologies.
IBM Data Science Professional Certificate-It is a certification for data analytics professionals at the beginner level. It defines a candidate’s skills related to data science topics that include methodologies, open-source tools, SQL, Python databases, data analysis, data visualization, and machine learning, etc. This certificate includes nine courses.
Open Certified Data Scientist-The Open CDS is a global certification that certifies the accurate skills, knowledge, and experience of a data scientist. Open CDS ask candidates to reveal their skills as well as experience as per requirements via written application as well as an interview.