Data Visualization and Analysis with Python

Use Python and its libraries to visualise data and unlock powerful insights

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Program Overview

Data visualization and analysis with Python is a powerful combination that enables users to explore, analyze, and present data in a visually appealing and informative manner.Python offers various libraries and tools that are well-suited for data manipulation, analysis, and visualization.

In the fast-paced world of data-driven decision-making, the ability to visualize and analyze data effectively is crucial for organizations seeking a competitive edge. "Data Visualization and Analysis with Python" is a comprehensive corporate training program designed to equip your team with the essential skills to harness the power of Python libraries for data manipulation, visualization, and in-depth analysis.

This programby Uptut will be delivered through a combination of interactive lectures, hands-on exercises, real-world case studies, and collaborative group projects. Participants will receive course materials, and reference guides, to support their learning journey.

Equip your team with invaluable data visualization and analysis skills using Python, and empower them to transform data into actionable insights that drive success for your organization.

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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.

Core training modules

  • Introduction to Python for Data Analysis
  • An overview of Python programming and its significance in data analysis.
  • Data Manipulation with Pandas
  • Learn how to efficiently manipulate and preprocess data using Pandas.
  • Numerical Computing with NumPy
  • Understand the fundamentals of numerical computing using NumPy arrays.
  • Data Visualization with Matplotlib
  • Create static visualizations, such as bar charts, line plots, and scatter plots, using Matplotlib.
  • Statistical Visualizations with Seaborn
  • Explore Seaborn for creating statistical visualizations and insightful graphs.
  • Interactive Data Visualization with Plotly
  • Learn how to create interactive and dynamic visualizations using Plotly.
  • Web-based Visualizations with Bokeh
  • Utilize Bokeh to create interactive web-based visualizations and dashboards.
  • Exploratory Data Analysis (EDA)
  • Perform EDA to uncover patterns, correlations, and insights in data.
  • Data Aggregation and Grouping
  • Use Pandas for data aggregation, grouping, and summarization.
  • Time Series Analysis
  • Analyze time series data and identify trends and seasonality.
  • Data Cleaning and Preprocessing Techniques
  • Handle missing data, outliers, and data cleansing to prepare data for analysis.
  • Data Visualization Best Practices
  • Understand the principles of effective data visualization and design.
  • Geospatial Data Visualization
  • Plot and visualize geospatial data on maps using Python libraries.
  • Advanced Plot Customization
  • Customize visualizations with labels, annotations, and multiple axes.
  • Data Visualization for Machine Learning
  • Create visualizations to analyze and interpret machine learning results.
  • Data Storytelling and Communication
  • Develop skills to communicate data insights effectively.
  • Interactive Dashboards with Panel
  • Use Panel library to create interactive data dashboards.
  • Data Ethics and Privacy
  • Understand the ethical considerations related to data analysis and visualization.
  • Real-world Case Studies
  • Apply Python data visualization and analysis to practical industry scenarios.

Build a high-performing, job-ready tech team.

Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut

Hands-on Experience with Tools

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Opt-in Certifications
AWS,, DASA & more
100% Live
on-site/online training
Labs and capstone projects
Lifetime Access
to training material and sessions

How Does Personalised Training Work?

Skill-Gap Assessment

Analysing skill gap and assessing business requirements to craft a unique program



Customising curriculum and projects to prepare your team for challenges within your industry



Supplementing training with consulting support to ensure implementation in real projects


Why Data Visualization and Analysis with Python for Your Business?

  • 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.

Who will Benefit from this Training?

  • Data Analysts
  • Data Scientists
  • Product Managers
  • IT Professionals
  • Any Professional Dealing with Data

Lead the Digital Landscape with Cutting-Edge Tech and In-House " Techsperts "

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Frequently Asked Questions

1. What are the pre-requisites for this training?
Faq PlusFaq Minus

The training does not require you to have prior skills or experience. The curriculum covers basics and progresses towards advanced topics.

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?
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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?
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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?
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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.

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