Data Wrangling and Visualization for Data Analyst Course Overview
The 'Data Wrangling and Visualization for Data Analyst Course' by Open Source equips professionals with essential skills to clean, transform, and visualize data effectively. This course is vital for data analysts, business analysts, and aspiring data scientists, enabling them to derive meaningful insights and make data-driven decisions in today’s data-centric landscape.
Course outline & what you'll learn
- Understanding Data Types and Structures
Overview of Data Wrangling Techniques
- Tools and Libraries for Data Wrangling
- Identifying and Handling Missing Values
- Outlier Detection and Treatment
- Data Formatting and Transformation
- Introduction to Pandas for Data Analysis
- Merging and Joining Datasets
- Grouping and Aggregating Data
- Descriptive Statistics
- Data Profiling Techniques
- Visualizing Data Distributions
- Importance of Data Visualization
- Choosing the Right Visualization Type
- Best Practices for Effective Visualizations
- Introduction to Matplotlib
- Using Seaborn for Statistical Visualizations
- Creating Interactive Visualizations with Plotly
- Introduction to Dashboard Design
- Tools for Creating Dashboards (e.g., Tableau, Power BI)
- Best Practices for Dashboard Usability
- Real-World Data Wrangling Scenarios
- Hands-On Projects in Data Visualization
- Peer Review and Feedback on Projects
- Recap of Key Learnings
- Career Pathways in Data Analysis
- Resources for Continued Learning
Why train with Traincrest
This Open Source course is delivered by Traincrest's certified instructors, live online or in the classroom, with hands-on labs and a 98% exam success rate. Trusted by 500+ companies and 50,000+ students worldwide.