What we’re about
* What your Meetup Group is about?
The focus of this Meetup group is to foster knowledge in the area of Big data and AI/ML/DL. Our goal is to share and educate people on varied topics within the Big data and Artificial Intelligence space.
* Who should join: Describe your ideal members?
Software Professionals - Anyone curious and interested in learning about Big data and AI/ML/DL.
It would range from people who are just curious George to folks who want to take Big data as profession/career.
Most of the sessions would be Webinar so location should not be a constraint for people to join.
* Why they should join: To learn, share, or have fun
Our passion is to help the world be more informed through these knowledge sharing and education sessions
* What members can expect: Describe typical activities that will foster in-person, face-to-face connections
This group is to foster learning of Big data and Artificial Intelligence technologies.
Upcoming events (4+)
See all- Microsoft Power BI Bootcamp: Transforming Data to DashboardsLink visible for attendees$299.00
Enroll in this training and receive a one-month complimentary e-learning subscription with access to 40+ courses.
This course is provided by Big Data Trunk for Stanford Technology Training Program but a limited few seats available to the public.
Starting Date: Thu May 29,2025
Duration: 2 half daysStudents of this class may have opportunity to be considered for Internship with Big Data Trunk.
This course covers everything from the basics to practical projects. Our hands-on labs ensure you gain real-world experience, and you will leave with the ability to connect to organizational data and create impactful dashboards.
Prerequisites:
- Basic understanding of Databases
Learning Objectives:
- Understand the Power BI ecosystem, including its tools and workflow.
- Extract data from diverse sources such as Excel, CSV, SQL, and the web.
- Master data cleaning and transformation using the Power Query Editor.
- Create reports and visualizations in Power BI Desktop.
- Develop data models with relationships and calculated measures.
- Explore advanced visualizations like maps and custom visuals.
- Utilize filters, slicers, and drill-through options for data exploration.
- Build and format dashboards for effective data storytelling.
- Participate in hands-on project labs to apply your skills.
- Learn about security, app creation, and data connections in Power BI.
Course Outline:
Day-1
Introduction
- What is Power BI?
- What are the Key Tools?
- Typical Workflow
- Power BI Terminology
Extracting Data
- Extracting the data (Excel, .csv, SQL, web)
- Transforming the Data
- Exploring the Power Query Editor
- Applied Steps
- Working With Queries
- Applying Transformations
- Loading Queries
Power BI Desktop Interface
- Report
- Visualizations
- Fields and Filtering
- Formatting and Analytics
Exploring the Data View
- Categorizing Geographical Data
- Formatting Dates
- Controlling Summarization Behavior
Reviewing the Data Model
- What is a Data Model?
- Examine Existing and Creating New Relationships
Measures and Calculated Columns
- Creating Calculated Columns
- Creating simple DAX measures
- Creating a Date Table
- Creating a Dates Table
Day-2
Explore the Visualization Menu
Review a Sample Report
Develop a Report Storyboard
Create and Format Visuals and Pages
- Column and Bar
- Pie
- Adding Pages
- Line
- Matrix
- Formatting Pages
- Maps
- Other Available Visuals
Drill Through Relationships
Using Filters and Slicers
Using Custom Visuals & the Marketplace
- Organizational Visuals
- Additional Page Elements
Create Other Objects in Reports
- Buttons
- Shapes
- Images
- Bookmarks
Publishing the Report
- Establishing a Workspace
- Personal and App Workspaces
Introducing Power BI Service
- App Workspaces
- Create and Format Dashboards
- Get Data
- Update Dashboard
Create and Maintain Apps
- Setting Security
- Finding other Apps
- Connect to organizational data
- Project Labs - ChatGPT for Data Analysis: Advanced Prompt TechniquesLink visible for attendees$299.00
Enroll in this training and receive a one-month complimentary e-learning subscription with access to 40+ courses.
This course is provided by Big Data Trunk for Stanford Technology Training Program but a limited few seats available to the public.
Students of this class may have opportunity to be considered for Internship with Big Data Trunk.
Course Duration: 2 half Day
Learn to design efficient prompts to achieve desired results with fewer steps in data science projects. Develop the ability to comprehend and explain the basic principles of prompt engineering and its relevance in the field of data science.
Prerequisites:
Participants are expected to have basic knowledge of Data Analysis and EDA. Basic programming with Data Science projects is desired but not required
Learning Objectives:
With this course, you will have the opportunity to
Gain skills to employ ChatGPT and other GenAI tools to initiate data science projects
Transform categorical data into numerical form using ChatGPT effectively.
Learn to leverage Google Colab for efficient Python programming and data analysis.
Develop skills in using ChatGPT to prepare and clean data for analysis, simplifying the preprocessing stage.
Gain proficiency in analyzing qualitative data with ChatGPT, extracting valuable interpretations from non-numerical data.Course Outline:
Session 1
- Deriving insights from data
- Working with Google Colab
- Chat GPT Prompt Engineering
- Data Analysis with ChatGPT
Session 2
- Using ChatGPT to prepare data
- Hands-On Data Processing: Applying ChatGPT for Efficient Business Data Prep
- Creating Data Analysis Reports and Communicating with Stakeholders with ChatGPT
