Earn a credential from Google and prepare for advanced data analytics roles with a median entry-level salary of $134,000 (Lightcast™ U.S. Job Postings 2024).
Learn the skills employers are hiring for, directly from Google experts.
Gain hands-on experience with essential data science tools like Python, Jupyter Notebook, and Tableau.
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Begin your journey into advanced data analytics and discover how data professionals leverage powerful techniques like data storytelling, statistics, and machine learning to drive business decisions. This course explores the role of data professionals in the workplace and introduces the...
Harness the power of Python for data analysis. This course teaches basic Python programming concepts, including object-oriented programming, variables, data types, functions, conditional statements, loops, and data structures, all crucial for data professionals. This is the second course in the...
Create compelling data stories by practicing exploratory data analysis and creating effective data visualizations to communicate key insights. Google employees guide you with hands-on activities and real-world examples, helping you build essential data analytics skills for your career. This is...
Uncover how data professionals utilize statistics to analyze data, gain key insights, and communicate findings effectively. This course explores descriptive and inferential statistics, probability, sampling, confidence intervals, hypothesis testing, and Python for statistical analysis. Google employees provide hands-on activities, sharing...
Discover how to model variable relationships and approach business problems using various data modeling methods. This course explores essential techniques like linear regression, analysis of variance (ANOVA), and logistic regression, enhancing your data analytics skills for a successful career. This...
Learn how machine learning uses algorithms and statistics to find patterns in data, helping professionals solve complex problems and make accurate predictions. Learn about supervised and unsupervised machine learning, and apply models like Naive Bayes, decision tree, and random forest....
Prepare to apply your data analysis expertise to real business challenges. This final course offers an optional capstone project to develop data-driven insights. You'll put your skills to work through hands-on activities, and will be able to share examples from...
Enhance your job search with AI. This course provides practical strategies and leverages AI tools like Gemini and NotebookLM. Discover valuable skills, create a personalized job search plan, manage applications, and practice for interviews. You'll build a personalized job search...
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