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Exploratory Data Analysis Using AI Platform
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. Learn the process of analyzing a data set stored in BigQuery using AI Platform to perform queries and present the data using various statistical plotting techniques.
Register for this course and see more details by visiting:
OpenCourser.com/course/mjiyqy/exploratory
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines the process of analyzing data sets stored in BigQuery, which is standard in the industry
Utilizes the Google Cloud console, a platform widely recognized for its comprehensiveness
Teaches how to perform queries and present data using statistical plotting techniques, these skills are highly relevant to data analysis
Part of the Google Cloud Training series, indicating a comprehensive approach to cloud computing
Teaches hands-on skills in data analysis, which are useful for personal growth and development
Self-paced format, providing flexibility for learners
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Save Exploratory Data Analysis Using AI Platform to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Exploratory Data Analysis Using AI Platform with these
activities:
Organize course materials
Show steps
Stay organized by compiling notes, assignments, and other course materials in one place.
Show steps
-
Create a dedicated folder or notebook for the course
-
Regularly add and organize materials as you progress through the course
Review SQL basics
Show steps
Refresh your knowledge of SQL before starting the course to ensure a solid foundation.
Browse courses on
SQL
Show steps
-
Review the basics of SQL syntax, including SELECT, WHERE, and JOIN
-
Practice writing basic SQL queries to retrieve data from tables
Follow tutorials on BigQuery
Show steps
Supplement your learning by following online tutorials that provide hands-on experience with BigQuery.
Browse courses on
BigQuery
Show steps
-
Find tutorials that cover the fundamentals of BigQuery, such as creating datasets and tables
-
Follow the tutorials step-by-step and practice using the BigQuery console
Three other activities
Expand to see all activities and additional details
Show all six activities
Participate in discussion forums
Show steps
Engage with classmates by asking questions, answering queries, and sharing insights in the course discussion forums.
Show steps
-
Identify relevant discussion forums for the course
-
Actively participate by posting thoughtful questions and responses
Practice writing SQL queries
Show steps
Sharpen your SQL skills by completing coding exercises and challenges.
Browse courses on
SQL
Show steps
-
Find online platforms or resources that offer SQL practice exercises
-
Attempt to solve the exercises and debug your queries
Create a data visualization dashboard
Show steps
Apply your skills by creating a data visualization dashboard that presents insights from a BigQuery dataset.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset and identify the key metrics you want to visualize
-
Use data visualization tools to create charts, graphs, and other visuals
-
Combine the visuals into a cohesive dashboard that tells a story
Organize course materials
Show steps
Stay organized by compiling notes, assignments, and other course materials in one place.
Show steps
Show steps
Show steps
- Create a dedicated folder or notebook for the course
- Regularly add and organize materials as you progress through the course
Review SQL basics
Show steps
Refresh your knowledge of SQL before starting the course to ensure a solid foundation.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review the basics of SQL syntax, including SELECT, WHERE, and JOIN
- Practice writing basic SQL queries to retrieve data from tables
Follow tutorials on BigQuery
Show steps
Supplement your learning by following online tutorials that provide hands-on experience with BigQuery.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Find tutorials that cover the fundamentals of BigQuery, such as creating datasets and tables
- Follow the tutorials step-by-step and practice using the BigQuery console
Three other activities
Expand to see all activities and additional details
Show all six activities
Participate in discussion forums
Show steps
Engage with classmates by asking questions, answering queries, and sharing insights in the course discussion forums.
Show steps
Show steps
Show steps
- Identify relevant discussion forums for the course
- Actively participate by posting thoughtful questions and responses
Practice writing SQL queries
Show steps
Sharpen your SQL skills by completing coding exercises and challenges.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find online platforms or resources that offer SQL practice exercises
- Attempt to solve the exercises and debug your queries
Create a data visualization dashboard
Show steps
Apply your skills by creating a data visualization dashboard that presents insights from a BigQuery dataset.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset and identify the key metrics you want to visualize
- Use data visualization tools to create charts, graphs, and other visuals
- Combine the visuals into a cohesive dashboard that tells a story
Career center
Learners who complete Exploratory Data Analysis Using AI Platform will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, interprets, and presents data. They work with stakeholders to understand their data needs and develop solutions to meet those needs. This course can help you develop the skills needed to be a successful Data Analyst by teaching you how to use AI Platform to perform queries and present data using various statistical plotting techniques.
Data Scientist
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course can help you develop the skills needed to be a successful Data Scientist by teaching you how to use AI Platform to perform queries and present data using various statistical plotting techniques.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. They work with data scientists and other stakeholders to understand the business problem and develop a machine learning solution. This course can help you develop the skills needed to be a successful Machine Learning Engineer by teaching you how to use AI Platform to perform queries and present data using various statistical plotting techniques.
Business Analyst
Business Analyst
A Business Analyst helps businesses improve their performance by analyzing data and identifying opportunities for improvement. They work with stakeholders to understand the business problem and develop a data-driven solution. This course can help you develop the skills needed to be a successful Business Analyst by teaching you how to use AI Platform to perform queries and present data using various statistical plotting techniques.
Statistician
Statistician
A Statistician collects, analyzes, interprets, and presents data. They work with stakeholders to understand their data needs and develop solutions to meet those needs. This course can help you develop the skills needed to be a successful Statistician by teaching you how to use AI Platform to perform queries and present data using various statistical plotting techniques.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines. They work with data scientists and other stakeholders to understand the data needs and develop a data pipeline solution. This course can help you develop the skills needed to be a successful Data Engineer by teaching you how to use AI Platform to perform queries and present data using various statistical plotting techniques.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They work with stakeholders to understand the business problem and develop a software solution. This course can help you develop the skills needed to be a successful Software Engineer by teaching you how to use AI Platform to perform queries and present data using various statistical plotting techniques.
Product Manager
Product Manager
A Product Manager develops and manages the product vision and roadmap. They work with stakeholders to understand the customer needs and develop a product solution. This course can help you develop the skills needed to be a successful Product Manager by teaching you how to use AI Platform to perform queries and present data using various statistical plotting techniques.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. They work with stakeholders to understand the project scope and develop a project plan. This course can help you develop the skills needed to be a successful Project Manager by teaching you how to use AI Platform to perform queries and present data using various statistical plotting techniques.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve business problems. They work with stakeholders to understand the business problem and develop a solution. This course can help you develop the skills needed to be a successful Operations Research Analyst by teaching you how to use AI Platform to perform queries and present data using various statistical plotting techniques.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. They work with clients to understand their investment goals and develop a financial plan. This course can help you develop the skills needed to be a successful Financial Analyst by teaching you how to use AI Platform to perform queries and present data using various statistical plotting techniques.
Market Research Analyst
Market Research Analyst
A Market Research Analyst conducts research to understand customer needs and preferences. They work with stakeholders to develop a marketing plan. This course can help you develop the skills needed to be a successful Market Research Analyst by teaching you how to use AI Platform to perform queries and present data using various statistical plotting techniques.
Technical Writer
Technical Writer
A Technical Writer creates technical documentation for software, hardware, and other products. They work with engineers and other stakeholders to understand the product and develop documentation that is clear and easy to understand. This course can help you develop the skills needed to be a successful Technical Writer by teaching you how to use AI Platform to perform queries and present data using various statistical plotting techniques.
Consultant
Consultant
A Consultant provides advice and guidance to businesses on a variety of topics. They work with clients to understand their business needs and develop a solution. This course can help you develop the skills needed to be a successful Consultant by teaching you how to use AI Platform to perform queries and present data using various statistical plotting techniques.
Teacher
Teacher
A Teacher develops and delivers lesson plans to students. They work with students to help them learn and grow. This course can help you develop the skills needed to be a successful Teacher by teaching you how to use AI Platform to perform queries and present data using various statistical plotting techniques.
For more career information including salaries, visit:
OpenCourser.com/course/mjiyqy/exploratory
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Exploratory Data Analysis Using AI Platform.
Provides a comprehensive introduction to machine learning. It covers topics such as supervised and unsupervised learning, model evaluation, and deployment. It valuable resource for learners who want to learn more about machine learning.
Provides a comprehensive introduction to data science from scratch. It covers topics such as data manipulation, cleaning, visualization, and machine learning. It valuable resource for learners who want to learn more about data science.
Provides a comprehensive introduction to deep learning using Python. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for learners who want to learn more about deep learning.
Provides a comprehensive introduction to statistical methods for data analysis. It covers topics such as descriptive statistics, inferential statistics, and regression analysis. It valuable resource for learners who want to learn more about statistics.
Save
Provides a comprehensive introduction to causal inference. It covers topics such as graphical models, causal effects, and counterfactuals. It valuable resource for learners who want to learn more about causal inference.
Provides a comprehensive introduction to exploratory data analysis using R. It covers topics such as data visualization, data transformation, and statistical modeling. It valuable resource for learners who want to learn more about data analysis.
Save
Provides a practical introduction to data mining using R. It covers topics such as data preprocessing, feature selection, and model evaluation. It valuable resource for learners who want to learn more about data mining.
Provides a comprehensive introduction to data analysis using Python, covering topics such as data manipulation, cleaning, and visualization. It valuable resource for learners who want to gain a strong foundation in data analysis.
Provides a practical introduction to machine learning with Python, using libraries such as scikit-learn, Keras, and TensorFlow. It covers topics such as supervised and unsupervised learning, model evaluation, and deployment. It valuable resource for learners who want to get started with machine learning.
Provides a practical introduction to machine learning using R, covering topics such as supervised and unsupervised learning, model evaluation, and deployment. It valuable resource for learners who want to get started with machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/mjiyqy/exploratory
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Time
1 hours
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Good to know
Examines the process of analyzing data sets stored in BigQuery, which is standard in the industry
Utilizes the Google Cloud console, a platform widely recognized for its comprehensiveness
Teaches how to perform queries and present data using statistical plotting techniques, these skills are highly relevant to data analysis
Part of the Google Cloud Training series, indicating a comprehensive approach to cloud computing
Teaches hands-on skills in data analysis, which are useful for personal growth and development
Self-paced format, providing flexibility for learners
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