About this Course
This is the fourth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL as well as how to verify and report your data cleaning results. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.
Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.
By the end of this course, you will be able to do the following:
– Learn how to check for data integrity.
– Discover data cleaning techniques using spreadsheets.
– Develop basic SQL queries for use on databases.
– Apply basic SQL functions for cleaning and transforming data.
– Gain an understanding of how to verify the results of cleaning data.
– Explore the elements and importance of data cleaning reports.
What you will learn
Define data integrity with reference to types of integrity and risk to data integrity
Apply basic SQL functions for use in cleaning string variables in a database
Develop basic SQL queries for use on databases
Describe the process involved in verifying the results of cleaning data
Skills you will gain
Spreadsheet
Data Cleansing
Sample Size Determination
SQL
Data Integrity
Instructor
Google Career Certificates
Offered by
Google Career Certificates are part of Grow with Google, an initiative that draws on Google’s 20-year history of building products, platforms, and services that help people and businesses grow. Through programs like these, we aim to help everyone– those who make up the workforce of today and the students who will drive the workforce of tomorrow – access the best of Google’s training and tools to grow their skills, careers, and businesses.
Syllabus – What you will learn from this course
Week 1
The importance of integrity
As you start thinking about how to prepare your data for exploration, this part of the course will highlight why data integrity is so essential to successful decision-making. You’ll learn about how data is generated and the techniques analysts use to decide what data to collect for analysis. And you’ll discover structured and unstructured data, data types, and data formats.
Week 2
Sparkling-clean data
Every data analyst wants clean data to work with when performing an analysis. In this part of the course, you’ll learn the difference between clean and dirty data. You’ll also explore data cleaning techniques using spreadsheets and other tools.
Week 3
Cleaning data with SQL
Knowing a variety of ways to clean data can make an analyst’s job much easier. In this part of the course, you’ll check out how to clean your data using SQL. You’ll explore queries and functions that you can use in SQL to clean and transform your data to get it ready for analysis.
Week 4
Verify and report on your cleaning results
Cleaning your data is an essential step in the data analysis process. Verifying and reporting your cleaning is a way to show that your data is ready for the next step. In this part of the course, you’ll find out the processes involved with verifying and reporting data cleaning as well as their benefits.
Week 5
Optional: Adding data to your resume
Creating an effective resume will help you on your data analytics career path. In this part of the course, you’ll learn all about the job application process with a focus on crafting a resume that highlights your strengths and applicable experience. Even if you aren’t applying to jobs yet, it’s still a good time to improve your resume. It’s like spring training for a first season in a major league–you don’t want to miss it!
Week 6
Course challenge
Prepare for the course challenge by reviewing terms and definitions in the glossary. Then, demonstrate your knowledge of the importance of sample size, data integrity, and the connection of data to business objectives during the quiz. You will also have an opportunity to apply your skill with data cleaning techniques in both spreadsheets and SQL. Finally, document, report on, and verify your data-cleaning process and results.
About the Google Data Analytics Professional Certificate
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 380,000 U.S. job openings in data analytics with a $74,000 median entry-level salary.
Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. Over 8 courses, gain in-demand skills that prepare you for an entry-level job. 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. You’ll prepare yourself for jobs that include junior or associate data analyst, database administrator, and more. Upon completion of the certificate, you can directly apply for jobs with Google and over 150 U.S. employers, including Walmart, Best Buy, Astreya. 75% of Google Career Certificate Graduates in the United States report an improvement in their career trajectory (e.g. new job or career, promotion or raise) within 6 months of certificate completion US Burning Glass Labor Insight Report salary data (median with 0-5 years experience) and job opening data. Data for job roles relevant to featured programs (4/01/2021 – 3/31/22). Based on program graduate survey responses, United States 2021
