Complete Google Data Analytics Certification Study Guide | Course 1 - Week 1 | Coursera | quiztudy (2023)

Table of Contents
INDEX GOOGLE DATA ANALYTICS CERTIFICATION WEEK 1 Introduction learning goals OPTIONAL: FAMILIAR WITH DATA ANALYSIS? – ANSWER OUR DIAGNOSTIC QUIZ 1. A clothing retailer collects and stores data about its sales revenue. Which of the following would be part of your data ecosystem? Select all that apply. 2. What is the process of driving business strategy from facts? 3. Fill in the blanks: Curiosity, Understanding of Context, Technical Mindset, Data Design, and Data Strategy are _____. They enable data analysts to solve problems based on facts. 4. A skate shop owner realizes that every time a certain employee is on duty, there are higher sales at the end of the day. After doing some research, the owner finds that the business is making 15% more every month since the employee was hired. What quality of analytical thinking did the manager use in this scenario? 5. Gap analysis is a process that can help accomplish which of the following tasks? Select all that apply. 6. An advertising company used insights from its analytics team to develop a revenue-boosting strategy. Now they are implementing a plan to increase annual sales. What phase of the data analysis process is the company in? 7. A data analyst adds descriptive headings to columns of data in a worksheet. How does this improve the table? 8. This is a selection from a table listing the 10 most populous cities in North Carolina. What spreadsheet tool would you use to sort the county names in column D alphabetically? 9. You query a supplier database of a manufacturing company. The column name for vendor identification numbers is vendor_id. What is the correct clause to retrieve only supplier data with identification number 85317? 10. Imagine you share your data with a stakeholder of the company. Why can you display data with a data view instead of a table? Select all that apply. Test your knowledge of the data ecosystem 1. Which of the following statements best defines the data? 2. Fill in the blank: In data analytics, data ecosystem refers to the various elements that interact with each other to produce, manage, store, _____, analyze, and share data. 3. Which of the following terms refers to collecting, transforming, and organizing data in order to draw inferences, make predictions, and make informed decisions? 4. An airline collects, monitors and analyzes the online behavior of its customers. It then uses the insights gained to choose which new products and services to offer. Which business process does this describe? Test your knowledge of how to properly use the discussion forum 1. Which of the following is an appropriate use of the discussion forum? 2. What kind of writing style should you use to create clear and engaging forum discussions? Select all that apply. 3. What kind of behavior is acceptable when posting in the discussion forum? GOOGLE DATA ANALYSIS COURSE STUDY GUIDE AND ANSWERS *Weekly Challenge 1* 1. Collecting, transforming, and organizing data to draw conclusions, make predictions, and make informed decisions describes what? 2. Fill in the blank: Data ecosystems are made up of elements that _____. This enables them to produce, manage, store, organize, analyze and share data. 3. Fill in the blank: Data _____ involves creating new ways to model and understand the unknown using raw data. 4. What tactics can a data analyst use to effectively match instinct with facts? Select all that apply. 5. A company defines a problem that it wants to solve. Then a data analyst collects relevant data, analyzes it and draws conclusions from it. The analyst shares his analysis with subject matter experts who validate the results. Finally, a plan is put into action. What does this scenario describe? 6. To get the most out of data-driven decision making, it's important to include insights from people who are intimately familiar with the business problem. Identify what these people are called. 7. If you share the results of your analysis with colleagues who are very familiar with the business problem, what approach is supported? 8. You are reading an interesting article about data analysis in a journal and you want to share some ideas from the article in the discussion forum. In your contribution, credit the author and link to the original article. That would be an inappropriate use of the forum. Certification COURSERA GOOGLE DATA ANALYTICS – WEEK 1 COMPLETION FAQs Videos

INDEX

  • INTRODUCTION
  • OPTIONAL: FAMILIAR WITH DATA ANALYSIS? – ANSWER OUR DIAGNOSTIC QUIZ
  • TEST YOUR KNOWLEDGE OF THE DATA ECOSYSTEM
  • TEST YOUR KNOWLEDGE ABOUT USING THE DISCUSSION FORUM PROPERLY
  • WEEKLY CHALLENGE 1
  • CONCLUSION

GOOGLE DATA ANALYTICS CERTIFICATION WEEK 1 Introduction

DarinGoogle Data Analytics Certificationlearn how data analysts use data analysis and the tools of their trade to make business decisions. You will also learn more about this course and general program expectations.

Data analysis is an essential tool to make informed decisions in our personal and business lives. By understanding how data is collected, analyzed, and interpreted, we can make better decisions, from what products to buy to what stocks to invest in.

The purpose of this course is to give you a solid foundation in data analysis so you can make more informed decisions in your own life and business.

For an in-depth Google Data Analytics certification exam reviewreliablesoft.netReview.

learning goals

  • Define the main concepts of data analysis including data, data analysis and data ecosystem
  • Discuss the use of data in day-to-day decisions
  • Identify the main characteristics of the learning environment and their use
  • Describe principles and practices that will help increase the chances of success in this certificate
  • Explain the use of data in organizational decisions
  • Describe key concepts to be discussed in the program including learning outcomes

So let's start!

OPTIONAL: FAMILIAR WITH DATA ANALYSIS? – ANSWER OUR DIAGNOSTIC QUIZ

1. A clothing retailer collects and stores data about its sales revenue. Which of the following would be part of your data ecosystem? Select all that apply.

  • Competitor Databases(Right)
  • The cloud that stores your database(Right)
  • your inventory records(Right)
  • The sales database

2. What is the process of driving business strategy from facts?

  • Data-based decision making(Right)
  • Analytical planning
  • Strategic Improvement
  • Identification of data and decisions

3. Fill in the blanks: Curiosity, Understanding of Context, Technical Mindset, Data Design, and Data Strategy are _____. They enable data analysts to solve problems based on facts.

  • analytical skills(Right)
  • the professional qualifications
  • personal perceptions
  • Thinking process
(Video) Google Data Analytics Professional Certificate - Full course Part 1 of 7

4. A skate shop owner realizes that every time a certain employee is on duty, there are higher sales at the end of the day. After doing some research, the owner finds that the business is making 15% more every month since the employee was hired. What quality of analytical thinking did the manager use in this scenario?

  • visualization
  • correlation(Right)
  • problem orientation
  • General ThoughtIncorrectYou did not select an answer.

5. Gap analysis is a process that can help accomplish which of the following tasks? Select all that apply.

  • Reduce a company's carbon footprint based on its current emissions(Right)
  • Increase an automaker's efficiency based on their current assembly process(Right)
  • Spread awareness of income inequality based on local wages
  • Improve the accessibility of an educational app based on its current functionality(Right)

6. An advertising company used insights from its analytics team to develop a revenue-boosting strategy. Now they are implementing a plan to increase annual sales. What phase of the data analysis process is the company in?

  • Analyze
  • Act(Right)
  • procedure
  • ShareWrongYou did not select an answer.

7. A data analyst adds descriptive headings to columns of data in a worksheet. How does this improve the table?

  • This adds context(Right)
  • Clarifies the business strategy
  • Improves aesthetics
  • Eliminates unnecessary details

8. This is a selection from a table listing the 10 most populous cities in North Carolina. What spreadsheet tool would you use to sort the county names in column D alphabetically?

ONEBCD
1classificationNamepopulationdistrict
27wear170.282wake up chatham
31Charlotte885.708Mecklenburg
410unity96.341Kabarro
54Durham278.993Durham (consent), Wake, Orange
66Fayetteville211.657Cumberland
73Greensboro296.710Gilford
89Climax112.791Guilford, Randolph, Davidson, Forsyth
92Raleigh474.069Wake up (seat), Durham
108Wilmington123.784Neu Hannover
115Winston Salem247.945Forsyth
  • arrange a break
  • Sort titles alphabetically
  • namespace
  • evaluation area(Right)

9. You query a supplier database of a manufacturing company. The column name for vendor identification numbers is vendor_id. What is the correct clause to retrieve only supplier data with identification number 85317?

  • FROM provider_id 85317
  • SELECT fornecedor_id 85317
  • WO Vendor ID = 85317(Right)
  • COLUMN Vendor ID = 85317

Correct: The correct clause is WHERE supplier_id = 85317. This clause tells the database to only return information about the supplier with ID 85317.

10. Imagine you share your data with a stakeholder of the company. Why can you display data with a data view instead of a table? Select all that apply.

  • This helps them spot trends faster.(Right)
  • Describe each data point in detail
  • It's easy to understand(Right)
  • it is aesthetically pleasing(Right)
(Video) How I Completed the Google Data Analytics Certificate Course in 48 Hours

Test your knowledge of the data ecosystem

1. Which of the following statements best defines the data?

  • Data is the use of calculations and statistics.
  • Data is a multitude of questions.
  • Data is a business process.
  • Data is a collection of facts.(Right)

2. Fill in the blank: In data analytics, data ecosystem refers to the various elements that interact with each other to produce, manage, store, _____, analyze, and share data.

  • locate
  • sessions
  • record, tape
  • to organize(Right)

3. Which of the following terms refers to collecting, transforming, and organizing data in order to draw inferences, make predictions, and make informed decisions?

  • data analysis(Right)
  • Data Lifecycle
  • data items
  • data perception

4. An airline collects, monitors and analyzes the online behavior of its customers. It then uses the insights gained to choose which new products and services to offer. Which business process does this describe?

  • performance measurement
  • Cooperation with stakeholders
  • Analytical thinking
  • Data-based decision making(Right)

Test your knowledge of how to properly use the discussion forum

1. Which of the following is an appropriate use of the discussion forum?

  • Ask a question about a lesson in this program(Right)
  • Share a photo of your new pet
  • Ask other students to submit their CV to the employer
  • Posting answers to quiz questions

2. What kind of writing style should you use to create clear and engaging forum discussions? Select all that apply.

  • Write in full sentences(Right)
  • Write everything in lower case
  • Write in SMS language like BTW for "on the side"
  • Include correct punctuation such as commas and periods(Right)

3. What kind of behavior is acceptable when posting in the discussion forum?

  • Use attributions to emphasize your point of view
  • Sharing of ads and product promotions
  • Communicate your opinion clearly and argue against someone else's perspective
  • Be sensitive, kind and open-minded(Right)
(Video) Google Data Analyst Certificate - Module 1 - Week 1 Vlog

GOOGLE DATA ANALYSIS COURSE STUDY GUIDE AND ANSWERS

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*Weekly Challenge 1*

1. Collecting, transforming, and organizing data to draw conclusions, make predictions, and make informed decisions describes what?

  • data analysis
  • Data Lifecycle
  • data analysis(Right)
  • data science

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2. Fill in the blank: Data ecosystems are made up of elements that _____. This enables them to produce, manage, store, organize, analyze and share data.

  • gain insights
  • shortcut
  • to interact(Right)
  • problem solved

3. Fill in the blank: Data _____ involves creating new ways to model and understand the unknown using raw data.

  • mechanical engineering
  • Project
  • Science(Right)
  • Analyse

4. What tactics can a data analyst use to effectively match instinct with facts? Select all that apply.

  • Use your intuition to choose what data to collect and how to analyze it.
  • Use your knowledge of how your business works to better understand a business need.(Right)
  • Apply your unique past experiences to current work, keeping in mind the story the data tells.(Right)
  • Ask how one defines success for a project, but rely more on your own personal perspective.
(Video) Google Data Analytics Professional CERTIFICATE GUIDE - Foundations (Week 1 & 2)

5. A company defines a problem that it wants to solve. Then a data analyst collects relevant data, analyzes it and draws conclusions from it. The analyst shares his analysis with subject matter experts who validate the results. Finally, a plan is put into action. What does this scenario describe?

  • Customer service
  • data science
  • Data-based decision making(Right)
  • Identification of trends

6. To get the most out of data-driven decision making, it's important to include insights from people who are intimately familiar with the business problem. Identify what these people are called.

  • Customers
  • interested parts
  • competitors
  • subject matter experts(Right)

7. If you share the results of your analysis with colleagues who are very familiar with the business problem, what approach is supported?

  • data analysis
  • data science
  • data management
  • Data-based decision making(Right)

Right: Sharing the results of your analysis with people familiar with the business problem is an example of data-driven decision making. Data-driven decision-making uses facts to guide business strategy.

8. You are reading an interesting article about data analysis in a journal and you want to share some ideas from the article in the discussion forum. In your contribution, credit the author and link to the original article. That would be an inappropriate use of the forum.

  • Real
  • NOT CORRECT(Right)

Certification COURSERA GOOGLE DATA ANALYTICS – WEEK 1 COMPLETION

In order to make informed decisions, it is important to have a clear understanding of what data is and how it can be analyzed. Data analytics has become increasingly important in recent years as we rely more and more on technology to make our day-to-day decisions. The key concepts of data analysis are discussed in this program, including data, data analysis, and the data ecosystem. In addition, the use of data in decision-making in organizations is examined. This program will provide you with the knowledge and skills you need to increase your chances of success in this fast-growing field. Join the learning experience today atCoursera– Google Data Analytics certification!

Back at home

Next - Week 2

(Video) Google Data Analytics Certification l Review

FAQs

Can you finish Google data analytics course in a week? ›

The total time needed to complete the Google Data Analytics Certification is 181 hours. You can split this into 8 months of studying around 20 hours per month. To get the Google Data Analytics Certificate, you need to complete eight courses including all graded assignments and exams.

Can I complete Google data analytics course in 1 month? ›

You'll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months.

How fast can I complete Google Analytics certification? ›

How long will the course take to complete? If you go through all the course content sequentially, we expect the course to take 4-6 hours to complete, depending on your level of familiarity with the course content.

Can I learn data analytics in a week? ›

To learn all of the above at a beginner level—as well as a battery of other skills every Data Analyst should know—typically takes at least 12 to 14 weeks.

Can you finish Google it certificate in 7 days? ›

You'll be able to evaluate and suggest ways to minimize potential risks. You'll also be able to help others better understand security concepts and protect themselves. The course is designed to take six weeks to complete, with three to seven hours spent learning each week for 29 hours of total learning time.

Can you finish Google certificate in a week? ›

Overview of the Google Career Certificate Courses. The Google Career Certificate courses generally take three to six months to complete. Users set their own pace, so the time it takes to finish varies.

Did anyone get a job with Google certificate? ›

I got a job seven months after starting the first certification, which means, 4 months after finishing the Google certificate and 1 month after finishing the next.

How difficult is Google Analytics certification? ›

The Google Analytics certification exam is 90 minutes and includes a total of 70 questions that vary from multiple-choice, true/false, to matching (no fill in the blanks here!) You need an 80% to pass this exam, but it can be taken multiple times - you just need to wait 24 hours between attempts.

Is coursera Google certificate valid? ›

Coursera certificates are different and are respected by employers and universities. This is because Coursera offers the highest quality when it comes to courses. Coursera courses are led by the top universities and companies that you could think of. This makes Coursera certificates and degrees legitimate and valuable.

Can I learn Google Analytics in a day? ›

How to do it. To become certified you'll need to complete the Beginner and Advanced sections of the online learning platform. It took me no more than 2–3 hours to complete each course. Every section ends with practice questions.

Is Google Analytics certificate enough to get a job? ›

This certification can show a potential employer that you have unique and specialised skills that may be of value to them. By including your Google Analytics certification on your resume, you may increase your chances of getting a job offer for your desired role.

Can I learn data analytics in 2 months? ›

Honestly saying in 2 months you can only understand WHAT is data science and HOW it is applied in industries to generate data-driven insights. To roughly understand Data Science you need at least 6 to 8 months and to become a Data Scientist you need 1 more month to build your resume and hunt for the job.

Is data analytics a stressful job? ›

Several data professionals have defined data analytics as a stressful career. So, if you are someone planning on taking up data analytics and science as a career, it is high time that you rethink and make an informed decision.

Is data analytics math heavy? ›

While data analysts need to be good with numbers, and a foundational knowledge of Math and Statistics can be helpful, much of data analysis is just following a set of logical steps. As such, people can succeed in this domain without much mathematical knowledge.

Is it too late to learn data analytics? ›

So despite industry ageism, a recent study by Zippia showed that the average age of data analysts in the U.S. is 43 years old. This takes us back to our titular question: are you too old to start a new career in data analytics? The short answer, in our opinion, is no.

Can you fail Google certification? ›

What happens if you don't pass a certification exam? If you don't pass an exam, you can take it again after 14 days. If you don't pass the second time, you must wait 60 days before you can take it a third time. If you don't pass the third time, you must wait 365 days before taking it again.

Do employers like Coursera certificates? ›

Most employers are familiar with Coursera and the quality of education it provides. In fact, many employers see Coursera certificates as a valuable addition to a job seeker's skillset. Coursera certificates show that you're motivated to learn and that you're willing to invest in your own development.

Can I get certificate from 7 day trial in Coursera? ›

If you complete a course during the free trial period, Coursera reserves the right to require you to pay for a one-month subscription in order to receive a course and/or specialization certificate.

Can I complete Coursera course in one week? ›

All Coursera courses have a suggested time commitment usually of between 4 and 10 weeks, committing a few hours of study a week. However, in most cases, you are not obliged to follow the recommended schedule and can study the courses at your own pace.

Do employers care about Google certificates? ›

Employers are super keen on these certificates because they know they're getting high-quality talent,” Gevelber says. “They also know they're getting more nontraditional talent, and that's really important to a lot of people who are hiring today.”

Do Google certifications expire? ›

All Professional Google Cloud certifications are valid for two years from the date an individual certifies. The Cloud Digital Leader and the Associate Cloud Engineer certifications are valid for three years from the date an individual certifies.

What Google certificate pays the most? ›

These are the top free and paid Google certification courses worth pursuing.
  • Google Data Analytics Certificate (Paid)
  • Google Project Management Certificate (Paid)
  • Google UX Design Certificate (Paid)
  • Google IT Automation with Python Professional Certificate (Paid)
  • Google Digital Marketing and eCommerce Certificate (Paid)
26 Oct 2022

Should I add a Google certificate in resume? ›

Yep! As long as the certifications are relevant for the job, you can include them on your resume. Online certifications can especially help you if you're a recent graduate with not a lot of work experience.

Which Google certificate is most valuable? ›

The Google Data Analytics Professional Certificate is one of the most valuable Google career certifications you can get. Certified data analysts get an entry-level salary of $67,900 per year and can grow to more than $110K per year once they get 10+ years of working experience.

What happens if you fail Google Analytics certification? ›

If you do fail the exam, then you'll have to wait one day before you can retake the exam. After waiting, you'll be able to head back and take the exam again. And there is no penalty for failing the exam (other than having to wait for your next attempt).

Can I become data analyst in 3 months? ›

You can make use of the playlists to lean skills needed for a data analyst in 3 months. Remember this important point doing practical work is important than theory. Spend 20% time on theory and 80% time on implementing it.

Can I get a job with Coursera Google data analytics certificate? ›

After you've graduated from the program, you'll have access to career resources and be connected directly with employers hiring for open entry-level roles in data analytics.

Can you put Coursera on resume? ›

Add Coursera professional certificates to your resume

Offered by such world-class partners as Google, IBM, and Meta, Coursera's flexible, online professional certificates can help you get job-ready for such in-demand careers as project manager or data analyst.

Can Coursera certificates get you a job? ›

Coursera does not provide or guarantee job placement. So, take specializations and certificate programs that help you hone the skills you intend to showcase to employees. No, you can't get a job by simply taking a single Coursera course but you may be able to get a job by completing a professional certificate program.

Is Coursera better than udemy? ›

Coursera's instructors are top professionals from globally respected institutions so the quality of teaching is more consistent than on Udemy (which allows anyone to offer courses on its platform). It also offers courses to degree level and all its certificates are accredited and shareable.

Is Google Analytics 4 paid? ›

The GA4 standard refers to the standard/free version of the GA4 property. Whereas, GA4 360 refers to the premium/paid version of the GA4 property. In other words, GA4 Standard is free to use.

Is Google Analytics exam open book? ›

The Google Analytics test is an open book exam.

Can I learn Google Analytics on my own? ›

Google's own Analytics Academy offers free, online courses on Analytics and other data analysis tools. We recommend two in particular: Google Analytics for Beginners shows new users how to create an account, implement tracking code, and set up data filters.

Is Google Analytics IQ worth it? ›

Obtaining the Google Analytics Individual Qualification is definitely worth the effort. The biggest benefit of getting certified in Google Analytics is the skills you will develop during the studying and exam process.

Is coding required for Google Analytics? ›

Indeed, you do not need coding prowess to utilize Google Analytics. So, this guide is directed principally to individuals who do not consider themselves or their principal professional responsibilities to be tech. It will touch only on the essential elements to get started with Google Analytics.

Can I be a data analyst with just a certificate? ›

If you're looking for a career in data analytics: yes! Gaining a certification in data analytics will equip you with all of the necessary skills and know-how required to land a job as a data analyst.

How many hours does a data analyst work? ›

Generally speaking, Data Analysts can expect to work between 40 and 60 hours a week, typically on a Monday through Friday schedule, which would correspond with the hours the business or company is open. This often means a 9-5 or 8-6 day.

How do I break into data analytics with no experience? ›

If you have no data analytics experience, you need a portfolio. Employers want to see proof that you can apply what you know to real projects. You can build a portfolio by using the projects from your certificate program, freelancing, or volunteering your data skills to a small business or nonprofit.

How do beginners learn data analytics? ›

What you will learn in Data Analytics for Beginners 101
  1. Lesson 1 - Course Introduction. ...
  2. Lesson 2 - Data Analytics Overview. ...
  3. Lesson 3 - Dealing with Different Types of Data. ...
  4. Lesson 4 - Data Visualization for Decision making. ...
  5. Lesson 5 - Data Science, Data Analytics, and Machine Learning. ...
  6. Lesson 6 - Data Science Methodology.

Is data analyst the highest paid job? ›

Highest reported salary offered as Data Analyst is ₹50lakhs. The top 10% of employees earn more than ₹25lakhs per year. The top 1% earn more than a whopping ₹42lakhs per year.

Are data analysts well paid? ›

Data Analyst salary expectations

Data Analysts are highly skilled professionals and as a result are often well paid.

What is the highest paying analytics job? ›

Top 10 High Paying Data Analytics Jobs
  1. Data Engineer. Data engineers are responsible for identifying trends and anomalies in data sets. ...
  2. IT Systems Analyst. ...
  3. Marketing Analyst. ...
  4. Quantitative Analyst. ...
  5. Data Architect. ...
  6. Database Administrator. ...
  7. Data Analyst. ...
  8. Business Intelligence Analyst.
14 Oct 2021

Can I be a data analyst if I hate math? ›

One popular question that we always get asked is: “Dr. Lau, can I become a data scientist or data analyst if I am not good with math or statistics?” Well, Dr. Lau's reply is always yes you can.

Can a non technical person learn data analytics? ›

As someone from a non-technical background who most likely has no programming experience, being able to understand how to manipulate and analyze data in Excel is an easier route to start and will prove a very useful foundation in your journey as a data scientist.

Is Analytics a hard or soft skill? ›

While analytical skills are a type of soft skill, there are also hard skills that can help you be a better analytical thinker. Analytical skills examples include data analysis, research, creativity, and communication.

Can I become data scientist at 40? ›

You are not late to learn data science. It is not an easy task to learn data science and find your first job. It takes time, effort, and dedication. You may have to spend months to obtain the basic skills.

Can a 40 year old become a data scientist? ›

You can become a data scientist at any age if you're willing to put in the work.

Can I become a data analyst at 45? ›

It's never too late to become a data scientist

As long as you've got the right skills, you can become a data scientist at any age.

How long is data analyst course Google? ›

Google Data Analytics Certificate Overview

Format: 100% online lectures, case studies, hands-on labs and quizzes. Duration: 181 hours, or approximately 6 months with 5-10 hrs of weekly study. Skill level: Beginner.

Is Google Analytics course hard? ›

Learning Google Analytics is difficult. Although it's the most popular web analytics tool, many users lack the knowledge to get to the bottom of their data. The new version is even harder to master. Ironically, that makes it even more interesting to start your GA study journey today…

How many weeks is Google certificate data analytics? ›

You'll learn these job-ready skills in our certificate program through interactive content (discussion prompts, quizzes, and activities) in under six months, with under 10 hours of flexible study a week.* Along the way, you'll work through a curriculum designed with input from top employers and industry leaders, like ...

Is Google Analytics difficult to learn? ›

Google Analytics is not easy to learn because it deals with large amounts of complex data that is difficult to interpret and understand. However, if you devote enough time to learning it, you can undoubtedly conquer it.

How much is a Google data analyst paid? ›

Google Data Analyst salary in India ranges between ₹ 3.0 Lakhs to ₹ 63.0 Lakhs with an average annual salary of ₹ 19.7 Lakhs. Salary estimates are based on 145 Google salaries received from various employees of Google.

Does Google Analytics certification expire? ›

Once I become qualified, how long does my Analytics Individual Qualification last? Your qualification remains current for 12 months from the date that you pass the exam.

Is Google Analytics CERT worth it? ›

Obtaining the Google Analytics Individual Qualification is definitely worth the effort. The biggest benefit of getting certified in Google Analytics is the skills you will develop during the studying and exam process.

Is coursera Google data analytics Worth It? ›

The certificate not only strengthened my analytical and technical skill-sets but also helped me to build a good portfolio by providing knowledge and resources to excel in my career. In my opinion, this course can be taken by anyone trying to get into the field of analytics despite having no technical background.

How much can I make with a Google data analytics certificate? ›

Google Analytics Certification Jobs by Salary
Job TitleRangeAverage
Marketing SpecialistRange:$40k - $69kAverage:$51,305
Data AnalystRange:$45k - $87kAverage:$63,700
Marketing AssociateRange:$37k - $67kAverage:$49,782
Marketing AnalystRange:$43k - $80kAverage:$56,756
3 more rows
22 Nov 2022

Can I learn data analytics without coding? ›

But the question often arises, does data science require coding? Many great enterprise data scientists began their careers in data science without any prior coding knowledge or experience. With this article, you will understand how you can start or switch to a career in data science even without any coding knowledge.

Is Google Analytics require coding? ›

Indeed, you do not need coding prowess to utilize Google Analytics. So, this guide is directed principally to individuals who do not consider themselves or their principal professional responsibilities to be tech. It will touch only on the essential elements to get started with Google Analytics.

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