Google Data Analytics Certification Free Download

If you have a solid foundation in statistics, you may take an additional data analytics elective (for a total of three) in place of the introductory course option. If you have a limited statistical background, you should begin with an introductory course.

Prepare for a new career in the high-growth field of data analytics, no experience or degree required. Get professional training designed by Google and have the opportunity to connect with top employers. There are 483,000 open jobs in data analytics with a median entry-level salary of $92,000.

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Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more. Data analytics is the collection, transformation, and organization of these facts in order to draw conclusions, make predictions, and drive informed decision making. Companies need data analysts to sort through this data to help make decisions about their products, services or business strategies.

Data analysts make sense of data and numbers to help organizations make better business decisions. They prepare, process, analyze, and visualize data, discovering patterns and trends and answering key questions along the way. Their work empowers their wider team to make better business decisions.

This program teaches the open-source programming language, R. R is a great starting point for foundational data analysis, and offers helpful packages for beginners to apply to their projects. We do not cover Python in the curriculum but encourage learners to explore Python after completion if they'd like to continue their learning journey.

One of the most exciting parts of being a data analyst is the number of opportunities available. Nearly every company has the ability to collect data, and the amount of data is growing larger and larger. This has led to a higher demand for employees who can organize and analyze data to unearth insights. Organizations have trouble recruiting for positions that require data analysis skills, and demand for these jobs will continue to increase, with about 11.5 million data related jobs being created in the U.S. by 2026 (BLS).

Google Career Certificates are designed to prepare you for an entry-level role in job fields like data analytics, digital marketing & e-commerce, IT support, project management, and UX design. Upon completion of a Google Career Certificate, like this one, certificate graduates in the U.S. will have the option to share their information with top U.S. employers that are hiring entry-level professionals, like Target, Infosys, Verizon, Wells Fargo and of course, Google. Employer consortiums are currently available in the U.S., Canada, India, Singapore, Indonesia and are coming to more countries soon. The employers included will vary by country.

Data analytics is all about using data to make the right decisions. By collecting, cleaning, and analyzing data, you can find the most strategic and optimal course of action to achieve a specific goal.

As a result, many aspiring and established professionals in the field of data analytics wonder which certification or certificate to choose to achieve their career objectives. Should you get a certificate or a certification? Which ones are the best for your current skill set and work experience?

Whether you want to take your first steps into the field or parlay your skill set into a career as a data analyst or data scientist, this article has the data you need to make an informed decision on how to do it. Read on to learn how to find the right one for you.

These findings are supported by research conducted by the Bureau of Labor Statistics (BLS). In a 2022 survey, for example, the BLS found that professionals with either a certification or license faced lower levels of unemployment and earned more on average than those without either [2, 3].

These results suggest that obtaining either a certificate, certification, or another credential, such as a license, has the potential to have a positive impact on your career opportunities, salary, and employment.

There are many certificate and certification courses available to aspiring or established data analysts. Use the list of popular certification and certificate courses below to identify the option best suited to your goals.

The IBM Data Analyst Professional Certificate is a flexible online course that prepares those with no prior experience for entry-level data analyst positions. Through eight courses that take approximately 11 months to complete, learners develop a working knowledge of Python, SQL, Excel, and IBM Cognos analytics, among other programs.

Requirements: The Power BI Data Analyst Associate certification should only be pursued by those with a confident grasp of both data processes and repositories. To achieve this certification, you must achieve a passing score of 700 on Exam PL-300: Microsoft Power BI Data Analyst.

Requirements: To achieve this certification, you must pass a 90-question exam with a score of at least 675 on a 100-900 scale. CompTIA recommends that those taking this exam have 18 - 24 months of prior experience in an analyst or reporting position that has exposed them to databases, analytical tools, statistics, and the basics of data visualization.

A professional certificate or certification signals your expertise to both current and future employers. To hone your analytic skills, you might consider taking a flexible online course through Coursera.

Thinking about becoming a data analyst? If so, your timing is terrific, as data analysts are currently in high demand. Companies across all industries are actively looking for professionals who can gather, organize and use data to create better business outcomes. These may be data specialists, such as data analysts, or they may be professionals in fields like marketing, finance and business operations who use data frequently to guide good business decisions.

A role in data analytics can make for a secure career with plenty of room for growth. In 2020, the Jobs of Tomorrow report, published by the World Economic Forum (WEF), placed data and artificial intelligence (AI) in the seven top-growing professions, with a growth rate of 41%. That is the highest growth rate of all the professions mentioned in the report.

These skills may sound intimidating, but with the right training they are attainable. You can gain these skills by training for and earning one of the best data analytics certifications on the market.

CompTIA Data+, from IT certifications leader CompTIA, is the perfect data analytics certification to start with. It gives you an inside look at the analytics process. It also validates the data analytics skills organizational leaders are looking for in a data professional.

The good news about CompTIA certifications is that many of them, including Data+, have a complete line of training products to help you learn the concepts, practice the hands-on skills and prepare for your certification exam. Read more about how to prepare for a CompTIA exam.

The Cloudera Certified Associate (CCA) Data Analyst Certification enables data professionals to pull and generate reports in the Cloudera CDH environment using Hive and Impala. Individuals who pass the CCA Data Analyst Certification understand how to use query language statements in Impala and Hive to analyze data on the cluster. They also have expertise in providing structure to data.

The best candidates for this certification are often SQL developers, business intelligence (BI) specialists and data analysts who use Cloudera. Developers, database administrators and systems architects are also good candidates.

Microsoft Certified: Data Analyst Associate helps you optimize the value of an organization's data assets by using Microsoft Power BI. It provides the skills necessary for cleaning and transforming data, as well as designing and building scalable data models. Those who earn Microsoft Certified: Data Analyst Associate are proficient in data preparation, data modeling, data visualization and data analysis in the context of Power BI.

There are several niches within the data analytics field, such as big data analytics and business analytics. After getting a foundational data analysis certification, like CompTIA Data+, earn a certification that prepares you for the role you want. For example, if you want to go into big data analytics, seek a big data certification. SAS Certified Big Data Professional is a great choice.

SAS Certified Big Data Professional enables you to work with Hadoop. Hadoop is one of the best open-source tools for successfully storing large datasets. It enables candidates to run applications on clusters of commodity hardware and is helpful to those working with big data.

Certified Analytics Professional (CAP) is an advanced analytics certification designed for those who have extensive knowledge of and hands-on experience with data analysis. Data professionals who earn Certified Analytics Professional are proficient in business problem framing, analytics problem framing and methodology selection. Model building, deployment and lifecycle management are other skills certified individuals possess.

Interested in working with a certain platform, such as AWS or Azure? Opt for a vendor-specific certification, like Amazon AWS Certified Data Analytics or Microsoft Certified: Azure Data Scientist Associate.

Data analytics certifications are designed to prove you know data management and analytics concepts and are proficient in data analysis skills. On the other hand, data analytics certificates and certificate programs are designed to help you learn more about the field.

In general, certifications set you apart from other job applicants. They look impressive on your resume and LinkedIn profile. More importantly, they let employers know that you have the exact skill set they are seeking in a candidate. This may help you secure better pay than someone without a certification.