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Program overview
Online
On-site
Hybrid
Data Visualization and Analysis with Python
Build a strong foundation in data analysis and visualization using Python by mastering key libraries for data processing and exploration. Learn how to perform exploratory analysis, create interactive dashboards, and present data driven insights through effective visual storytelling to support informed business decisions.
Duration:
4 Days
Level:
Advanced
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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
- Python for Analysis
- Apply python for analysis in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Pandas and NumPy
- Apply pandas and numpy 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 and Seaborn
- Apply matplotlib and seaborn 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 and Bokeh
- Apply plotly and bokeh in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- EDA and Aggregation
- Apply eda and aggregation in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Cleaning and Time Series
- Apply cleaning and time series in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Geospatial and Customization
- Apply geospatial and customization in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- ML Visuals
- Apply ml visuals in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Storytelling
- Apply 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
- Panel Dashboards
- Apply panel dashboards in practical visualization workflows
- Build and refine examples using realistic datasets
- Check clarity, accuracy, and stakeholder readability
- Document choices and iterate based on feedback
- Ethics and Case Studies
- Apply ethics and case studies 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
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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
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Why this course
- Actionable Insights from Data: Python's data visualization and analysis capabilities allow your team to uncover patterns, trends, and correlations in your data, helping you make informed decisions and identify new opportunities.
- Data-Driven Decision Making: Python's data analysis capabilities empower your team to base their decisions on concrete evidence and data, reducing guesswork and minimizing risks.
- Cost-Effectiveness: Python is an open-source programming language, and many of its data analysis and visualization libraries are also open-source. This makes it a cost-effective solution.
Training objectives
- Develop a strong command over essential Python libraries for data manipulation and analysis.
- Learn how to handle and preprocess data effectively.
- Acquire the skills to create a variety of static and interactive visualizations.
- Perform thorough exploratory data analysis to uncover hidden patterns, trends, and relationships within the data and gain valuable insights.
- Utilize Pandas and NumPy for data aggregation, filtering, and advanced analysis.
- Understand the importance of data-driven decision-making and how Python's visualization and analysis tools can support your team in making informed choices for your business.
- Learn the art of visual storytelling and how to present complex data insights in a compelling narrative.
- Develop interactive dashboards using Python libraries.
- Familiarize yourself with best practices in data visualisation.
Who will benefit
- Data Analysts
- Data Scientists
- Product Managers
- IT Professionals
- Any Professional Dealing with Data
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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.