Question 1 fill in the blank: once data is clean, a data analyst moves on to _____ and verification.

Question 1 fill in the blank: once data is clean, a data analyst moves on to _____ and verification.

Google Data Analytics Professional Certificate

This is your path to a career in data analytics. In this program, you’ll learn in-demand skills that will have you job-ready in less than 6 months. No degree or experience required.

Question 1 fill in the blank: once data is clean, a data analyst moves on to _____ and verification.

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6 Months

Under 10 hours of study a week

Beginner Level

No prior experience required.

100% Self-Paced

Learn on your own time

Build job-ready skills by learning from the best

Get started in the high-growth field of data analytics with a professional certificate from Google. Learn how to process and analyze data, use key analysis tools, and create visualizations that can inform key business decisions.

Common job titles: Junior Data Analyst, Associate Data Analyst, Junior Data Scientist, Finance Analyst, Operations Analyst, Data Technician, Business Performance Analyst, Marketing Analyst, Healthcare Analyst

¹Burning Glass Labor Insight Report data (median with 0-5 years experience), United States, 4/1/21-3/31/22.
²Career improvement (e.g. new job/career, promotion, raise) within 6 mos. of completion based on cert. grad survey responses, U.S. 2021.

$74,000
median entry-level salary¹

75%
of Google certificate grads report career improvement²

380,000
in-demand job openings in data analytics¹

150+
Connect with over 150 U.S. employers post-completion

¹Burning Glass Labor Insight Report data (median with 0-5 years experience), United States, 4/1/21-3/31/22.
²Career improvement (e.g. new job/career, promotion, raise) within 6 mos. of completion based on cert. grad survey responses, U.S. 2021.

Skills you will gain

  • Spreadsheet

  • Data Cleansing

  • Data Analysis

  • Data Visualization (DataViz)

  • SQL

  • Questioning

  • Decision-Making

  • Problem Solving

  • Metadata

  • Data Collection

  • Data Ethics

  • Sample Size Determination

About this Professional Certificate

What you will learn

  • Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job

  • Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau)

  • Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming

  • Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms

What is a Professional Certificate?

Build the Skills to Get Job Ready

Whether you’re looking to start a new career, or change your current one, Professional Certificates on Coursera help you become job ready. Learn at your own pace, whenever and wherever it’s most convenient for you. Enroll today and explore a new career path with a 7 day free trial. You can pause your learning or end your subscription at any time.

Hands-On Projects

Apply your skills with hands-on projects and build a portfolio that showcases your job readiness to potential employers. You'll need to successfully finish the project(s) to earn your Certificate.

Earn a Career Credential

When you complete all of the courses in the program, you'll earn a Certificate to share with your professional network as well as unlock access to career support resources to help you kickstart your new career. Many Professional Certificates have hiring partners that recognize the Professional Certificate credential and others can help prepare you for a certification exam. You can find more information on individual Professional Certificate pages where it applies.

Question 1 fill in the blank: once data is clean, a data analyst moves on to _____ and verification.

There are 8 Courses in this Professional Certificate

Course 1

Course 2

Course 3

Course 4

Instructor

Offered by

Question 1 fill in the blank: once data is clean, a data analyst moves on to _____ and verification.

  • What is the refund policy?

  • Can I just enroll in a single course?

  • Is this course really 100% online? Do I need to attend any classes in person?

  • Why start a career in data analytics?

  • What kind of companies hire Data Analytics professionals?

  • How much does this certificate cost?

  • Is this program offered in other languages?

  • What background knowledge is necessary?

  • Do I need to take the courses in a specific order?

  • Will you be teaching R or Python?

  • Which jobs does this program prepare for?

  • What will I be able to do upon completing the professional certificate?

  • What resources will be available to help with the job search process?

  • Why did Google create this program?

  • Can I get college credit for taking the Google Data Analytics Certificate?

More questions? Visit the Learner Help Center.

What is the first step in data analyst take to clean data?

How to clean data.
Step 1: Remove duplicate or irrelevant observations. Remove unwanted observations from your dataset, including duplicate observations or irrelevant observations. ... .
Step 2: Fix structural errors. ... .
Step 3: Filter unwanted outliers. ... .
Step 4: Handle missing data. ... .
Step 5: Validate and QA..

What is the first step in verification process?

Verification Process Steps.
Step 1: Planning..
Step 2: Execution..
Step 3: Reporting..

What is involved in seeing the big picture when verifying data cleaning select all that apply?

Correct. To see the big picture when verifying data cleaning, consider the business problem, the goal, and the data.

What is the first step a data analyst should take to clean their data Remove all outliers merge duplicate records validate the data impute missing data I don't know this yet?

Remove Unwanted Observations The first step to data cleaning is removing unwanted observations from your dataset.