The editors at Solutions Review have compiled this list of the best data analyst certifications online to consider acquiring.
Data analysts retrieve and gather data, organize it and use it to help their organization making meaningful decisions. Data analysts can work in a variety of departments which makes the position unique given the different types of data those in the role tend to analyze. The position can also involve developing systems for data collection and automation to improve outcomes. Data analysts remain intimately involved in most every part of the analytic process as well.
With this in mind, we’ve compiled this list of the best data analyst 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 analyst certifications online from trusted institutions. We made sure to include certificate descriptions and Solutions Review’s personal take on each.
The Best Data Analyst Certifications
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: 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
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
OUR TAKE: Starting with the Certified Business Analysis Professional course, this Simplilearn master’s program touts more than 150 hours of live interactive learning and a capstone built on datasets from Unilever and Amazon.
Description: This globally recognized Business Analyst Certification course is designed to train you on all three aspects of business analysis – planning and monitoring, requirements elicitation, and requirements management and communication. Become job-ready by learning the latest tools, working on real-world projects, and attending Master Classes from IBM experts.GO TO TRAINING
OUR TAKE: This certification includes live Master Classes and AMA sessions with IBM leadership, more than 120 hours of educational content led by industry leaders, and a capstone plus 15 real-life projects.
Description: This Data Analyst Master’s Program in collaboration with IBM will make you an expert in data analysis. In this Data Analyst certification course, you’ll learn analytics tools and techniques, how to work with SQL databases, the languages of R and Python, how to create data visualizations, and how to apply statistics and predictive analytics in a business environment.GO TO TRAINING
OUR TAKE: This Udacity Nanodegree will take you roughly 3 months to complete spending 10 hours per week. It is a beginner-level program with no prerequisite knowledge required.
Description: In this program, you’ll learn foundational data skills that apply across functions and industries. You’ll learn to analyze data and build models with Excel, query databases using SQL, and create informative data visualizations with Tableau. You will leave with practical skills that you can apply in any job. These skills are also a great foundation to a career in data analysis and data science.GO TO TRAINING
TITLE: Data Analyst Nanodegree
OUR TAKE: You should have experience working with Python and SQL before taking this certification. This module will enable you to uncover insights, communicate key findings and create data-based solutions to complex problems.
Description: Advance your programming skills and refine your ability to work with messy, complex datasets. You’ll learn to manipulate and prepare data for analysis, and create visualizations for data exploration. Finally, you’ll learn to use your data skills to tell a story with data.GO TO TRAINING
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