Ask Questions to Make Data-Driven Decisions by Google via Coursera: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based

Course overview

Ask Questions to Make Data-Driven Decisions is the second course in the Google Data Analytics certificate series. This particular course would teach the skills required to apply for data analyst positions at the introductory stage. The applicant will learn from the topics presented in the first course on Google data analytics. The material will allow registered candidates to learn how to make successful data-driven decisions while being connected with the needs of stakeholders.

Google's current data analysts will continue to train and offer students handy ways of performing the most advanced techniques and resources for basic data analysis activities. Candidates can get different opportunities to learn the dynamics and fundamentals of data-driving mechanisms. By the end of the course, the candidate will get Ask Questions to Make Data-Driven Decisions certification.

Complete online training will be provided to the candidates, and the course is provided by the Google instructors. The candidate will get an opportunity to learn from the top instructors with constant mentor support. At the end of the course, participants will be awarded a certificate.

Course and certificate fees

The fees for the course Ask Questions to Make Data-Driven Decisions is -

Head	Amount in INR
1 month	Rs. 1,175
3 month	Rs. 2,351
6 month	Rs. 3,527

certificate availability

Yes

certificate providing authority

Coursera

Eligibility criteria

Education

Basic knowledge of high-school-level mathematics is necessary to enrol for Ask Questions to Make Data-Driven Decisions course by Coursera.

Work experience

No work experience is needed to enrol for Ask Questions to Make Data-Driven Decisions certification course.

Certification qualifying details

To achieve Ask Questions to Make Data-Driven Decisions certification, enrolled applicants must complete the scheduled weekly quizzes. If the candidates come up with compelling reasons, dates will be flexible.

What you will learn

Problem solving ability Decision making skills Data science knowledge

By the end of the Ask Questions to Make Data-Driven Decisions programme, students will learn the following skills -

Successful interrogation methods that assist in guiding research.
Candidates can gain insights into the decision-making process based on evidence and how data experts view their conclusions.
Applicants will discuss various real-life situations to support an interpretation of questioning and decisions.
Candidates also learn how and why tablets are an effective data analyst tool.
The core concepts of structured thinking and how analysts can best grasp the challenges and find answers.
Candidates may learn techniques for meeting stakeholder preferences and communicating clearly with a data analysis group to meet market goals.
The applicant will learn how every phase of the problem-solving roadmap applies to typical scenarios.
The applicant will learn the use of tablets to perform key data analyst activities, including data input and organisation.

The syllabus

Module 1: Ask Effective questions

Videos

Introduction to problem-solving and effective questioning
Data in action
Nikki: The data process works
Common problem types
Problems in the real world
Anmol: From hypothesis to outcome
SMART questions
Evan: Data opens doors

Readings

Course 2 overview: Set your expectations
Helpful resources and tips
Evaluate your current data analytics skills
From issue to action: The six data analysis phases
Six common problem types
More about SMART questions
Glossary terms from module 1

Quizzes

Test your knowledge on taking action with data
Self-Reflection: Practice working SMART
Self-Reflection: Ask your own SMART questions
Test your knowledge on crafting effective questions
Module 1 challenge

Assignment

Test your knowledge on solving problems with data

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Refresher: Your Google Data Analytics Certificate roadmap
Name the problem type

Module 2: Make Data-driven decisions

Videos

Data and decisions
How data empowers decisions
Qualitative and quantitative data
The big reveal: Sharing your findings
Data versus metrics
Mathematical thinking

Readings

Data trials and triumphs
Qualitative and quantitative data in business
Tools for visualizing data
Design compelling dashboards
Big and small data
Glossary terms from module 2

Quizzes

Test your knowledge on the power of data
Self-Reflection: Dive deeper into dashboards
Test your knowledge on following the evidence
Test your knowledge on connecting the data dots
Module 2 challenge

Module 3: Spreadsheet Magic

Videos

The amazing spreadsheet
Get to work with spreadsheets
Basic spreadsheet tasks
Formulas for success
Spreadsheet errors and fixes
Functions 101
Before solving a problem, understand it
Scope of work and structured thinking
Staying objective

Readings

Spreadsheets and the data life cycle
Learn more about spreadsheet basics
Quick reference: Formulas in spreadsheets
More about spreadsheet errors and fixes
Quick reference: Functions in spreadsheets
The importance of context
Learning Log: Define problems and ask questions with data
Glossary: Terms and definitions
Step-by-Step: Basic spreadsheet tasks

Quizzes

Hands-On Activity: Introduction to Google Sheets
Test your knowledge on working with spreadsheets
Test your knowledge on using formulas in spreadsheets
Hands-On Activity: Create a Custom Data Table
Test your knowledge on using functions in spreadsheets
Hands-On Activity: Create a scope of work
Test your knowledge on structured thinking
*Weekly challenge 3*

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Creating a scope of work

Module 4: Always remember the stakeholder

Videos

Communicating with your team
Balancing needs and expectations across your team
Focus on what matters
Clear communication is key
Tips for effective communication
Balancing expectations and realistic project goals
Sarah: How to communicate with stakeholders
The data tradeoff: Speed versus accuracy
Think about your process and outcome
Meeting best practices
Ximena: Joining a new team
From conflict to collaboration
Nathan: From the U.S. Marine Corps to data analytics
Course wrap-up
Congratulations!

Readings

Working with stakeholders
Data scenarios and responses
Limitations of data
Leading great meetings
Glossary: Terms and definitions
Coming up next...

Quizzes

Test your knowledge on teamwork
*Weekly challenge 4*

Assignment

Test your knowledge on clear communication

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Understanding stakeholder roles

Module 2: Ask Data-driven decisions

Discussion prompt

Using data in everyday life

Admission details

The procedure to enrol into Ask Questions to Make Data-Driven Decisions online course is as follows -

Step 1: Visit the home page and get the complete information about the course.

Step 2: Choose the option “enrol for free”, candidates need to sign in with a registered account; in case the candidate is not registered, they need to make an account using any of the verified social accounts.

Step 3: Complete information about the course’s duration and fees will pop up on the screen, go through it and if the candidates are okay with it, then tap on “start the free trial”.

Step 4: The candidate will be directed to the payment page, pay the fees for the course.

Step 5: Enrollment is done.

Scholarship Details

Candidates who cannot pay the fees can apply for financial assistance for Ask Questions to Make Data-Driven Decisions training. They must qualify for the scholarship and provide the full information. Subsequently, checks are carried out by the course provider, which will take at least 15 days.

Evaluation process

Candidates need to submit the assigned quizzes on time to attain the Ask Questions to Make Data-Driven Decisions certification.

How it helps

The Ask Questions to Make Data-Driven Decisions course is taught by top Google instructors. The course content will help the registered applicants learn how to address the needs of stakeholders and make good data-driven choices. The new data analysts of Google will continue to train and provide students with practical means of implementing the most innovative methods and tools. Candidates can learn the mechanics and fundamentals of the data driving process, and they will receive the certificate at the end of the course. The applicants will be provided with complete online instruction and get an opportunity to learn from top trainers.