Global Nexus Institute

Professional Data Analytics & GenAI

This 6-week Professional Data Analytics & AI program offers a comprehensive curriculum combining foundational skills and practical applications. Participants will ... Show more
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Professional Data Analytics & GenAI

Tools: Excel with Power Query, Python, Power BI, Generative AI

This program is designed to equip learners with professional skills in data analytics and AI. Through hands-on exercises, projects, and practical tools, participants will gain the ability to clean, analyze, visualize, and interpret data effectively while leveraging Generative AI for enhanced insights.

Week 1: Excel Foundations
Excel interface, data types, formatting, shortcuts | 2. Data cleaning basics: removing duplicates, blanks, errors, validation | Assignment: Clean a messy HR dataset

Week 2: Excel and Power Query
Pivot Tables and Data Summarization | 2. Power Query basics: importing, transforming, and cleaning data | Assignment: Build a dashboard showing sales and profit analysis

Week 3: Power BI Foundations
Power BI setup and interface overview | 2. Power Query in Power BI: connecting and cleaning data | Assignment: Design and submit a simple Power BI report

Week 4 & 5 : Power BI Dashboards
Building data relationships and calculated fields with DAX | 2. Creating dynamic dashboards with slicers, KPIs, and visuals | Assignment: Build a professional Power BI dashboard

Week 6: Capstone Project
Capstone guidance: planning, execution, and presentation | 2. Integration of Excel, or Kobotoolbox with Power BI, and AI into one project | Capstone Assignment: Develop and submit a complete analytics solution

Week 1: Excel Foundations
Week 2: Excel and Power Query
Week 3: Power BI Foundations
Week 4: Power BI Dashboards
What tools are covered in the Data Analytics & AI program?
The program covers Excel with Power Query, Power BI, and Generative AI tools like ChatGPT and Copilot.
How is the program structured and what is the duration?
The program lasts 6 weeks, with 2 sessions weekly, including weekly assignments to reinforce learning.
What practical skills will I gain from this program?
You will learn data cleaning, analysis, visualization with Excel, building Power BI dashboards, and applying Generative AI in analytics.
Is there a capstone project included in the program?
Yes, in the final week, you'll work on a capstone project, guided on how to analyze data and present insights using learned tools.
How long should I expect to spend on this program weekly?
You should plan to dedicate 10-12 hours per week, including sessions that may take around 4 hours. This allows enough time for learning, practice, and review to ensure progress.

Data Analytics & AI Program Announcement

Join our 10-week Data Analytics & AI Program designed to develop professional skills in data analysis, visualization, and artificial intelligence. This comprehensive course combines Excel, Python, Power BI, and Generative AI tools through interactive sessions, hands-on projects, and assignments. Enhance your ability to clean, analyze, and visualize data effectively while leveraging the latest AI capabilities for insightful decision-making. Enroll now to advance your data expertise and stay competitive in today's data-driven world.

Bring your willingness and eager to learn. 

Course details
Duration 6 Weeks
Lectures 29
Video 10 hours
Assignments 4
Quizzes 4
Level Intermediate
3 months
Laptop, Desktop, Smart and Tablet
Basic info
  • Course Title: Data Analytics & AI Program
  • Duration: 6 Weeks
  • Format: 2 Sessions per Week + Weekly Assignments
  • Tools Covered: Excel with Power Query, Power BI, Generative AI
Course requirements
  • Basic computer literacy and familiarity with Windows
  • Access to a computer with internet connectivity
  • No prior coding experience required, but willingness to learn programming
  • Interest in data analysis, visualization, and AI applications
Intended audience
  • Aspiring data analysts and business analysts
  • Students and professionals seeking to upskill in Data Analytics and AI
  • Team members involved in data-driven decision making
  • Anyone interested in learning modern data tools and techniques