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Google Data Analytics Coursera

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
6 months
Duration
6 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job with Google Data Analytics Professional Certificate offered by Coursera in partnership with Google.

Overview

This is your path to a career in data analytics. In this Google Data Analytics Professional Certificate offered by Coursera in partnership with Google, you’ll learn in-demand skills that will have you job-ready in less than 6 months. No degree or experience required.

Key facts:

Prepare for a new career in the high-growth field of data analytics, no experience or degree required. Get professional training designed by Google and have the opportunity to connect with top employers.

Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

Over 8 courses, gain in-demand skills that prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months.

What you'll learn

  • Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job
  • Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, Python, Tableau) 
  • Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and Python
  • Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms

Programme Structure

Courses include:

  • 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

Key information

Duration

  • Part-time
    • 6 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Beginner level
  • No degree or prior experience required
  • This program is aimed at beginners and aspiring data analysts who want to develop job‑ready skills in data analysis, including data cleaning, visualization, and using tools like spreadsheets, SQL, Python, and Tableau.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

  • This short course is included with Coursera Plus subscription

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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