Module 1: Introduction to Python Module 2: Variables, Data Types, and Operators Module 3: Control Flow and Decision Making Module 4: Functions and Modules Module 5: Data Structures in Python
Module 1: Introduction to Java Programming Module 2: Control Flow and Decision Making Module 3: Object-Oriented Programming (OOP) Concepts Module 4: Data Structures and Collections Module 5: File Handling and
Module 1: Introduction to Database Management Systems (DBMS) Module 2: Introduction to Microsoft Access Module 3: Structured Query Language (SQL) Basics Module 4: SQL Queries for Data Retrieval Module 5:
Module 1: Introduction to SPSS Module 2: Understanding the Data Structure in SPSS Module 3: Data Cleaning and Transformation Module 4: Descriptive Statistics Module 5: Inferential Statistics Module 6: Analyzing
Module 1: Introduction to QuickBooks Module 2: Setting Up QuickBooks for Your Business Module 3: Managing Customers and Sales Transactions Module 4: Managing Vendors and Purchase Transactions Module 5: Bank
Module 1: Introduction to Sage Accounting Module 2: Company Setup and Configuration Module 3: Managing Financial Transactions Module 4: Bank Reconciliation and Cash Flow Management Module 5: Inventory and Stock
Module 1: Introduction to Data Science and Tableau Module 2: Getting Started with Data in Tableau Module 3: Data Visualization in Tableau Module 4: Data Analysis in Tableau Module 5:
Module 1: Introduction to Data Science and Power BI Module 2: Getting Started with Power BI Desktop Module 3: Data Preparation and Transformation Module 4: Data Modeling in Power BI
Module 1: Introduction to Data Science and R Module 2: Data Import, Cleaning, and Preprocessing Module 3: Data Visualization in R Module 4: Exploratory Data Analysis (EDA) Module 5: Statistical
Module 1: Introduction to Data Science Module 2: Python for Data Science Basics Module 3: Data Visualization and Exploration Module 4: Statistical Analysis Module 5: Machine Learning with Python