Data analytics certifications can help you get into the field of Data Analytics and Data Science and secure a high-paying job without having prior experience or a related university degree.
We’ve reviewed and rated the best data analytics certifications available online to help you find accredited certifications worth spending your time and money on.
These certification courses will help you build the skills and learn the techniques and methodologies to make a successful career as a data analyst.
Top Data Analytics Certifications
- Google Data Analytics Professional Certificate
- IBM Data Science Professional Certificate
- Google Advanced Data Analytics Certificate
- Complete Data Analyst Bootcamp
- Data Analytics Course Online
- Online Data Analytics Certificate
- Data Analytics Program
- IBM Data Analyst Professional Certificate
- CompTIA Data+
- Google Business Intelligence Certificate
1. Google Data Analytics Professional Certificate
Promising a simple route to your new career in data analytics, Google’s Data Analytics Professional Certificate teaches the in-demand skills most relevant to a career in the industry.
This engaging learning experience requires no background knowledge in data analysis, and it comes packed with different educational experiences to explore, including hands-on projects where you can discover what it’s like to interact with data.
The course comes with a highly sought-after Google certification, which you can use to bolster your resume upon completion.
What You’ll Learn?
This Google training experience breaks everything you need to earn an entry-level role in data analytics into 8 courses. With over 180 hours of instructional videos and hands-on assessments, you’ll simulate and build real-world data analytics scenarios.
The course begins with an insight into the basics of discovering data and preparing data for exploration. You’ll learn how to clean data and use tools like spreadsheets, Tableau, and SQL to answer important questions.
You’ll also complete a case study which you can use as part of your data analytics portfolio to demonstrate your skillset to potential employers.
These are the courses included in the Google Data Analytics Certification:
Course | Duration |
---|---|
Foundations: Data, Data, Everywhere | 21 hours |
Ask Questions to Make Data-Driven Decisions | 19 hours |
Prepare Data For Exploration | 21 hours |
Process Data from Dirty to Clean | 23 hours |
Analyze Data to Answer Questions | 26 hours |
Share Data Through the Art of Visualization | 24 hours |
Data Analysis with R Programming | 38 hours |
Data Analytics Capstone Project: Complete a Case Study | 9 hours |
The course covers topics like:
- How to answer questions by analyzing data
- How to make data-driven decisions
- What it takes to process and clean data
- How to make data visual and shareable.
Cost and Duration
The cost of the Google Data Analytics Professional Certificate is $312, and It takes around 6 months to complete the course if you have 10 hours a week to dedicate to learning.
You’ll also have access to a 7-day free trial to test out the course resources and cancel your subscription for a full refund.
Read our Google Data Analytics Certification Review to learn more about this certification.
The case study segment of this course is perhaps the most compelling feature on offer. With the capstone project at the end of your learning journey, you’ll be able to put your new skills to the test in a case study you can present to future employers.
- Vendor: Google via Coursera
- Cost: $312
- Duration: 8 months
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2. IBM Data Science Professional Certificate
IBM’s Data Science Professional Certificate introduces data science and the various responsibilities of an expert in the field. You’ll learn to think and work like a data expert and develop hands-on skills using common languages and tools.
IBM’s course takes a more comprehensive approach to the data landscape, looking behind analytics to consider all the different routes data science can cover.
You don’t need any prior knowledge of computer science or programming to get started, and you can use the credits from this certificate towards a Bachelor of Science degree.
What You’ll Learn?
IBM’s data science course helps professionals kick-start a new career in machine learning, data analytics, and data science. The course begins with a basic introduction to data science as a concept and the tools scientists use.
There’s a strong focus on Python in this data analyst certification as one of the most powerful tools data experts use to import, clean, and analyze data sets. You’ll learn to make the most of Python to evaluate machine learning models and build new data analysis tools and pipelines.
The full learning experience breaks down into 9 fully-online courses focused on giving you the skills required for a successful data career.
The IBM Data Science Professional Certification includes the following courses:
Course | Duration |
---|---|
What is Data Science? | 9 hours |
Tools for Data Science | 19 hours |
Data Science Methodology | 8 hours |
Python for Data Science, AI & Development | 21 hours |
Python Project for Data Science | 7 hours |
Databases and SQL for Data Science with Python | 36 hours |
Data Analysis with Python | 15 hours |
Data Visualization with Python | 17 hours |
Machine Learning with Python | 22 hours |
Applied Data Science Capstone | 11 hours |
Throughout this course, students will learn the following:
- How to perform statistical analysis and ask relevant data questions
- The features of Python and how you can use it for data visualization
- How to apply data science to an end-course project
- What kind of tools are required for different data analytics tasks
Cost and Duration
This course costs $539 to access all the features offered by Coursera for a full 11 months. IBM recommends taking 11 months to complete the course at a study pace of 4 hours per week.
A full 7-day trial is available for new Coursera students, which costs nothing.
Read our IBM Data Science Professional Certificate Review to learn more about this certification.
The certification for this course is its most exciting feature. Not only do you get a digital badge from IBM to recognize your proficiency in data science, but you also receive credits you can use towards a Bachelor of Science degree in Computer Science.
- Vendor: IBM via Coursera
- Cost: $539
- Duration: 11 months
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3. Google Advanced Data Analytics Certificate
The Google Advanced Data Analytics Certification is designed for experienced data analytics professionals who want to pursue senior positions in the field.
It includes seven courses that are entirely online and self-paced, making it convenient for professionals with busy schedules.
What You’ll Learn?
The lessons cover topics related to manipulating large data sets, predictive modeling, experimental design, Python programming, and machine learning.
Here is a breakdown of the certificate contents and the course completion time.
Course | Duration |
---|---|
Foundations of Data Science | 21 hours |
Get Started with Python | 24 hours |
Go Beyond the Numbers: Translate Data into Insights | 28 hours |
The Power of Statistics | 33 hours |
Regression Analysis: Simplify Complex Data Relationships | 28 hours |
The Nuts and Bolts of Machine Learning | 33 hours |
Google Advanced Data Analytics Capstone | 9 hours |
Cost and Duration
The course costs $234, and it takes 6 months to complete. If you need more time, each additional month costs $39.
Read our Google Advanced Data Analytics Certification Review to learn more about this certification.
The Machine learning course is the most interesting feature of this certification. In this course, you’ll learn how to train computer models to process data.
- Vendor: Google via Coursera
- Cost: $234
- Duration: 6 months
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4. Complete Data Analyst Bootcamp
One of the more fast-paced courses for anyone who wants to become a data analyst, the Complete Data Analyst Bootcamp promises a crash course in everything you need to know to become a pro.
You’ll learn beginner and advanced Python techniques and study how to work with various different tools and files as a data scientist. No prior experience is required to begin learning, and you’ll even get guidance on installing the Anaconda software required for the lessons.
This course focuses specifically on the fundamentals you’ll need to thrive in an entry-level job.
What You’ll Learn?
Created by 365 careers, the Complete Data Analyst Bootcamp prepares beginners to understand data in a data analytics role. You’ll learn how to obtain interesting information from APIs with simple scripts and go through a complete loan data case study to apply NumPy skills.
With endless hands-on training experiences, you’ll develop the skills you need to work with data cleaning and analytical tools daily, practicing with real-world information.
By the time you’ve finished this course, you’ll have a resume full of in-demand data skills, including Python programming, data collection, pre-processing, and data visualization. Some of the topics covered include:
- How to create a histogram, scatter, line, bar, and pie charts.
- Beginner and advanced Python, as well as NumPy and pandas.
- How to clean and prepare raw data for analytical insights.
- How to work within text files
Cost and Duration
It costs $99 to gain access to the Udemy course, which should take around 21 hours to complete. You can spread these hours out however you choose, and additional resources are available to download and check out in your free time.
Community support and guidance are the best features of this Udemy course. You’ll have access to active Q&A support throughout the classes so that you can develop your knowledge with direct feedback.
- Vendor: Udemy
- Cost: $99
- Duration: 21 hours
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5. Data Analytics Course Online
Intended for those with a basic knowledge of data science and analytics, the Data Analytics Course from BrainStation allows professionals to upskill and develop their talents.
You don’t need an extensive understanding of data analytics to jump into this course, as there’s an introductory unit on data analytics foundations, but it’s best to have a basic understanding of what data analytics and data science are.
The project-based, hands-on learning experience is ideal for experimenting with different data types and broadening your skill sets.
What You’ll Learn?
Starting with an introduction to data analytics through Excel, the Data Analytics Course online teaches students high-end problem-solving strategies and principles. You’ll discover how to source high-quality data, clean raw data, and reduce bias.
As you progress through the course, you’ll learn more about MySQL and how to write SQL queries through real-world projects. The training experience introduces concepts like organizing and optimizing data sets and how to manage data more effectively.
By the end of this course, you’ll also be able to present the information you’ve collected through visual graphs and charts. You’ll learn how to:
- Highlight critical data insights with Tableau
- Build impactful dashboards and visualizations for business users
- Design a data analytics portfolio project
Cost and Duration
There are various scholarship opportunities and flexible plans available for the BrainStation data analytics course, which costs a total of $3950. You can also access employer sponsorship or split your fee into monthly installments. It takes around 10 weeks to complete this course.
The collaborative learning features of the Data Analytics Course online make this training experience stand out from the crowd. You can join interactive real-time classes online, join breakout room sessions, and get involved in hands-on projects with other learners.
- Vendor: BrainStation
- Cost: $3950
- Duration: 10 weeks
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6. Online Data Analytics Certificate
Cornell professor Chris Anderson guides students through the Online Data Analytics Certificate from eCornell, where individuals can discover what it means to gather data effectively and use it to make important business decisions.
Intended for people with a background in statistics or those who regularly work with raw data, the lessons cover scientific methods for data analysis.
Using a combination of video instruction and hands-on exercise, this data analytics certification will ensure you’re ready to make sound evidence-based decisions.
What You’ll Learn?
Building on your existing knowledge of Excel and statistics, the Online Data Analytics certificate starts with an insight into understanding and visualizing data. You’ll learn how to use valuable tools and help sheets to answer important questions for business leaders.
Once you know how to leverage data effectively, you’ll gain tips and advice on implementing data into scientific decision-making. The course also covers how to use innovative new data analytics strategies, like predictive analytics.
As you progress through the training experience, you’ll learn how to:
- Collect and prepare data for functional analysis
- Create and validate regression models to make business decisions
- Create dashboards that use visuals to improve your understanding of business situations
- Formulate business questions as scientific hypotheses
Cost and Duration
This eCornell Data Analytics certificate program costs $3,600 and comes with a completion certificate from Cornell University. The course will take around 9 weeks to complete, split into three segments of 3 weeks covering the main components of the class.
Cornell recommends dedicating around 3-5 hours weekly to your learning outcomes.
The instructor-led guidance is the best feature of this course. Cornell faculty author Chris Anderson offers direct support and feedback to students so that they can learn more engagingly. If you’d like a more traditional educational experience, this could be the course for you.
- Vendor: eCornell
- Cost: $3600
- Duration: 9 weeks
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7. Data Analytics Program
Unlike most data analyst training courses, the Data Analytics Program from Career Foundry takes a unique one-on-one approach to your education. You’ll receive tailored coaching from a career services team to improve your chances of getting a data analyst job after you’re done learning.
Though this course is still fully online and flexible to suit your needs, it comes with access to a data analytics mentor, with who you can ask all your questions about the life of a data expert.
As you work through the classes with your expert help, you’ll also develop your own portfolio you can use to show your skills to potential employers.
What You’ll Learn?
The Data Analytics program covers all the information you’ll need to become a data analyst. You’ll start with an introduction to data analysis and the kind of methods professionals use to sort through databases and statistics.
The course includes introductions to common data tools like Excel and teaches you how to understand different elements of your data set.
You’ll also get a comprehensive guide to grouping and summarizing data, visualizing data insights, and working with Python. As you progress, you’ll discover how to:
- Work with machine learning tools to build intelligent applications.
- Explore big data and collect data from different environments
- Use relational databases and SQL for analysis
- Present findings to stakeholders and create visualizations
Cost and Duration
The Data Analytics Program from Career Foundry costs $6175 and takes around 8 months to complete. If you’re not sure whether the program is right for you, you can get in touch with one of the program advisors for a free consultation or take the free 5-day data analytics short course.
To ensure you’ll be confident using the tools you’ll regularly encounter in a data analytics job, Career Foundry has partnered with industry-standard providers like Anaconda and Microsoft for Excel. You’ll have complete access to tool discounts to help build your portfolio.
- Vendor: Career Foundry
- Cost: $6175
- Duration: 8 months
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8. IBM Data Analyst Professional Certificate
The Data Analyst Professional Certificate from IBM and Coursera provides all the tools would-be data analysts might need to pursue a career in their field. You don’t need any background knowledge or a degree, but you do need to be comfortable working with numbers.
Often suggested as the ideal accompanying course to IBM’s data scientist certificate, this certification course covers concepts like using spreadsheets to answer important business questions.
The course is also available in a range of different languages.
What You’ll Learn?
The IBM Data Analyst course focuses on teaching job-ready skills to position yourself as a competitive member of the data job market. You’ll learn how to use a variety of data sources and analyze information for various project scenarios.
The IBM course includes a close look at all of the tools you’re likely to use in your new career, including Excel, SQL, Jupyter notebooks, Cognos Analytics, and Python. You’ll also learn about Python libraries like Numpy and Pandas.
With hands-on experiences baked into the learning process, you’ll gradually discover how to:
- Perform various data analysis tasks like data wrangling
- Create various plots and charts in Excel and work with IBM Cognos on dashboards
- Visualize data using Python libraries like Matplotlib
- Describe data ecosystems and compose queries to access data in the cloud
The IBM Data Analyst Certificate includes these nine courses:
Course | Duration |
---|---|
Introduction to Data Analytics | 10 hours |
Excel Basics for Data Analysis | 12 hours |
Data Visualization and Dashboards with Excel and Cognos | 9 hours |
Python for Data Science, AI & Development | 21 hours |
Python Project for Data Science | 7 hours |
Databases and SQL for Data Science with Python | 36 hours |
Data Analysis with Python | 15 hours |
Data Visualization with Python | 17 hours |
IBM Data Analyst Capstone Project | 15 hours |
Cost and Duration
It costs around $539 to access this Coursera course for the full 11 months recommended to complete your education. You can potentially accelerate this course if you’re willing to devote more than 3 hours per week to learning, however.
Funding is available from Coursera for those who need extra help, and you can start with a free trial if you haven’t used Coursera before.
The real-world capstone project at the end of the course ensures you can showcase the newly-developed skills you’ve learned to potential employers. You can also combine your projects into a portfolio on GitHub to show future employers.
- Vendor: IBM via Coursera
- Cost: $539
- Duration: 11 months
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9. CompTIA Data+
The CompTIA Data+ certification provides an end-to-end training experience to ensure you’re ready for a career in data science and data analytics.
Intended for those in the early stages of building a new career in the data analytics landscape, the certification covers how to analyze better and interpret data in a range of environments.
You’ll discover how to communicate insights to stakeholders, demonstrate data literacy, and manipulate data using common tools and software.
What You’ll Learn?
With the CompTIA Data+ course, students get a full step-by-step guide to every stage of data analytics, starting with how to identify data concepts and environments, and progressing all the way to comprehensive report visualization.
Throughout a series of engaging lessons, you’ll learn about the purpose of different inferential statistical methods and experiment with data analytics tools. CompTIA Data+ also covers important information about data governance and quality control.
As you progress through this course, you’ll learn how to:
- Identify data schemas and dimensions and differentiate data structures
- Mine and clean data for profiling data sets.
- Apply appropriate statistical methods to different analytical projects
- Translate raw data into reports and dashboards for stakeholders
Cost and Duration
The CompTIA course costs $349, including the cost of the examination at the end of the learning track. It takes around 3 months to complete the course, and there’s a countdown calendar to keep you on pace.
The CompTIA course is excellent at preparing students for the examination at the end of the learning experience, with practice questions and immediate feedback, so you can ensure you’re confident in your abilities before you start the test.
- Vendor: CompTIA
- Cost: $349
- Duration: 3 months
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10. Google Business Intelligence Certificate
The newly released Google Business Intelligence Certificate is for data analytics professionals who want to build Business Intelligence skills.
The certificate includes three courses and takes only 2 months to complete.
Google created this certification to help industry professionals build the skills needed to manipulate, organize and present data in meaningful ways.
What You’ll Learn?
Upon completion of this certificate, you’ll be able to:
- Work with BigQuery, SQL, and Tableau to collect, organize, interpret, and report on data.
- Explain the role of BI professionals in an organization and how they differ from Data Analysts.
- Create dashboards to combine different pieces of data together and answer business questions.
Here is a breakdown of the three courses
Course | Duration |
---|---|
Foundations of Business Intelligence | 24 hours |
The Path to Insights: Data Models and Pipelines | 23 hours |
Decisions, Decisions: Dashboards and Reports | 27 hours |
Cost and Duration
The cost of the Google BI Certification is $78, which is equivalent to two monthly subscription to Coursera Plus. The estimated time to complete all courses is 2 months, assuming you’ll study 10 hours weekly.
It is worth noting that with your Coursera Plus subscription, you can access many other courses without an additional charge.
Read our Google Business Intelligence Certification Review to learn more about this certification.
The end-of-course project of course 3 is the best feature of this certificate. You’ll start the project on course 1 and build on it for the subsequent two courses. The final outcome is a beautiful Business Intelligence dashboard, a great addition to your portfolio and CV.
- Vendor: Google via Coursera
- Cost: $78
- Duration: 2 months
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Are Data Analytics Certifications Worth It?
Data analytics certifications are very worthwhile for anyone who wants to take advantage of the growing data landscape and the high-paying jobs this space has to offer. The average data analyst makes around $75,170 per year, with the potential to earn extra cash bonuses.
What’s more, as a data analyst, you’ll be responsible for helping to guide countless companies toward success. In this immersive role, you’ll have a chance to discover the hidden patterns and trends in the information collected by businesses every day.
A course in data analytics will teach you how to use the most valuable tools in the industry, from Python to SQL, as well as how to demonstrate your value by transforming raw data into visualizations. With the right data analytics training, you can:
- Develop a portfolio showcasing your data analytics abilities with case studies.
- Present more immersive and valuable visualizations of data using leading tools.
- Learn multiple different statistical methods for analyzing different kinds of data.
- Differentiate yourself from other data analysts with sought-after certifications.
- Build a foundation for new career opportunities in machine learning.
- Explore one of the most valuable aspects of the data science industry.
Methodology
To help you find the best data analytics certification, we’ve looked at the most popular online data analytics courses provided by companies like Google, IBM, CompTIA, eCornell, Career Foundry, BrainStation, and Coursera.
The courses were selected based on content quality, cost, and certificate reputation. All certifications are perfectly suited for beginners to data analytics without having any prior experience or a data analytics related degree.
Related Courses and Certifications
To continue your data analytics learning journey, you can also consider the following guides and courses:
- How to Become a Data Analyst – a step-by-step on how to start a career as a Data Analyst.
- Best Python Courses – Python is the most popular language used for data analysis and these are the best courses to build your Python Skills.
- Google Career Certificates – a list of the top 5 professional certificates for starting an IT career (besides Data Analytics).