Training on Quantitative Data Management Analysis and Visualization with Python
Gain hands-on skills in quantitative data management, analysis, and visualization using Python.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This comprehensive course will be your guide to learning how to use the power of Python to analyze big data, create beautiful visualizations, and use powerful machine learning algorithms. This course is designed for both beginners with basic programming experience or experienced developers looking to make the jump to Data Science and big data Analysis.
Duration
5 Days
Who Should Attend
- Data Analysts
- Business Analysts
- Data Scientists
- Research Analysts
- Financial Analysts
- Statisticians
- Data Engineers
- Market Researchers
- Academics and Researchers
- Professionals in data-driven decision-making roles
What you'll walk away with
By the end of this course, participants will be able to:
-
Manage and clean large datasets using Python libraries
-
Conduct quantitative data analysis with confidence
-
Apply basic and advanced statistical methods
-
Create meaningful visualizations for data storytelling
-
Automate repetitive data tasks and generate analytical reports
What we cover, module by module
Module 1: Introduction to Python for Data Management
- Overview of Python programming for data management
- Key Python libraries for data analysis (Pandas, NumPy)
- Data import and export techniques
- Data cleaning and preprocessing
- Case Study: Import and clean a dataset, performing initial exploratory analysis using Python.
Module 2: Advanced Data Analysis Techniques
- Statistical analysis using Python
- Implementing descriptive and inferential statistics
- Advanced data manipulation with Pandas
- Time series analysis and forecasting
- Case Study: Analyze a financial dataset to identify trends and forecast future values.
Module 3: Data Visualization with Python
- Creating visualizations using Matplotlib and Seaborn
- Designing and customizing charts and graphs
- Visualizing complex data relationships
- Interactive data visualizations with Plotly
- Case Study: Develop a series of interactive visualizations to present key insights from a market research dataset.
Module 4: Quantitative Data Analysis
- Regression analysis and predictive modeling
- Performing hypothesis testing and significance analysis
- Using machine learning algorithms for quantitative data
- Model evaluation and validation techniques
- Case Study: Build and validate a regression model to predict customer behavior based on historical data.
Module 5: Integrating Data Analysis and Reporting
- Automating reports and dashboards with Python
- Integrating Python analysis with business intelligence tools
- Generating comprehensive reports and summaries
- Presenting data-driven insights effectively
- Case Study: Create a detailed report and dashboard that summarizes the results of a comprehensive data analysis project, integrating Python with visualization tools.
Where the change lands
Organizational Impacts
- Enhanced ability to manage and analyze large datasets
- Improved data visualization capabilities for better decision-making
- Streamlined data management processes
- Increased efficiency in generating actionable insights from data
- Better alignment of data analysis with business objectives
- Strengthened analytical skills within the organization
- More accurate forecasting and trend analysis
Personal Impacts
- Advanced skills in Python for data management and analysis
- Increased proficiency in data visualization techniques
- Improved ability to handle and interpret complex datasets
- Enhanced job market competitiveness with Python expertise
- Greater confidence in applying quantitative methods to real-world problems
- Expanded knowledge in statistical analysis and data-driven decision-making
- Increased productivity through efficient data handling and analysis
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
Find the right course for you
Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on Quantitative Data Management Analysis and Visualization with Python in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.