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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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4.7

(4,889 reviews)

Advanced level

Recommended experience

Flexible schedule
6 months, 10 hours a week
Learn at your own pace
Build toward a degree
Earn a career credential that demonstrates your expertise
4.7

(4,889 reviews)

Advanced level

Recommended experience

Flexible schedule
6 months, 10 hours a week
Learn at your own pace
Build toward a degree

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

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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Earn a career certificate

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Professional Certificate - 7 course series

Foundations of Data Science

Course 116 hours4.7 (3,082 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

Skills you'll gain

Category: Project Management
Category: Data Science
Category: Data-Driven Decision-Making
Category: Professional Networking
Category: Workflow Management
Category: Analytical Skills
Category: Business Workflow Analysis
Category: Communication
Category: Business
Category: Data Storytelling
Category: Data Analysis
Category: Stakeholder Communications
Category: Data Ethics

Get Started with Python

Course 224 hours4.8 (1,517 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 

Skills you'll gain

Category: Python Programming
Category: Computer Programming
Category: Data Analysis
Category: NumPy
Category: Jupyter
Category: Programming Principles
Category: Object Oriented Programming (OOP)
Category: Data Structures
Category: Pandas (Python Package)
Category: Data Manipulation
Category: Data Processing
Category: Scripting
Category: Technical Communication

Go Beyond the Numbers: Translate Data into Insights

Course 327 hours4.7 (771 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 

Skills you'll gain

Category: Exploratory Data Analysis
Category: Data Visualization Software
Category: Tableau Software
Category: Data Validation
Category: Python Programming
Category: Data Cleansing
Category: Data Ethics
Category: Pandas (Python Package)
Category: Data Manipulation
Category: Data Transformation
Category: Jupyter
Category: Data Storytelling
Category: Matplotlib
Category: Data Analysis
Category: Stakeholder Communications

The Power of Statistics

Course 431 hours4.8 (768 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 

Skills you'll gain

Category: A/B Testing
Category: Statistical Inference
Category: Descriptive Statistics
Category: Statistical Programming
Category: Sampling (Statistics)
Category: Statistical Analysis
Category: Bayesian Statistics
Category: Statistical Hypothesis Testing
Category: Probability
Category: Probability Distribution
Category: Statistics
Category: Data Analysis
Category: Statistical Methods

Regression Analysis: Simplify Complex Data Relationships

Course 528 hours4.7 (510 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

Skills you'll gain

Category: Regression Analysis
Category: Variance Analysis
Category: Statistical Modeling
Category: Correlation Analysis
Category: Statistics
Category: Supervised Learning
Category: Data Analysis
Category: Statistical Methods
Category: Statistical Machine Learning
Category: Statistical Analysis
Category: Advanced Analytics
Category: Analytics
Category: Predictive Modeling
Category: Machine Learning Methods
Category: Python Programming

The Nuts and Bolts of Machine Learning

Course 634 hours4.8 (500 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

Skills you'll gain

Category: Supervised Learning
Category: Unsupervised Learning
Category: Random Forest Algorithm
Category: Machine Learning
Category: Machine Learning Algorithms
Category: Decision Tree Learning
Category: Applied Machine Learning
Category: Feature Engineering
Category: Performance Tuning
Category: Data Ethics
Category: Python Programming
Category: Analytics
Category: Advanced Analytics
Category: Predictive Modeling

Google Advanced Data Analytics Capstone

Course 78 hours4.9 (1,156 ratings)

What you'll learn

  • Examine data to identify patterns and trends

  • Build models using machine learning techniques

  • Create data visualizations

  • Explore career resources

Skills you'll gain

Category: Advanced Analytics
Category: Data Visualization
Category: Data Science
Category: Regression Analysis
Category: Data-Driven Decision-Making
Category: Statistical Analysis
Category: Predictive Modeling
Category: Data Analysis
Category: Business Analytics
Category: Portfolio Management
Category: Interviewing Skills
Category: Machine Learning

Instructor

Google Career Certificates

Top Instructor

Google
326 Courses12,267,909 learners

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Build toward a degree

When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹
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Degree credit eligible

This Professional Certificate has ACE® recommendation. It is eligible for college credit at participating U.S. colleges and universities. Note: The decision to accept specific credit recommendations is up to each institution.

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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.