The Python for Data Analytics course provides a comprehensive introduction to Python and its key libraries for data handling, analysis, and visualization. It is designed for beginners and professionals looking to enhance their Python skills for data analytics.

Key Learnings:

✔ Python Fundamentals – Learn variables, data types, loops, and functions.
✔ Data Handling in Python – Work with lists, dictionaries, and file handling.
✔ NumPy for Data Processing – Perform array operations, slicing, and mathematical functions.
✔ pandas for Data Analysis – Handle DataFrames, clean data, and perform aggregation (groupby, .agg()).
✔ Data Visualization – Create impactful charts using matplotlib and seaborn (line charts, bar graphs, histograms, scatter plots, and more).
✔ Working with Date & String Data – Manipulate date-time objects and extract insights from text data.

Course Highlights:

🔹 Hands-on Learning – Practical exercises and real-world case studies.
🔹 Study Material Included – Get structured notes on Python, NumPy, pandas, and visualization.
🔹 Flexible Learning – Available as full course or individual modules in One-on-One and Group Classes.