Coursera

Exploring and Preparing your Data with BigQuery (Coursera)

Offered by Google Cloud,
Exploring and Preparing your Data with BigQuery (Coursera)

This first course in this specialization is Exploring and Preparing your Data with BigQuery. Here we will see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud Platform. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Cloud Dataprep to analyze and transform your datasets.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

This course should take about one week to complete, 5-7 total hours of work. By the end of this course, you’ll be able to query and draw insight from millions of records in our BigQuery public datasets. You’ll learn how to assess the quality of your datasets and develop an automated data cleansing pipeline that will output to BigQuery. Lastly, you’ll get to practice writing and troubleshooting SQL on a real Google Analytics e-commerce dataset to drive marketing insights.
Course 1 of 4 in the From Data to Insights with Google Cloud Platform Specialization

Syllabus

WEEK 1
Welcome to From Data to Insights with Google Cloud Platform: Exploring and Preparing your Data
Learn the courses, content, and technologies that are part of this data analyst specialization
Module 1: Introduction to Data on Google Cloud Platform
Understand the core principles behind Google Cloud Platform and how to leverage them for big data analysis
Module 2: Big Data Tools Overview
Learn what are the key big data tools on Google Cloud Platform that you will be using to analyze, prepare, and visualize data
Module 3: Exploring your Data with SQL
Learn how to query your data with the basics of SQL (Structured Query Language) and practice writing queries in BigQuery
Module 4: Google BigQuery Pricing
Understand how pricing works in BigQuery and how you can best optimize your queries
Module 5: Cleaning and Transforming your Data
Understand the importance of creating high quality datasets and learn the tools that will help you transform your data

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Data Processing with Azure (Coursera) Coursera
LearnQuest

Data Processing with Azure (Coursera)

CS: Information & Technology

This Azure training course is designed to equip students with the knowledge need to process, store and analyze data for making informed business decisions. Through this Azure course, the student will understand what big data is along with the importance of big data analytics, which will improve the students mathematical and programming skills. Students will learn the most effective method of using essential analytical tools such as Python, R, and Apache Spark.

Nov 16th 2026
3 Weeks
Big Data Data Analysis Microsoft Azure
Details
Statistical Thinking for Industrial Problem Solving, presented by JMP (Coursera) Coursera
SAS

Statistical Thinking for Industrial Problem Solving, presented by JMP (Coursera)

Statistics & Data Analysis

Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems.

Nov 16th 2026
5-12 Weeks
Data Analysis Exploratory Data Analysis Problem Solving
Details
Gestión del análisis de datos (Coursera) Coursera
Johns Hopkins University

Gestión del análisis de datos (Coursera)

Business

This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results.

Nov 16th 2026
1 Week
Inference Data Analysis Exploratory Data Analysis
Details
Principles of fMRI 2 (Coursera) Coursera
Johns Hopkins University,University of Colorado Boulder

Principles of fMRI 2 (Coursera)

Health & Society Medicine & Pharmacology

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data.

Nov 16th 2026
4 Weeks
Brain Mind Behavioral
Details
Data Science for Business Innovation (Coursera) Coursera
Politecnico di Milano,EIT Digital

Data Science for Business Innovation (Coursera)

Statistics & Data Analysis Data Science

The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues.

Nov 16th 2026
4 Weeks
NoSQL Machine Learning Big Data
Details
Assessing Health Program Delivery (Coursera) Coursera
Johns Hopkins University

Assessing Health Program Delivery (Coursera)

Health & Society

This course provides in-depth knowledge about implementation strength, quality of care, and service utilization, which are essential components of health program delivery. This course is primarily aimed at implementers, managers, funders, and evaluators of health programs in low- and middle-income settings (LMISs) targeting women and children, and undergraduate and graduate students in health-related fields.

Nov 16th 2026
5-12 Weeks
Health Data Analysis Quality Control
Details
Data Science Ethics (Coursera) Coursera
University of Michigan

Data Science Ethics (Coursera)

Data Science

What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches? This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency as you gain a deeper understanding of the importance of a shared set of ethical values.

Nov 16th 2026
4 Weeks
History Ethics Data Analysis
Details
Fundamentals of Data Analysis in Excel (Coursera) Coursera
Corporate Finance Institute

Fundamentals of Data Analysis in Excel (Coursera)

Economics & Finance Statistics & Data Analysis

Excel is the most widely used analysis tool in the world and a great starting point for diving into data analysis. In this course, you’ll apply Excel’s native tools to structure your data into spreadsheets and tables. You’ll then analyze and produce insights from that data using pivot tables. Finally, you’ll visualize those insights by building a dashboard in Excel. You’ll apply these skills using modern functionality like dynamic array formulas, linked data types, and Ideas in Excel. You’ll work hands-on with real-world scenarios, using datasets pulled from financial statements and retail sales.

Nov 16th 2026
5-12 Weeks
Excel Data Analysis Microsoft Excel
Details