Google’s Free Data Analytics Courses: Details here

Google Provides Professional Certificates in Data Analytics: Gain On-Demand Skills

Data analytics refers to the process of gathering, organizing, analyzing, and interpreting data to acquire insights and make educated decisions. Data analytics is an vital skill in today's society since data is omnipresent and influences every part of our lives. Data science is a larger term that includes data analytics, as well as data engineering, machine learning, and artificial intelligence. Data science is one of the most in-demand and profitable professions in the twenty-first century.

If you want to learn about data analysis and data science, you're in luck. Google, one of the world's largest data and technology businesses, offers free online data analytics courses through Coursera. The courses teach the fundamentals of data analytics with technologies such as spreadsheets, SQL, Tableau, and R. The classes are intended to assist students in finding entry-level positions in data analytics, with Google providing career guidance. In this article, we'll go over Google's free data analytics courses and how you can sign up and make use of them.

Google Data Analytics

Google's Data Analytics Certificate program, available on Coursera, provides learners with the necessary skills for entry-level data analytics positions. Whether you're a novice or want to enhance your career, this program will teach you about data kinds, problem-solving, analysis, and data storytelling using technologies like R programming, SQL, and Tableau. The typical entry-level pay in data analytics surpasses US$92,000, with no prior experience or degree necessary. Get started and connect with over 150 employers to jumpstart your career in this rapidly growing sector!

Learn Python Basics for Data Analysis

Google's Digital Garage provides a free course called Learn Python Basics for Data Analysis. In this course, you will learn the fundamentals of Python and its applications in data analysis. Loops, data structures, Pandas, data visualization, and modeling are among the topics discussed. It's a hands-on application that will teach you how to sort, structure, and evaluate data with Python.

Data Analysis with R Programming

Google's Data Analytics Certificate program includes the Data Analysis using R Programming course. This course introduces students to the R programming language, RStudio, and unique R features such as R packages. Topics covered include data cleansing, organizing, analysis, visualization, and reporting. No prior experience is required, and successful completion qualifies students for entry-level data analyst positions.

Process Data from Dirty to Clean

The Google Data Analytics Certificate program includes the Process Data from Dirty to Clean course. In this course, students continue to develop their understanding of data analytics and the technologies used by data analysts. They learn how to use spreadsheets and SQL to review and clean data, validate outcomes, and create efficient data-cleaning reports. No prior experience is required, and successful completion qualifies students for entry-level data analyst positions.

Share Data Through the Art of Visualization

Google's Data Analytics Certificate program contains the course Share Data Through the Art of Visualization. In this sixth course of the certificate program, students will learn about data visualization and presentation techniques. You will learn how to use visual dashboards to bring your data to life, as well as explore Tableau, a sophisticated data visualization platform. Mastering these abilities will prepare you for entry-level data analyst positions.

Google Advanced Data Analytics Capstone

The Google Advanced Data Analytics Capstone is an optional assignment for the Google Advanced Data Analytics Professional Certificate. In this course, you will use important principles from the previous six courses to provide data-driven insights for a specific business challenge. The capstone project teaches you how to utilize practical tools such as Jupyter Notebook, Python, and Tableau to improve your data analytics abilities and advance your career.