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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

(4,950 reviews)

Advanced level

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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

(4,950 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

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
75%
of certificate graduates report career improvement
¹
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Coursera Career Certificate

Professional Certificate - 7 course series

Foundations of Data Science

Course 116 hours4.7 (3,108 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: Data Ethics
Category: Project Management
Category: Business Workflow Analysis
Category: Workflow Management
Category: Stakeholder Communications
Category: Business
Category: Professional Networking
Category: Communication
Category: Technical Communication
Category: Data-Driven Decision-Making
Category: Data Storytelling
Category: Analytical Skills
Category: Data Science
Category: Data Analysis

Get Started with Python

Course 224 hours4.8 (1,530 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: Data Structures
Category: Pandas (Python Package)
Category: Data Analysis
Category: Data Manipulation
Category: NumPy
Category: Object Oriented Programming (OOP)
Category: Jupyter
Category: Scripting
Category: Technical Communication
Category: Programming Principles
Category: Computer Programming
Category: Data Processing

Go Beyond the Numbers: Translate Data into Insights

Course 327 hours4.7 (779 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: Data Cleansing
Category: Data Validation
Category: Tableau Software
Category: Python Programming
Category: Data Manipulation
Category: Pandas (Python Package)
Category: Matplotlib
Category: Data Storytelling
Category: Data Presentation
Category: Data Analysis
Category: Data Transformation
Category: Data Ethics
Category: Jupyter
Category: Stakeholder Communications
Category: Data Processing

The Power of Statistics

Course 431 hours4.8 (777 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: Probability & Statistics
Category: Descriptive Statistics
Category: Statistical Inference
Category: Sampling (Statistics)
Category: Statistical Hypothesis Testing
Category: Probability
Category: Probability Distribution
Category: A/B Testing
Category: Statistics
Category: Data Analysis
Category: Analytics
Category: Advanced Analytics
Category: Statistical Analysis
Category: Statistical Methods
Category: Statistical Programming
Category: Python Programming

Regression Analysis: Simplify Complex Data Relationships

Course 528 hours4.7 (515 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: Correlation Analysis
Category: Variance Analysis
Category: Statistical Modeling
Category: Data Analysis
Category: Advanced Analytics
Category: Supervised Learning
Category: Statistical Inference
Category: Predictive Modeling
Category: Statistics
Category: Python Programming
Category: Analytics
Category: Statistical Analysis

The Nuts and Bolts of Machine Learning

Course 634 hours4.8 (505 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: Machine Learning
Category: Supervised Learning
Category: Unsupervised Learning
Category: Machine Learning Algorithms
Category: Data Analysis
Category: Feature Engineering
Category: Advanced Analytics
Category: Data Ethics
Category: Python Programming
Category: Predictive Modeling
Category: Predictive Analytics
Category: Data Validation
Category: Performance Tuning

Google Advanced Data Analytics Capstone

Course 78 hours4.9 (1,172 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: Interviewing Skills
Category: Advanced Analytics
Category: Data Science
Category: Data Analysis
Category: Portfolio Management
Category: Machine Learning
Category: Data-Driven Decision-Making
Category: Statistical Analysis
Category: Data Visualization
Category: Regression Analysis
Category: Business Analytics
Category: Predictive Modeling

Instructor

Google Career Certificates

Top Instructor

Google
326 Courses12,391,869 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.