Course Overview

Invest in expert instruction created by Google to boost your career with sophisticated data analytics abilities. The median compensation for entry-level work in advanced data analytics is $118,000, and there are over 144,000 unfilled positions in this field.

Large-scale data collection, analysis, and interpretation fall within the purview of advanced data specialists. Large-scale data manipulation and sophisticated analytics, such as machine learning, predictive modeling, and experimental design, are necessary for these positions.

With this certificate, you can advance your career by enhancing your knowledge and proficiency in data analytics. It is intended for those who have completed the Google Data Analytics Certificate program or have comparable data analytics expertise. Learn more by working on real-world, interactive projects that use Tableau, Python, and Jupyter Notebook.

What you'll learn

• Data Science
• Data Analysis
• Python Programming
• Jupyter Notebook
• Machine Learning
• Statistical Analysis
• Tableau Software
• Data Visualization
• Predictive Modelling
• Kaggle
• Exploratory Data Analysis (EDA)
• Regression Models

Requirements

• Basic knowledge of data analysis.
• A high-end computer or laptop with internet connectivity.
• Approximately six months.
• Flexible work schedule.

AccessTo Career Resources with Google Advanced Data Analytics Professional Certification Course

Enroll Free

Enhanced Employability:

An outstanding Google Advanced Data Analytics Professional Certification that increases your chances of landing the best jobs.

Competitive Advantage:

A chance to differentiate yourself from the crowd and leave a greater impact on prospective employers.

Skill Validation:

A strong validation of your advanced data handling skill verifies your ability to perform all data analytics tasks successfully.

Networking Opportunities:

The Google Advanced Data Analytics Professional Certification course provides ample networking opportunities for participants. Through interactive sessions, group discussions, and cooperative exercises, learners can establish connections with industry professionals and their peers.