The amount of data created daily is estimated to be 2.5 quintillion bytes. It is predicted that by 2025, there will be 175 zettabytes of data.
A lot of information there.
There will always be a high demand for experts who can locate, acquire, organize, analyze, and draw conclusions from data. Companies of all sizes and in all industries, from Netflix and Google to tech startups, rely on data-driven decisions to fuel innovation, attract new customers, and maximize profits.
The professional in data analytics needs to be flexible enough to adopt new methods, software, and hardware as they become available. Analytics credentials become useful at this point. The success of the data professional depends on maintaining marketable credentials in analytics.
Many different certifications are available in the field of data analytics, from academic institutions to commercial vendors. Let’s check out the alternatives and see which ones might work best for you.
Best 1 data analytics certifications
DataCamp is an all-inclusive resource for people working in data analytics to acquire the knowledge and credentials they need to succeed in their careers. More than 380 courses cover topics relevant to various data-related professions, including data scientist, data engineer, statistician, programmer, and data analyst. DataCamp offers specialized courses in areas such as structured query language (SQL) fundamentals, applied finance, machine learning (ML), and data visualization for those who have already begun their careers and are looking to advance.
Explore the platform during your trial period. The first chapter of each course is provided at no cost. Create a free profile to access the site’s job board and take advantage of the up to six free courses offered. The Premium plan, which costs $8.25 per month, is the most popular because it grants access to all available certifications.
Certification requires proof of competence in a given area. The test is timed and covers fundamental abilities. There could be a coding exercise or a case study to submit as part of the evaluation.
Once you’ve earned your credentials, you’ll have access to our career services and can start building your professional profile. This group helps individuals in their job search and prepares them for interviews.
Cloudera Certified Associate Data Analyst
The Cloudera Certified Data Professional (CCDP) Certification Program has succeeded the Cloudera Certified Data Analyst (CCA Data Analyst) certification. In this program, you can earn one of three different certifications. You gain proficiency in all aspects of the Cloudera platform, from administration to data analysis.
Candidates who earn the CDP Generalist credential have demonstrated a thorough familiarity with the platform and its capabilities. Candidates are assisted by the CDP AdministratorPrivate Cloud Base in learning to administer and maintain the system. Learn everything you need to know to build data pipelines and applications with the CDP Data Developer certification.
Each certification costs $300 and requires passing a separate exam. You’ll have 90 minutes to answer 60 questions on the Generalist exam. It discusses the various CDP architecture components, analyzes real-world analytic experiences, and examines the prerequisites for deploying on leading cloud infrastructure providers. If an applicant fails an exam, they must wait 30 days before taking it again. This accreditation is valid for two years.
CareerFoundry Data Analytics Program
Beginners can earn their certification as a data analyst after completing the eight-month CareerFoundry Data Analytics Program. You won’t find a more comprehensive data analytics program than this one.
The training goes beyond a simple credential. It’s a mentorship program that ensures students will find employment after graduation. Every student has access to a mentor and a tutor who can offer advice and guidance throughout their academic and professional careers. You will graduate with a comprehensive portfolio of work to showcase your abilities to potential employers.
The program is intensive, but it can be finished in five months if you put in 40 hours per week. In eight months, students who study 15 to 20 hours per week can finish the course.
The program begins with a one-month crash course in data analytics. After that, the rest of the course will have you diving headfirst into data analytics. Research project planning, data collection, data profiling, data integrity checks, and quality control measures are all covered in this module. The end result should be a report and model that incorporates all of the analytical findings.
IBM Data Science Professional Certificate
This certification is sought by professionals in an effort to address a current shortage of talent in the fields of machine learning and data science. This badge can help analytics professionals demonstrate their mastery of the subject and open doors to more advanced positions within an organization.
Methods from the field of data science will be covered in detail, including the visualization of data, the analysis of data with Python, the collection of data in SQL databases, and the modeling of machine learning.
Working in the IBM cloud, you’ll complete a series of hands-on learning labs where you’ll put your knowledge of data libraries like Pandas, Seaborn, SciPy, and Scikit-learn to the test.
Franklin University has partnered with Coursera to offer this certificate program entirely online. Students will pay $35 per month for access and work through 10 lessons at their own pace. If you put in the minimum required 10 hours per week, you should be able to earn your certificate in about 6 months.
Microsoft Certified Azure Data Scientist Associate
Expert or seasoned data professionals who work exclusively with Microsoft Azure.
You should be familiar with Azure Databricks and Azure Machine Learning prior to enrolling in this certification program. That’s because getting this credential involves studying machine learning models, conducting data experiments, and deploying those models on Azure.
This certification can be obtained in two different ways. Students can spend $165 on a certification exam after completing a self-paced online course. Alternately, they can enroll in a classroom-based Microsoft partner course that runs for three days. The fees are different for each teacher.
Google Data Analytics Certificate
Whoever wishes to acquire fundamental knowledge and skills in data analytics but has little prior experience or education.
This certificate program will introduce you to the fundamentals of data-driven problem solving, data analysis, data visualization, and data storytelling. R is given special focus from a technological perspective.
Google’s analysts crafted this comprehensive eight-part curriculum. It features a variety of application projects that will give you hands-on experience with various analysis tools and platforms.
Franklin University has partnered with Coursera to offer this certificate program entirely online. For $35 a month, students can access a library of 5 self-paced learning modules. The time required to earn the certificate is roughly 5 months. If you decide you want to continue your education beyond the Google Analytics Certificate, you can do so through the FranklinWORKS Marketplace and use the credits you earned there to reduce the amount of time and money you’ll need to devote to earning a degree.
Microsoft Certified: Power BI Data Analyst Associate
To demonstrate proficiency with Power BI, an interactive software for data visualization in business analytics and intelligence, Microsoft offers the Power BI Data Analyst Associate certification. The certification is ideal for those who want to highlight their superior analytical skills and the value they can bring to businesses, and who are already well-versed in data processes and data repositories.
\ Only candidates with a solid understanding of data processes and storage should aim for the Power BI Data Analyst Associate certification. A score of 700 on Exam PL-300: Microsoft Power BI Data Analyst is required to earn this credential.
There are a variety of learning partners offering both self-paced and instructor-led certification programs. The fee for the assessment is $165.
AWS Certified Data Analytics
The ability to plan, develop, and manage analytic solutions on Amazon Web Services (AWS) is validated by the AWS Data Analytics certification. This certificate is intended for professionals with at least five years’ experience in the field who are proficient in implementing cloud initiatives and using AWS data lakes to derive insights from data.
The DAS-01 certification exam is required to earn this designation from Amazon and consists of 65 questions split evenly between multiple-choice and short-answer formats. Candidates should have at least two years of practical experience with Amazon Web Services and five years of experience with common data analytics technologies before taking the exam.
CompTIA Data Analytics Plus certification
An entry-level professional’s mastery of data mining, manipulation, visualization, and reporting is highlighted by earning the CompTIA Data certification. The CompTIA Data certification is a great way for those with one and a half to two years of experience to set themselves apart from the competition in the job market.
To earn this credential, you must get at least 675 out of a possible 900 on a 90-question test. This exam is intended for those who have worked as analysts or reporters for 18–24 months and are familiar with database systems, analytical software, statistical methods, and the fundamentals of data visualization.
Complete Data Analyst Bootcamp 2023
The Complete Data Analyst Bootcamp is one of the more intensive programs available to those interested in a career as a data analyst.
As a data scientist, you will study how to use a wide range of tools and files, as well as learn basic and advanced Python programming skills. You don’t need any prior knowledge to get started, and the instructors will even help you set up the Anaconda software you’ll need to follow along with the lessons.
Everything you need to know to succeed in an entry-level position is covered in this course.
The Complete Data Analyst Bootcamp was developed by 365 careers to help newcomers get ready for a career in data analytics. You’ll go through a full case study using loan data to put your NumPy knowledge to use, and you’ll find out how to get interesting data from APIs using simple scripts.
Training opportunities abound in the form of real-world data sets that can be used for skill development with data cleaning and analysis tools.
This course will equip you with marketable data skills such as Python programming, data collection, pre-processing, and visualization by the time you graduate.
This Udemy course will cost you $99 to enroll in, and it will take you about 21 hours to finish. These hours are flexible, and you can access supplementary materials online or at the library whenever you like.
Online Data Analytics Certificate
Chris Anderson, a professor at Cornell, teaches the course “Online Data Analytics Certificate” for eCornell. In it, students learn how to effectively gather data and apply it to make strategic business decisions.
The course material covers scientific methods for data analysis and is aimed at people with a background in statistics or who regularly work with raw data.
This data analytics certification will test your ability to evaluate data and draw conclusions based on that analysis.
The first step in earning your Online Data Analytics certificate is to gain an understanding of data visualization, which will build on your familiarity with Excel and statistics. You’ll find out how to use useful resources like cheat sheets and manuals to provide answers to pressing questions faced by company executives.
Tips and advice on incorporating data into scientific decision-making will become available once you have learned to effectively leverage data. The course also teaches students how to apply cutting-edge data analytics techniques, such as predictive analytics.
The tuition for this online certificate in data analytics from Cornell University is $3,600. It will take about 9 weeks to finish the course, which will be broken up into three 3-week sections covering the major topics.
Cornell suggests spending between five and ten hours per week on your educational goals.
Can data analysts work from home?
The majority of data analyst jobs are often remote positions. The majority of data analyst positions call for candidates to have relevant certifications, access to high-quality visualization and analysis tools, and a laptop or desktop computer. Although full-time opportunities do exist, many people entering the field of data analysis enter the field on a freelance or contract basis, where they have the flexibility to choose between an office setting and working from home.
Which certification is best for data analysts?
There are some commonalities among the top certifications in data analytics. All of these programs are highly regarded by potential employers, and they provide students with practical training in data analysis techniques like data organization, analysis, and presentation.
Is Google Analytics a Skill?
It should come as no surprise that data analysts and scientists find Google Analytics to be a useful tool. Therefore, it’s possible that learning Google Analytics will increase both your employment opportunities and your earning potential.
How Long Does It Take To Get a Data Analytics Certification?
The time and effort you put into learning the material will determine your success. Some people only need a few months to prepare for certification exams, while for others it may take two or more years.
There is currently an almost inexhaustible need for skilled data professionals across many sectors. And despite this need, a talent gap persists, making it challenging for businesses to find the workers they require. The right preparation at the outset can make a career as a data analyst or data scientist one of the most promising options.
One of the best ways to get ready for a job in data analytics is to take some classes and get a certificate (or several!). However, if you want to increase your chances of getting hired, getting certified in your field is a great way to demonstrate to an employer that you have the necessary expertise.
Keep in mind, though, that even the most respected credentials in data analytics won’t ensure you a prosperous and fulfilling professional life. To acquire new information, you must have experience and a “go-getter” mentality. Soft skill development can also pay off in a big way. Have fun!