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Program overview
Online
On-site
Hybrid
Data Visualization with Matplotlib & Seaborn
Build a strong foundation in data visualization using Python by mastering Matplotlib and Seaborn for exploratory and analytical insights. Learn how to create customized, time series, and interactive visualizations using real world datasets to effectively analyze patterns and communicate insights.
Duration:
5 Days
Level:
Intermediate
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1500+ users onboarded
Who will Benefit from this Training?
Training Objectives
Build a high-performing, job-ready tech team.
Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut
Key training modules
Comprehensive, hands-on modules designed to take you from basics to advanced concepts
Download Curriculum
- Visualization Foundations
- Apply visualization foundations in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Matplotlib Basics
- Apply matplotlib basics in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Core Plot Types
- Apply core plot types in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Customization and Subplots
- Apply customization and subplots in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Seaborn Distributions and Categoricals
- Apply seaborn distributions and categoricals in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Regression Plots and Heatmaps
- Apply regression plots and heatmaps in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Time-Series Plots
- Apply time-series plots in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Styling
- Apply styling in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Plotly Interactivity Intro
- Apply plotly interactivity intro in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Dashboards and Storytelling
- Apply dashboards and storytelling in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Projects and Best Practices
- Apply projects and best practices in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
Hands-on Experience with Tools
Training Delivery Format
Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
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100% Live
on-site/online training
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Hands-on
Labs and capstone projects
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Lifetime Access
to training material and sessions
Skill-Gap Assessment
Analysing skill gap and assessing business requirements to craft a unique program
1
Personalisation
Customising curriculum and projects to prepare your team for challenges within your industry
2
Implementation
Supplementing training with consulting support to ensure implementation in real projects
3
Why this course
- Enhanced Decision Making: With Matplotlib & Seaborn, you can create intuitive charts and graphs that empower decision-makers to quickly extract valuable insights from data. This, in turn, facilitates data-driven decision-making.
- Exploratory Data Analysis: Data visualization with Matplotlib & Seaborn provides an excellent platform for exploratory data analysis (EDA). EDA allows you to interactively explore datasets, identify relationships between variables, and uncover hidden patterns.
- Efficient Reporting: Automated data visualization can streamline the reporting process, saving valuable time for your team and allowing them to focus on analysis and strategic actions.
Training objectives
- Understand the importance of data visualization and its role in the data analysis process.
- Gain proficiency in using Matplotlib to create a wide range of static and interactive visualizations.
- Learn to utilize Seaborn to create visually appealing statistical graphics with less code.
- Discover advanced customization techniques for both Matplotlib and Seaborn.
- Explore how data visualization can facilitate data analysis and insight generation.
- Understand the specific challenges of visualizing time-series data and learn to create effective line plots, area plots, and heatmaps to analyze temporal trends and patterns.
- Explore interactive data visualization using libraries like Plotly and Seaborn.
- Apply the learned skills to real-world datasets and tackle practical data visualization challenges.
Who will benefit
- Data Analysts
- Data Scientists
- Business Analysts
- Data Engineers
- IT Professionals
- Anyone Interested in Data Visualization
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Frequently Asked Questions
2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.
3. What is your mode of delivery - online or on-site?
We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.
4. Will trainees get certified?
Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.
5. What do we do if we need further support after the training?
We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.