Importing data from various sources (CSV, Excel, SQL) Basic data manipulation with pandas pandas Introduction to Jupyter Notebooks and Anaconda Python programming Concepts (Functions, classes and Oops concept Introduction to data visualization tools like Tableau and Power BI and Excel Overview of machine learning algorithms and their applications Introduction to popular data science tools such as R, and SQL Introduction to python and its basics (variables, data types, control structures Importance of data science in modern business environments Introduction to Data Science and its Scope Current banking scenario and Job opportunities in banking