Python For Data Science And Automation Training Course in Kenya
Introduction
Python has emerged as the most in-demand and versatile programming language powering modern data science, analytics, and automation solutions. The Python for Data Science and Automation Training Course is designed to equip professionals with the technical skills and practical knowledge needed to leverage Python for extracting insights, building predictive models, and automating repetitive business processes. This course blends theoretical foundations with real-world applications using cutting-edge tools and libraries in the Python ecosystem.
Participants will explore hands-on modules on data wrangling, visualization, machine learning, scripting, and process automation. From automating Excel workflows to deploying intelligent scripts for data ingestion, the course delivers high-impact capabilities for professionals seeking to drive data-driven decision-making and streamline operations. By the end of the program, learners will be confident in using Python to automate tasks, analyze complex datasets, and support scalable digital transformation initiatives.
Target Audience
- Data Analysts and Business Intelligence Specialists
- Automation Engineers and Process Optimization Experts
- IT Professionals transitioning into Data Science
- Government and Public Sector Digital Officers
- Research and Policy Analysts
- System Integrators and Technical Consultants
- Decision-Makers Driving Innovation through Data
Course Objectives
- Understand the fundamentals of Python programming for data analysis
- Perform data manipulation using pandas and NumPy libraries
- Create interactive data visualizations using matplotlib and seaborn
- Automate workflows and repetitive tasks with Python scripts
- Implement web scraping and API integration for data sourcing
- Apply machine learning models using scikit-learn
- Develop end-to-end data pipelines for reporting and insights
- Execute Excel, PDF, and email automation using Python
- Ensure clean, structured, and reproducible code practices
- Deploy Python scripts in real-time automation scenarios
Duration
10 Days
Course content
Module 1: Introduction to Python and Its Ecosystem
- Python setup and environment configuration
- Syntax, data types, and control structures
- Working with files and user input/output
- Python IDEs and notebooks for data projects
- Version control and package management
Module 2: Data Structures and Functions in Python
- Lists, dictionaries, tuples, and sets
- Writing reusable functions and lambda expressions
- Looping, conditional logic, and error handling
- Functional programming patterns for efficiency
- Built-in libraries for common utilities
Module 3: Data Analysis with pandas and NumPy
- Series and DataFrame operations
- Data cleaning and missing value treatment
- Data merging, reshaping, and aggregation
- Working with time series and categorical data
- Performance optimization in large datasets
Module 4: Data Visualization and Dashboarding
- Creating static and interactive charts
- Customizing plots using matplotlib
- Seaborn for advanced visual aesthetics
- Plotly and Dash for web-based visualizations
- Data storytelling with visual elements
Module 5: Automating Excel and PDF Workflows
- Reading/writing Excel with openpyxl and pandas
- Automating formulas, formatting, and charts
- Generating reports and tables from raw data
- Parsing and generating PDFs using PyPDF2
- Scheduling batch automation tasks
Module 6: Web Scraping and Data Ingestion
- HTML parsing using BeautifulSoup
- Navigating DOM and extracting structured data
- Automating data collection from websites
- Using Selenium for dynamic content scraping
- API requests and JSON processing
Module 7: Automation with Scripting and Scheduling
- Automating emails, backups, and file management
- Integrating Python with OS-level operations
- Task scheduling using cron and Task Scheduler
- Logging and notifications in automated jobs
- Using Python for process orchestration
Module 8: Introduction to Machine Learning
- Overview of supervised and unsupervised learning
- Preparing datasets for modeling
- Building classification and regression models
- Model evaluation and cross-validation
- Saving and reusing trained models
Module 9: Exploratory Data Analysis (EDA)
- Univariate and multivariate analysis
- Correlation matrices and outlier detection
- Summarizing distributions and patterns
- Profiling datasets with pandas_profiling
- Data-driven hypothesis generation
Module 10: Real-Time Data Processing Techniques
- Reading live data streams using Python
- Connecting to SQL and NoSQL databases
- Consuming API data for analysis
- Event-driven automation scenarios
- Real-time dashboards and alerts
Module 11: Workflow Automation for Business Operations
- Automating financial reports and reconciliations
- Workflow automation in HR and procurement
- Notification bots and alerts for monitoring
- Python integration with enterprise tools
- Building custom automation scripts
Module 12: Best Practices and Project Development
- Structuring Python projects and folders
- Writing clean, scalable, and documented code
- Testing and debugging workflows
- Managing dependencies with virtual environments
- Capstone project and use case presentations
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449
Training Venue
The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.
Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449
Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 10 working days before commencement of the training.
| Dates | Fees | Location | Apply |
|---|---|---|---|
| 07/07/2025 - 18/07/2025 | $3000 | Nairobi, Kenya |
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| 14/07/2025 - 25/07/2025 | $5500 | Johannesburg, South Africa |
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| 14/07/2025 - 25/07/2025 | $3000 | Nairobi, Kenya |
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| 04/08/2025 - 15/08/2025 | $3000 | Nairobi, Kenya |
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| 11/08/2025 - 22/08/2025 | $3500 | Mombasa, Kenya |
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| 18/08/2025 - 29/08/2025 | $3000 | Nairobi, Kenya |
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| 01/09/2025 - 12/09/2025 | $3000 | Nairobi, Kenya |
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| 08/09/2025 - 19/09/2025 | $4500 | Dar es Salaam, Tanzania |
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| 15/09/2025 - 26/09/2025 | $3000 | Nairobi, Kenya |
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| 06/10/2025 - 17/10/2025 | $3000 | Nairobi, Kenya |
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| 13/10/2025 - 24/10/2025 | $4500 | Kigali, Rwanda |
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| 20/10/2025 - 31/10/2025 | $3000 | Nairobi, Kenya |
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| 03/11/2025 - 14/11/2025 | $3000 | Nairobi, Kenya |
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| 10/11/2025 - 21/11/2025 | $3500 | Mombasa, Kenya |
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| 17/11/2025 - 28/11/2025 | $3000 | Nairobi, Kenya |
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| 01/12/2025 - 12/12/2025 | $3000 | Nairobi, Kenya |
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| 08/12/2025 - 19/12/2025 | $3000 | Nairobi, Kenya |
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