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Data Analysis and Visualization with Python
Exam included: No- Video learning: Yes
- Support: 24/5
- Access: 365 days
- Exam available: Yes
€ 1.049,00
(excl. VAT) € 1.269,29
(incl. VAT)Course Details:
Learn how to analyze and visualize data using Python, a popular and easy-to-learn programming language.
This course will teach you how to work with data, find insights, and create clear, eye-catching visuals to share your results.
You’ll start by learning how to clean and organize data to make it ready for analysis. Then, you’ll use powerful Python tools like pandas for working with data, NumPy for calculations, and Matplotlib and Seaborn for creating charts and graphs. You’ll also explore tools like Plotly to make interactive visualizations.
By the end of the course, you’ll be able to: Collect, clean, and prepare data for analysis. Understand and explore data to find patterns and trends. Create charts, graphs, and interactive visuals to share your findings. Work on projects to apply your new skills to real-world problems.
This course is perfect for beginners or anyone wanting to use Python for data analysis and visualization.
Prerequisites: You should have some basic knowledge of Python, but it’s not required.
Who Should Take This Course?
This course is great for: Beginners who want to learn data analysis and visualization. Professionals who want to use data to make better decisions. Students and researchers looking to analyze data in their work.
Video based learning24/5 Content & technical support Skills Covered
- Fundamentals of data visualization
- Effective use of color, shape, and hierarchy in visualizations
- Data-driven storytelling
- Designing dashboards and reports
Key Features
- Comprehensive coverage of Python libraries
- Hands-on projects for practical experience
- Step-by-step tutorials
- Interactive lessons on creating impactful visualizations and dashboards
- Preparation for real-world data analytics roles
Benefits
- Better and faster decision-making based on visualized data
- More effective communication of complex information
- Increased engagement in data analysis within teams
- Introduction to Data Analysis with Python
- Python Libraries for Data Analysis (NumPy, Pandas)
- Data Cleaning and Preparation
- Data Visualization Techniques (Matplotlib, Seaborn)
- Advanced Visualization and Dashboarding
- Case Studies and Real-World Projects
- Complete 85% online self learning
- No Project Criteria
- No Test Criteria
More Information
- Course ID10065VHEL1691
- Hrs3
- Access Period365 days
- Practice Projects21
- Assessments Tests1
- Assessments Projects1
Target Audience
This course is tailored for individuals looking to harness Python for data analysis and visualization.
It is ideal for:
- Professionals aiming to leverage Python for actionable insights.
- Key roles such as:
- Data Analysts
- Business Analysts
- Developers
- Team members working on data-driven projects
