Generative AI: Enhance your Data Analytics Career Free Course
Introduction
This course explores some of the best ways to use generative AI in data analytics. The students will have a good understanding of all the essential concepts included in generative AI, such as AI models, terms, models, etc. Moreover, to better understand these concepts, the students will also participate in assignments to gain hands-on experience.
The course concludes with an exam, in which the student is assessed on the basis of the generated prompts, data visualization, storytelling skills, and other concepts. Moreover, the participant will explore the limitations of generative AI in real life, ethical issues that can occur, and other challenges that can hinder its use in real life.
What Will You Gain from This Course?
This course equips the student with the skills and knowledge to leverage generative AI for data analysis. After completing this course, the students will:
- Have an in-depth understanding of generative AI tools and their use.
- Be able to use AI tools and techniques for data analytics.
- Gain hands-on data analytics experience across all niches and industries.
- Get familiar with different data analytics processes.
- Implement data analytics process, i.e., data preparation, analysis, and visualization.
- Leverage generative AI tools to enhance storytelling skills and automate tasks.
- Be able to use generative AI to derive meaningful insights.
- Get to analyze ethical considerations in generative AI.
- Be able to understand the challenges in generative AI.
The participants will earn a shareable career certificate as a validation of the newly acquired skills in data analytics.
Skills Acquired:
- Data Analysis
- Data Preparation
- Data Analysis
- Storytelling
- Data Visualization
- Querying Databases
- Data Generation
- Generative AI
- ChatGPT
- ChatCSV
- Mostly.AI
- SQLthroughAI
- Data Augmenting
Who Can Benefit From This Course?
This course is designed for:
- Intermediate learners with a keen interest in generative AI.
- Individuals looking for ways to learn data analysis at their own pace.
- People interested in AI, machine learning, and data analysis.
- Beginners who are trying to explore the benefits of generative AI.
- Social media experts looking for ways to use generative AI for business.
- Marketing enthusiast exploring ways to gain insights into data generation.
- People interested in concepts like data preparation, querying databases, and conversation models.
Course Content
3 Modules – 16 Videos – 5 Readings – 7 Assignments – 6 App Items – 2 Discussion Prompts – 17 Plugins –Certificate of Completion
Data Analytics and Generative AI
This module offers a basic introduction to Generative AI for Data Analytics. The students will learn about different ways to utilize generative AI for data analytics. They will be introduced to some of the popular generative AI tools that are used for data analytics and insights.
With the help of these generative AI, learners will also get to experiment with different implementations and then identify the most successful prompt. Since this is a foundational course, it does not just stop at the introduction.
It also offers an in-depth exploration of different topics that are essential for understanding generative AI. Participants will learn about automating simple data analysis tasks like data generation, augmentation, data preparation, querying databases, and acquiring information via Q&A models.
- 8 - Videos
- 2 - Readings
- 3 - Assignments
- 1 - App Item
- 1 - Discussion Prompt
- 10 - Plugins
Use of Generative AI for Data Analytics
This module offers in-depth information about the skills and knowledge needed to effectively use generative AI. By the end of this module, students will be able to master skills like insight generation, data visualization, data representation, interactive dashboard development, data analytics pipeline, and leveraging generative AI tools.
This module goes beyond theory-based information and includes three assignments for hands-on experience. The participants will explore the importance of ethical practices in generative AI, its use, limitations, and potential ethical concerns. Moreover, students will get to find and use different ways to automate data analytics tasks with the use of generative AI tools
- 7 - Videos
- 1 - Reading
- 3 - Assignments
- 3 - App Items
- 1 - Discussion Prompt
- 6 - Plugins
Final Project and Exam
This module is all about a guided practice project. Just like any course or degree in university, this module requires the student to do a project to put all the newly learned skills to use. Within this project, the students will use any real-world data set of their liking and then use generative AI to develop Python code for all the concepts learned in the prior two modules. Some of the tasks that participants will get to perform include data preparation, analysis, visualization, and dashboarding.
This is a graded exam project where the student will be evaluated based on their understanding of generative AI. The student will earn a certificate only after completing this module, so it is very important.
- 1 - Video
- 2 - Readings
- 1 - Assignment
- 2 - App Items
- 1 - Plugin
Description
Data analytics is generally done manually, and it takes a lot of time and effort. In the world of AI where nearly every task can be automated, now anyone can automate data analytics tasks with the use of AI. “Generative AI: Enhance your Data Analytics Career” is a three-module course that will 14 hours for competition.
Although this course offers an in-depth understanding of different tasks that a data analytics expert performs, it is not beginner-friendly. The students are expected to have an understanding of basic tasks like data visualization, storytelling, querying, and so on.
This course focuses on the practical use of different generative AI tools models and popular software like ChatGPT, ChatCSV, Mostly.AI, and SQLthroughAI. By the end of this course, the students will gain a better understanding of the real-life use of generative AI within the data analytics landscape.
The assignment part of this course offers an opportunity to apply the concepts learned throughout the course to a data analytics project. From a real-world perspective, the students are also taught about the limitations of these tools.
This free course offers an ideal opportunity for learning the essential concepts and then putting them to practical use. By the end of this course, the participants will have a much better understanding of analytics, prompt engineering, Python programming, and generative artificial intelligence.
Meet the Instructor
Dr. Pooja - Instructor and Subject Matter Expert – IBM
This course is a joint project between IBM and Coursera and is taught by Dr. Pooja. Dr. Pooja is a competent Python expert with a keen interest in data visualization. Her extensive background spans nearly 20 years in education, computer science, and engineering. Throughout her distinguished career, she has inspired many people with her work, especially in the field of Artificial Intelligence and Machine Learning using Python.
Leveraging her expertise, Dr. Pooja has developed several courses and even conducted hands-on training sessions in AI and machine learning. She is also the author of the globally recognized book "Data Visualization with Python," where she shares her knowledge to make data visualization using Python accessible to all. The course will introduce you to some of the most popular libraries for creating interactive visualizations, including Matplotlib, Seaborn, and Bokeh.