Data Science for Business Intelligence

This DIXONTECH course bridges data science and business intelligence (BI) to empower professionals with the analytical and technical skills to make data-driven decisions. Participants will learn how to extract, analyze, and visualize data using Python, Power BI, and machine learning techniques. The course emphasizes transforming complex data into meaningful insights that support organizational performance and strategic intelligence.

TRAINING TOPICS:

• Introduction to Data Science and Business Intelligence

• Data Preparation and Analytical Frameworks

• Business Intelligence Analytics with Power BI and Python

• Machine Learning Applications for BI

• Strategic Decision-Making with Data Insights

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

By the end of this DIXONTECH training, participants will:

• Understand how data science enhances business intelligence

• Prepare and analyze complex datasets effectively

• Build interactive dashboards and data visualizations

• Apply machine learning techniques for BI forecasting

• Automate and optimize data reporting processes

• Interpret and communicate analytical results to stakeholders

• Support strategic decision-making with predictive insights

TRAINING IS TAILORED TO:

This course is designed for:

• Business intelligence professionals and data analysts

• Managers and executives using analytics for strategy

• Financial and marketing professionals

• IT and data management teams

• Business consultants and decision-makers

• Data engineers and visualization specialists

• Professionals aiming to enhance BI with data science

TRAINING METHODOLOGY:

DIXONTECH applies a blended learning model combining data labs, interactive workshops, and real-world BI projects. Participants engage in step-by-step exercises using Power BI, Python, and Excel, applying machine learning and visualization to real business scenarios. The approach ensures both analytical depth and practical skill development for immediate application.

DAY 1: Introduction to Data Science and Business Intelligence

• Understanding the relationship between data science and BI

• Overview of data-driven business ecosystems

• BI and analytics architecture in organizations

• Data types, sources, and data governance

• Role of data science in BI strategy

• Key tools and platforms for business analytics

• Aligning BI processes with strategic objectives

DAY 2: Data Preparation and Analytical Frameworks

• Data extraction, transformation, and loading (ETL)

• Cleaning and validating business data

• Data modeling and relational structures

• Exploratory analysis and feature engineering

• Managing structured and unstructured data

• Python and Power BI for data preprocessing

• Case study: preparing enterprise data for analysis

DAY 3: Business Intelligence Analytics with Power BI and Python

• Designing business analytics workflows

• Creating interactive dashboards in Power BI

• Building Python-based analytical models

• Integrating BI dashboards with predictive analytics

• Using DAX and Python scripts for automation

• Visualization techniques for executive reporting

• Case study: performance analytics for management teams

DAY 4: Machine Learning Applications for BI

• Applying machine learning in business intelligence

• Regression and classification for forecasting

• Clustering and segmentation for market insights

• Time-series forecasting and trend analysis

• Evaluating model accuracy and interpretability

• Automating predictions inside BI dashboards

• Case exercise: predicting customer churn with BI data

DAY 5: Strategic Decision-Making with Data Insights

• Translating analytics into business recommendations

• Building data-driven decision frameworks

• Integrating predictive analytics with corporate KPIs

• Presenting insights through storytelling and visualization

• Course Schedule

  Discounts and Registration

  Group & Corporate Discounts:
  Available for companies enrolling multiple participants to help maximize ROI.
  Individual Discounts:
  Offered to self-sponsored participants who pay in full and upfront.
  Registration Process:
  Corporate nominations must go through the client’s HR or Training department.
  Self-nominations must be prepaid via the “payment by self” option.
  Confirmation:
  All registrations are subject to DIXONTECH’s approval and seat availability.
  Refunds:
  Provided in case of course cancellation or no seat availability.
  Tax Responsibility:
  Clients are responsible for any local taxes in their country.