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Google Advanced Data Analytics Professional Certificate
Google

Google Advanced Data Analytics Professional Certificate

Learn in-demand skills like statistical analysis, Python, regression models, and machine learning in less than 6 months.

Google Career Certificates

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4.8

(4,161 reviews)

Advanced level

Recommended experience

6 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise
4.8

(4,161 reviews)

Advanced level

Recommended experience

6 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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

Details to know

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Taught in English

See how employees at top companies are mastering in-demand skills

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Advance your career with in-demand skills

  • 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
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75%
of certificate graduates report career improvement
¹

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Professional Certificate - 7 course series

Foundations of Data Science

Course 124 hours4.7 (2,652 ratings)

What you'll learn

  • 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

Get Started with Python

Course 230 hours4.8 (1,366 ratings)

What you'll learn

  • Explain how Python is used by data professionals

  • Explore basic Python building blocks, including syntax and semantics

  • Understand loops, control statements, and string manipulation

  • Use data structures to store and organize data 

Go Beyond the Numbers: Translate Data into Insights

Course 332 hours4.7 (692 ratings)

What you'll learn

  • Apply the exploratory data analysis (EDA) process

  • Explore the benefits of structuring and cleaning data

  • Investigate raw data using Python

  • Create data visualizations using Tableau 

The Power of Statistics

Course 437 hours4.8 (669 ratings)

What you'll learn

  • Explore and summarize a dataset

  • Use probability distributions to model data

  • Conduct a hypothesis test to identify insights about data

  • Perform statistical analyses using Python 

Regression Analysis: Simplify Complex Data Relationships

Course 532 hours4.7 (445 ratings)

What you'll learn

  • Investigate relationships in datasets

  • Identify regression model assumptions 

  • Perform linear and logistic regression using Python

  • Practice model evaluation and interpretation

The Nuts and Bolts of Machine Learning

Course 636 hours4.8 (430 ratings)

What you'll learn

  • Identify characteristics of the different types of machine learning

  • Prepare data for machine learning models 

  • Build and evaluate supervised and unsupervised learning models using Python

  • Demonstrate proper model and metric selection for a machine learning algorithm

Google Advanced Data Analytics Capstone

Course 79 hours4.8 (965 ratings)

What you'll learn

  • Examine data to identify patterns and trends

  • Build models using machine learning techniques

  • Create data visualizations

  • Explore career resources

Instructor

Google Career Certificates

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Google
325 Courses11,245,113 learners

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²Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduate survey, United States 2022.