This hands-on workshop equips developers with the skills to clean, analyze, & visualize data like a pro. Master essential scientific Python libraries like Pandas, NumPy, SciPy, Matplotlib and others to transform raw data into actionable insights.
Who Should Attend
Developers
Prerequisites
Solid proficiency in Python: Participants should be comfortable with Python syntax, data structures (lists, dictionaries, sets), control flow (if statements, loops, functions), object-oriented programming concepts (classes, objects), and working with modules and packages.
Basic understanding of statistics: A foundational knowledge of statistical concepts like mean, median, standard deviation, and correlation is necessary. Understanding basic descriptive statistics and how to interpret them will be beneficial.
Course Contents
This 1-day, hands-on workshop empowers developers with the fundamentals of data analysis using scientific Python libraries like Pandas, NumPy, Matplotlib, and others. Through interactive exercises, you’ll learn to:
Clean and manipulate data using pandas for efficient data wrangling.
Uncover patterns and relationships by calculating statistics and exploring correlations.
Craft compelling data visualizations with Matplotlib to communicate insights effectively.
Bonus: Gain a foundational understanding of data science concepts applicable to real-world development projects.
