The editors at Solutions Review have compiled this list of the best data analytics certifications online to consider acquiring.
Data analytics is a data science. The purpose of data analytics is to generate insights from data by connecting patterns and trends with organizational goals. Comparing data assets against organizational hypotheses is a common use case of data analytics, and the practice tends to be focused on business and strategy. Data analytics deals less in AI, machine learning, and predictive modeling, and more with viewing historical data in context.
With this in mind, we’ve compiled this list of the best data analytics certifications from leading online professional education platforms and notable universities. The certifications listed offer students the training they need to develop new skills and advance their careers. This is not an exhaustive list, but one that features the best data analytics certifications online from trusted institutions. We made sure to include certificate descriptions and Solutions Review’s personal take on each.
The Best Data Analytics Certifications
OUR TAKE: This Arizona State University MasterTrack training module provides certification on data mining techniques, data analytics, data visualization, and statistical machine learning.
Description: You’ll learn to apply mathematical theory and decision-making techniques that are vital to big data analysis, classification, clustering, and association rule mining through real-world projects designed by faculty from Arizona State University. By committing to online study for 6-9 months, you can earn the Big Data MasterTrack Certificate that will be a pathway to the online Master of Computer Science degree at Arizona State University.GO TO TRAINING
OUR TAKE: This beginner-level certification module provides students with in-demand skills in less than 6 months. It also offers an immersive understanding of the practices and processes used by junior and associate data analysts.
Description: Over 8 courses, gain in-demand skills that prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. You’ll prepare yourself for jobs that include junior or associate data analyst, database administrator, and more. Upon completion of the certificate, you can directly apply for jobs with Google and over 130 U.S. employers, including Walmart, Best Buy, Astreya.GO TO TRAINING
OUR TAKE: Offered by IBM, this beginner-level certification module teaches students to utilize Excel spreadsheets for data analysis, create relational databases and tables, and complete the analytic process.
Description: This Professional Certificate is intended for anyone who is seeking to develop the job-ready skills, tools, and portfolio for an entry-level data analyst or data scientist position. Through these eight online courses, you will dive into the role of a data analyst or data scientist and develop the essential skills you need to work with a range of data sources and apply powerful tools, including Excel, Cognos Analytics, and the R programming language.GO TO TRAINING
OUR TAKE: This IBM data analyst certification module touts 4.7 stars with more than 3,000 reviews. It allows students to build job-ready data analyst skills, and no degree or prior experience is required.
Description: Learn the foundational skills required for an entry-level data analyst role through this nine-course Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts. You’ll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics.GO TO TRAINING
OUR TAKE: This flexible, beginner-level course offered by SAS and Coursera will help you learn how to explore data using SAS Visual Analytics, prepare data using SAS Data Studio, and create interactive reports.
Description: Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.GO TO TRAINING
OUR TAKE: This hands-on certificate program will prepare you to acquire SAS statistics, modeling, and programming skills like ANOVA, regression, logistic regression, business applications of modeling, and challenges of modeling.
Description: This program is for those who want to enhance their predictive and statistical modeling skills to drive data-informed business outcomes. If modeling data for business outcomes is relevant in your job role or industry, this certificate is a valuable indication of your proficiency. Data examples are general enough to be applicable to a broad range of subject areas.GO TO TRAINING
OUR TAKE: This University of Chicago certification module will show you how to master AI algorithms, data mining techniques, and predictive analytics in as little as five months.
Description: Data analytics and data science positions are growing exponentially across a variety of industries. With this online certificate program, you’ll study at the graduate level to gain the knowledge you need to advance in your career. You’ll learn to apply mathematical theory and decision-making techniques that are vital to solving business problems through real-world projects designed by instructors.GO TO TRAINING
OUR TAKE: In partnership with George Tech, this edX training will provide certification in data structures, data visualization, tree data structures and data analysis in 5 months at a recommended pace of 9-to-10 hours per week.
Description: Learn how to differentiate between linear data structures like linkedlists, arrays, arraylists, stacks, and queues, and select the correct structure for a given situation. Analyze data structure performance with the course visualization tool.GO TO TRAINING
TITLE: Statistical Analysis in R
OUR TAKE: This self-paced certification course features expert instruction and 2 skill-building courses. It is self-paced and takes 3 months to complete if students follow the recommended 5-to-10 hours per week of training.
Description: You will learn the basics of statistical inference, confidence intervals, hypothesis testing, commonly used tests, Pvalues, statistical and practical significance. Students will also learn Linear Regression, Analysis of Variance with Covariates (ANCOVA), Generalised Linear Models (GLMs) and Mixed Effects Linear models using R.GO TO TRAINING
TITLE: Data Processing and Analysis
OUR TAKE: This edX and ITMO University module will certify you in how to preprocess large datasets, store data via SQL, and more. It will take roughly 4 months to complete and features three individual, self-paced courses.
Description: The demand for skilled data analysts both in science and industry is constantly growing. Data processing and analysis Professional Certificate Program gives you the necessary knowledge base and useful skills to face data analysis challenges in your professional field.GO TO TRAINING
OUR TAKE: This professional certificate will teach you how to apply critical thinking skills when dealing with data. It is self-paced, features three different skill-building courses, expert instruction, and should take 3 months to complete.
Description: This Professional Certificate program prepares students, working professionals, and decision-makers to become data literate in both their professional and personal lives. In today’s data-driven world, data literacy will transform you into a “data citizen,” allowing you to communicate and make decisions based upon facts with confidence. You will emerge as a champion for a data literate culture.GO TO TRAINING
TITLE: Data Analysis for Genomics
OUR TAKE: edX and Harvard University team to offer this self-paced, expert instruction on data analysis for genomics. The certification features three skill-building courses and takes roughly three months to complete.
Description: Using open-source software, including R and Bioconductor, you will acquire skills to analyze and interpret genomic data. These courses are perfect for those who seek advanced training in high-throughput technology data. Problem sets will require coding in the R language to ensure mastery of key concepts.GO TO TRAINING
OUR TAKE: The Data Analysis for Life Sciences certification touts four skill-building courses, self-paced learning and takes four months to complete when studying 2-to-4 hours per week.
Description: Taught by Rafael Irizarry from the Harvard T.H. Chan School of Public Health, these courses will enable new discoveries and will help you improve individual and population health. If you’re working in the life sciences and want to learn how to analyze data, enroll now to take your research to the next level.GO TO TRAINING
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