Pandas for Data Science

Course Content	Course Hours	Course Fee	Register
1. Introduction NumPy, data science, and IMQAV Install software 2. Introduction to Notebooks Introduction to Jupyter Notebook Launch Jupyter Notebook Notebook basics Markdown Markdown tables Beautiful mathematics typesetting 3. Pandas Overview Object creation Selection Assignment statements Missing data Operations Merge: concat, join, append Input and output Remote data access Grouping Categoricals Time series resampling 4. Series Create series Vectorized operations Date arithmetic 5. Data Frames and Panels Create data frames Select, add, and delete Indexing and selection NumPy universal functions Create panels 6. Plotting Inline plotting Figures and subplots Multiple lines in a single plot Tick marks, labels, and grids Plot annotations Data frame plots	4 Hours	₹ 2400 | $40	Join now