About
Phase 1: Business Analytics Fundamentals (Weeks 1-2 - 10 Days) Introduction to Business Analytics What is Business Analytics? Its role in modern business decision-making. The BA lifecycle (data collection, preparation, analysis, visualization, communication). Real-world examples of BA applications across various industries. Understanding Business Problems (2 Days): Identifying business questions and how data analysis can address them. Framing problems for data-driven solutions and setting measurable goals. Introduction to data storytelling for effectively communicating insights. Data & Information Management (3 Days): Different types of data (structured, semi-structured, unstructured). Data sources and data collection methods for business analysis. Introduction to data quality concepts and data cleaning techniques. Introduction to Databases (3 Days): Basic understanding of relational databases (SQL) used in business. Writing simple SQL queries to retrieve and manipulate data. Hands-on practice with a database management system (e.g., MySQL, PostgreSQL). Phase 2: Foundational Data Analysis Techniques Data Visualization Fundamentals Importance of data visualization in communicating insights effectively. Common data visualization charts and graphs (bar charts, line charts, pie charts). Creating visualizations using a data visualization tool (e.g., Tableau, Power BI). Descriptive Statistics & Data Exploration Measures of central tendency (mean, median, mode). Measures of variability (variance, standard deviation). Exploratory Data Analysis (EDA) techniques for understanding data distribution and trends. Data Cleaning & Preprocessing Identifying and handling missing values in data. Dealing with outliers and data inconsistencies. Techniques for data transformation (scaling, normalization) for analysis. Introduction to Statistical Hypothesis Testing Basic concepts of hypothesis testing