Online Course – Google Analytics Certified Professional Certificate Google Data

First steps to a career in data analysis. This program allows you to acquire essential skills in 6 months, without the need for a degree or prior experience.

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קורס אונליין - תעודה מקצועית מוסמכת בGoogle אנליטיקה נתונים של Google

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Data Cleanup
  • Troubleshooting
  • Critical thinking
  • Data Ethics
  • Data visualization
  • Presentations
  • Spreadsheets
  • SQL
  • Tableau
  • Programming in R

What you will learn in the course

Courses for which the course is suitable

  • Junior Data Analyst
  • Associate Data Analyst
  • Database Administrator
  • Data analysis roles
  • Entry-level roles in data
  • Roles that require data cleansing and problem-solving skills
  • Roles that require critical thinking and data visualization

Professional Certificate – 8-Course Series

You can develop new skills in data analytics, a high-growth field. No experience or degree is required. You can take professional training developed by Google. Data analytics involves collecting, processing, and organizing data to draw conclusions, make predictions, and make informed decisions. Through the program’s 8 courses, you’ll develop in-demand skills that are suitable for entry-level roles. You’ll learn from Googlers who started their analytics careers from scratch. With less than 10 hours of study per week, you can complete the courses in 6 months. You’ll be prepared to take on roles such as Junior or Associate Data Analyst, or Database Administrator. 75% of graduates of the US program report an improvement in their careers within 6 months of completing the course.

Hands-on Learning Project

The course includes over 180 hours of lectures and hundreds of hands-on tests, allowing you to recreate real-world data analysis situations needed for success on the job. The content is interactive and created by Googlers with many years of experience in analytics. Through videos, tests, and exercises, you will become familiar with the necessary tools and platforms, as well as the key analytical skills required in entry-level roles.

Skills you can acquire: Data cleaning, problem solving, critical thinking, data ethics, and data visualization. Tools and platforms for learning: Presentations, spreadsheets, SQL, Tableau, R programming.

Through hands-on training and case studies, you can showcase your skills to employers. Learn the tangible, practical skills that employers are looking for today.

Details of the courses that make up the specialization

1. Basics: Data is everywhere

Course 1
19 hours
What you will learn:

  • Define and detail the main concepts of data analysis, data analytics, and data ecosystem.
  • Perform self-assessment using analytical thinking with practical examples.
  • Understand the roles of spreadsheets, query languages, and data visualization tools and interfaces.
  • Explain the role of the data analyst in a transaction with examples of different roles.

2. Questions to make data-driven decisions

Course 2
18 hours
What you will learn:

  • Explain how each step in the problem-solving process contributes to common analytical cases.
  • Discuss the use of data in the decision-making process.
  • Perform basic data analyst tasks using spreadsheets.
  • Explain the key concepts related to organized thinking.

3. Preparing data for investigation

Course 3
23 hours
What you will learn:

  • Explain the criteria for judgment when collecting data.
  • Understand the difference between biased and unbiased data.
  • Explain the components and functions of databases.
  • Understand best practices for organizing data.

4. Convert “dirty” data to “clean” data

Course 4
22 hours
What you will learn:

  • Define what data integrity is and the risks involved.
  • Implement basic SQL functions to clean up textual variables in a database.
  • Create basic SQL queries for database use.
  • Explain the process of validating data cleansing results.

5. Analyze data and extract answers

Course 5
26 hours
What you will learn:

  • Explain the importance of managing data before analyzing it, including sorting and filtering.
  • Understand the concepts related to data conversion and processing.
  • Understand the functions and syntax of SQL queries to combine data from different databases.
  • Explain functions for basic calculations in spreadsheets.

6. Sharing data through visualization

Course 6
24 hours
What you will learn:

  • Explain the use of visualization to share data and analysis results.
  • Understand Tableau visualization tools and how to use them.
  • Explain what a data-driven story is, its importance, and its characteristics.
  • Explain principles and methods for effective presentations.

7. Data analysis in R language

Course 7
36 hours
What you will learn:

  • Explain the R programming language and its programming environment.
  • Explain basic concepts related to R programming such as functions, variables, data types, pipes, and vectors.
  • Understand options for creating visualizations in R.
  • Understand the basics of R Markdown and create compelling content.

8. Learning Summary Task: Case Study

Course 8
8 hours
What you will learn:

  • Understand the meaning and characteristics of a case study and portfolio.
  • Explain the key characteristics of a case study.
  • Apply methods and steps throughout the data analysis process to a given data set.
  • Discuss the use of case studies and portfolios in communicating with recruiters and candidates.

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