{"id":79969,"date":"2026-06-14T18:33:09","date_gmt":"2026-06-14T16:33:09","guid":{"rendered":"https:\/\/stackfuel.com\/?p=79969"},"modified":"2026-06-15T18:35:58","modified_gmt":"2026-06-15T16:35:58","slug":"data-analytics-zertifizierungen","status":"publish","type":"post","link":"https:\/\/stackfuel.com\/en\/blog\/data-analytics-certifications\/","title":{"rendered":"The 8 Best Data Analytics Certifications for 2026"},"content":{"rendered":"
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Data analytics has gained in importance in recent years as companies increasingly need to make data-driven decisions in order to remain competitive. The ability to analyze large amounts of data and gain valuable insights from it has become a decisive competitive advantage.<\/p>\n

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By using data analytics, companies can work more efficiently, reduce costs, better understand customer needs and develop innovative solutions. At the same time, there is an extreme need for skilled workers: In Germany alone, 149,000 IT jobs are currently unfilled. The demand for data and AI experts in particular continues to grow enormously.<\/p>\n

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With the right certification, you can hone your skills, demonstrate your expertise, and stand out from the crowd. But with so many programs and courses available, it can be difficult to keep track of them all and make the right choice for your personal and professional goals. In this article, we present the best data analytics certifications for 2026 to help you make an informed decision about your career or professional development. And the best part: Thanks to the education voucher<\/a> free of charge under certain conditions.<\/p>\n

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The State of Data Analytics in 2026<\/h2>\n

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In 2026, data analytics remains a rapidly growing field. Current trends include the use of artificial intelligence and machine learning to automate analytical processes, the rise of real-time analytics, and the increased use of cloud-based analytics platforms. Companies are also increasingly turning to advanced analytics to perform predictive and prescriptive analyses.<\/p>\n

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The role of data analytics in various industries<\/h3>\n

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Data analytics plays a key role in a wide range of industries, from financial services and healthcare to retail and e-commerce. In healthcare, for example, it enables the prediction of disease outbreaks and the personalization of patient treatments. In retail, it is used for inventory optimization and personalized marketing.<\/p>\n

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Why a career in data analytics is relevant now<\/h3>\n

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A career in data analytics is highly relevant due to the high demand for professionals who can interpret data and derive strategic business decisions from it. The demand for data analysts exceeds the supply, which leads to attractive salaries and career opportunities.<\/p>\n

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Job Description for a Data Analyst in 2026<\/h3>\n

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The typical duties and responsibilities of a data analyst are likely to continue to include the following areas in 2026:<\/p>\n

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    \n
  1. \n
      <\/ol>\n<\/li>\n<\/ol>\n
        \n
      1. Data collection and processing:<\/strong> Collecting, cleaning and processing data from various sources.<\/li>\n
      2. Data analysis:<\/strong> Application of statistical methods and analysis tools to gain knowledge from data.<\/li>\n
      3. Reporting:<\/strong> Creation of reports and dashboards to visualize data for decision-makers.<\/li>\n
      4. Forecasting and modeling:<\/strong> Development of models to predict future trends and patterns.<\/li>\n
      5. Communication:<\/strong> Presentation of the analysis results to stakeholders and non-experts.<\/li>\n<\/ol>\n

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        Career prospects and development opportunities for data analysts can include specializing in certain technologies or industries, becoming a data scientist or taking on management positions in the field of data analysis.<\/p>\n

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        \"Banner<\/a><\/figure>\n

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        What do you need to become a data analyst?<\/h2>\n

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        A data analyst should have strong analytical skills, knowledge of statistics and the ability to use data visualization tools. Programming skills in languages such as Python or R and experience with database queries and management systems are also important. Certifications can help to demonstrate your expertise and improve your career prospects.<\/p>\n

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        In some cases, certifications can serve as a supplement to a traditional degree or even be more important when it comes to very specialized knowledge with a lot of practical experience. For more information on this topic, take a look at our article \"How to become a data analyst<\/a>\" to.<\/p>\n

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        The importance of certifications for career paths in data analytics<\/h3>\n

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        Certifications are an important way to demonstrate expertise in data analytics. They can increase your credibility and show that you have the latest knowledge in this rapidly evolving field. Data analytics certifications can also help you in your job search, as many employers recognize them as proof of expertise. Overall, certificates can significantly improve your job prospects in the field of data analytics by:<\/p>\n

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          \n
        1. \n
            <\/ol>\n<\/li>\n<\/ol>\n
              \n
            1. \n
                \n
              1. Demonstrate specific skills:<\/strong> They show that you have the necessary knowledge and skills.<\/li>\n
              2. Demonstrate commitment:<\/strong> They signal to potential employers your commitment to lifelong learning and professional development.<\/li>\n
              3. offer a competitive advantage:<\/strong> In a highly competitive job market, certifications can be a decisive advantage.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

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                Decision criteria for the right certification<\/h3>\n

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                When choosing a certification in the field of data analytics, you should pay attention to various factors:<\/p>\n

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                1. \n
                    <\/ol>\n<\/li>\n<\/ol>\n
                      \n
                    1. \n
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                      1. Relevance and recognition:<\/strong> The certification should be recognized by the industry and cover current topics that are important to employers.<\/li>\n
                      2. Contents and learning objectives:<\/strong> The course content should be in line with your personal and professional goals and provide the necessary skills for your desired position.<\/li>\n
                      3. Practical relevance:<\/strong> The certification should include practical use cases in order to be able to apply what has been learned directly in practice.<\/li>\n
                      4. Costs and time:<\/strong> The costs and time required for certification should be proportionate to the expected benefits.<\/li>\n
                      5. Further training opportunities:<\/strong> Check whether the certification offers opportunities for further training and whether it builds on other certificates or is independent.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

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                        Choosing the right data analytics certification<\/h2>\n

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                        When choosing the right data analytics certification, various factors are important - above all your level of knowledge, the type of training, the duration and the costs. This section provides you with comprehensive guidance to help you find the right certification for your professional goals.<\/p>\n

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                        Whether you're new to the industry or already have experience and want to deepen your knowledge, there are programs for every need. From self-paced lessons to intensive bootcamps, from free courses to investing in your future, you'll find all the information you need to make an informed decision.<\/p>\n

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                        Online schools in Germany<\/h3>\n

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                        Below we give you a brief overview of the most important providers of online training in the field of data analytics. Here you can find out which provider is best suited to your personal needs.<\/p>\n

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                        StackFuel Data Analyst Certification<\/a><\/h3>\n

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                        At a glance:<\/strong><\/p>\n

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                        Study mode:<\/strong> Online<\/p>\n

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                        Ideal for:<\/strong> Beginners and career changers<\/p>\n

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                        Duration: <\/strong>Flexible learning time with 6-8 hours per week<\/p>\n

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                        Price:<\/strong> 5,355 euros, full funding possible through education voucher<\/p>\n

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                        Who is the StackFuel Data Analyst certification suitable for?<\/strong><\/p>\n

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                        The StackFuel Data Analyst certification is ideal for individuals seeking a reputable certification in the German-speaking world. The StackFuel program has been developed in collaboration with leading German companies and accordingly covers the latest and most in-demand technologies. It is designed to be flexible, allowing participants to attend both group and individual sessions with StackFuel's in-house expert team of data scientists and analysts.<\/p>\n

                        <\/p>\n

                        The program is particularly suitable for those who are looking for a career in data analysis and want to acquire basic to advanced knowledge of Python. Due to the flexible design, you can also complete the certification while working. The program is particularly attractive for unemployed people in Germany because the Jobcenter and the Agentur f\u00fcr Arbeit fully finance the certification.<\/p>\n

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                        More information about the education voucher <\/a>can be found in our blog article.<\/p>\n

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                        How does the StackFuel Data Analyst certification work?<\/strong><\/p>\n

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                        The course includes comprehensive training in Python basics, data analysis with Python, statistics and working with databases. The course content is taught online and supplemented by practical exercises. An individual learning program allows participants to learn at their own pace.<\/p>\n

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                        How long does it take to complete the StackFuel Data Analyst certification?<\/strong><\/p>\n

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                        The program is designed so that you can complete it flexibly and alongside your job. The recommended weekly learning time is 6-8 hours.<\/p>\n

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                        How much does the StackFuel Data Analyst certification cost?<\/strong><\/p>\n

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                        The cost of the program is 4,990 euros. An education voucher from the job center or the employment agency covers 100 % of these costs.<\/p>\n

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                        Book consultation now<\/a><\/div>\n

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                        DataScientest Data Analyst training<\/a><\/h3>\n

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                        At a glance:<\/strong><\/p>\n

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                        Study mode: <\/strong>Online hybrid (on-demand and virtual live seminars)<\/p>\n

                        <\/p>\n

                        Ideal for: <\/strong>Beginners and career changers<\/p>\n

                        <\/p>\n

                        Duration: <\/strong>Bootcamp (9 weeks) or part-time (6 months)<\/p>\n

                        <\/p>\n

                        Price: 5,990 euros<\/strong><\/p>\n

                        <\/p>\n

                        <\/p>\n

                        Who is the DataScientest Data Analyst training course suitable for?<\/strong><\/p>\n

                        <\/p>\n

                        The DataScientest Data Analyst training course is suitable for people who are looking for comprehensive and intensive data analytics training in a short period of time. There are options for a bootcamp or part-time study, ideal for people who want to learn quickly or in parallel with their job. Graduates receive their certificate of completion from La Sorbonne University in Paris.<\/p>\n

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                        <\/p>\n

                        How does the DataScientest Data Analyst training course work?<\/strong><\/p>\n

                        <\/p>\n

                        The training includes modules in Python programming, data visualization, machine learning, data analysis, data extraction and management, business intelligence and big data\/databases. The learning method combines online learning with master classes.<\/p>\n

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                        <\/p>\n

                        How long does it take to complete the program?<\/strong><\/p>\n

                        <\/p>\n

                        The boot camp lasts 9 weeks, while the part-time version is designed to last 6 months.<\/p>\n

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                        <\/p>\n

                        How much does it cost?<\/strong><\/p>\n

                        <\/p>\n

                        The cost is \u20ac5,990. Financing options are available, including education vouchers and installment payments.<\/p>\n

                        <\/p>\n

                        <\/p>\n

                        International online schools<\/h3>\n

                        <\/p>\n

                        International schools cannot accept education vouchers. However, their offerings are often linked to well-known industry experts. International online schools advertise that large US tech companies give preference to their alumni.<\/p>\n

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                        <\/p>\n

                        Springboard Data Analytics Career Track<\/a><\/h3>\n

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                        At a glance:<\/strong><\/p>\n

                        <\/p>\n

                        Study mode: <\/strong>Online<\/p>\n

                        <\/p>\n

                        Ideal for: <\/strong>Beginners and advanced users<\/p>\n

                        <\/p>\n

                        Duration: <\/strong>Approximately6 months<\/p>\n

                        <\/p>\n

                        Price: <\/strong>8,500 USD with advance payment, other payment options available<\/p>\n

                        <\/p>\n

                        <\/p>\n

                        Who is the Springboard Data Analytics Career Track suitable for?<\/strong><\/p>\n

                        <\/p>\n

                        The program is ideal for people who comprehensive training in data analysis<\/a> search. It is suitable for both beginners and advanced learners who want to deepen their skills. Springboard offers these courses in partnership with Microsoft.<\/p>\n

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                        <\/p>\n

                        How does the Springboard Data Analytics Career Track work?<\/strong><\/p>\n

                        <\/p>\n

                        The course offers a mixture of theoretical learning and practical projects. It covers various aspects of data analysis, including statistical analysis, data visualization and the use of data analysis tools. The online offer is complemented by 1:1 career coaching sessions and regular expert meetings. Springboard promises participants with a degree and work experience a job guarantee.<\/p>\n

                        <\/p>\n

                        <\/p>\n

                        How long does it take to complete the program?<\/strong><\/p>\n

                        <\/p>\n

                        Participants can complete the program in six months by investing 15-20 hours per week. By investing more time, participants can also obtain the certificate more quickly.<\/p>\n

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                        How much does it cost?<\/strong><\/p>\n

                        <\/p>\n

                        The cost is USD 8,500 for advance payment. There are also other payment options.<\/p>\n

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                        BrainStation Data Analytics Online Course<\/a><\/h3>\n

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                        \"\"<\/figure>\n

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                        At a glance:<\/strong><\/p>\n

                        <\/p>\n

                        Study mode:<\/strong> Online or campus<\/p>\n

                        <\/p>\n

                        Ideal for:<\/strong> People who want to pursue a career in data analysis<\/p>\n

                        <\/p>\n

                        Duration:<\/strong> Various course formats available, including part-time options<\/p>\n

                        <\/p>\n

                        Price:<\/strong> 3,250 USD<\/p>\n

                        <\/p>\n

                        <\/p>\n

                        Who is the BrainStation Data Analytics course suitable for?<\/strong><\/p>\n

                        <\/p>\n

                        The BrainStation Data Analytics program is ideal for individuals who want to prepare for a career in data analytics. It is suitable for beginners as well as for people with previous knowledge who want to expand their skills.<\/p>\n

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                        <\/p>\n

                        How does BrainStation Data Analytics work?<\/strong><\/p>\n

                        <\/p>\n

                        The course is offered online and includes hands-on exercises and real-world projects led by industry experts in a virtual seminar room. BrainStation Data Analytics provides comprehensive training in data analytics, including the use of tools such as Tableau and SQL. Participants can also attend individual lectures in person at one of the BrainStation campuses in London, New York, Miami, Toronto or Vancouver.<\/p>\n

                        <\/p>\n

                        <\/p>\n

                        How long does it take to complete the program?<\/strong><\/p>\n

                        <\/p>\n

                        BrainStation Data Analytics courses usually last 5 to 10 weeks, depending on the chosen format, as it is also possible to attend the course at the weekend or in the evening.<\/p>\n

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                        <\/p>\n

                        How much does BrainStation Data Analytics cost?<\/strong><\/p>\n

                        <\/p>\n

                        The course costs USD 3,250. There is also the option of paying USD 290 over 12 monthly installments. BrainStation also offers various scholarships. Interested parties can book a consultation appointment on the BrainStation website.<\/p>\n

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                        Thinkful Data Analytics Bootcamp<\/a><\/h3>\n

                        <\/p>\n

                        \"\"<\/figure>\n

                        <\/p>\n

                        At a glance:<\/strong><\/p>\n

                        <\/p>\n

                        Study mode:<\/strong> Online<\/p>\n

                        <\/p>\n

                        Ideal for:<\/strong> Beginners and advanced users<\/p>\n

                        <\/p>\n

                        Duration: <\/strong>6 months<\/p>\n

                        <\/p>\n

                        Price: <\/strong>Free of charge up to USD 8,240<\/p>\n

                        <\/p>\n

                        <\/p>\n

                        Who is Thinkful Data Analytics Bootcamp suitable for?<\/strong><\/p>\n

                        <\/p>\n

                        This course is aimed at anyone looking for comprehensive and intensive training in the field of data analysis. It is suitable for beginners as well as for people who already have experience and want to deepen their knowledge.<\/p>\n

                        <\/p>\n

                        <\/p>\n

                        How does Thinkful Data Analytics Bootcamp work?<\/strong><\/p>\n

                        <\/p>\n

                        The course is offered online and combines theoretical learning with practical projects. It covers topics such as statistical analysis, data visualization and the use of various data analysis tools. The course is entirely self-paced, there are no live seminars or workshops. Instead, there are individual mentoring sessions.<\/p>\n

                        <\/p>\n

                        <\/p>\n

                        How long does it take to complete Thinkful Data Analytics Bootcamp?<\/strong><\/p>\n

                        <\/p>\n

                        The program is designed to last 6 months and requires a time investment of 20-30 hours per week. As this is a video-only course, interested parties can start at any time and divide the duration freely.<\/p>\n

                        <\/p>\n

                        <\/p>\n

                        How much does Thinkful Data Analytics Bootcamp cost?<\/strong><\/p>\n

                        <\/p>\n

                        There are various payment options, including an upfront payment of 8,240 dollars. Other models include installment payments or a deferred payment after job entry.<\/p>\n

                        <\/p>\n

                        <\/p>\n

                        Self-study options<\/h3>\n

                        <\/p>\n

                        Self-study options are often aimed at beginners with no prior knowledge and are sometimes free of charge. They are well suited to building up advanced knowledge for further training. The following certifications are recommended:<\/p>\n

                        <\/p>\n

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                        <\/p>\n

                        DataCamp Data Analyst Certification<\/a><\/h3>\n

                        <\/p>\n

                        \"\"<\/figure>\n

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                        At a glance:<\/strong><\/p>\n

                        <\/p>\n

                        Study mode:<\/strong> Online<\/p>\n

                        <\/p>\n

                        Ideal for: <\/strong>People with basic knowledge<\/p>\n

                        <\/p>\n

                        Duration:<\/strong> Variable, depending on the selected learning path<\/p>\n

                        <\/p>\n

                        Price: <\/strong>25 USD per month (as part of the Premium Membership)<\/p>\n

                        <\/p>\n

                        \u00a0<\/div>\n

                        <\/p>\n

                        Who is the DataCamp Data Analyst Certificate suitable for?<\/strong><\/p>\n

                        <\/p>\n

                        The program is ideal for those who already have basic knowledge of data analysis and are seeking certification. It is suitable for individuals who want to deepen their knowledge and have it officially recognized.<\/p>\n

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                        <\/p>\n

                        How does the DataCamp Data Analyst program work?<\/strong><\/p>\n

                        <\/p>\n

                        The program offers a combination of online courses and exams that assess skills in various areas of data analysis. Participants can choose from a variety of courses tailored to their needs and interests. Participants have 30 days from enrollment to complete an automatically graded exam and then a human-scored practice test.<\/p>\n

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                        How long does it take to complete the DataCamp Data Analyst program?<\/strong><\/p>\n

                        <\/p>\n

                        The duration depends on which courses are chosen and how much time the individual invests. Since this is a flexible online program, students can learn at their own pace. However, students must complete the Data Analyst certification in the first 30 days.<\/p>\n

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                        How much does the DataCamp Data Analyst certification cost? <\/strong>?<\/p>\n

                        <\/p>\n

                        To obtain certification, interested parties must sign up for a premium subscription with DataCamp. For 25 USD per month, subscribers get access to all certification courses offered by DataCamp.<\/p>\n

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                        Google Data Analytics Certificate<\/a><\/h3>\n

                        <\/p>\n

                        \"\"<\/figure>\n

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                        At a glance:<\/strong><\/p>\n

                        <\/p>\n

                        Study mode: <\/strong>Online<\/p>\n

                        <\/p>\n

                        Ideal for: <\/strong>Beginner<\/p>\n

                        <\/p>\n

                        Duration:<\/strong> Flexible, based on your own learning pace<\/p>\n

                        <\/p>\n

                        Price:<\/strong> Free of charge<\/p>\n

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                        <\/p>\n

                        Who is the Google Data Analytics certificate suitable for?<\/strong><\/p>\n

                        <\/p>\n

                        The Google Data Analytics Certificate is ideal for people who are new to data analytics and are looking for a solid introduction to the field. It is suitable for beginners with no prior knowledge as well as those looking to expand their digital skills. Previous experience or a degree is not required.<\/p>\n

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                        <\/p>\n

                        How does the Google Data Analytics certificate work?<\/strong><\/p>\n

                        <\/p>\n

                        The course is part of the Google Future Workshop, also known as Grow with Google. available online and provides a comprehensive introduction to data analysis. Participants will learn fundamental concepts and techniques required to effectively analyze and interpret data.<\/p>\n

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                        <\/p>\n

                        How long does it take to complete the Google Data Analytics certificate?<\/strong><\/p>\n

                        <\/p>\n

                        The duration of the program is flexible and depends on the participants' own learning pace. It offers the flexibility to learn in a time frame of your own choosing. The Google Data Analytics certificate can be completed in 6 months at a commitment of 10 hours per week.<\/p>\n

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                        <\/p>\n

                        How much does the Google Data Analytics certificate cost?<\/strong><\/p>\n

                        <\/p>\n

                        The Google Future Workshop courses are free of charge, including this one.<\/p>\n

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                        <\/p>\n

                        LinkedIn Data Analyst Course<\/a><\/h3>\n

                        <\/p>\n

                        \"\"<\/figure>\n

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                        At a glance:<\/strong><\/p>\n

                        <\/p>\n

                        Study mode: <\/strong>Online<\/p>\n

                        <\/p>\n

                        Ideal for: <\/strong>Beginners who want to study<\/p>\n

                        <\/p>\n

                        Duration: <\/strong>Flexible, depending on individual learning pace<\/p>\n

                        <\/p>\n

                        Price: <\/strong>Costs as part of the LinkedIn Learning membership<\/p>\n

                        <\/p>\n

                        \u00a0<\/div>\n

                        <\/p>\n

                        Who is it suitable for?<\/strong><\/p>\n

                        <\/p>\n

                        The course is aimed at those who want to expand their knowledge and skills in data analysis. It is suitable for both beginners and advanced users.<\/p>\n

                        <\/p>\n

                        \u00a0<\/div>\n

                        <\/p>\n

                        How does it work?<\/strong><\/p>\n

                        <\/p>\n

                        The course is available as part of LinkedIn Learning and offers a flexible learning platform with a variety of modules and exercises. The special feature: Graduates of LinkedIn certificates receive academic credits that are accepted by partner universities.<\/p>\n

                        <\/p>\n

                        \u00a0<\/div>\n

                        <\/p>\n

                        How long does it take to complete the program?<\/strong><\/p>\n

                        <\/p>\n

                        The duration is flexible and depends on the individual learning pace. The program contains 13 courses, each of which takes a few hours to complete. The videos total 39 hours, i.e. almost 2 days. With just a few hours a day, the program can be completed in 2-3 weeks.<\/p>\n

                        <\/p>\n

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                        <\/p>\n

                        How much does it cost?<\/strong><\/p>\n

                        <\/p>\n

                        A LinkedIn Learning membership is required to use this course. The costs for this vary: Individual courses can be purchased for 20-50 USD, a subscription costs 40 USD per month or 324 USD per year. LinkedIn offers a free trial month for new customers - so if you are only interested in this LinkedIn Data Analyst course, you can take it out for free.<\/p>\n

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                        Conclusion<\/h2>\n

                        <\/p>\n

                        You are facing a decision in your career. The demand for data analytics is constantly increasing and companies urgently need specialists. Now is the perfect time to upskill yourself and seize this opportunity. There are many options for certifications, from free online courses to intensive bootcamps. StackFuel stands out with its hands-on programs, individual mentoring and project work.<\/p>\n

                        <\/p>\n

                        The best time to act is now: If you are unemployed, you can have an education voucher issued and receive the certificate free of charge, and as a working person you can ideally complete the program on the side and rapidly increase your value in the company.\u00a0<\/p>\n

                        <\/p>\n

                        Whether you're at a career dead end or simply looking for a change, a StackFuel certification in Data Analytics will help you reach your next career goal and set you apart from the competition. Find out more about our certification in Data Analyst<\/a>.<\/p>\n

                        <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

                        Data Analytics hat in den letzten Jahren an Bedeutung gewonnen, da Unternehmen zunehmend datengesteuerte Entscheidungen treffen m\u00fcssen, um wettbewerbsf\u00e4hig zu bleiben. Die F\u00e4higkeit, gro\u00dfe Datenmengen zu analysieren und daraus wertvolle Erkenntnisse zu gewinnen, ist zu einem entscheidenden Wettbewerbsvorteil geworden. Durch den Einsatz von Data Analytics k\u00f6nnen Unternehmen effizienter arbeiten, Kosten senken, Kundenbed\u00fcrfnisse besser verstehen und […]<\/p>\n","protected":false},"author":6,"featured_media":80769,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-79969","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"_links":{"self":[{"href":"https:\/\/stackfuel.com\/en\/wp-json\/wp\/v2\/posts\/79969","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stackfuel.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stackfuel.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stackfuel.com\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/stackfuel.com\/en\/wp-json\/wp\/v2\/comments?post=79969"}],"version-history":[{"count":23,"href":"https:\/\/stackfuel.com\/en\/wp-json\/wp\/v2\/posts\/79969\/revisions"}],"predecessor-version":[{"id":109226,"href":"https:\/\/stackfuel.com\/en\/wp-json\/wp\/v2\/posts\/79969\/revisions\/109226"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/stackfuel.com\/en\/wp-json\/wp\/v2\/media\/80769"}],"wp:attachment":[{"href":"https:\/\/stackfuel.com\/en\/wp-json\/wp\/v2\/media?parent=79969"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stackfuel.com\/en\/wp-json\/wp\/v2\/categories?post=79969"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stackfuel.com\/en\/wp-json\/wp\/v2\/tags?post=79969"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}