Embark on a transformative journey with the Google Advanced Data Analytics course, designed to elevate your expertise in data analytics. Explore the roles and responsibilities of data professionals, harness the power of Python for data manipulation and analysis, and dive into statistical methods to glean meaningful insights from complex datasets. Through hands-on projects and practical applications, you will master the art of creating data visualizations, building regression and machine learning models, and effectively communicating your findings to stakeholders.
With a comprehensive curriculum spanning seven modules, this program delves into foundational data science principles, Python programming, exploratory data analysis, statistical analysis, regression, machine learning, and culminates in a capstone project. Upon completion, you will be equipped for roles such as senior data analyst, junior data scientist, and data science analyst, with access to a network of over 150 U.S. employers, including industry giants like Deloitte, Target, and Verizon. Experience a flexible learning schedule, completing the program in less than six months, and tap into a wealth of career resources to propel your professional growth.
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Discover the comprehensive Google Advanced Data Analytics program, encompassing foundational data science, Python programming, exploratory data analysis, statistical analysis, regression, machine learning, and a capstone project, to equip you with advanced data analytics skills.
Foundations of Data Science module provides insights into the roles and industries utilizing advanced data analytics, emphasizing data privacy and ethics, and project planning.
Get Started with Python introduces the use of Python in data analysis, covering basic building blocks, loops, control statements, and data structures.
Go Beyond the Numbers: Translate Data into Insights explores the exploratory data analysis (EDA) process, data structuring and cleaning, and data visualization using Tableau.
The Power of Statistics delves into dataset exploration and summarization, probability distributions, hypothesis testing, and statistical analyses using Python.
Regression Analysis: Simplify Complex Data Relationships investigates dataset relationships, regression model assumptions, and linear and logistic regression using Python.
The Nuts and Bolts of Machine Learning identifies the types of machine learning, data preparation, building and evaluating supervised and unsupervised learning models using Python, and model and metric selection.
Google Advanced Data Analytics Capstone examines data patterns and trends, builds machine learning models, creates data visualizations, and explores career resources.
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