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Best Data Analytics Certifications for 2022

Posted in Data Analytics
Data Analytics Certification

The exciting field of data analytics is booming, with a job outlook of 25% growth from 2020 to 2030. 

You can take various courses and watch youtube videos to learn more about data analytics, but your best bet is a data analytics certification. With a certification in data analytics, you can improve your marketability and gain valuable knowledge at a fraction of the time and price of a degree program. 

But which are the best data analytics certifications? Don’t worry; we’ll walk you through some of the best programs and their pros and cons. By the end, you’ll be a certified data analyst or scientist with lots of potential!

First thing’s first: is there a difference between a certification and a certificate?

What’s the Difference Between a Data Analytics Certification and Data Analytics Certificate?

In our opinion, certification is superior even to the best data analytics certificate. Why? Because certification shows evidence of: 

  • Education
  • Passing an exam
  • Meeting industry requirements

Contrarily, a certificate doesn’t indicate a standardized industry achievement, instead only showing evidence of some education. Bottom line? A certificate doesn’t lead to professional certification. 

Keep this important distinction in mind as you browse through each data analytics certificate program and certification.

 

Best Data Analytics Certifications

Here’s our list of the best certifications for data analyst career paths: 

  • Cloudera Certified Associate
  • Microsoft Certified: Data Analyst Associate
  • Associate Certified Analytics Professional
  • Certified Analytics Professional

Let’s jump into the first data analyst certification on our list!

 

1. Cloudera Certified Associate (CCA Data Analyst)

Cloudera Certified Associate (CCA Data Analyst)

The Cloudera Certified Associate or CCA Data Analyst is a data analytics certification that’s ideal for:

  • Business intelligence specialists
  • Data analysts
  • Database administrators
  • Developers
  • System architects

Specifically, the CCA Data Analyst certification is designed for brilliant SQL developers looking to stand out among the competition. This data analysis certification requires you to successfully do the following: 

  • Analyze cluster data using QL (Query Language) statements in Impala and Hive
  • Prepare data for queries using ETL (Extract, Transfer, Load) processes
  • Using DDL (Data Definition Language) statements for altering or creating structures in the metastore for use by Impala and Hive

The exam entails 8-12 problems to solve with a unique, unique, large data set and a CDH cluster. You have 120 minutes total. 

Prerequisites

Price: $295

Total Exam Questions: 8-12

Content: Performance-based tasks on a Cloudera Enterprise cluster

You can sign up here.

 

2. Microsoft Certified: Power BI Data Analyst Associate

Microsoft Certified Power BI Data Analyst Associate

Microsoft offers a range of technical certifications, with its Power BI Data Analyst Associate claiming a strong reputation. The certification tests your ability to gather value from a business’s data assets. You’ll learn how to clean data and build data models. This certification is popular amongst data professionals and business intelligence analysts who have a solid understanding of: 

  • Data modeling
  • Data analysis
  • Data visualization
  • Data preparation

Prerequisites:

  • Knowledge of data processes and repositories
  • Various Microsoft prep courses (recommended)

Price: $165

Total Questions: 45-55 questions

Content: Single and multi-choice questions

You can sign up here.

 

3. Associate Certified Analytics Professional (aCAP)

Associate Certified Analytics Professional (aCAP)

Are you an entry-level analytics professional with little to no experience but comprehensive knowledge and high hopes? Then you must check out the aCAP a.k.a. Associate Certified Analytics’ Professional designation. An aCAP certification certifies you as:

  • Having a master’s level education in some form of data analytics, i.e., the theoretical knowledge of data analytics and related technologies
  • Aligned with analytics code of ethics
  • Competent as a data analytics professional

The aCAP certification is based on seven areas of analytics process:

  • Business Problem Framing
  • Analytics Problem Framing
  • Data
  • Methodology Selection
  • Model Building
  • Deployment
  • Lifecycle Management

Prerequisites:

  • MA/MS in a related field
  • Under three years of work experience

Price: 

  • $200 (INFORMS members)
  • $300 (everyone else)

Total Questions: 100

Content: Multiple-choice questions

You can sign up here.

 

4. Certified Analytics Professional (CAP)

Certified Analytics Professional (CAP)

One of the top data analytics certifications is the CAP, a.k.a. Certified Analytics Professional certification. A step up from the previous associate CAP designation, this vigorous CAP exam will surely separate you from the competition if you pass. The designation communicates your competence in various data areas, like regression predictive and prescriptive analytics, pattern recognition, job task analysis, data visualization, and more. To be eligible, you must: 

  • Meet the education and experience eligibility requirements
  • Master the art of “soft skills”
  • Commit to the CAP Code of Ethics
  • Pass the CAP exam

The CAP certification needs to be renewed every three years with professional development units. The data analytics certification has a global reach via computer-based testing.

You need to start with submitting an application for the CAP. It is then reviewed by the panel. You will be able to give the exam only if your application is successfully accepted. CAP is a portable credential based on the practice of analytics professionals.

Prerequisites

  • Either a bachelor’s degree with 5 years of professional experience or a master’s degree with 3 years of professional experience

Price: 

  • $495 (INFORMS members)
  • $350 (aCAP certified candidates)
  • $695 (everyone else)

Total Questions: 100

Content: Four-option, multiple-choice questions

You can sign up here.

 

Best Data Analytics Certifications Comparison

All the above data analytics certifications are great choices to further your career. To make comparison easier, we’ve contrasted their key characteristics in the chart below:

Certification

Price

Duration

Ideal For

Cloudera Certified Associate (CCA Data Analyst)

$295

8-12 questions

SQL Developers; Data Analysts that use Cloudera

Microsoft Certified: Power BI Data Analyst Associate

$165

45-55 questions

Data and Business Intelligence Professionals

Associate Certified Analytics Professional (aCAP)

$200 (INFORMS members)

$300 (everyone else)

100 questions

Entry-level Data Professionals

Certified Analytics Professional (CAP)

 

$495 (INFORMS members)

$350 (aCAP certified candidates)

$695 (everyone else)

100 questions

Experienced Data Professionals with over five years of experience and a master’s degree


Conclusion

A data analytics certification will help you communicate your expertise in a marketable, reputable manner. A certification will also open up more doors than a data analytics certificate. 

However, remember that certification solely doesn’t guarantee you a successful and satisfying career. You also need to have relevant experience and a go-getter attitude to always further your knowledge. 

Want to refine further and improve your data analytics skills? Try these top-rated data analytics courses

 

Frequently Asked Questions (FAQs)

 

1. Is a Data Analytics Certificate Worth It?

We think certifications are more worth it than certificates to improve your marketability in the job market. However, both certificates and certifications are worth it if you’re interested in expanding your knowledge. 

 

2. What Jobs Can I Get With a Data Analytics Certificate?

You can improve your chances of scoring a variety of data jobs with a data analytics certificate, including: 

  • Business Intelligence Analyst
  • Data Analyst
  • Data Scientist
  • Data Analytics Consultant
  • Operations Analyst
  • Marketing Analyst

 

3. How Long Does It Take to Get a Data Analytics Certification?

That answer depends on the specific program and your study pace. You study for a few months to pass a certification exam, but other times it might take you a couple of years to gather the right prerequisites and knowledge. 

 

4. Which Certification is Best for Data Analytics?

The best data analytics certification should match your career needs, lifestyle, and personal interests. 

For example, the Cloudera Certified Associate (CCA Data Analyst) certification is one of the most cost-effective certifications on this list. It’s also a great fit for a SQL developer. 

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Simran Kaur Arora

Simran Kaur Arora

Simran works at Hackr as a technical writer. The graduate in MS Computer Science from the well known CS hub, aka Silicon Valley, is also an editor of the website. She enjoys writing about any tech topic, including programming, algorithms, cloud, data science, and AI. Traveling, sketching, and gardening are the hobbies that interest her. View all posts by the Author

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Minnie Stevens
Minnie Stevens

Who uses data analytics?

Drew Newman
Drew Newman

Big data analytics involves examining large amounts of data. Organizations have realized the growing need of evolving from a knowing organization to a learning organization. Essentially, businesses want to be more objective and data-driven, and so they are embracing the power of data and technology, more than ever. Big data analytics have helped organizations and businesses harness their data and use it to identify new opportunities. That, in turn, results in smarter business moves, more efficient operations, higher profits and happier customers. From banking, to health care, life sciences, manufacturing, retail, government, every sector is now into data analytics.

Roberta Bryan
Roberta Bryan

What is required to learn data analytics?

Darrel Hill
Darrel Hill

Love for numbers and quantitative stuff, structured thinking approach, willingness to learn statistical concepts, creative and analytical thinking and a passion for solving problems, are some of the skills and aptitudes required if you wish to be a data analyst. Talking about technical requirements, a bachelor’s degree in a field with an emphasis on statistical and analytical skills, such as math or computer science, is a pre-requisite. Data analysts should be proficient in one language, such as R and SAS for data gathering, data cleaning, statistical analysis, and data visualization, and have working knowledge of a few more. In-depth knowledge of at least one of these analytical tools, for data science R is generally preferred.

Terry Goodwin
Terry Goodwin

What are data analytics tools?

Candice Barton
Candice Barton

Given the growing demand and importance of data analytics in the market, there are a huge number of tools that have made an entry. The open source tools are more popular, user-friendly and performance oriented than the paid ones. These tools and software help in finding current market trends, customer preferences, and other information widely used for meaningful analysis of a large set of data. Excel, SaS, QlikView, BI Tools, Tableau, are some of the tools widely used by data analytics.

Chelsea Parks
Chelsea Parks

What are the basics of data analytics?

Isabel Wood
Isabel Wood

For you to work in data mining and business intelligence firms, understanding of fundamentals of data analytics is very important. Data analysis is all about numbers and statistics. A data analyst’s main role is to structure, analyze and interpret raw data, using machine learning models, or algorithms, and statistics, in order to solve business problems, or find patterns or trends, etc. they play a vital role in helping companies understand their customer needs and track increasing profits.

Vickie Wise
Vickie Wise

Does data analytics require coding?

Diana Clark
Diana Clark

Data analysts don’t need to have advanced coding skills, but have experience with analytics software, data visualization software, and data management programs. While coding is not required; good understanding of ML algorithms, strong programming and analytical skills, statistics are some areas that are key and required when you become a data scientist. Learning to code or a program language can surely help gain a competitive edge in the field.

Wanda Carroll
Wanda Carroll

Is Data Analytics a good career?

Seth Wagner
Seth Wagner

Data analytics deals with systematic study of big data to achieve business goals. Skilled data analysts are considered as some of the most sought-after professionals in the world. It is a well-paid job since the demand is high but such professionals are less in number. Some of the top jobs in data analysis involve using data to make investment decisions, target customers, assess risks, or decide on capital allocations.

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