Making the proper conclusions with data is the core concept of data analytics. Discovering the best strategic and effective course of action to accomplish a particular goal can be done by gathering, cleaning, and evaluating data.
Because of this, many aspiring and experienced professionals in the field of data analytics are unsure of which certification to pick in order to advance their careers. A certification or a certificate should you obtain? Which ones suit your present skill set and employment record the best?
This article is for you if you’re asking yourself any of these questions. Eight well-known data analysis credentials and certificates are included here, along with advice on where to start learning about them.
This article includes the information you need to decide how to proceed, whether you want to start out as a beginner or turn your skill set into a career as a data analyst or data scientist. Discover how to locate the ideal match for you by reading on.
How to become a Data Analyst in 2023?
If you like to work with numbers and solve problems related to numbers then you must consider the choice of becoming a data analyst. A data analyst has to collect, filter and arrange the data for creating a suitable business plan.
If you are interested to become a data analyst, here is a pathway that would help you in your journey:
- Gain basic knowledge of data analysis. You can choose an online course, a degree program or a mentor for this purpose.
- Enter the market of data analysis. Get yourself hired in an entry-level job so that implement your knowledge onto real-life problems.
- Create a strong portfolio of your work. Arrange all the analyses that you have done.
- Present your data analytics in a precise manner. You must have a clear understanding of your knowledge and its respective application.
- Upgrade your certification or an advanced degree. This would help you to prosper in your career and gain more economic value.
1. Amazon AWS Certified Big Data
Those with at least two years of experience utilizing Amazon Web Services (AWS) technology are eligible for the Amazon AWS Certified Big Data certification. By passing the certification exam, you may show that you are knowledgeable with AWS big data services. You may create, launch, and administer websites with this. Discover the basics of web analytics. Learn about log analytics, streaming analytics, and ML, as well as how to mine data lakes for insights.
- Implement core AWS Big Data services according to basic architecture best practices
- Design and maintain Big Data
- Leverage tools to automate data analysis
Prerequisites: Recommended holding fundamental AWS certification
Minimum 2 years of hands-on experience
Test mode: On-site/center
Cost: $300 USD
Exam Code: BDS-C00 AWS-Certified-Big-Data-Specialty
Get started preparation with AWS Certified Big Data – Specialty Questions!
2. Microsoft Data Analyst Associate Certification
This certification is intended for those who already possess a basic grasp of on-premises and cloud data processes and repositories. With a certification, one can collaborate with enterprises as a subject matter expert to increase the value of data assets. You can enable advanced analytical capabilities, create scalable data models, clean and transform data, and more with the help of the certification. The objective is to provide the certified individual with the tools needed to collaborate with team members and executives at all levels of the organizational chart in order to gather pertinent information for business progress.
- Prepare the data
- Model the data
- Visualize and analyze the data
- Deploy and maintain assets
Languages: English, Japanese, Chinese,(Simplified)Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian, Indonesian (Indonesia)
Exam Expiry: No
Exam cost: $165*
Required exams: PL-300
Get started preparation with Power BI Data Analyst Associate
Complete Roadmap for Microsoft PL-300 Exam Passing tips and tricks
3. Google Data Analytics Professional Certificate
In approximately six months, the Google Data Analytics Professional Credential offers a thorough introduction to data analytics through a flexible online certificate program. The course teaches students how to use spreadsheets, R programming and SQL while also teaching them how to filter, arrange, and analyze data. It is specifically designed for beginners with no prior experience.
- Data types and structures
- Using data to solve problems
- How to analyze data
- Data storytelling with visualizations
- Using R programming to supercharge your analysis
Learning time: 6 months
Learning mode: online, remote
Cost: $39 per month by subscription on Coursera
Get started preparation with Google Analytics Professional Certificate
4. IBM Data Science Professional Certificate
The IBM Data Science Professional Certificate will get you started in data science. You will learn the fundamentals of data science, as well as the duties of the position, via this certification. It offers practical experience with the languages and libraries used in a professional setting. You will import and clean data sets as part of your work in order to evaluate and visualize the data. The next step was to use Python to analyze ML and models in order to be able to publish project reports.
- What is Data Science?
- Tools for Data Science
- Data Science Methodology
- Python for Data Science, AI & Development
- Python Project for Data Science
- Databases and SQL for Data Science with Python
- Data Analysis with Python
- Data Visualization with Python
- Machine Learning with Python
Course duration: 11 months (4 hours per day)
Prior experience required: Yes
Cost: $39 per month by subscription on Coursera
Get started preparation with Data Science Professional Certificate)
5. Cloudera Certified Associate Data Analyst
Candidates are guaranteed to have a thorough understanding of the platform and how to operate the system by the CDP Generalist certification. Candidates are assisted by the CDP Administrator Private Cloud Base in correctly managing and maintaining the platform. The CDP Data Developer certification covers the abilities and technical expertise required to build workflows and maps.
- Implement a technical solution with a high degree of precision
- Analyze the problem and arrive at an optimal approach given the time
- Solve problems with a uniquely large data set, a CDH cluster
Number of Questions: 8–12
Time Limit: 120 minutes
Passing Score: 70%
6. SAS Statistical Business Analyst Professional Certificate
Data analysts wishing to advance their predictive and statistical analysis skills in the workplace can consider the SAS Statistical Business Analyst Professional Certificate. The three-month-long online certificate, which is intended for people with prior SAS programming experience, certifies the holder’s competency in modeling and programming for corporate objectives.
- · Analysis of variance.
- · Linear and logistic regression.
- · Preparing inputs for predictive models.
- · Measuring model performance.
Exam Name: A00-240
Exam Questions: 60 multiple-choice and short questions
Exam Time: 2 hrs
Passing score: 68%
Exam cost: $180
Get started preparation with SAS Statistical Business Analyst Professional Certificate
7. CompTIA Data Analytics Plus certification
An early career professional’s command of data mining, processing, modeling, and reporting is highlighted by the CompTIA Data+ certification. The CompTIA Data+ certification provides the opportunity for people just entering the field to distinguish themselves from others and is geared toward those with 1.5 or 2 years of experience.
- Mining data
- Manipulating data
- Visualizing and reporting data
- Applying basic statistical methods
- Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle
Exam Code: DA0-001
Number of questions: 90 questions
Type of Questions: Multiple choice and performance-based
Test time: 90 Minutes
Passing score: 675 (on a scale of 100–900)
Exam expiry: Usually after 3 years
8. Springboard Data Analytics Career Track
In the six-month mentor-based Springboard Data Analytics Career Track, critical thinkers are transformed into data analytics problem solvers. Additionally, this program has an employment guarantee, giving you peace of mind that you’ll gain useful and employable skills while enrolled.
- The basics of data analytics
- Structured Thinking Foundations
- Build your Excel Foundation
- Presentation Fundamentals in Analytics
- Technical Skills Survey
Course name: Introduction to Data Analytics Course
Course duration: At your own pace, recommended 4 weeks course
Course access: Lifetime
One-on-one mentor training
Get started preparation with Springboard Data analytic career track
9. CareerFoundry Data Analytics Program
The eight-month CareerFoundry Data Analytics Program is a credential that guides newcomers through all the procedures required to become an expert data analyst. It is one of the most complete data analytics programs you will find.
The course offers more than just a certificate. It is a job-guarantee initiative that connects students with mentors. From the very beginning, students are given a mentor and a tutor who offer advice and support for their academic and professional endeavors. You’ll have a comprehensive portfolio of work to show prospective employers your abilities once the program is through.
Vendor: Career Foundry
Course fee: $6175
Course duration: 8 months
Get started preparation with CareerFoundry Data Analytic Program
Is A Data Analytics Certification WORTH IT?
Professional certifications are of very little value to employers. It surely doesn’t indicate how effective a person will be when performing the task at hand. Different certification programs have different levels of difficulty. But employers don’t care about this.
You have just seven seconds to grab the attention of a hiring manager when they are reading through your CV. They won’t waste their time trying to determine whether the particular data analytics certificate program you selected is worthwhile.
Market Demand of a Data Analyst
In terms of economic value, data analysts earn a handsome amount of salary. According to a survey, the salary of a beginner data analyst is $90,000 while a mid-level analyst can earn up to $106,500.
A data analyst can get the following job positions:
- Business analyst
- Business Intelligence Analyst
- Intelligence Analyst
- Operations Research Analyst
- Market Research Analyst
- Medical and Health Care Analyst
Factors to Consider When Deciding a Certificate Program
Other essential factors to consider in your decision include:
Cost: Certification courses can cost anywhere from a few hundred to tens of thousands of dollars. What sort of return on investment can you anticipate?
Time Requirements — Dataquest’s certificate program is a self-serve option. This entails that you can start whenever is most convenient and proceed with your study at your own pace. Some classes, for instance, may only be offered at specific times of the year, are cohort-based and time-sensitive. You could also be limited to joining live classes just during certain hours of the day.
Prerequisites – Some programs include requirements, such as a certain level of education, training, or experience.
If you want to advance your career in data science, earning a certification in data analytics should be high on your list of goals. There are various chances and certifications available that can increase your marketability. Pick a certification that fits your financial needs and career objectives.
Frequently Asked Questions
What can you do with a data analytic certificate?
A data analytics certification can help you attain many good job positions such as data scientist, solution architect, project manager, etc.
Is a data analytics certificate worth it?
Yes, indeed. A data analytics certification is worth it. It would help you gain all the necessary knowledge and skills to land a data analyst job.
Does data analytics require coding?
Typically, a data analyst does not require coding so it is not mandatory.
Which language is used for data analytics?
Python is the most widely used language in data analytics in 2022.
Is data analytics easy to learn?
As far as the difficulty level of data analytics is concerned, it is not very easy to grasp. You need to work hard to understand all the necessary skills to become an expert data analyst.
What motivates you about a career in data analytics?
Data analytics is a rapidly growing, challenging career based on problem-solving and making comprehensive decisions. As a data analyst, you’ll work with a number of different teams who require your knowledge and skills to provide them with precisions about how they can improve their work.