Analyst Certifications

Explore the top Analyst certifications that are important to a successful career.

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Getting Certified as a Analyst

In the intricate world of data analysis and business intelligence, certifications serve as a beacon of proficiency, assuring employers of your expertise and commitment to the field. For analysts at any stage of their career, these credentials act as a catalyst for professional development, equipping them with the latest tools, techniques, and best practices.

This guide will illuminate the path to selecting the most impactful certifications, tailored to your career goals and the evolving needs of the analytics industry. By understanding the significance and strategic advantage of these certifications, you position yourself at the forefront of a data-driven marketplace, ready to harness information with precision and insight.

Top Analyst Certifications

Certified Business Intelligence Professional (CBIP)
Transforming Data With Intelligence (TDWI)
Data Science Certificate
Harvard University (through edX)
Google Data Analytics Professional Certificate
Google (offered through Coursera)
IBM Data Analyst Professional Certificate
IBM on Coursera
SAS Certified Advanced Analytics Professional Using SAS 9
SAS Institute
Certified Health Data Analyst (CHDA)
American Health Information Management Association (AHIMA)
Certified Financial Analyst (CFA)
CFA Institute
Tableau Desktop Certified Professional
Tableau
Microsoft Certified: Data Analyst Associate
Microsoft
Certified Analytics Professional (CAP)
INFORMS

Best Analyst Certifications

Certified Business Intelligence Professional (CBIP)

Certification Provider
Transforming Data With Intelligence (TDWI)
Best For
Business Intelligence Analysts, Data Analysts, BI Developers, Data Warehouse Architects, IT Project Managers with BI focus, Business Analysts with data specialization
Description
The Certified Business Intelligence Professional (CBIP) credential, offered by Transforming Data With Intelligence (TDWI), is designed for IT professionals seeking to demonstrate expertise in business intelligence, data management, and analytics. This certification validates a candidate's ability to align business needs with IT resources, implement data governance practices, and leverage data to drive decision-making. CBIP holders are recognized for their strategic insights, technical skills, and ability to manage complex BI projects, ensuring they are well-equipped to lead organizations in data-driven initiatives.
Includes Certification
Yes
Time to Complete
Price
Prerequisites
  • Bachelor's degree or equivalent from an accredited college-level institution is recommended but not required.
  • Two or more years of full-time work experience in computer information systems, data modeling, data planning, data definitions, metadata systems development, enterprise resource planning, systems analysis, application development and programming, or information technology management.
  • The CBIP exams require a solid understanding of data warehousing, business analytics, and business intelligence concepts.
  • Three exams must be passed to become certified: two mandatory (Information Systems Core and Data Warehousing) and one specialty exam (chosen from Business Analytics, Data Analysis and Design, Data Integration, Data and Information Quality, Leadership and Management, or Business Intelligence).
  • Continuing education: Recertification is required every three years, which involves earning a minimum of 120 continuing education credits.
  • Agreement to adhere to the TDWI Professional Code of Ethics.

    • Data Science Certificate

    Certification Provider
    Harvard University (through edX)
    Best For
    Data Analysts, Business Intelligence Professionals, Junior Data Scientists, Statisticians with programming interest, IT Professionals transitioning to Data Science, Recent Graduates in Computer Science or Statistics
    Description
    The Data Science Certificate from Harvard University, offered through edX, is a prestigious program designed to impart a robust understanding of data science. It covers key concepts such as probability, inference, regression, and machine learning. Students will learn to use tools like R, Python, and SQL to analyze and interpret complex datasets. This certification is ideal for those looking to enhance their analytical skills and pursue a career in the rapidly evolving field of data science.
    Includes Certification
    Yes
    Time to Complete
    140-160 hours
    Price
    $792
    Prerequisites
  • Basic understanding of high school level mathematics (especially algebra and calculus)
  • Familiarity with fundamental concepts of programming (experience with Python is recommended)
  • Access to a computer with internet connection to complete online coursework
  • Completion of the courses in the prescribed sequence, as the program is cumulative
  • Payment of the course fee or financial aid approval for each course within the program
  • Commitment to self-paced learning, as the program is designed for flexible schedules

    • Google Data Analytics Professional Certificate

    Certification Provider
    Google (offered through Coursera)
    Best For
    Entry-Level Data Analysts, Aspiring Data Scientists, Business Intelligence Professionals, Marketing Analysts, Recent Graduates in any field, Career Changers with an interest in data analytics
    Description
    The Google Data Analytics Professional Certificate, offered through Coursera, equips learners with essential data analytics skills. This program focuses on practical applications of data collection, transformation, and visualization, using tools like spreadsheets, SQL, and Tableau. It also covers analytical thinking, problem-solving, and how to effectively communicate data insights. Designed for beginners, the course prepares participants for entry-level data analyst roles, offering a hands-on approach to mastering the data analysis process.
    Includes Certification
    Yes
    Time to Complete
    180 hours
    Price
    $39 per month
    Prerequisites
  • No formal education or prior experience in data analytics is required.
  • Basic computer literacy and comfort with navigating computer applications.
  • Access to a computer with an internet connection to complete the online modules.
  • Understanding of basic math concepts may be beneficial.
  • Proficiency in English, as the course content is delivered in English.
  • Commitment to complete the entire course, which includes hands-on projects and assessments.

    • IBM Data Analyst Professional Certificate

    Certification Provider
    IBM on Coursera
    Best For
    Junior Data Analyst, Aspiring Data Scientist, Business Analyst, Marketing Analyst, Entry-level Data Engineer, Recent Graduates in Economics or Business
    Description
    The IBM Data Analyst Professional Certificate, offered through Coursera, equips learners with essential data analytics skills. This program covers data analysis tools and methodologies, including spreadsheets, SQL, Python, data visualization, and the use of statistical analysis to inform business decisions. Participants will engage in hands-on projects to practice data cleaning, analysis, and presentation, preparing them for a career in data analysis. No prior experience is required, making it accessible to those looking to enter the field.
    Includes Certification
    Yes
    Time to Complete
    140 hours
    Price
    Prerequisites
  • No prior experience in data analysis or related fields is required.
  • Basic computer literacy and proficiency in navigating online platforms.
  • Access to a computer with internet connectivity to complete the online course modules and hands-on projects.
  • Commitment to complete the series of courses included in the professional certificate program.
  • Willingness to learn and use data analysis tools such as spreadsheets, SQL, and Python.
  • Understanding of basic mathematical concepts may be beneficial but not mandatory.

    • SAS Certified Advanced Analytics Professional Using SAS 9

    Certification Provider
    SAS Institute
    Best For
    Data Scientists, Advanced Analytics Professionals, Business Analysts with a focus on predictive analytics, SAS Programmers seeking specialization, Statisticians in data-driven industries, Machine Learning Engineers
    Description
    The SAS Certified Advanced Analytics Professional Using SAS 9 certification is designed for individuals seeking to demonstrate their expertise in using advanced analytics techniques with SAS 9. This certification validates a candidate's ability to analyze big data, create predictive models, and apply statistical methods. It requires proficiency in topics such as machine learning, forecasting, optimization, and simulation. Earning this credential involves passing several exams that assess a deep understanding of SAS analytics tools and the ability to apply complex analytical techniques in practical scenarios.
    Includes Certification
    Yes
    Time to Complete
    Price
    Prerequisites
  • A fundamental understanding of SAS programming and data management techniques.
  • Completion of required coursework or equivalent experience in advanced analytics and related SAS tools.
  • Passing scores on three separate exams: Predictive Modeling Using SAS Enterprise Miner, Advanced Predictive Modeling, and Text Analytics, Time Series, Experimentation, and Optimization.
  • Knowledge of statistical concepts and analytical techniques, including machine learning, forecasting, and optimization.
  • Practical experience applying analytical techniques to real-world business problems.
  • Familiarity with SAS 9 platform and its utilities for performing advanced analytics.

    • Certified Health Data Analyst (CHDA)

    Certification Provider
    American Health Information Management Association (AHIMA)
    Best For
    Health Data Analyst, Clinical Data Manager, Health Informatics Specialist, Healthcare Quality Improvement Analyst, Medical Informatics Analyst, Health Information Management (HIM) Professional with data analysis experience
    Description
    The Certified Health Data Analyst (CHDA) credential, offered by the American Health Information Management Association (AHIMA), is designed for health data professionals aiming to enhance their skills in data management, analysis, and reporting. This certification validates expertise in health data analysis, ensuring proficiency in the interpretation of healthcare data and its application in decision-making. CHDA holders are recognized for their ability to translate complex data into actionable insights, making them valuable assets in healthcare settings focused on quality improvement and operational efficiency.
    Includes Certification
    Yes
    Time to Complete
    Price
    Prerequisites
  • Bachelor's degree or higher in a related field (e.g., health information management, healthcare informatics, statistics, data science, or computer science)
  • Minimum of three (3) years of healthcare data experience; this may include data management, data analysis, or informatics
  • Alternatively, a minimum of a master's degree in Health Information Management (HIM) or Health Informatics from an accredited school can reduce the required work experience to one (1) year
  • For those without a bachelor's degree, a minimum of six (6) years of healthcare data experience is required
  • Active membership with the American Health Information Management Association (AHIMA) is recommended
  • Passing the CHDA examination, which assesses knowledge in data management, data analytics, and data reporting

    • Certified Financial Analyst (CFA)

    Certification Provider
    CFA Institute
    Best For
    Portfolio Managers, Financial Analysts, Investment Bankers, Risk Managers, Research Analysts, Asset Managers
    Description
    The Certified Financial Analyst (CFA) credential, bestowed by the CFA Institute, is a prestigious certification for finance and investment professionals. It signifies a strong understanding of advanced investment analysis and real-world portfolio management skills. The rigorous program is divided into three levels, requiring a minimum of 300 hours of study each. Candidates must pass all levels and have relevant work experience to earn the designation. The CFA charter is globally recognized and highly valued in the fields of investment management, research, and financial analysis.
    Includes Certification
    Yes
    Time to Complete
    900 hours
    Price
    Prerequisites
  • A bachelor's degree or equivalent: Candidates must have completed a bachelor's degree program or be in the final year of their bachelor's degree program at the time of registration.
  • Work experience: Four years of professional work experience in the investment decision-making process or a combination of professional work and university experience that totals at least four years.
  • Passport: A valid international travel passport is required for enrollment and exam registration.
  • Professional conduct: Agreement to adhere to the CFA Institute Code of Ethics and Standards of Professional Conduct.
  • Exam registration: Candidates must register for each level of the CFA exam and pay the associated fees.
  • Membership: After passing all three levels of the CFA exam, candidates must become members of the CFA Institute to receive the CFA charter.

    • Tableau Desktop Certified Professional

    Certification Provider
    Tableau
    Best For
    Data Analysts, Business Intelligence Professionals, Data Visualization Specialists, Senior Data Scientists, Advanced Tableau Users, Business Analysts with Data Focus
    Description
    The Tableau Desktop Certified Professional certification, offered by Tableau, is designed for individuals with advanced skills and experience in Tableau Desktop. It validates a professional's ability to apply visual analytics methodologies, create complex calculations, build innovative dashboards, and master the nuances of data visualization. This certification requires a deep understanding of Tableau's functionality and the ability to apply best practices to translate data into impactful, actionable insights. It involves a rigorous exam that tests practical application through real-world scenario-based questions.
    Includes Certification
    Yes
    Time to Complete
    Price
    $600
    Prerequisites
  • Completion of the Tableau Desktop Certified Associate exam or equivalent experience
  • Advanced knowledge and skills in Tableau Desktop
  • Understanding of and experience with data analytics and visualization best practices
  • Ability to create complex calculations, build innovative dashboards, and apply visual analytics methodologies
  • Practical, hands-on experience with Tableau, typically for a minimum of several months to a year
  • Agreement to the Tableau Certification Candidate Agreement

    • Microsoft Certified: Data Analyst Associate

    Certification Provider
    Microsoft
    Best For
    Data Analysts, Business Intelligence Analysts, Business Analysts, Data Scientists, BI Developers, Data Engineers
    Description
    The Microsoft Certified: Data Analyst Associate certification validates an individual's expertise in transforming data into actionable insights using Microsoft Power BI. It focuses on data preparation, modeling, visualization, and analysis, as well as deploying and maintaining deliverables. This certification is ideal for professionals seeking to demonstrate their skills in using Power BI to drive data-driven decision-making across their organization. Candidates will learn to connect to and process data from various sources, and create and share visual reports that reveal data insights.
    Includes Certification
    Yes
    Time to Complete
    100-120 hours
    Price
    $165
    Prerequisites
  • Fundamental understanding of data repositories and data processing both on-premises and in the cloud.
  • Basic knowledge of key data concepts and familiarity with the Microsoft Power Platform.
  • Experience with Excel and formulas is recommended but not required.
  • Passing the Exam DA-100: Analyzing Data with Microsoft Power BI to earn the certification.
  • No formal education or prior certification is required, but practical experience with data analysis is beneficial.
  • Understanding of how to use Power BI and its tools for data analysis, including creating reports, dashboards, and visualizations.

    • Certified Analytics Professional (CAP)

    Certification Provider
    INFORMS
    Best For
    Data Analysts, Business Intelligence Analysts, Analytics Consultants, Operations Research Analysts, Data Scientists with 3-7 years experience, Marketing Analysts
    Description
    The Certified Analytics Professional (CAP) offered by INFORMS is a premier credential designed for analytics practitioners. It validates a professional's expertise in data analytics processes, from framing business and analytics problems to data methodology, model building, deployment, and lifecycle management. CAP certification ensures that holders possess the necessary skills to drive better business decisions through analytics and are committed to continuous learning and ethical practice in the field. Ideal for professionals seeking to demonstrate their analytics proficiency and enhance their career prospects.
    Includes Certification
    Yes
    Time to Complete
    Price
    $695
    Prerequisites
  • A bachelor's degree in a related field or equivalent experience.
  • A minimum of three to seven years of professional analytics work experience, with the duration depending on the level of higher education achieved.
  • Agreement to adhere to the INFORMS Code of Ethics for Certified Analytics Professionals.
  • Completion of the CAP application process, which includes documenting education and work experience.
  • Passing the CAP examination, which covers the analytics process from problem framing to model deployment and lifecycle management.
  • Commitment to continuous professional development, as CAP certification requires ongoing learning and renewal every three years.

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    Benefits of Having a Analyst Certification

    Professional Validation and Expertise: An Analyst certification is a powerful endorsement of your analytical skills and knowledge. It demonstrates to employers that you have undergone rigorous training and assessment, validating your expertise in data interpretation, statistical analysis, and strategic thinking. This professional recognition can be a significant asset in establishing your reputation in the field.

    Comprehensive Skill Enhancement: Certification programs are designed to cover a broad range of analytical techniques and tools, from data visualization to predictive modeling. By pursuing a certification, you ensure that you are not only proficient in the fundamentals but also adept at using advanced analytics to drive business decisions, keeping you at the forefront of your profession.

    Greater Career Mobility: Whether you're aiming for a promotion or looking to pivot into a more specialized analytical role, a certification can be a catalyst for career progression. It showcases your dedication to continuous learning and can give you a competitive edge in the job market, often leading to better job prospects and higher earning potential.

    Networking and Professional Community: Earning an Analyst certification often grants you access to a community of professionals and experts in the field. This network can be an invaluable resource for exchanging ideas, staying informed about industry developments, and discovering new career opportunities.

    Confidence in Problem-Solving: The process of achieving certification equips you with a robust set of analytical tools and problem-solving methodologies. This not only enhances your performance in your current role but also instills a greater sense of confidence in your ability to tackle complex data-driven challenges and contribute to informed decision-making within your organization.

    How to Choose the Best Analyst Certification

    Selecting the right certification as an Analyst is a strategic step that can significantly enhance your professional value and open up new career opportunities. In the diverse field of analytics, certifications can help you stand out, validate your expertise, and equip you with the latest tools and methodologies. This section is designed to guide you through the process of choosing a certification that not only aligns with your current skills and experience but also supports your future career ambitions in the dynamic world of analytics.

    • Identify Your Specialization: Determine the area of analytics where you want to specialize, whether it's data science, business intelligence, financial analysis, or another niche. Look for certifications that deepen your expertise in that specific area, ensuring that you become a sought-after expert with a competitive edge in your chosen field.
    • Industry Demand and Skill Gaps: Analyze the market to understand which analytical skills are in high demand and identify any skill gaps you may have. Choose certifications that address these gaps and are highly valued by employers in your industry, thereby increasing your employability and potential for career advancement.
    • Tools and Techniques: Opt for certifications that provide proficiency in the latest analytical tools and techniques. Whether it's mastering a new statistical software, learning advanced data visualization, or understanding machine learning algorithms, ensure the certification keeps you at the forefront of technological advancements.
    • Professional Network and Credibility: Consider certifications that not only enhance your knowledge but also expand your professional network. Certifications from reputable organizations often come with membership to professional bodies, access to exclusive events, and a platform to connect with industry leaders, which can be invaluable for your career growth.
    • Return on Investment: Evaluate the cost, time commitment, and potential return on investment (ROI) of the certification. High-quality certifications can be a significant investment, so it's important to consider how the certification will contribute to your earning potential and career progression to ensure it's a wise financial decision.

    Preparing for Your Analyst Certification

    Earning a certification as an Analyst is a strategic move that can enhance your credibility, expand your skill set, and potentially open doors to new career opportunities. The process of preparing for an Analyst certification is an investment in your professional development, and it requires thoughtful planning and dedication. To maximize the benefits of your certification and to ensure that you are thoroughly prepared for the exam and its application in the workplace, follow these targeted strategies.

    Identify Your Specialization: Before you begin, determine the type of Analyst certification that aligns with your career goals. Are you focusing on data analysis, business analysis, financial analysis, or another specialized field? Understanding the niche you wish to excel in will help you select the most appropriate certification and tailor your preparation to cover the relevant competencies and tools.

    Develop a Comprehensive Study Guide: Once you've chosen your certification, create a detailed study guide that encompasses all the topics included in the certification's syllabus. Break down the content into thematic blocks and set a realistic timeline for tackling each section. This structured approach will ensure that you systematically work through the material and retain the information more effectively. Incorporate a mix of reading, video tutorials, and hands-on exercises to cater to different learning styles.

    Utilize Analytical Tools and Software: Proficiency in analytical tools and software is often a critical component of Analyst certifications. Make sure to get hands-on experience with the relevant programs, whether it's SQL, Excel, R, Python, or specific business intelligence platforms. Practice by working on sample datasets or personal projects to build confidence and practical skills that will not only help you during the certification exam but also in your day-to-day work.

    Join Analyst Forums and Networks: Connect with a community of professionals who are also pursuing Analyst certifications or who have already achieved them. Engaging in forums, social media groups, or local meetups can provide support, insights, and additional resources that can enhance your study efforts. Networking with peers can also lead to study partnerships, where you can share knowledge, ask questions, and gain new perspectives on challenging topics.

    Simulate Real Exam Conditions: To prepare effectively for the certification exam, simulate the testing environment by taking timed practice tests. This will help you get comfortable with the format of the questions and the pressure of the time limit. Analyze your practice test results to identify areas of weakness that require further study. Regularly testing your knowledge will improve your exam performance and reduce anxiety on the actual test day.

    Reflect on Practical Implications: As you prepare for your certification, continuously reflect on how the concepts and techniques can be applied to real-world business problems. Think about case studies or projects you have encountered in your work and consider how the methodologies you are learning could have impacted the outcomes. This practical reflection will not

    Certification FAQs for Analysts

    Is getting a Analyst certification worth it?

    The worth of an Analyst certification hinges on your career objectives, experience level, and the niche you aim to excel in. For novices, it's a valuable asset that imparts crucial analytical techniques, industry-specific knowledge, and a credential that can bolster entry into the analytics domain. For seasoned analysts, certifications can serve to refine expertise, keep pace with evolving data tools and methodologies, or underscore a dedication to ongoing professional growth.

    Certifications can also elevate your professional profile, offering a competitive edge in a job market that increasingly values data-driven decision-making skills. They signal to employers a serious commitment to mastering the craft of analysis, potentially tipping the scales in your favor during the hiring process.

    Do you need a certification to get a job as a Analyst?

    Certifications are not strictly required to secure a job as an Analyst, but they can significantly bolster your profile, particularly if you're new to the field or lack extensive experience. They serve as evidence of your technical skills and commitment to professional growth.

    However, employers often prioritize analytical thinking, problem-solving abilities, and proficiency with data tools. A blend of hands-on experience, strong analytical competencies, and relevant certifications can provide a comprehensive demonstration of your qualifications as an Analyst.

    Can Analyst certifications help pivoters make the transition into Data & Analytics from another career path?

    Yes, Analyst certifications can be a significant asset for those shifting from a different career into data analysis. These certifications typically cover essential analytical techniques, tools, and industry best practices, equipping career changers with the technical know-how required in the field. They serve as a testament to your dedication to mastering analytical skills and can enhance your resume, making you a more competitive candidate. Additionally, the learning process often involves case studies and projects that can be showcased as practical experience, further aiding in the transition.
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