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IBM - Generative AI: Enhance your Data Analytics Career 

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Generative AI: Enhance your Data Analytics Career
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Overview

Objectives and Aims of "Generative AI: Enhance Your Data Analytics Career" Objectives: Gain a comprehensive understanding of Generative AI (Gen AI) and its applications in data analytics. Explore how Gen AI can automate and augment repetitive tasks in the data analytics workflow. Learn how to utilize Gen AI tools and platforms for specific data analysis tasks, such as data cleaning, feature engineering, and data visualization. Develop critical thinking skills to assess the potential benefits and limitation

Duration

13 hours

Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Generative AI: Enhance your Data Analytics Career
 at 
Coursera 
Highlights

  • Earn a certificate from Coursera
  • Add to your LinkedIn profile
  • 7 assignments
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Generative AI: Enhance your Data Analytics Career
 at 
Coursera 
Course details

Skills you will learn
Who should do this course?
  • This course is suitable for both practicing data analysts as well as learners aspiring to start a career in data analytics
What are the course deliverables?
  • Describe how you can use Generative AI tools and techniques in the context of data analytics across industries
  • Implement various data analytic processes such as data preparation, analysis, visualization and storytelling using Generative AI tools
  • Evaluate real-world case studies showcasing the successful application of Generative AI in deriving meaningful insights
  • Analyze the ethical considerations and challenges associated with using Generative AI in data analytics
More about this course
  • This comprehensive course unravels the potential of generative AI in data analytics. The course will provide an in-depth knowledge of the fundamental concepts, models, tools, and generative AI applications regarding the data analytics landscape
  • In this course, you will examine real-world applications and use generative AI to gain data insights using techniques such as prompts, visualization, storytelling, querying and so on
  • In addition, you will understand the ethical implications, considerations, and challenges of using generative AI in data analytics across different industries
  • You will acquire practical experience through hands-on labs where you will leverage generative AI models and tools such as ChatGPT, ChatCSV, Mostly.AI, SQLthroughAI and more
  • Finally, you will apply the concepts learned throughout the course to a data analytics project
  • Also, you will have an opportunity to test your knowledge with practice and graded quizzes and earn a certificate
Read more

Generative AI: Enhance your Data Analytics Career
 at 
Coursera 
Curriculum

Data Analytics and Generative AI

Course Introduction

Generative AI for Data Analytics

Examples of Generative AI in Data Analytics

Demo: Generative AI for Data Generation and Augmentation

Demo: Generative AI for Data Preparation

Demo: Generative AI for Querying Databases

Generative AI for Q and A Model Insights

Successful Implementations of Generative AI for Data Preparation and Insights

Course Syllabus and Prerequisites

Module 1 Summary: Data Analytics and Generative AI

Lesson 1 Practice Quiz: Data Analytics and Generative AI

Lesson 2 Practice Quiz: Generative AI for Data Preparation and Insights

Module 1 Graded Quiz: Data Analytics and Generative AI

Discussion Prompt: Data Analytics and Generative AI

Helpful Tips for Course Completion

Reading: Generative AI Tools for Data Analytics

Reading: Case Study on Successful Implementations of Generative AI in Data Analytics

Hands-on Lab: Explore a Simple Generative Tool

Reading: Leveraging Generative AI in Data Analytics Process

Hands-on Lab: Generative AI for Data Generation and Augmentation

Hands-on Lab: Generative AI for Data Preparation

Hands-on Lab: Generative AI for Querying Databases

Hands-on Lab: Generative AI for Q and A

Reading: Using Microsoft Copilot

Module 1 Cheatsheet: Data Analytics and Generative AI

Use of Generative AI for Data Analytics

Demo: Generative AI for Data Insights

Demo: Generative AI for Data Visualization

Generative AI for Creating Dashboards

Generative AI for Storytelling

Successful Implementation of Generative AI for Data Visualization and Storytelling

Considerations While Using Generative AI in Industries

Challenges While Using Generative AI

Module 2 Summary: Generative AI for data visualization and storytelling

Lesson 1 Practice Quiz: Generative AI for Data Visualization and Storytelling

Lesson 2 Practice Quiz: Generative AI Considerations for Data Professionals

Module 2 Graded Quiz: Use of Generative AI for Data Analytics

Hands-on Lab: Generative AI for Data Insights

Hands-on Lab: Considerations for Data Professionals using Gen AI

Dashboarding and Storytelling with Generative AI

Hands-on Lab: Generative AI for Data Visualization

Hands-on Lab: Generative AI for Creating Dashboards

Hands-on Lab: Generative AI for Storytelling

Reading: Responsible Generative AI for Data Professionals

Case Study: Considerations While Using Generative AI in Healthcare

Module 2 Cheatsheet: Use of Generative AI for Data Analytics

Final Project and Exam

Enhancing Your Data Analyst Career with Generative AI

Congratulations and Next Steps

Thanks from the Course Team

Final Exam

Hands-on Lab: Guided Practice Project

Alternative Lab Environment for Guided Practice Project

Reading: Guided Practice Project Overview

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Generative AI: Enhance your Data Analytics Career
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Coursera 

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