Google via Coursera

Fast-Track Data Analysis and Presentations

Name: Fast-Track Data Analysis and Presentations
Rating: 4.9 (25 reviews)

4.925 ratings at Coursera

Compare with others

Overview

Need to crunch data or pull together a presentation? In this course, you’ll design prompts that help you extract insights, understand spreadsheet formulas, and build graphs to visualize data. You'll also explore how to use AI tools to help with speaker notes and practice before your big day, once you’re ready to present your findings.

By the end of this course, you will be able to:

- Develop a responsible prompting practice when entering data into generative AI tools

- Apply the prompting framework to extract insights from data, identify and fix spreadsheet formulas, and explore data visualization

- Understand AI sampling parameters, how they work, and strategies for their use

- Apply the prompting framework to level up your presentation skills

Syllabus 3

Uncover insights from data 30 minutes
In this module, you’ll design prompts and understand strategies that help you extract data insights using AI models.
Understand and visualize your data 20 minutes
You'll learn to understand spreadsheet formulas and build graphs to visualize data.
Build compelling presentations 25 minutes
You'll learn how to use AI tools to help with presentation speaker notes and practice before your big day once you’re ready to present your findings.

Advantages and disadvantages

Advantages

Structured courses with graded quizzes, assignments and deadlines you can reset.
A shareable certificate from the university or company when you pay.
Financial aid is often approved for students in India (apply 15 days before you need it).
From Google, a well-regarded name.
Self-paced: start any time.
A clear syllabus (3 parts) you can see before you start.

Disadvantages

Paid after a 7-day free trial (Coursera Plus or per course).
Some courses can be audited for free, but graded work and certificates need payment.
Short (1 hour): an overview, not deep coverage.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.