Data Analytics Professional Certificate

TechXtramile has partnered with Google to bring you access to the Google: Data Analytics Professional Certificate

Google Data Analytics Certificate – NOW FEATURING AI TRAINING

Hosted on Coursera, this flexible program provides all the skills you need to get your data analytics certificate online and find an entry-level job in the field of data analytics, even if you don’t have prior experience.

There are 8 courses in this professional certificate. Each course is approximately 4-6 weeks long. Courses include:

  1. Foundations: Data, Data, Everywhere
  2. Ask Questions to Make Data-Driven Decisions
  3. Prepare Data For Exploration
  4. Process Data from Dirty to Clean
  5. Analyze Data to Answer Questions
  6. Share Data Through the Art of Visualization
  7. Data Analysis with R Programming
  8. Data Analytics Capstone Project: Complete a Case Study

You’ll learn about:

  • Data types and structures
  • Using data to solve problems
  • How to analyze data
  • Data storytelling with visualizations
  • Using R programming to supercharge your analysis
  • Using AI to boost productivity

Qualify for in-demand jobs in data analytics

Data analysts prepare, process, and analyze data to help inform business decisions. They create visualizations to share their findings with stakeholders and provide recommendations driven by data.

  • Data analyst
  • Junior data analyst
  • Associate data analyst

Get a job in data analytics, with help from Google

Learn the foundations of data analytics, and get the job-ready skills you need to kick start your career in a fast-growing field.


$93,000+ median salary in data analytics (0-5 years experience) || 295,000 open jobs in data analytics

Frequently asked questions

What is data analytics?

Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more. We use and create data every day, like when we stream a show or song or post on social media.

Data analytics is the collection, transformation, and organization of these facts to draw conclusions, make predictions, and drive informed decision-making.

What does a data analyst do?

A data analyst prepares, processes, and analyzes data to help inform business decisions. Data analysts create visualizations to share their findings with stakeholders and provide recommendations driven by data.

What are some important data analyst skills?

A data analyst learns how to work with data to solve problems. Data analyst skills include the ability to…

  • Collect, clean, and organize data for analysis
  • Conduct data analysis and calculations
  • Visualize and present data findings
  • Work with spreadsheets, programming languages, and data visualization platforms
What is the difference between data science and data analytics?

A data analyst works with data to solve business problems using tools like SQL, R or other programming languages, data visualization software, and statistical analysis. A data scientist uses more advanced data techniques to make predictions about the future. They may come up with the questions their team should be asking and determine how to use data to answer them.

Why start a career in data analytics?

Companies must continually adjust their products, services, tools, and business strategies to meet consumer preferences and demand and to react to emerging trends. Because of this, a data analyst career is an in-demand option with competitive pay.

Data analysts make sense of data and numbers to help organizations make better business decisions. They prepare, process, analyze, and visualize data, discovering patterns and trends and answering key questions along the way. Their work empowers their wider team to make better business decisions.

Who is the Google Data Analytics Certificate for?

The Google Data Analytics Certificate is for anyone with a curiosity about how things work. No prior experience or specific tool is required. All you need is high-school-level math.

Why enroll in the Google Data Analytics Certificate?

Enrolling in the Google Data Analytics Certificate will teach you the skill set required to become a junior or associate data analyst. Data analysts know how to ask the right question; prepare, process, and analyze data for key insights; effectively share their findings with stakeholders; and provide data-driven recommendations for thoughtful action.

 

You’ll learn these job-ready skills in our certificate program through interactive content (discussion prompts, quizzes, and activities) in under six months, with under 10 hours of flexible study a week.* Along the way, you’ll work through a curriculum designed with input from top employers and industry leaders, like Tableau, Accenture, and Deloitte. You’ll even have the opportunity to complete a case study that you can share with potential employers to showcase your new skill set.

 

After you’ve graduated from the program, you’ll have access to career resources and the opportunity to connect directly with over 150 employers who are hiring for open entry-level roles in data analytics.

What type of data analytic courses are offered in the certificate program?

The data analytics courses offered in the Google Data Analytics Certificate are…

  • Foundations: Data, Data, Everywhere
  • Ask Questions to Make Data-Driven Decisions
  • Prepare Data For Exploration
  • Process Data from Dirty to Clean
  • Analyze Data to Answer Questions
  • Share Data Through the Art of Visualization
  • Data Analysis with R Programming
  • Data Analytics Capstone Project: Complete a Case Study
What tools or platforms are included in the Google Data Analytics curriculum?

The data analysis tools and platforms included in the certificate curriculum are spreadsheets (Google Sheets or Microsoft Excel), SQL, presentation tools (Powerpoint or Google Slides), Tableau, RStudio, and Kaggle.

Does the Google Data Analytics Certificate include AI content?

The Google Data Analytics Certificate features practical training and hands-on activities to help you leverage AI for data analytics. Learn how to use AI to help with ideas for data visualization, data cleaning, and data structuring directly from Google experts.

Sources: Google (grow.google) | TechXtramile | Coursera

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