Do you need certification as a data analyst? If you do, then you need to start with a data analyst certification for beginners and then move on to the advanced level after some time to get the basic knowledge you need. And guess what, we will help you with the 10 best certificates for you in this article.


Data analytics has a huge scope, and many job opportunities are available. However, when you apply for a job, you must have certificates that prove your knowledge and skills.

Data analyst certification offered by professional institutes is very popular to get a top job in the data analytics industry. Beyond career opportunities in data analytics, the demand for certified professionals is also increasing.

There are more than 75 million jobs available and only 35,000 certified professionals.

This huge gap between demand and supply is a great opportunity for all those willing to jump into the world of data analytics.

If you are a beginner in data analytics, you must be looking for the best certification course. Choosing a course is not easy. You need to analyze the various aspects of the course, its benefits, and what it will contribute to your career.

So, this article will help you get data analyst certification for beginners and courses very helpful to start your career as a data analyst.

Introduction to Data Analytics

Data Analytics is a broad phrase that refers to a variety of data analysis techniques. Any type of data can be subjected to Data Analytics techniques to generate insights that can be used to aid decision making.

Using data analysis approaches can uncover trends and patterns that would otherwise be missed in the vast amount of data. This data can be used to improve the overall effectiveness of an organization by optimizing operations.

You need to analyze data obtained from multiple sources, clean it, and then make interpretable information in Data Analytics. Structured, unstructured or semi-structured data can be collected from numerous sources. Charts, graphs and other tools can be used to illustrate the end result.

Professionals who can help businesses convert raw data into relevant information that can be used to drive corporate growth are in high demand.

There are many different job roles in Data Analytics, and being a certified Data Analyst is one of them. It can lead to great career opportunities.

List of Best Data Analytics Certifications for Beginners

Before starting any of the best Data Analyst Certifications for beginners, you need to first understand the difference between Certificates and Certifications; although they sound similar, there is a significant difference between them.

A Data Analytics Certification shows that you have passed a specific assessment and that you are ready to work on a specific job role according to industry standards, whereas a Data Analytics Certification simply shows that you have trained in the Data Analytics domain and does not give that shows you have a unique set of skills.

Let's continue with a list of the best certifications for beginners to get started.

Below is a list of the best Data Analyst Certifications to get you started:

  • Certified by Microsoft: Associate Data Analyst
  • Microsoft Certified Azure Data Scientist Associate
  • SAS Certified Basic Programmer for SAS 9
  • Cloudera Certified Associate Data Analyst
  • Certified Associate Analytics Professional
  • Analytics Professional Certification (CAP)
  • Springboard Data Analytics Certification
  • Certificate of Professional Achievement in Data Sciences
  • Simplílearn Certified Big Data Analyst (CBA)
  • Professional Certificate in Data Analytics (Google) .
  • The 10 Best Data Analytics Certifications for Beginners

Below are some of the popular Data Analytics Certifications to get you started.

1. Certified by Microsoft: Associate Data Analyst

One of the most valuable certifications that will help you become a Certified Data Analyst is the Associate Data Analyst Certification.

It focuses primarily on using Power BI capabilities to maximize the value of a company's data assets. This beginner Data Analytics certification teaches you how to clean and manipulate data as well as design and develop scalable data models.

In the context of Power BI, Associate Analysts are skilled in data preparation, data modeling, data visualization, and data analysis. Candidates with previous experience working with Power BI are ideal candidates for this certification.

 

2. Microsoft Certified Azure Data Scientist Associate

Individuals who wish to gain subject matter expertise in data science and machine learning on Microsoft Azure should pursue the Azure Data Scientist Associate Certification.

One of the tasks of this function is to develop and implement an adequate working environment for Azure data science workloads.

You train predictive algorithms by testing them with data. You will also be in charge of managing, optimizing and deploying machine learning models in the field. Individuals must pass the DP-100 exam, which costs $165, to receive the certification. There are free and paid options to prepare for this Data Analytics certification for beginners.

3. SAS Certified Basic Programmer for SAS 9

SAS is one of the most popular tools used by data scientists around the world.

A SAS certification course can help you improve your skills and become a more valuable asset to any company you join. This certification requires a minimum of 6 months of programming experience. This program helps you learn how to use SAS as a tool to write programs that access and analyze data from various sources.

4. Cloudera Certified Associate Data Analyst

The Cloudera Certified Associate Data Analyst (CCA) Certification allows data analysts to extract and generate reports on a Cloudera CDH environment using Hive and Impala.

Individuals who pass the CCA Data Analyst Certification understand how to analyze data in a cluster using Query Language Statements in Impala and Hive.

5. Certified Associate Analytics Professional

Associate Certified Analytics Professional, or ACAP, is a designation for level analytics professionals who have received training in analytics but do not yet have experience. Independent certification leads to the highest level Certified Analytics Professional (CAP) credential.

Those eligible for ACAP must have the following qualifications:

Master's degree in information/analytics program.

Adhere to the analytical code of conduct.

Proven ability as an analytics professional.

To obtain ACAP certification, you must pass the ACAP exam, which covers seven analytical process areas: Business Problem Framework, Analytical Problem Framework, Data, Methodology Selection, Model Building, Deployment, and Lifecycle Management. The buyer must also have less than three years of manufacturing experience.

6. Analytical Professional Certificate (CAP)

A Certified Analytics Professional (CAP) is the right choice if you have strong knowledge and practical experience in data analytics and are looking for an advanced Certification.

Certified analytics professionals are familiar with business issues, analytics challenges, and various analytics techniques. Individuals who are assured have additional options such as execution and life management.

The Certified Analytics Professional (CAP) certification is for people who want to work in data analytics. Great certification for beginners.

The TMB test covers six areas, including case formulation, survey data analysis and visualization, statistical analysis, predictive modeling, preliminary analytics, and communication of analytics results.

7. Board Data Analytics certificate

The Springboard Data Analytics certification is designed for people who are good at problem solving and critical thinking.

This is an online school that is fully supervised and offers a job guarantee.

Finally, this certification requires candidates to have two years of professional experience. When you register with this program, you will be assigned a mentor to help you on your way. Includes project-based assignments and real-world examples to test your data analytics knowledge.

You are assigned a final project to complete the program, which is reviewed by your instructor, and once you pass the assessment, you will be ready to become a Certified Data Analyst.

8. Certificate of Professional Achievement in Information Science

Columbia University's Certificate of Professional Achievement in Data Science is a part-time, non-degree program. Designed to help you develop your basic information science skills.

This certificate is intended for students who must complete at least 12 credits in the following four courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Visualization of Research Data Analysis.

To register for this certificate, students must pay the Columbia Engineering tuition fee (approximately $2,196 per credit) and a nonrefundable technology fee of $396.

9. Simplify Certified Big Data Analyst (CBA)

Simplilearn CBA course covers Hadoop, HDFS, MapReduce, Hive, Pig, HBase, Spark, Oozie, etc. contains large data such as

It also trains students in the R programming language and machine learning techniques that help them extract data from large databases. This online course allows students to develop real-time applications using Apache Spark.

This course teaches students how to apply statistical methods such as SAS/R to large data sets. They can use different tools like Tableau to visualize the data. After completing this course, candidates can easily apply for higher classes.

10. Professional Certificate in Data Analytics (Google)

A data analyst is someone responsible for collecting, organizing, and evaluating data. Data analysis helps you visualize data using graphs, charts, and numbers.

It also focuses on the fraud detection process and making sure everything runs smoothly.

Google has developed a Data Analytics Professional Certificate to help people who are interested in data science and find jobs in the IT industry.

This course is suitable for students who want to enter the profession but do not have entry-level programming experience. This eight-course certificate program can help you start your career as a data analyst on the right foot.