Data Visualization with Python
Learn how to create compelling, interactive, and insightful Data visualizations using Python.
2025 Intake is Ongoing
Part-time Remote
Start Date:
2025 Intake is Ongoing
Course Duration:
13 Weeks
Mode of Learning:
Part Time & Online, Evening Classes | Mon - Fri 6 pm - 9 pm E.A.T
Tuition Fee:
Ksh 55,000
Learn Data Visualization and Python for Data from scratch.
In today’s data-driven world, the ability to present data in a clear, impactful way is an essential skill. This 12-week Data Visualization with Python course equips you with the tools and techniques needed to turn raw data into meaningful, actionable insights. This is a good foundational course for data enthusiasts and professionals. By the end of the course, learners will have a solid foundational understanding of Python programming for Data Visualization with practical experience to land opportunities in Data.
Course Details
Data visualization is the process of creating graphical representations of data using Python, a versatile programming language. This technique helps transform raw, complex datasets into visual formats like charts, graphs, and dashboards, making it easier to interpret trends, patterns, and insights. By upskilling in Python for data visualization, professionals can create both simple and highly complex graphics, ranging from basic bar charts to interactive dashboards.
This course is designed for aspiring Data Analysts and Data Scientists interested in learning story-telling and data visualization.
- Are you interested in learning Python basics for data science, data visualizations or building data dashboards?
- Are you interested in the rapidly expanding world of data science?
Then you are fit for this course. Sign up and start learning.
- Have a basic understanding of math & statistics and computer skills
- Have a university/college education (ongoing or graduated).
- Have a laptop with the following specs (core i5 – core i7, 8GB RAM, 500GB storage).
- Have access to stable internet
- Basic understanding of programming (nice to have)
- High Demand for Specialists: Companies dealing with Big Data actively seek professionals who can turn complex data into clear, actionable insights.
- Crucial for Communication: Data visualization helps you present information effectively, making complex data understandable to coworkers, clients, or customers.
- Versatility Across Professions: Whether in finance, marketing, healthcare, or analytics, strong visualization skills are essential for interpreting and sharing data.
- Better Decision-Making: Visualization makes it easier for stakeholders to grasp key insights, leading to faster, more informed business decisions.
- Competitive Advantage: In a data-driven world, mastering visualization techniques gives you an edge, making you more valuable in today’s job market.
If you are in search of a unique learning experience this is the place for you. We guarantee you will learn market-aligned skills through our practical and comprehensive curriculum.
- Project-based learning
- Access to large data sets & real-world business case studies
- Technical Mentor Support & Live instructor classes
- Access to a global community of learners all over Africa
- Career Guidance
Unlock the Power of Data: Master Data Visualization with Python
Apply HereCourse Overview
To gain access to the world of freely available data, we must learn it’s language. No prior coding experience is expected for this course. We’ll start with the bare basics and work our way up from there.
Now that we’ve gained some understanding of the basic building blocks of python, let’s use them to solve beginner computational thinking challenges.
This will be an opportunity to review basic statistics concepts through continued python practice.
Identify use cases for various visualizations (Scatter Plots, Bar Graphs, Histograms, etc.) and utilize our budding python skills to create simple visualizations
Introduce Pandas DataFrames and learn how to import data and explore various statistics with simple commands.
Students will work in teams to support each other in the development of their first python visualization project. Students will be expected to prepare a presentation on the insights derived from the visualizations they created.
Common Data Manipulation Techniques.Build up from the basics of Pandas to develop skills isolating data of interest by grouping, sorting, filtering, etc.
Common Data Cleaning Techniques. Understand the challenges associated with missing data and implement methods of dealing with them.
Learn about what an API is and how you can connect to them to access publicly available data to merge with your existing dataset.
Data Visualization skills enhance clarity by making complex data easier to understand and uncover hidden trends and patterns. Start Learning Today!
Career Opportunities
Data Analysts use Python to gather, clean, and visualize data, helping organizations interpret data trends and make strategic decisions. They play a key role in business intelligence and reporting.
Marketing Analysts leverage data visualization to track campaign performance, audience engagement, and market trends, allowing businesses to optimize their marketing strategies.
In finance, data visualization is key for presenting financial data, forecasting trends, and helping stakeholders understand complex economic metrics through Python-powered charts and graphs.
Healthcare Data Analysts use data visualization to track patient outcomes, resource allocation, and public health trends, providing critical insights for healthcare providers and policymakers.
Product Managers rely on data visualizations to track product performance, user behavior, and market trends. They use these insights to make data-driven decisions about product strategy and roadmaps.
Data visualization consultants help businesses solve problems by presenting data insights. They often work across various industries, using Python to create custom visualizations tailored to specific business needs.
Ready to take a step in transforming your career?
