Python Programming for Data Science
Learn Python for data science with hands-on exercises in data manipulation, analysis, and visualization. Gain practical skills to process datasets, generate insights, and support data-driven decision-making.
About this Training
This hands-on course equips participants with the skills to use Python for data science applications. Learners will explore Python programming fundamentals, data structures, libraries such as Pandas and NumPy, data cleaning, exploratory data analysis, and visualization with Matplotlib and Seaborn. The course emphasizes practical exercises and real-world datasets, enabling participants to perform data analysis, extract insights, and prepare actionable reports. By the end of the training, learners will be confident in using Python for business, research, and analytics projects.
What You'll Learn
- Module 1: Introduction to Python – Basics of Python programming and environment setup
- Module 2: Python Data Structures – Lists dictionaries tuples and sets
- Module 3: Data Manipulation with Pandas – DataFrames cleaning and transformation
- Module 4: Data Visualization – Creating charts and plots with Matplotlib and Seaborn
- Module 5: Exploratory Data Analysis (EDA) – Summary statistics distributions and patterns
- Module 6: Working with External Data – CSV Excel JSON and database integration
- Module 7: Functions and Automation – Writing reusable code and simple automation
- Module 8: Real-World Project – Applying Python skills to practical datasets