ThoughtSpot-Based BI Analytics

This course is designed to empower you to break through that noise. Using ThoughtSpot, one of the most intuitive and powerful data analytics platforms, you will learn how to turn complex data into clear, actionable insights.

Data Science | core | 2 hours |   Published: Feb 2025
In partnership with: Coursera

Overview

1kSTUDENTS*
97.9%RECOMMEND*

This course includes:

  • 2 hours of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

Imagine you're in a business meeting, and the company’s future strategies hinge on the analysis of last quarter's sales data. The traditional dashboards don’t give you the quick insights needed, and as the discussion heats up, you're left searching through spreadsheets, unable to make the data speak to the issues at hand. This is a scenario many professionals face—drowning in data but struggling to find actionable insights. This course is designed to empower you to break through that noise. Using ThoughtSpot, one of the most intuitive and powerful data analytics platforms, you will learn how to turn complex data into clear, actionable insights. With interactive dashboards, AI-powered analytics, and real-world applications, you'll gain the confidence to make data-driven decisions—whether you're in the boardroom or managing day-to-day operations. What makes this course unique is its hands-on approach. Through real-world examples and engaging exercises, you'll master data visualization, predictive analytics, and business optimization strategies. By the end, you won’t just know how to navigate ThoughtSpot; you’ll be able to transform raw data into strategic intelligence that drives success in your role. Whether you're a beginner or someone looking to advance your BI skills, this course offers the tools, knowledge, and confidence you need to succeed in today’s data-driven world. Get ready to take control of your data and unlock insights that will shape the future of your business. 

Skills You Will Gain

ThoughtSpot
Analytics
Data-Driven Decision Making
Business optimization
Data Visualization
Analytical insights

Learning Outcomes (At the end of this program you will be able to)

  • Analyze the functionalities of ThoughtSpot and synthesize key concepts of business intelligence (BI), data analysis, and strategic business planning. 
  • Design and implement effective data visualizations to enhance reporting capabilities. 
  • Evaluate data-driven insights to enhance decision-making processes and formulate predictive analytics strategies. 
  • Optimize BI performance and articulate data insights to improve stakeholder communication. 

Prerequisites

Basic understanding of business intelligence concepts, Familiarity with data analysis techniques, Basic knowledge of database management, Basic understanding of cloud computing, Familiarity with AI and machine learning concepts, and understanding of data visualization basics. 

Who Should Attend

Data Analysts, Business Intelligence (BI) Professionals, Data Science Students, Decision-Makers and Executives, IT and Data Engineers, Marketing Analysts, Financial Analysts, and Operations Managers. 

Curriculum

1Module 1: Introduction to BI Analytics with ThoughtSpot

Segment 01 - Introduction to the Course & Meet Your Instructor

Segment 02 - Understanding BI Analytics

Segment 03 - Strategic Business Planning

Segment 04 - Introduction to ThoughtSpot

2Module 2: Advanced BI Analytics Strategies

Segment 05 - Data Visualization and Interactive Dashboards Creation

Segment 06 - Optimizing BI Analytics Performance

Segment 07 - Data Governance in ThoughtSpot

3Module 3: Practical Applications of BI Analytics

Segment 08 - Predictive Analytics with ThoughtSpot

Segment 09 - Reporting Best Practices

Segment 10 - Case Study: Financial Performance

Segment 11 - Congratulations and Continuous Learning Journey

Instructors

Soheil Haddadi

Soheil Haddadi

Soheil is a Postdoctoral Researcher with a strong academic foundation in Control and Automation Systems Engineering, specializing in Artificial Intelligence. His expertise spans across Data Science, Machine Learning, LLMs, Deep Learning, Natural Language Processing (NLP), and Robotics. Soheil has successfully applied his skills in both industry and research environments, contributing to advancements in AI.

Currently, as a Postdoctoral Researcher, Soheil is dedicated to pushing the boundaries of AI. His technical proficiency in Python, SQL, TensorFlow, and Keras, combined with a deep understanding of AI methodologies, has enabled him to deliver innovative solutions and insights. His prior work includes leading diverse projects such as sales forecasting using time series and LSTM neural networks, autonomous indoor navigation for quadrotors using ORB-SLAM, and deep learning-based credit scoring in the banking sector.

Soheil’s experience in data analysis and visualization further enhances his comprehensive understanding of how AI can address complex problems and create tangible value. His contributions are a testament to his dedication to advancing AI research and its real-world applications.

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