Sunday, September 19, 2021

Google Data Analytics Certification: The Job Ready Data Analytics Course Through Online In 2021

Data is being considered as the new oil of the future. Businesses and organizations collect and analyze data for improvements and future opportunities. Healthcare institutions need to keep and organize patients’ data and reports. Managing these data sets and making predictions is a tough task, so various businesses need data analysts to help them. Data analysts are experts in data analytics. They manage these huge data sets and draw benefitting conclusions from them.

Data analytics is about collecting, analyzing, organizing data to make predictions about future trends and opportunities.

If you are passionate about data analytics or looking forward to beginning a career in data analytics, then the Google Data Analytics Professional Certificate is the best choice. Google has introduced job ready courses to fulfill the demand of data professionals. The professional course has all the learning material, quizzes, instructions, and mock interviews as well.

In this article, we will discuss the Google Data Analytics Professional Certificate, the course duration, eligibility, curriculum, learning outcomes, and many more.

What is Google Data Analytics Certification?

To kickstart its bold announcement of introducing job guaranteeing courses of three to six months long, Google, in March 2021 launched the Data Analytics Professional Certificate. The course aims at skilling people with data analytics tools and techniques to overcome the shortfall in data analyst demands. The course covers the professional aspect of data analytics with interactive teaching methods and full support. You will be able to earn the certificate in less than three weeks with 10 hours of study per week. 

Google Data Analytics Professional Certificate Coursera

Google in collaboration with Coursera has introduced the Google Data Analytics Professional Certificate course that aims at making people job-ready. The course has been designed by subject matter experts right from the Google office. The experts are people working in various data specific positions with years of experience and technical expertise. The program is roughly 180 hours long with 8 courses including a capstone project and makes learners skilled in data analytics tasks with interactive teaching methods like quizzes, discussion prompts, and activities. 

Google Data Analytics Certification Cost

The course starts with a 7 day free trial period and then charges $39 per month. The course can be completed within 6 months with part-time study. Thus, most students can take the complete course for under $300 USD. 

Financial aid is also available through the Coursera course page. You may fill the form and upon confirmation, you will get access to the full course along with a certificate. 

Google Data Analytics Professional Certificate Review

The Google Data Analytics certification has a massive student enrollment with 273,433 students enrolled. The course has also gathered ratings of 4.8 stars. The course presents well-structured coursework that equips learners with the fundamental knowledge of data analytics. The professional certificate holders have been hired from the top recruiting companies. 

Google Data Analytics Certification

Learners suggest first few courses are basics, so if you have knowledge about data analytics then you might get bored. The course is built to suit learners from all aspects, videos and modules are well structured and explain things in a lucid manner.

Ratings on Coursera

Google Data Analytics Course Duration

The course has 180+ hours of learning material, instructions, and quizzes. You will be able to complete the course in 6 months by dedicating 10 hours per week.

During this pandemic, since students are free, some reported completing the course in less than 3 months. 

Google Data Analytics Course Curriculum

The course covers an in-depth view of data analytics. It has been designed to make you understand everything right from the basic foundational terms. Through a mix of interactive videos, assessments, quizzes, discussions, projects, and hands-on labs, you will be learning about data analytics, its tools and different resources. After taking the course, you will be eligible for entry level data analytics job roles. The Google Data Analytics Professional Certificate course on Coursera is divided into 8 different short courses: 

Foundations: Data, Data, Everywhere!

Google Data Analytics Certification

This is the first course in the certification. It deals with the foundational aspects of data analytics, tools, and different analytical skills that you need to have. It will help you understand the job roles of a junior or associate data analyst in a company. The course assesses one with analytical skills like data cleaning, data processing, and data visualization, and different tools used in data analytics like spreadsheets, R programming, Tableau, and SQL. The course also deals with job opportunities and best practices for desired job roles. 

You will learn:

  • Data cleaning, processing, visualization
  • About Spreadsheets, R programming, Tableau, and SQL
  • Best practices for a job hunt

You might also like: Which is better for a data science course certificate – Cisco or IBM?

Ask Questions to make Data-Driven Decisions

The second course in the professional certificate deals with questioning techniques, data presentation, importance and usage of spreadsheets, and types of stakeholders. This course helps in learning strategies and communication skills for data analysts.

You will get to learn about:

  • How to question smartly.
  • Real world business involving data.
  • Importance of Spreadsheets
  • Decision making in data analytics
  • Communication in data analytics
  • Managing stakeholders

Prepare Data for Explorations

This is the third course that helps you to prepare data for analysis and how to use different tools for data analysis. This course introduces Spreadsheets and SQL. With these two, you will learn to organize data for proper study. You will learn:

  • How to collect data
  • Different forms of data
  • Good data and data ethics
  • Bias and its types
  • Data privacy and security
  • SQL basics
  • Spreadsheets- Functions and techniques
  • LinkedIn and Kaggle

Process Data from Dirty to Clean

The fourth course in the professional certificate will help you understand how to present data cleaning reports, deal with SQL and Spreadsheets for data analysis. You will learn to do common data analysts tasks. In this course, you will learn about:

  • Data integrity, types and risks
  • Hypothesis testing and error margin
  • Data cleaning and transformation techniques in Spreadsheets and SQL
  • Basic SQL queries 
  • Elements and necessity of data cleaning reports.

Analyze Data to Answer Questions

The fifth course in the Google Data Analytics Professional Certificate course will analyze the data collected. You will learn to organize and analyze data with different data analytics tools.

You will learn:

  • How to organize data.
  • SQL functions and queries.
  • Best data analytics tools and resources.
  • Sorting data in Spreadsheets and SQL
  • Basics of data analysis
  • Pivot tables 
  • Data violation processes

Share Data through the Art of Visualization

The sixth course in the professional certificate deals with data visualization, visual dashboards, and Tableau. This course will teach you to effectively present data sets.

You will learn in detail about:

  • Understanding and using Tableau.
  • Data storytelling.
  • How to do effective presentations.
  • Communicating data insights
  • Organizing visualizations

Data Analysis with R Programming

In the seventh course of the Google Data Analytics Certificate, you will learn about R Programming. You will get to know about R studio and how to use it, the tools and techniques in R.

You will learn:

  • Advantages of R programming
  • To use R Studio 
  • Apply R to your data sets
  • Use Tidyverse packages 
  • Data frames and their use in R
  • Visualizations in R
  • R Markdown and documentation in R programming

Google Data Analytics Capstone: Complete a Case Study

The Final course in the Google Data Analytics Certificate is a capstone project. You will be completing an optional case study. Case studies help employers to analyze your analytical skills and prepare you for a job hunt. You will be choosing an analytics-based scenario and work upon it. You have to prepare, process, analyze and work upon the data from the given scenario. The course also has mock interviews, through videos you will learn about common interview questions and their answers. You will build an online portfolio and learn about common data analysts’ tasks, tools, and resources. 

You will learn:

  • The benefits of case studies and online portfolios.
  • Job interview questions and real world scenarios.
  • Carry out different case studies.


Google Data Analytics Language

The course is currently being conducted in English only.

Google Data Analytics Eligibility

Whether you have any further experience or not, the course can be taken by learners who are curious about data analytics. Only basic high school mathematics is required. 

Google Data Analytics Instructors

The Google Data Analytics Professional Certificate directly comes from the top experts of Google. The courses are specially designed to make learners ready for data analytics job roles. The courses are well structured and cover everything about data analytics in a vivid manner. Google has set the benchmark on Coursera as being the Top Instructor

What you will learn from this course?

Careers related to data are seeing a huge uprise. There is a rapid demand for data analysts and similar roles. This course comes to the rescue by providing all the necessary knowledge about data analytics in one place. It ensures to provide a complete knowledge of data analytics. The program aims at making learners job-ready for junior data analytics job roles. You will learn in-depth knowledge of the data industry and how data analytics can solve real world problems. You will be ready for roles like Junior Data Analyst, Finance Analyst, Operations Analyst, Healthcare Analyst, Junior Data Scientist, Business Intelligence Analyst, and many other job roles. 

Google Data Analytics Certification

After completion of the course, you will learn:

  • Different data process, collecting, cleaning, visualizing
  • Importance and use of Spreadsheets
  • Usage and benefits of SQL
  • Tableau- Importance and how to use
  • R programming, R studio and its different functions
  • Tools and resources for data analytics
  • Building online portfolio
  • Networking on LinkedIn
  • How to ace interviews

Why enroll in the Google Data Analytics Professional Certification?

Google has covered all about data analytics in a single professional course, so you do not need to scrape the web for different topics and courses. The course includes basic foundational as well as skilled levels of study with comprehensive content and necessary skills. After completion of the course, you will have the option of sharing your information with top hiring companies like Infosys, Walmart, Intel, Hulu, Cognizant, and of course, Google. 

Conclusion

The course serves best to those seeking to start a career in data analytics. The program is designed right from the beginners level to suit newcomers. All the necessary theoretical and practical knowledge about data analytics is accumulated in the course, so you need not investigate the web for study materials. The professional certification makes you job-ready and helps you with job hunt, LinkedIn profile building, designing an online portfolio. Learners have reported getting hired from top companies in the industry as well. So, the course proves to be the best initiative to start a career in data analytics.

FAQ:

Is Google Data Analytics Professional Certificate free?

The course comes with $39 per month. The faster you complete, the lesser you need to pay. You can apply for financial aid on Coursera. Fill the form and wait for confirmation of full access to the course.

Is it worth doing Google Data Analytics Certification?

The Google Data Analytics Certification is indeed worth the cost and time. The course equips learners with the necessary knowledge about data analytics and makes you job ready.

Can I get a job with a Google certificate?

Google launched different courses to make learners skilled with the necessary skill sets to become data analysts. You can secure the desired job with a Google certificate. Top hiring companies like Cognizant, Hulu, Infosys, Intel, Walmart, etc offer roles to professionals with Google Certification.

How do I become a Google Data Scientist?

You need to have at least a master’s degree in a relevant field, two years of experience, and some experience with database languages and statistical software. You may apply through the Google Careers page.

How long will it take to complete Google Data Analytics Certification?

As per Coursera, the full course takes about a maximum of 6 months to complete. With 10+ hours of study per week, you can finish the course in less than 3 months.

Do I have to take an exam for Google Data Analytics Certification?

Yes, you need to pass the exams in each of the courses for a Google verified certificate through the Coursera platform.


Google Data Analytics Certification: The Job Ready Data Analytics Course Through Online In 2021

"I make chemistry with words and chemicals"Hey! I am Radhika Mishra, a chemistry enthusiast, and a freelance content writer. I love writing and have been working on regular projects with websites, blogs, and startups. I also help entrepreneurs with LinkedIn branding and optimizing their profiles. Thanks for reading!

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Google Data Analytics Certification: The Job Ready Data Analytics Course Through Online In 2021

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"I make chemistry with words and chemicals"Hey! I am Radhika Mishra, a chemistry enthusiast, and a freelance content writer. I love writing and have been working on regular projects with websites, blogs, and startups. I also help entrepreneurs with LinkedIn branding and optimizing their profiles. Thanks for reading!