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We're here to help you find itThe "Data Visualization using Python Packages" course is designed to equip learners with the skills to create compelling, informative visuals from data using popular Python libraries. Data visualization is essential for interpreting complex data and communicating findings effectively.
Module 1: NumPy package lays the foundation with array manipulation, enabling learners to handle multi-dimensional data structures. Module 2: Pandas introduces data manipulation and cleaning, which are crucial for preparing datasets for visualization.
Module 3: Matplotlib dives into creating basic to advanced plots, from line plots to histograms, and teaches how to customize and save visualizations. Module 4: Seaborn enhances the course by introducing statistical plotting capabilities for more sophisticated visuals.
Finally, Module 5: Plotly and Cufflinks offers an interactive charting experience, allowing for dynamic, web-based visualizations. Throughout the course, learners will gain proficiency in data science, visualization techniques, and the ability to present data insights effectively. This course is ideal for those looking to enhance their data analysis and data visualization skills.
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Classroom Training price is on request
♱ Excluding VAT/GST
Classroom Training price is on request
To ensure that students can successfully undertake training in the Data Visualization using Python packages course, the following minimum prerequisites are recommended:
While prior experience with data analysis or visualization is not strictly necessary, it can enhance the learning experience. This course is designed to be accessible to beginners with a general background in Python programming.
Learn to visualize data with Python's top libraries—NumPy, Pandas, Matplotlib, Seaborn, Plotly, and Cufflinks—for insightful analytics.
This course is designed to empower students with the skills needed to create compelling data visualizations using Python. It covers key Python packages such as NumPy, Pandas, Matplotlib, Seaborn, and Plotly with Cufflinks.
