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Course

Google Advanced Data Analytics - April 2025 Cohort

Apr 1, 2025 - Jul 31, 2025

$20 Enroll

Full course description

 

Start Date

April 1, 2025

 

Price

$20.00

 

Credential

Google Career Certificate

& Digital Badge

 

Length

17 Weeks

 

Commitment

8-10 Hours Weekly

 

Format

Asynchronous


Advance your career in Data Analytics

Course Description

The Google Advanced Data Analytics Certificate teaches learners how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data.

Designed for people working in the field of data analytics or graduates of the Google Data Analytics Certificate program, this stackable credential helps learners enhance their technical skills with tools like Jupyter Notebook, Python, and Tableau and unlock more opportunities for career progression. 

 

Learning Objectives

  1. Explore the roles of data professionals within an organization 
  2. Create data visualizations and apply statistical methods to investigate data
  3. Build regression and machine learning models to analyze and interpret data
  4. Communicate insights from data analysis to stakeholders

Target Learner

Designed for people working in the field of data analytics or graduates of the Google Data Analytics Certificate program, this stackable credential helps learners enhance their technical skills with tools like Jupyter Notebook, Python, and Tableau and unlock more opportunities for career progression.


Course Topics

  • Data Science
  • Machine Learning
  • Coding Python
  • Predictive Modeling
  • Exploratory Data Analytics
  • Statistical Analysis

7 Courses In This Certificate

Foundations of Data Science

Get Started with Python

Go Beyond the Numbers: Translate Data into Insights

The Power of Statistics

Regression Analysis: Simplify Complex Data Relationships

The Nuts and Bolsts of Machine Learning

Google Advanced Data Analytics Capstone

 


Policies

This non-credit course is offered online using the Canvas LMS (Learning Management System) and Coursera, over a 17-week period. It is asynchronous, but not self-paced. You will have until July 31, 2025 to complete the course. You should plan to spend about 10 hours per week on the course. You will be assessed throughout the course to demonstrate proficiency on the subject matter. You must pass all assessments before receiving the course badge and certificate.

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