Python for Data Analysis
UJXPython for Data Analysis Certificate is an intermediate-level course designed to help learners analyze, clean, and explore data using Python. The course focuses on using Python libraries commonly used in data analytics to extract insights from real-world datasets.
Throughout the course, learners will build a strong foundation in Python for data work, including data loading, cleaning, and wrangling using pandas and NumPy. The course also introduces Exploratory Data Analysis (EDA) and data visualization techniques using Matplotlib and Seaborn, while demonstrating how Python connects to various data sources such as CSV files, Excel sheets, and SQL databases.
By the end of the course, learners will be able to perform end-to-end data analysis using Python, create insightful visualizations, and communicate findings through structured EDA reports. This course is ideal for learners who want to move beyond spreadsheets and SQL into programmatic data analysis.
Who This Course Is For
- Learners with basic Excel or SQL knowledge
- Aspiring Data Analysts and Analytics Professionals
- Professionals interested in Python-based data analysis
- Anyone looking to perform advanced data analysis using Python
What You’ll Learn
By the end of this course, you will be able to:
- Apply Python foundations for data analysis tasks
- Clean and wrangle data using pandas and NumPy
- Perform Exploratory Data Analysis (EDA)
- Create visualizations using Matplotlib and Seaborn
- Load and analyze data from CSV, Excel, and SQL sources