Top 8 Data Analytics Certifications To Boost Your Career. Data analytics is a complicated and expanding job sector that analyzes the success of businesses in a variety of industries and demands a high level of skill, knowledge, and competence.
By enrolling in a Data Analytics Certifications course, you can master the principles and acquire the skills necessary to advance in the disciplines of data analytics and big data.
In this article, we examine the skills and competences required to obtain a career in data analytics, as well as the best Data Analytics Certifications and big data that might assist you in acquiring them.
Data analytics skills and talents to possess
For a profession in data analytics and big data, the following applications, languages, and skill sets are required:
- SQL stands for Structured Query Language (SQL)
- Python and related language programming
- Data visualization (especially, Tableau)
- Microsoft Excel
- Learning-machine models/algorithms
- Building data sets
- Forecasting modeling
- Engineering and optimization of data
- Regression evaluation
- Statistical examination
Data Analytics Certifications in high demand
If you wish to work with big data and data analytics, there are numerous certification possibilities available. These credentials will help you earn experience and abilities that could lead to a wage increase. Here are eight typical Data Analytics Certifications that could assist you in achieving your career objectives:
- CompTIA Data+
- Data Analyst, Cloudera Certified Associate (CCA)
- Microsoft Certified: Associate Data Analyst
- SAS Certified Data Scientist
- Certified Analytics Specialist (CAP)
- Proven Professional Data Scientist Associate at Dell EMC (EMCDSA)
- Professional Certification in Data Sciences
- Amazon Web Services (AWS) Specialization Certification in Big Data
1. CompTIA Data+
CompTIA’s Data+ certification course is an introduction to data analytics. This Data Analytics Certifications teaches the data analysis process, dataset reporting, data quality standards (and how to comply to them), data mining, visualization, data concepts and environments, as well as what data skills to possess and how to enhance them.
Total cost: TBD
- No formal prerequisites necessary
- Recommended 18 to 24 months of data analysis work
2. Certified Cloudera Associate (CCA) Data Analyst
This Data Analytics Certifications demonstrates your ability to prepare, structure, and analyze data in the CDH environment of Cloudera. You must perform tasks such as importing data from MySQL to Hadoop, creating and modifying tables, and generating reports using specific queries.
- Pass the CCA Data Analyst
3. Microsoft Certified: Associate Data Analyst
The Microsoft Certified: Data Analyst Associate certification gives an introduction to Microsoft Power BI and a broad skill set for optimizing data assets. This Data Analytics Certifications explains how to cleanse data, construct enterprise-scale data solutions, and exploit business intelligence data. You’ll gain proficiency in data visualization, preparation, modeling, and analysis. It may also qualify you for database designer, database analyst, and business intelligence analyst positions.
Cost: $165 examination fee
- No formal restrictions necessary
- Gain expertise creating and constructing scalable data models, or
- Certifications in MCSA: BI Reporting and/or MCSA: SQL 2016 are suggested.
4. Certified SAS Data Scientist
The SAS Certified Data Scientist certification program offers three credentials in data science: Data Curation Professional, Advanced Analytics Professional, and AI & Machine Learning Professional. These Data Analytics Certifications programs teach you how to manipulate and acquire insights from big data using a variety of SAS and open source tools, to generate business suggestions using complex learning models, and to scale models in the SAS environment.
- No formal requirements
- Experience with SAS Programming Fundamentals and Data Manipulation Techniques is preferred.
- SQL expertise is recommended.
- Recommended: least six months of mathematics and statistics experience
5. Certified Analytics Specialist (CAP)
The Certified Analytics Professional (CAP) credential is an independent validation of a candidate’s proficiency in the analytics process, covering data through methodology selection and model development, business problem framing, analytics problem framing and deployment, and life cycle management. Every three years, this certificate must be renewed.It is another top Data Analytics Certifications you must consider to boost your career.
Cost: $695. The charge for INFORMS members is $495.
- Earn a four-year degree.
- Experience requirements are as follows: 3 years with a master’s degree, 5 years with a bachelor’s degree, or 7 years with any degree in an unrelated field.
- Successfully complete and pass the CAP exam.
- Follow the CAP’s code of ethics.
- Verify proficiency in soft skills.
6. Validated Professional Data Scientist Associate for Dell EMC (EMCDSA)
Dell Technologies’ EMC Data Science Associate (EMCDSA) certification verifies your ability to contribute to big data and data analytics initiatives. You will be able to implement the data analytics lifecycle, reframe business difficulties as analytics challenges, effectively apply analytic approaches, and utilize technologies such as R and RStudio, in-database analytics, MapReduce/Hadoop, and Window functions.This is another Data Analytics Certifications.
Cost is $5,000 for instructor-led instruction. $600 for instructional videos.
- Bachelor’s degree in computer science, information technology, telecommunications, electronics and electrical engineering, or a related discipline is required.
- Have a solid quantitative foundation.
- Possess knowledge of a scripting language, such as Java, Perl, or Python (or R).
- Have familiarity with SQL.
- Pass the DEA-7TT2 Associate Data Science and Big Data Analytics v2 Exam at the associate level.
7. Professional Achievement Certification in Data Sciences
The Certification of Professional Achievement in Data Sciences is available online or in-person through the Data Science Institute of Columbia University.
This Data Analytics Certifications improves a candidate’s job prospects by aiding in the development of fundamental data science abilities. Algorithms for Data Science, Probability & Statistics, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization are the needed courses for this certification.
Price per credit for the 2019-2020 school year: $2,104
- Undergraduate degree
- Prior quantitative training
- prior training in computer programming
8. Amazon Web Services (AWS) Specialization Certification in Big Data
The AWS Big Data Specialty certification provides role-based certifications for Cloud Practitioner, Architect, Developer, Operations, and other specialized technical skills. This Data Analytics Certifications enables you to broaden your technical skill set and maybe increase your knowledge of installing and creating AWS services.
Cost is $300 for registration
Knowledge of defining and developing AWS Big Data services, as well as the ability to articulate how this relates to the data life cycle.
- Five years of expertise in data analytics or a closely related discipline.
- Expertise in data processing through creating economical architecture
- Three-hour multiple-choice examination passage
FAQs On Data Analytics Certifications
Is a data analytics certificate worth it?
A data analytics certificate can be worth it depending on an individual's career goals and current skill set. It can provide a foundation in data analytics and demonstrate to employers that one has expertise in this area. However, it may not be necessary for individuals who already have a strong background in data analytics or those who are pursuing careers that do not require this skill set. It is important to weigh the cost and time commitment of obtaining a data analytics certificate against the potential benefits for one's career.
Is CompTIA data+ worth it?
CompTIA Data+ certification can be worth it for individuals interested in pursuing a career in data analytics or related fields. It validates one's skills and knowledge in areas such as data management, analysis, and security, and can enhance job prospects and earning potential. However, the value of the certification ultimately depends on an individual's career goals and the specific job market in their area. It is important to research and compare multiple certifications and weigh the potential benefits against the cost and time commitment before pursuing any certification.
Can I become a data analyst in 2 months?
Becoming a data analyst in 2 months is challenging, but it may be possible depending on an individual's prior experience and dedication. It is important to have a strong foundation in mathematics, statistics, and programming, and to gain hands-on experience with data analytics tools and techniques. Online courses, bootcamps, and tutorials can help individuals gain the necessary skills and knowledge, but it is important to set realistic expectations and continue to learn and practice even after the 2-month period. It is also important to note that most employers prefer candidates with a bachelor's or master's degree in a related field and relevant work experience.
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