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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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174,517 already enrolled

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4.7

(4,899 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

(4,899 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

Shareable certificate

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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
Coursera Career Certificate

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Coursera Career Certificate

Professional Certificate - 7 course series

Foundations of Data Science

Course 116 hours4.7 (3,083 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: Professional Networking
Category: Project Management
Category: Data-Driven Decision-Making
Category: Data Science
Category: Data Analysis
Category: Business Workflow Analysis
Category: Workflow Management
Category: Data Storytelling
Category: Stakeholder Communications
Category: Analytical Skills
Category: Communication
Category: Data Ethics
Category: Business

Get Started with Python

Course 224 hours4.8 (1,520 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: Pandas (Python Package)
Category: Data Analysis
Category: Object Oriented Programming (OOP)
Category: Data Manipulation
Category: Jupyter
Category: Data Structures
Category: NumPy
Category: Programming Principles
Category: Technical Communication
Category: Data Processing
Category: Scripting

Go Beyond the Numbers: Translate Data into Insights

Course 327 hours4.7 (772 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: Tableau Software
Category: Python Programming
Category: Data Validation
Category: Pandas (Python Package)
Category: Data Ethics
Category: Data Manipulation
Category: Jupyter
Category: Data Analysis
Category: Data Storytelling
Category: Matplotlib
Category: Data Transformation
Category: Stakeholder Communications
Category: Data Wrangling

The Power of Statistics

Course 431 hours4.8 (770 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: Bayesian Statistics
Category: Statistical Hypothesis Testing
Category: Statistical Analysis
Category: Probability
Category: Sampling (Statistics)
Category: Statistical Programming
Category: Probability Distribution
Category: Statistics
Category: Statistical Methods
Category: Data Analysis

Regression Analysis: Simplify Complex Data Relationships

Course 528 hours4.7 (511 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: Machine Learning Methods
Category: Statistics
Category: Statistical Machine Learning
Category: Python Programming
Category: Supervised Learning
Category: Statistical Methods
Category: Predictive Modeling
Category: Statistical Analysis
Category: Analytics
Category: Data Analysis
Category: Advanced Analytics

The Nuts and Bolts of Machine Learning

Course 634 hours4.8 (501 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: Unsupervised Learning
Category: Random Forest Algorithm
Category: Supervised Learning
Category: Applied Machine Learning
Category: Decision Tree Learning
Category: Machine Learning Algorithms
Category: Feature Engineering
Category: Machine Learning
Category: Performance Tuning
Category: Predictive Modeling
Category: Advanced Analytics
Category: Analytics
Category: Python Programming
Category: Data Ethics

Google Advanced Data Analytics Capstone

Course 78 hours4.9 (1,158 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: Statistical Analysis
Category: Data Science
Category: Data Visualization
Category: Data Analysis
Category: Predictive Modeling
Category: Interviewing Skills
Category: Business Analytics
Category: Regression Analysis
Category: Portfolio Management
Category: Data-Driven Decision-Making
Category: Advanced Analytics
Category: Machine Learning

Instructor

Google Career Certificates

Top Instructor

Google
326 Courses12,298,909 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.