- Introduction to data exploration
- Hallie: Fascinating data insights
- Data collection in our world
- Determining what data to collect
- Discover data formats
- Understanding structured data
- Know the type of data you're working with
- Data table components
- Meet wide and long data
Beginner
Online
Quick facts
particular | details | |
---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course overview
The online course on Prepare Data for Exploration by Coursera is the third part of the series programme under the Google Data Analytics certificate. The course will equip the students with the skills needed to apply to introductory-level data analyst jobs. The experts will guide the students throughout the Prepare Data for Exploration online course. Over 23 hours, students will gain a detailed understanding of the following topics - Considerations in Data collection, Data formats in practice, The structure of data, Introduction to Data Ethics, the importance of data ethics, Introduction to data privacy, steps for ethical data use and others. The students will gain practical data analytics skills and learn how to use tools like SQL and spreadsheet to extract, organize and protect data. Hence the online session will help the students emerge as successful data analysts.
The highlights
- Subtitles in English
- 100% online programme
- Flexible deadlines
- 25 hours total course duration
- Course level beginner
- Course offered by Google
- Programme by Coursera
- Shareable certificate
Program offerings
- Online course
- Readings
- Subtitles
- Videos
- Quiz
- Assignments
- Peer feedback
Course and certificate fees
Prepare Data for Exploration fees details
Particulars | Fee Amount in INR |
Prepare Data for Exploration (audit only) | Free |
Prepare Data for Exploration - 1 month | Rs. 2,001/- |
Prepare Data for Exploration - 3 months | Rs. 4,002/- |
Prepare Data for Exploration - 6 months | Rs. 6,004/- |
certificate availability
certificate providing authority
Eligibility criteria
Education
To apply for the Prepare Data for Exploration online course, the students need to have high-school level math skills.
Certification Qualification Details
The students will be rewarded with Prepare Data for Exploration certification once they complete the course after paying the requested amount.
What you will learn
On completing the Prepare Data for Exploration certification syllabus, the students will learn the following-
- The professional ways of collecting data.
- The techniques to modify data and its practical use.
- The ways of analysing the spreadsheets using SQL.
- Candidates will learn the boolean logic.
- The difference between unbiased and biased data.
- The relationship between data privacy and data ethics.
- The process of determining data.
- Types of data versus data types.
- The process of identifying good data sources.
- The details of data formats in practice.
Who it is for
The Prepare Data for Exploration certification will benefit the following students-
- Candidates who want to secure a career in the domain of data analysis.
Admission details
Filling the form
Students who wish to apply for the Prepare Data for Exploration online course can do so by following the given steps-
Step 1: The interested students can visit the course webpage.
Step 2: The enrol button needs to be clicked by the students.
Step 3: In the further steps, the students can choose to audit the course for free or apply for the course up-gradation by paying the amount as requested.
The syllabus
Module 1: Data types and structures
Videos
Readings
- Course syllabus
- Deciding if you should take the speed track
- Optional: Your diagnostic quiz score and what it means
- Selecting the right data
- Data formats in practice
- The structure of data
- Data modeling levels and techniques
- Understanding Boolean logic
- Transforming data
- Glossary: Terms and definitions
Quizzes
- Test your knowledge on collecting data
- Optional Self-Reflection: Unstructured data
- Test your knowledge on data formats and structures
- Hands-On Activity: Introduction to Kaggle
- Test your knowledge on data types, fields, and values
- Module 1 challenge
Discussion Prompt
- Meet and greet
Plugins
- Refresher: Your Google Data Analytics Certificate roadmap
- Differentiate data types
Discussion Prompt
- Meet and greet
Plugins
- Refresher: Your Google Data Analytics Certificate roadmap
- Differentiate data types
Module 2: Bias, credibility, privacy, ethics, and access
Videos
- Ensuring data integrity
- Bias: From questions to conclusions
- Biased and unbiased data
- Understanding bias in data
- Identifying good data sources
- What is "bad" data?
- Introduction to data ethics
- Optional Refresher: Alex: The importance of data ethics
- Introduction to data privacy
- Andrew: The ethical use of data
- Features of open data
- Andrew: Steps for ethical data use
Readings
- Data anonymization
- The open-data debate
- Sites and resources for open data
- Glossary: Terms and definitions
Quizzes
- Test your knowledge on unbiased and objective data
- Test your knowledge on data credibility
- Test your knowledge on data ethics and privacy
- Hands-On Activity: Kaggle datasets
- Test your knowledge on open data
- Module 2 challenge
Discussion Prompt
- Account for bias
Discussion Prompt
- Account for bias
Module 3: Databases: Where data lives
Videos
- All about databases
- Database features
- Exploring metadata
- Using metadata as an analyst
- Metadata management
- Megan: Fun with metadata
- Working with more data sources
- Importing data from spreadsheets and databases
- Sorting and filtering
- Setting up BigQuery, including sandbox and billing options
- How to use BigQuery
- BigQuery in action
Readings
- Databases in data analytics
- Inspecting a dataset: A guided, hands-on tour
- Metadata is as important as the data itself
- From external source to a spreadsheet
- Exploring public datasets
- Using BigQuery
- In-depth guide: SQL best practices
- Glossary: Terms and definitions
Quizzes
- Test your knowledge on working with databases
- Test your knowledge on metadata
- Test your knowledge on accessing data sources
- Hands-On Activity: Clean data in spreadsheets with sorting and filtering
- Self-Reflection: Compare databases and spreadsheets
- Test your knowledge on sorting and filtering
- Hands-On Activity: Introduction to BigQuery
- Hands-On Activity: Create a custom table in BigQuery
- Hands-On Activity: Choose the right tool for the job
- Hands-On Activity: More practice with SQL
- Test your knowledge on using SQL with large datasets
- Module 3 challenge
app item
Hands-On Guided Project: Select a new city using BigQuery
app item
Hands-On Guided Project: Select a new city using BigQuery
Module 4: Organizing and protecting your data
Videos
- Feel confident in your data
- Let's get organized
- All about file naming
- Security features in spreadsheets
Readings
- File organization guidelines
- Balance security and analytics
- Glossary terms from module 4
Quizzes
- Test your knowledge on bringing data to order
- Self-Reflection: Protect your resources
- Test your knowledge on securing data
- Module 4 challenge
Plugin
- Effective file-naming and organization methods
Plugin
- Effective file-naming and organization methods
Module 5: Optional: Engaging in the data community
Videos
- Managing your presence as a data analyst
- Why an online presence is important
- Tips for enhancing your online presence
- Networking know-how
- Benefits of mentorship
- Rachel: Mentors are key
Readings
- Getting started with LinkedIn
- Building connections on LinkedIn
- Developing a network
Quiz
- Self-Reflection: Adding Kaggle to your online presence
Module 5: Course challenge
Video
- Manage your presence as a data analyst
- Why an online presence is important
- Tips for enhancing your online presence
- Networking know-how
- Benefits of mentorship
- Rachel: Mentors are key
- Congratulations! Course wrap-up
Readings
- Get started with LinkedIn
- Build connections on LinkedIn
- Develop a network
- Course 3 glossary
- Coming up next..
Scholarship Details
Applicants facing the financial crisis can apply for scholarships or financial aid to pursue the Prepare Data for Exploration programme. Students selected for the scholarship will be notified further.
How it helps
The Prepare Data for Exploration course gives students and professionals an opportunity to learn from the industry experts and professors and enhance their skills in the domain of data analysis. The Prepare Data for Exploration certification benefits the students who want to pursue a career as a data analyst. The course has been jointly developed by Google and Coursera.
The sessions will be held on the digital platform and can be accessed by the students in multiple subtitles. The Prepare Data for Exploration certification course provides successful candidates with a certificate that they can share over both digital and printed platforms to secure better jobs and career opportunities. The students, upon completion of the course, will have their professional skills enhanced and strengthened. Furthermore, for making the programme more affordable, scholarships are also made available to the students. The level of the course is intermediate.
FAQs
The Prepare Data for Exploration certification course can be completed in 25 hours.
No, the entire session is not free. Only the enrollment for the course is free. However, to access the graded material and the certificate, the course fee needs to be paid.
To apply for the Prepare Data for Exploration course, the students need to have high-school level maths skills.
The enrollment for the current session is going on as of now. The students can visit the website of Coursera for more details.
The Prepare Data for Exploration certification course is being offered by Google.
Yes, financial aid is offered to students facing financial crises.
After completing the course, students will develop Spreadsheet, Data Collection, Metadata, SQL and Data Ethics skills.
Students can further share the Prepare Data for Exploration training certificate on their respective social media handles.
The students can view the Prepare Data for Exploration certification syllabus on the main website of Coursera.
Yes, subtitles are available in the English language.
Articles
Popular Articles
Latest Articles
Similar Courses
Data for Better Lives A New Social Contract Self P...
The World Bank Group via Edx
Data for Better Lives A New Social Contract
The World Bank Group via Edx
Introduction to Data Analytics
Springboard
Data Analyst Career Guide and Interview Preparatio...
IBM via Coursera
Data Analytics in Sports Law and Team Management
SUNY via Coursera
Data Analytics for Lean Six Sigma
UvA Amsterdam via Coursera
Agile Analytics
UVA Charlottesville via Coursera
Getting Started with Data Analytics on Amazon Web ...
Amazon Web Services via Edx
Data Analytics in Accounting and Finance
The Hong Kong Polytechnic University, Hong Kong via Edx
Data Analytics Basics for Everyone
IBM via Edx
Courses of your interest
C++ Foundation
PW Skills
Data Science Foundations to Core Bootcamp
Springboard
User Experience Design And Research
UM–Ann Arbor via Futurelearn
Data Analysis with Excel for Complete Beginners
CloudSwyft Global Systems, Inc via Futurelearn
Artificial intelligence Design and Engineering wit...
CloudSwyft Global Systems, Inc via Futurelearn
Data Science Fundamentals on Microsoft Azure
CloudSwyft Global Systems, Inc via Futurelearn
Artificial Intelligence Projects
Great Learning
More Courses by Google
Fundamentals Training
Google Artificial Intelligence for JavaScript Deve...
Google via Edx
Coronavirus Powersearching
Google via Edx
Building No Code Apps with App Sheet Foundations
Google via Coursera
Introduction to Cloud Identity
Google via Coursera
CBRS Professional Training
Google via Coursera
Contact Center Artificial Intelligence Conversatio...
Google via Coursera
Understanding Your Google Cloud Costs
Google via Coursera
Developing a Google SRE Culture
Google via Coursera
Deploying SAP on Google Cloud
Google via Coursera
Trending Courses
Popular Courses
Popular Platforms
Learn more about the Courses
The Brochure has been downloaded and sent to your registered email ID successfully.
Thank You!
Brochure has been downloaded.
Sign In/Sign Up
We endeavor to keep you informed and help you choose the right Career path. Sign in and access our resources on Exams, Study Material, Counseling, Colleges etc.