Google Data Analytics Professional Certificate program applications are open for international applicants. This English-taught program offers a fast track to a career in Data Analytics. Data analytics involves gathering, transforming, and organizing data to draw insights, make predictions, and facilitate informed decision-making. You’ll acquire desirable skills for entry-level positions throughout the eight courses.

By participating in this course, you learn directly from Google experts. With a commitment of fewer than 10 hours per week, you can complete the Certificate in less than six months.

Upon successful completion, you can access job opportunities with Google and over 150 U.S. employers, such as Deloitte, Target, and Verizon. Notably, within six months, 75% of certificate graduates experience positive career outcomes, including new jobs, promotions, or salary increases.

The program features an Applied Learning Project, offering over 180 hours of instruction and numerous practice-based assessments. These activities simulate real-world data analytics scenarios, which are crucial for success in the workplace. Content is interactive and exclusively developed by Google employees with extensive experience in data analytics. You’ll delve into analysis tools, platforms, and key skills, including data cleaning, problem-solving, critical thinking, data ethics, and visualization.

Furthermore, you’ll work with various platforms and tools such as presentations, spreadsheets, SQL, Tableau, and R Programming. By completing a case study, you’ll demonstrate your newly acquired skills to potential employers, enhancing your employability in this competitive field. Gain tangible skills that top employers are actively seeking, and embark on a fulfilling career journey in data analytics.

Courses Available in this Program

The Google Data Analytics Professional Certificate program contains eight courses as follows:

• Foundations: Data, Data, Everywhere
• Ask Questions to Make Data-Driven Decisions
• Prepare Data for Exploration
• Process Data from Dirty to Clean
• Analyze Data to Answer Questions
• Share Data Through the Art of Visualization
• Data Analysis with R Programming
• Google Data Analytics Capstone: Complete a Case Study

Key Details and Dates:

• Application Deadline: Rolling basis
• Starting Date: 18 March 2025
• Funding Type: Financial aid available
• Organizer: Google
• Eligible Countries: All
• Eligible Gender: Male/Female
• Target Group: Individuals interested in Data Analytics careers
• Focus Area: Data Analytics
• Study Level: Beginner level
• Host Country: Online program

Benefits

By participating in this program, you will benefit as follows:

• Shareable Certificate.
• Professional Certificate – 8-course series.
• Career credential demonstrating expertise.
• Access to career resources upon completion.
• Resume review, interview prep, career support.
• Connect with 150+ U.S. hiring organizations.
• Earn a median U.S. salary of $92,000 in Data Analytics.

What Will You Learn?

Applicants don’t need to provide a degree or experience. Successful participants will get financial aid. In this course, you’ll learn:

• Gain a deep understanding of day-to-day practices and processes used by junior or associate data analysts.
• Develop key analytical skills, including data cleaning, analysis, and visualization.
• Learn to use essential tools such as spreadsheets, SQL, R programming, and Tableau.
• Understand how to clean, organize, and analyze data effectively.
• Master the art of visualizing and presenting data findings in dashboards, presentations, and various visualization platforms.

Skills you’ll acquire include:

• Data analysis
• Creating case studies
• Data visualization
• Data cleansing
• Portfolio development
• Data collection
• Spreadsheet management
• Understanding metadata
• SQL proficiency
• Data ethics awareness
• Data aggregation techniques
• Data calculations mastery
• R Markdown utilization
• Proficiency in R programming and RStudio
• Expertise in Tableau Software
• Effective presentation skills
• Ensuring data integrity
• Determining sample sizes
• Decision-making skills
• Problem-solving abilities
• Critical questioning techniques

How to Apply?

Enrollment is available online through Coursera. Enter the link below to start registering:

Register Now

Further details are available on the Coursera website.

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