Business Intelligence with Python for Data Analysis: Harnessing Analytics for Smarter Decisions Training Course

Introduction

Python has become one of the most powerful programming languages for data analytics and business intelligence (BI), offering professionals the ability to transform complex datasets into actionable insights. With its rich ecosystem of libraries, Python enables advanced data manipulation, visualization, and integration with BI platforms, making it a preferred tool for organizations aiming to gain a competitive edge. This course empowers participants to bridge the gap between technical data analysis and strategic decision-making through Python-based BI solutions.

By combining programming fundamentals, data visualization, and practical BI applications, participants will learn how to extract, process, and analyze data efficiently. The training emphasizes real-world business scenarios where Python is used to create dashboards, automate reporting, and generate meaningful insights that guide strategic growth. Participants will finish the course with both the technical and analytical skills needed to thrive in today’s data-driven business environment.

Duration: 10 Days

Target Audience

  • Business intelligence analysts and developers
  • Data analysts and scientists seeking Python skills
  • Managers and decision-makers interested in BI with Python
  • IT professionals supporting analytics projects
  • Professionals looking to transition into BI and data analytics

10 Objectives

  1. Understand Python’s role in business intelligence and analytics
  2. Learn Python fundamentals relevant to BI
  3. Work with structured and unstructured datasets
  4. Apply Python libraries for data manipulation and analysis
  5. Create interactive and advanced data visualizations
  6. Build Python-based dashboards for BI applications
  7. Automate BI reporting with Python scripts
  8. Integrate Python with databases and BI tools
  9. Apply data storytelling techniques in Python projects
  10. Explore advanced trends in Python for BI and analytics

15 Course Modules

Module 1: Introduction to Business Intelligence with Python

  • Role of Python in BI and analytics
  • Benefits of using Python for business analysis
  • Overview of BI workflows in Python
  • Industry use cases and examples
  • Course structure and learning outcomes

Module 2: Python Basics for BI Professionals

  • Python syntax and data structures
  • Variables, loops, and conditionals
  • Functions and modular programming
  • Error handling basics
  • Setting up the Python environment

Module 3: Working with Data in Python

  • Importing and exporting datasets
  • Handling CSV, Excel, and JSON files
  • Cleaning and structuring data
  • Managing missing and duplicate values
  • Using Pandas for data manipulation

Module 4: Exploratory Data Analysis (EDA)

  • Descriptive statistics in Python
  • Identifying trends and outliers
  • Grouping and aggregating data
  • Data profiling techniques
  • Hands-on case studies

Module 5: Data Visualization with Matplotlib and Seaborn

  • Introduction to visualization libraries
  • Line, bar, and scatter plots
  • Heatmaps and correlation visuals
  • Customizing charts for BI presentations
  • Choosing the right visual for insights

Module 6: Advanced Visualization with Plotly

  • Interactive dashboards with Plotly
  • Building drill-down visuals
  • Geospatial and 3D charts
  • Linking multiple charts together
  • Creating dynamic BI visuals

Module 7: Data Wrangling and Transformation

  • Normalizing and reshaping datasets
  • Merging and joining multiple sources
  • Feature engineering basics
  • Automating repetitive data tasks
  • Best practices in data preparation

Module 8: Working with Databases in Python

  • Connecting Python to SQL databases
  • Querying and fetching data
  • Integrating with relational databases
  • Data pipelines from databases to BI
  • Automating database reporting

Module 9: Business Metrics and KPIs with Python

  • Defining KPIs for different industries
  • Calculating financial and operational metrics
  • Visualizing KPIs in Python dashboards
  • Automating KPI reporting
  • Linking metrics to business strategy

Module 10: Automating Reporting with Python

  • Generating automated Excel reports
  • Creating PDF summaries with visuals
  • Scheduling scripts for reporting
  • Email automation with reports
  • Practical reporting workflows

Module 11: Introduction to Machine Learning in BI

  • Basics of predictive analytics
  • Applying regression for forecasting
  • Classification for customer insights
  • Clustering for segmentation
  • Real-world BI applications of ML

Module 12: Building BI Dashboards with Python

  • Dashboard design principles
  • Using Dash and Streamlit for BI dashboards
  • Creating interactive controls
  • Deploying dashboards for stakeholders
  • Case study in dashboard development

Module 13: Storytelling with Data in Python

  • Framing insights as narratives
  • Combining visuals with explanations
  • Designing Python reports that tell stories
  • Communicating results to executives
  • Case examples of storytelling dashboards

Module 14: Best Practices in Python BI Projects

  • Ensuring accuracy and reliability
  • Maintaining clean code and documentation
  • Collaboration in Python BI projects
  • Version control with Git
  • Testing and validation strategies

Module 15: Future of Python in Business Intelligence

  • AI-powered BI with Python
  • Integration with cloud platforms
  • Real-time analytics pipelines
  • Low-code/no-code Python BI tools
  • Evolving opportunities for BI professionals

CERTIFICATION

  • Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

  • Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

  • Airport Pick Up is provided by the institute. Accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com

For More Details call: +254-114-087-180

 

Business Intelligence With Python For Data Analysis: Harnessing Analytics For Smarter Decisions Training Course in Belarus
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