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HomeBlogData ScienceTop Data Analytics Certifications to Get in 2024
In the world of IT, every small bit of data count; even information that looks like pure nonsense has its significance. So, how do we retrieve the significance from this data? This is where Data Science and analytics comes into the picture. Data Analytics is a process where data is inspected, transformed and interpreted to discover some useful bits of information from all the noise and make decisions accordingly. It forms the entire basis of the social media industry and finds a lot of use in IT, finance, hospitality and even social sciences. The scope in data analytics is nearly endless since all facets of life deal with the storage, processing and interpretation of data.
Data Analytics in this Information Age has nearly endless opportunities since literally everything in this era hinges on the importance of proper processing and data analysis. The insights from any data are crucial for any business. The field of data Analytics has grown more than 50 times from the early 2000s to 2021. Companies specialising in banking, healthcare, fraud detection, e-commerce, telecommunication, infrastructure and risk management hire data analysts and professionals every year in huge numbers. For more information on Data Science, check out Data Science training classes.
Skills are the first and foremost criteria for a job, but these skills need to be validated and recognised by reputed organisations for them to impress a potential employer. In the field of Data Analytics, it is pretty crucial to show your certifications. Hence, an employer knows you have hands-on experience in the field and can handle the workload of a real-world setting beyond just theoretical knowledge. Once you get a base certification, you can work your way up to higher and higher positions and enjoy lucrative pay packages.
Certification from an organization called INFORMS, CAP is a notoriously rigorous certification and stands out like a star on an applicant's resume. Those who complete this program gain invaluable credentials and are able to distinguish themselves from the competition. It gives a candidate a comprehensive understanding of the analytical process's various fine aspects--from framing hypotheses and analytic problems to the proper methodology, along with acquisition, model building and deployment process with long-term life cycle management. It needs to be renewed after three years.
The application process is in itself quite complex, and it also involves signing the CAP Code of Ethics before one is given the certification. The CAP panel reviews each application, and those who pass this review are the only ones who can give the exam.
Cloudera has a well-earned reputation in the IT sector, and its Associate Data analyst certification can help bolster the resume of Business intelligence specialists, system architects, data analysts, database administrators as well as developers. It has a specific focus on SQL developers who aim to show their proficiency on the platform.
This certificate validates an applicant's ability to operate in a CDH environment by Cloudera using Impala and Hive tools. One doesn't need to turn to expensive tuitions and academies as Cloudera offers an Analyst Training course with almost the same objectives as the exam, leaving one with a good grasp of the fundamentals.
Certification Overview
The Microsoft Certified: Power BI Data Analyst Associate certification helps you validate your expertise in data analysis using Power BI. It covers visualization, modeling, and transformation techniques with Power BI Desktop and Service. This certification demonstrates proficiency in creating interactive reports, implementing data modeling, and performing advanced analytics.
Key Highlights and Benefits
The Microsoft Certified: Power BI Data Analyst Associate certification offers industry-recognized expertise in data analysis using Power BI. It enhances career prospects, showcases Power BI proficiency, increases productivity, provides access to the Microsoft community, and promotes professional development.
Exam Fees & Format
Microsoft certification exams cost around $164 USD per attempt. However, prices are subject to change, so it's important to verify the current fees. The exam format typically includes multiple-choice questions, scenario-based questions, and interactive exercises, with a duration of around 150 minutes.
Prerequisites
No strict prerequisites exist for the Microsoft Certified: Power BI Data Analyst Associate certification. However, familiarity with data analysis concepts, experience with Power BI, and knowledge of data visualization, modeling, and transformation techniques are beneficial.
Completion Period
The completion period for the Microsoft Certified: Power BI Data Analyst Associate certification varies based on individual factors. It typically ranges from a few weeks to a few months, depending on prior experience, study time availability, and learning pace.
Salary
Salaries for Microsoft Certified: Power BI Data Analyst Associate professionals vary based on location, experience, industry, and job role. The average annual salary could be between ₹3 lacs to ₹10 lacs which is ₹ 5.2 lacs in general.
The average salary in the US for a Microsoft Data analyst is $112.833
Certification Overview
The Google Data Analytics Professional Certificate is a comprehensive online program that equips learners with the skills needed for a career in data analytics. It covers data collection, transformation, analysis, visualization, and presentation using tools like Google Sheets, SQL, and Tableau. Upon completion, learners receive a certificate from Google, validating their proficiency in data analytics and improving job prospects.
Key Highlights and Benefits
The Google Data Analytics Professional Certificate offers a comprehensive curriculum, hands-on experience, industry-relevant skills, flexibility, a recognized certification from Google, and employment prospects in the field of data analytics.
Exam Fees & Format
The cost of the course varies from INR 1,116 to INR 3,348. Successful completion of the Google Data Analytics Professional Certificate requires undergoing the course and fulfilling all exam requirements, which include a total of six graded assignments.
Prerequisites
No specific prerequisites are required for the Google Data Analytics Professional Certificate. The program is designed for beginners and individuals with no prior experience in data analytics.
Completion Period
The completion period for the Google Data Analytics Professional Certificate varies based on individual factors but typically takes a few months to complete.
Salary
On average, data analysts with relevant certifications can earn around ₹ 3.6 Lakhs to ₹ 25.7 Lakhs per year, while data scientists can earn ₹ 10.0 LPA or more annually.
The Average Google Data Analyst's yearly pay in the United States is approximately $67,900.
aCAP is an entry-level certification for Analytics professionals with lesser experience but effective knowledge, which helps in real-life situations. It is for those candidates who have a master’s degree in a field related to data analytics.
It is one of the few vendor-neutral certifications on the list and must be converted to CAP within 6 years, so it offers a good opportunity for those with a long-term path in a Data Analytics career. It also needs to be renewed every three years, like the CAP certification. Like its professional counterpart, aCAP helps a candidate step out in a vendor-neutral manner and drastically increases their professional credibility.
From one of the pioneers in IT and Statistics - the SAS Institute of Data Management - a SAS Certified Data Scientist can gain insights and analyze various aspects of data from businesses using tools like the SAS software and other open-source methodology. It also validates competency in using complex machine learning models and inferring results to interpret future business strategy and release models using the SAS environment. SAS Academy for Data Science is a viable institute for those who want to receive proper training for the exam and use this as a basis for their career. Not sure where to begin your career as a Data Scientist? Enroll in KnowledgeHut Data Science training classes.
Certification Overview
Columbia University's Certification of Professional Achievement in Data Sciences offers comprehensive training in data science principles and techniques. Designed for professionals, it covers statistical analysis, machine learning, data visualization, and management. Participants gain skills to analyze complex data and make data-driven decisions.
Key Highlights and Benefits
The Certification of Professional Achievement in Data Sciences from Columbia University offers comprehensive training, industry recognition, career advancement opportunities, networking prospects, and practical application of data science techniques.
Exam Fees & Format
The tuition fee for the Certification of Professional Achievement program is $2,196 per credit, and there is an additional non-refundable technology fee of $396 per course. Columbia University offers this certification program that requires the completion of 12 credits across four sections: Algorithms for Data Science, Probability and Statistics, Machine Learning, and Exploratory Data Analysis and Visualization.
Prerequisites
Applicants are expected to have a technical background to meet the course's level of understanding.
Completion Period
The completion period for the Certification of Professional Achievement in Data Sciences program at Columbia University varies based on individual factors. It typically ranges from several months to a year, allowing flexibility for part-time or full-time study.
Salary
Data science professionals with this certification often earn competitive salaries, with an average annual income of ₹910,238.
Whenever someone studies the history of a computer, IBM (International Business Machines) is the first brand that comes up. IBM is still alive and kicking, now having forayed into and becoming a major player in the Big Data segment. The IBM Data Science Professional certificate is one of the beginner-level certificates if you want to sink your hands into the world of data analysis. It shows a candidate's skills in various topics pertaining to data sciences, including various open-source tools, Python databases, SWL, data visualization, and data methodologies.
One needs to complete nine courses to earn the certificate. It takes around three months if one works twelve hours per week. It also involves the completion of various hands-on assignments and building a portfolio. A candidate earns a Professional certificate and a badge from IBM that recognises a candidate's proficiency in the area.
Certification Overview
The AWS Certified Data Analytics - Specialty certification validates skills in AWS data analytics services. It covers topics such as data lakes, ingestion, transformation, analysis, and visualization. This certification enhances career opportunities and validates the ability to design and implement efficient data analytics solutions on the AWS platform.
Key Highlights and Benefits
The AWS Certified Data Analytics - Specialty certification offers industry recognition, career advancement opportunities, efficient data analytics solutions on the AWS platform, and a competitive advantage in the job market.
Exam Fees & Format
The format of the exam typically consists of 65 multiple-choice/multiple-response questions, with a total duration of 180 minutes. The exam fee for the AWS Certified Data Analytics - Specialty certification is $300.
Prerequisites
Recommended prerequisites for the AWS Certified Data Analytics - Specialty certification include foundational AWS knowledge, experience in data analytics, familiarity with AWS services, and knowledge of data analytics concepts.
Completion Period
The completion period for the AWS Certified Data Analytics - Specialty certification varies based on individual factors and study pace. It typically takes several months of dedicated preparation.
Salary
Data analytics professionals with this certification often earn competitive salaries, with an average annual income of ₹ 8.0 LPA. The average annual salary in the US is $123,807.
It's one of the most well-known certifications for newcomers to step into the field of Big Data and Data analytics. This credential is offered by the leader in the industry, Microsoft Azure. This credential validates a candidate's ability to work with Microsoft Azure developing environment and proficiency in analyzing big data, preparing data for the modeling process, and then progressing to designing models.
One advantage of this credential is that it has no expiry date and does not need renewal; it also authorizes the candidate’s extensive knowledge in predictive Analytics.
For those already working in the field of data, being a Data Analyst is one of the most viable options. The salary of a data analyst ranges from $65,000 to $85,000, depending on a number of years of experience. This lucrative salary makes it worth the investment to get a certification and advance your skills to the next level so that you can work for multinational companies by interpreting and organizing data and using this analysis to accelerate businesses. These certificates demonstrate that you have the required knowledge needed to operate data models of the volumes needed by big organizations.
With the advent of the Information Age, there has been a huge boom in companies that either entirely or partially deal with IT. For many companies IT forms the core of their business. Every business has to deal with data, and it is crucial to get accurate insights from this data and use it to further business interests and expand profits. The interpretation of data also aims to guide them in the future to make the best business decisions.
Complex business intelligence algorithms are in place these days. They need trained professionals to operate them; since this field is relatively new, there is a shortage of experts. Thus, there are vacancies for data analyst positions with lucrative pay if one is qualified enough.
A data analyst is an extremely lucrative profession, with an average base pay of $71,909 (Source), employee benefits, a good work-home balance, and other perks. It has been consistently rated as being among the hottest careers of the decade and allows professionals to have a long and satisfying career.
Data analytics certifications are beneficial for individuals who aspire to pursue a career in data analytics or enhance their existing skills in the field. These certifications are suitable for professionals working in roles such as data analysts, business analysts, data scientists, data engineers, and decision-makers who rely on data-driven insights. Additionally, individuals from various industries, including finance, healthcare, marketing, and technology, can benefit from data analytics certifications to leverage data effectively for informed decision-making. Whether starting a career or seeking to advance in the data analytics domain, obtaining a certification can validate expertise, enhance job prospects, and demonstrate a commitment to professional development.
When choosing the right data analytics certification, consider the following points:
By considering these factors, you can select a data analytics certification that aligns with your career goals, provides relevant knowledge and skills, and holds value in the industry.
A California-based brand, Oracle is a software company that is most famous for its data solutions. With over 130000 employees and a revenue of 39 billion, it is surely one of the bigger players in Data Analytics.
Unlike its name, this company is anything but micro, with more than 400 million worth of revenue. It provides a suite of analytical products along with business mobility solutions. It is a key player in the mobile space, working natively with Android and iOS.
One of the companies in the list which provides certifications and is also, without a doubt, one of the largest names in the field of Big Data, machine learning and Data Analytics is SAS. The name SAS is derived from Statistical Analysis System. This company is trusted and has a solid reputation. It is also behind the SAS Institute for Data Science. Hence, SAS is the organization you would want to go to if you're aiming for a long-term career in data science.
To conclude, big data and data Analytics are a field of endless opportunities. By investing in the right credential, one can pave the way to a viable and lucrative career path. Beware, though, there are lots of companies that provide certifications, but only recognized and reputed credentials will give you the opportunities you are seeking. Hiring companies look for these certifications as a mark of authenticity of your hands-on experience and the amount of work you can handle effectively. Therefore, the credential you choose for yourself plays a vital role in the career you can have in the field of Data analytics.
Happy learning!
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