Data Visualization with Python
An introductory course for aspiring Data Scientists or for those who want to create interactive and insightful visualizations using Python and Tableau.
2025 Intake is Ongoing
Part-time Remote
Start Date:
May 26th,2025
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 course equips you with the tools and techniques needed to turn raw data into meaningful, actionable insights. This is a good foundational course for aspiring Data Scientists.
By the end of the course, learners will have an understanding of Python for Data Visualization and Analytics basics.
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 Scientists interested in learning data story-telling and data visualization with python
- Are you interested in learning Python basics for data science, data visualizations or building data dashboards?
- Are you interested in learning Data Science?
Then you are fit for this course.
- 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 Story Telling
Apply HereCurriculum Overview
- Fundamentals of Python programming for Data Science
- Python Loops & Functions
- No prior coding experience is required
- Basic statistics with python
- How to visualize data with Python
- Scatter Plots, Bar Graphs, Histograms
- Intro to Pandas
- Building Data Frames
- Data Analysis with Python
- Students will work in teams to support each other in the development of their first Python visualization project.
- You will be expected to prepare a project presentation.
- Common Data Manipulation Techniques
- Common Data Cleaning Techinques
- What is an API?
- Using API to merge datasets
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Students will take an approved dataset of their choosing and enrich it by merging it with externally sourced data. Using this enriched dataset, students will prepare a full visual analysis presentation exploring the features of the data and presenting valuable insights.
Data Visualization skills enhance clarity by making complex data easy to understand & uncovering insights. 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 bold step?
