Data Visualization using Python: Basics to Advanced
Embark on a Python and Data Visualization learning adventure. Acquire fundamental Python skills, delve into advanced topics like OOP and data manipulation, and experiment with dynamic visualizations. Conclude with hands-on data visualization projects, receive expert guidance, and engage in discussions about the future of data visualization.
Course Overview
Embark on an exciting journey into Python Data Visualization with our comprehensive course. Commence by acquiring foundational Python skills, delving into syntax, and understanding data types. Explore the dynamic Python landscape, mastering visualizations using libraries like Matplotlib, Seaborn, and Plotly. Progress to advanced topics, including data manipulation with Pandas. The course's focal point is creating vivid visualizations, laying a robust foundation for the future of Python-centric data representation. Whether you're a novice or possess some coding experience, join us for an interactive exploration of Python's visualization libraries, turning data into impactful visuals. Let's kick off your exciting journey into the realm of Python Data Visualization.
Duration
3 Months
Level
01
Who is it for
Perfect for aspiring enthusiasts, this course encompasses fundamental Python skills, advanced concepts, and applications in data visualizations, establishing solid foundation for comprehensive data exploration.
To Apply you’ll need
Basic computer skills are essential.
Understanding of internet fundamentals is required.
Access to a computer and internet connection.
Interest in learning Python and data science.
Enthusiasm for exploring the digital world.
Qualifications Recieved
An intermediate degree is beneficial. Enthusiasm for data science and artificial intelligence is the primary requirement, making the course accessible to learners with varied educational backgrounds.
Course Journey
Three Modules
4 Weeks each
Assessments
Every Week
Career counselling
Two Lectures
Final Assessment
In the middle and end of the course
MODULE 1
Foundations of Python Programming
Embark on a comprehensive introduction to Python programming, exploring its diverse applications across various domains. Begin by understanding the role and significance of Python, delving into its ecosystem and vibrant community. Follow a step-by-step guide to install Python and set up a development environment. Grasp fundamental Python syntax and basic programming concepts, including variables, data types, and essential operations. This foundational group lays the groundwork for a solid understanding of Python and its applications
DURATION
4 Weeks
MODULE 2
Data Manipulation and Visualization
Building upon the Python foundation, delve into data manipulation and visualization techniques. Explore variables, data types, and basic operations in Python, and extend your capabilities with GitHub. Dive into Pandas for efficient data handling and cleaning, introducing various types of visualizations such as charts. Gain insights into Excel, Python, Tableau, and PowerBI, and explore Matplotlib for creating bar charts, histograms, pie charts, box plots, and more. Learn specialized plots with Seaborn and delve into interactive chart creation using Plotly. The group concludes with participants presenting individual and group projects showcasing their newfound skills.
DURATION
4 Weeks
MODULE 3
Advanced Data Visualization and Future Trends
Transition into advanced data visualization, exploring a plethora of tools and techniques. Cover 3D plots, bubble charts, surface plots in Matplotlib, and specialized techniques in Seaborn. Dive into interactive charts with Plotly and explore advanced visualization tools like Bokeh, Altair, ggplot (plotnine), and Dash. Uncover the power of network graphs with NetworkX, and experiment with various libraries like Folium, Holoviews, WordCloud, Mayavi, and Geopandas. Conclude with showcase projects and discussions on the future of data visualizations, addressing participant questions and presenting final projects.