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.
Ce cours fait partie de la Nombre de Analyse de données Google Certificat Professionnel
Offert par
À propos de ce cours
No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.
Ce que vous allez apprendre
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
Compétences que vous acquerrez
- Spreadsheet
- Data Cleansing
- Sample Size Determination
- SQL
- Data Integrity
No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.
Offert par

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.
Programme de cours : ce que vous apprendrez dans ce cours
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.
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.
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.
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.
Avis
- 5 stars84,86 %
- 4 stars12,28 %
- 3 stars2,01 %
- 2 stars0,44 %
- 1 star0,38 %
Meilleurs avis pour PROCESS DATA FROM DIRTY TO CLEAN
It had been a wonderful course. I had learnt a lot that will help me cleaning data to be analysed to inform planning and decision making to improve students' learning. Thank you so much!
This course covered a good amount of technical skills involved with data analytics. I appreciate the focus on resumes and to start thinking about job searching, and what that may entail.
Some times very repetitive , and some examples are not so clear , it would be better to have just one big example , so as we progress we start to understand the full picture of the data.
Sally was a wonderful instructor. Her enthusiasm for data analysis was apparent and helped to keep me motivated in continuing on in my journey. Her videos were very clear and easy to understand.
À propos du Nombre de Analyse de données Google Certificat Professionnel
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.¹

Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
À quoi ai-je droit si je m'abonne à ce Certificat ?
What is data analytics?
Why start a career in data analytics?
Why enroll in the Google Data Analytics Certificate?
What background is required?
Do you need to be strong at math to succeed in this certificate?
What tools and platforms are taught in the curriculum?
Which “spreadsheet” platform is being taught?
Do you need to take each course in course order?
D'autres questions ? Visitez le Centre d'Aide pour les Étudiants.