Google Advanced Data Analytics Professional Certificate

Overview

Google Advanced Data Analytics Professional Certificate

Learn in-demand skills like statistical analysis, Python, regression models, and machine learning in less than 6 months. Earn a career credential that demonstrates your expertise.

4.8 from 10,485 reviews of courses in this program. Advanced level. Recommended experience.

Advanced level

Prior knowledge of foundational analytical principles, skills, and tools.

Explore the roles of data professionals within an organization

Create data visualizations and apply statistical methods to investigate data

Build regression and machine learning models to analyze and interpret data

Communicate insights from data analysis to stakeholders

• Receive professional-level training from Google
• Demonstrate your technical proficiency
• Earn an employer-recognized certificate from Google
• Qualify for in-demand job titles: senior data analyst, junior data scientist, data science analyst

CA $79,187 median entry-level salary for Data Analyst¹

6,990 job openings for Data Analyst in Canada¹

Get professional training designed by Google and take the next step in your career with advanced data analytics skills.
There are over 84,000 open jobs in advanced data analytics with a median salary of $134,000 in the U.S.¹

Advanced data professionals are responsible for collecting, analyzing, and interpreting extremely large amounts of data. These jobs require manipulating large data sets and using advanced analytics including machine learning, predictive modeling, and experimental design.

This certificate builds on your data analytics skills and experience to take your career to the next level. It's designed for graduates of the Google Data Analytics Certificate or people with equivalent data analytics experience. Expand your knowledge with practical, hands-on projects, featuring Jupyter Notebook, Python, and Tableau.

After seven courses, you’ll be prepared for jobs like senior data analyst, junior data scientist, data science analyst, and more. At under 10 hours a week, the certificate program can be completed in less than six months. Upon completion, you can apply for jobs with Google and over 150 U.S. employers, including Deloitte, Target, and Verizon.

75% of certificate graduates report a positive career outcome (e.g., new job, promo or raise) within six months of completion 2

2 Based on program graduate survey, United States 2022

This program includes over 200 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world advanced data analytics scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in advanced data analytics and data science. Through a mix of videos, assessments, and hands-on labs, you’ll get introduced to advanced data analytics tools and platforms and key technical skills required for an advanced role.

Platforms and tools you will learn include: Jupyter Notebook, Python, Tableau

In addition to expert training and hands-on projects, you'll complete a capstone project that you can share with potential employers to showcase your new skill set. Learn concrete skills that top employers are hiring for right now.

• Understand common careers and industries that use advanced data analytics
• Investigate the impact data analysis can have on decision-making
• Explain how data professionals preserve data privacy and ethics
• Develop a project plan considering roles and responsibilities of team members
• Apply the exploratory data analysis (EDA) process
• Explore the benefits of structuring and cleaning data
• Use probability distributions to model data
• Conduct a hypothesis test to identify insights about data
• Perform statistical analyses using Python

• Category:
  Statistical Hypothesis Testing
• Perform linear and logistic regression using Python
• Practice model evaluation and interpretation

• Category:
  Regression Analysis
• Category:
  Regression Analysis Regression Analysis
• Category:
  Logistic…