Date: 2025-07-09

Speaker: Director ARDENT COMPUTECH

Learn core Python programming concepts relevant to data analysis 2. Explore NumPy for numerical operations and Pandas for data manipulation 3. Visualize data using Matplotlib, Seaborn, and Plotly 4. Perform exploratory data analysis (EDA) to extract insights 5. Complete an end-to-end data analysis and visualization project using real datasets

Understand the fundamentals of data analysis and data visualization 2. Learn the workflow of handling, cleaning, analyzing, and visualizing data using Python 3. Gain hands-on experience with key Python libraries for data science 4. Apply skills to solve real-world data problems through a project-based approach

Learn core Python programming concepts relevant to data analysis 2. Explore NumPy for numerical operations and Pandas for data manipulation 3. Visualize data using Matplotlib, Seaborn, and Plotly 4. Perform exploratory data analysis (EDA) to extract insights 5. Complete an end-to-end data analysis and visualization project using real datasets