RiseUpp Logo
Educator Logo

Python for Data Visualization and Analysis

Master Python’s visualization tools to turn complex data into interactive visuals and gain insights through EDA.

Master Python’s visualization tools to turn complex data into interactive visuals and gain insights through EDA.

This hands-on course provides comprehensive training in data visualization and exploratory data analysis using Python's most powerful libraries. Students will learn to create stunning static visualizations with Matplotlib and Seaborn, develop interactive charts and dashboards with Plotly and IPyWidgets, and deploy shareable web applications using Streamlit. The curriculum emphasizes practical skills for selecting appropriate chart types, customizing visuals for maximum impact, and extracting meaningful insights from complex datasets. Through guided demonstrations and hands-on projects, participants will master techniques for transforming raw data into compelling visual narratives that facilitate better decision-making. By course completion, learners will possess the technical proficiency to create professional-quality visualizations and interactive dashboards that effectively communicate data stories.

Instructors:

English

Powered by

Provider Logo
Python for Data Visualization and Analysis

This course includes

9 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Create impactful static visualizations using Matplotlib for different data types and relationships

  • Develop sophisticated statistical visualizations efficiently with Seaborn

  • Build interactive charts and dashboards with Plotly for enhanced data exploration

  • Create dynamic data applications with customizable controls using IPyWidgets

  • Deploy interactive visualization applications with Streamlit to share results

  • Select appropriate chart types for different data scenarios and analysis goals

Skills you'll gain

Data Visualization
Python
Matplotlib
Seaborn
Plotly
Interactive Dashboards
Exploratory Data Analysis
Streamlit
IPyWidgets
Data Analysis

This course includes:

3.2 Hours PreRecorded video

13 assignments

Access on Mobile, Tablet, Desktop

Batch access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Created by

Provided by

Certificate

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

icon-0icon-1icon-2icon-3icon-4

There are 4 modules in this course

This course provides a comprehensive exploration of data visualization and exploratory data analysis using Python. The curriculum is structured around three main visualization libraries: Matplotlib, Seaborn, and Plotly. Beginning with fundamental visualization concepts, students learn to create various charts and plots using Matplotlib, including line graphs, bar charts, histograms, scatter plots, pie charts, and box plots. The course then advances to Seaborn for creating more sophisticated statistical visualizations with less code. The final portion focuses on interactive visualization techniques using Plotly and IPyWidgets, culminating in building deployable web applications with Streamlit. Throughout the course, students apply these tools to real-world datasets, developing practical skills in selecting appropriate visualization methods and customizing visuals for maximum impact and clarity.

Visualization with Matplotlib

Module 1 · 3 Hours to complete

Data Visualization with Seaborn

Module 2 · 1 Hours to complete

Interactive Data Visualization

Module 3 · 3 Hours to complete

Course Wrap-Up and Assessment

Module 4 · 1 Hours to complete

Fee Structure

Instructor

Edureka
Edureka

45,069 Students

56 Courses

Inspiring the Next Generation of Tech Professionals

Edureka is dedicated to providing high-quality, instructor-led online training, empowering professionals to enhance their skills in various domains. The platform features a diverse team of experienced instructors who are passionate about teaching and possess extensive industry knowledge. These instructors facilitate a wide range of courses covering topics such as data science, artificial intelligence, machine learning, and cloud computing. Edureka's commitment to education is reflected in its innovative approach to learning, which includes interactive sessions, real-world projects, and 24/7 support for students. By fostering a collaborative learning environment, Edureka ensures that learners not only acquire technical skills but also develop critical thinking and problem-solving abilities essential for success in today's fast-paced job market.

Python for Data Visualization and Analysis

This course includes

9 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.