Google Data Analytics Professional Certificate
Secure a future in data analytics with a certification designed by Google and taught by Nexford University. Get job-ready in less than 6 months for top employers including Google, Deloitte, Target, Verizon, and more.
Pre-requisites: Beginner level. No previous experience required.
Start date: Begin November 1 for just .
Google Data Analytics Certification Overview
Duration
Complete a Google data analyst certificate in as little as 6 months.
Effort
10 hours per week which fits into your schedule so you can prepare for your future at your own pace.
Format
100% online with engaging study groups and mentorship sessions so you stay inspired and on track for success.
Cost
Pay tuition monthly at a cost of , or prepay for the entire course and secure a 15% discount.
Data analytics is a booming industry with skills in high demand
According to the World Economic Forum, there will be a 58% increase in new job opportunities in data analytics and 80% of companies are expected to adopt big data analytics in the next five years.
Why choose Nexford for your Professional Certificate
Expert-Designed Curriculum
The Google data analytics professional certification is designed by seasoned experts at Google and delivered with the academic rigor and attention to practical application that Nexford is renowned for.
Unparalleled Mentorship
At Nexford, you're never alone in your learning journey. You'll receive continuous guidance, insights, and support from our experienced mentors who make sure you grasp even the most complex data science concepts with clarity.
Success-Oriented Approach
Our dedicated success advisors are there every step of the way, offering guidance, resources, and strategies to ensure you reach your career and learning objectives efficiently.
Local Currency
We understand the varied economic landscapes our students come from. That's why Nexford allows payment in your local currency, easing the financial journey for our diverse global learners.
Location-Free Career
Our Google data analytics certificate prepares you to thrive in data analysis roles, whether local or remote, ensuring you're competitive in job markets irrespective of your geographical location.
You will learn
Foundational Practices
Gain an in-depth understanding of the day-to-day tasks and responsibilities carried out by junior or associate data analysts in the industry.
Key Analytical Skills & Tools
Master essential analytical skills like data cleaning, analysis, and visualization, as well as key industry tools including spreadsheets, SQL, R programming, and Tableau.
Data Cleaning & Organization
Learn the art of sanitizing and structuring data for analytical purposes, executing analyses and calculations through spreadsheets, SQL, and R programming.
Data Visualization & Presentation
Become proficient in visually representing data findings through dashboards and presentations, leveraging popular visualization platforms to make your data speak.
Google Data Analytics Professional Certificate: Courses
In this course, you will learn the practices and processes used by junior or associate data analysts. Gain key analytical skills and tools for your professional toolbox, as well as an understanding of the role of analytics in the data ecosystem.
Learn how to ask effective questions to guide analysis and data-driven decisions-making. This course use real-world scenarios to explore the key concepts of structured thinking and how they can help analysts better understand problems and develop solutions.
Empower yourself with the skills to harness the power of data using tools like spreadsheets and SQL. Discover how to effectively extract and utilize the right data for your goals while taking measures to safeguard and organize your valuable information. You will also gain the knowledge to identify and prevent various forms of data bias, ensuring the credibility of your insights. Embrace best practices for data organization and security, and unlock the potential of your data-driven decisions.
Level up your data analytics skills with this course. You'll dive deeper into the concepts and tools used by data analysts, and learn how to make sure your data is clean using spreadsheets and SQL. Plus, you'll discover the ins and outs of verifying and reporting your data cleaning results like a pro.
Explore the “analyze” phase of the data analysis process. In this course, you will use the skills and tools learned in prior courses to make sense of the data you’ve collected. You’ll learn how to organize and format your data using spreadsheets and SQL to help you look at and think about your data in different ways. You’ll also find out how to perform complex calculations on your data to complete business objectives and how to use formulas, functions, and SQL queries as you conduct your analysis.
Discover the power of data visualizations. This course will guide you through the process of creating visual dashboards that will make your data come to life. You'll also dive into Tableau, a data visualization platform that will help you craft impactful visualizations for your presentations. Get ready to transform your data analysis skills and captivate your audience with stunning visuals.
In this course, you will learn about the R programming language and how to use RStudio to work with R. The course covers unique R software tools, including R packages, and teaches you how to clean, organize, analyze, visualize, and report data using R in more powerful ways.
In this course, you will complete a case study to prepare for the data analytics job hunt. Employers use case studies to evaluate analytical skills. For your case study, you’ll analyze and visualize data from an analytics-based scenario. You’ll also learn job hunt skills through videos, interview questions, portfolio building materials, and more.
Gain skills to strategically search for a job that aligns with your career goals. This proctored course introduces the knowledge and techniques to prepare, plan, and execute a modern job search in a global market. Learn how to develop a personal brand; prepare an effective resume or CV, cover letter, and LinkedIn profile; build a strong professional network; and successfully interview for roles that can help you launch your future career.
In-Demand Career Options in Data Analytics
Data Analyst
Business Analyst
Business Intelligence Analyst
Google Data Analytics Professional Certificate FAQ
What background knowledge or experience is necessary for this program?
None! This is a beginner-level program that starts from ground zero. Whether you’re completely new to the job field or have had some exposure, this program is right for you.
What programming languages will be taught in this course?
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. Python is another language commonly used in data science and analysis, but it is not included in the curriculum. Learners are encouraged to explore Python after completion, or even take one of our Nexford Professional Certificates that covers Python, if they'd like to continue their learning journey.
What can I do upon completing my professional certificate program?
Completion of this program will earn learners a Google Data Analytics Professional Certificate, which qualifies you for an entry-level role in job fields like data analytics, digital marketing & e-commerce, IT support, project management, and UX design.
Can I get college credit for completing this program?
Yes. This certificate program has secured a credit recommendation from the American Council on Education's (ACE) Credit Recommendation, which is the industry standard for translating workplace learning to college credit. Learners can earn a recommendation of 12 undergraduate college credits for completing the program. Acceptance of these credits toward a degree is dependent on the university, but Nexford will accept these credits toward a BBA or any undergraduate-level degrees added in the future. This aims to help open up additional pathways to learners who are interested in higher education and prepare them for entry-level jobs.