Introduction to Business Analysis and Data Analytics

About This Course

This curriculum will provide an overview of business analysis (BA), its role in organizations, the tools and techniques used by business analysts, and how data analytics fits within the field. The curriculum is designed for learners who are new to business analysis and would like to gain foundational knowledge and skills. The learning will be scenario-based to provide a practical approach to understanding and applying BA principles.

Prerequisite

To learn Introduction to Business Analysis and Data Analytics, you need the following:

·         Basic Business Knowledge

o    Understanding of business processes, industries, and key performance indicators (KPIs).

o    Familiarity with business concepts like revenue, profit, and market trends.

·         Analytical Thinking & Problem-Solving Skills

o    Ability to analyze problems, identify patterns, and draw logical conclusions.

·         Basic Mathematics & Statistics

o    Knowledge of percentages, averages, probability, and basic statistical concepts like mean, median, and standard deviation.

·         Spreadsheet Skills (Excel or Google Sheets)

o    Basic formulas, pivot tables, charts, and data visualization.

·         Basic SQL Knowledge (Optional but Helpful)

o    Understanding of databases and how to retrieve data using SQL queries.

·         Familiarity with Data Visualization Tools (Optional)

o    Exposure to Power BI, Tableau, or Excel charts for presenting insights.

Benefits to Learners

Taking the "Introduction to Business Analysis and Data Analytics" course offers several key benefits:

·         High-Demand Career Opportunities: Opens doors to roles like Business Analyst and Data Analyst across various industries.

·         Data-Driven Decision Making: Enhances problem-solving and strategic planning through data interpretation.

·         Enhanced Analytical & Critical Thinking Skills: Develops the ability to identify patterns and provide actionable insights.

·         Improved Efficiency & Productivity: Helps optimize business operations by identifying inefficiencies.

·         Competitive Advantage in the Job Market: Increases career prospects and earning potential.

·         Versatility Across Industries: Skills applicable in finance, healthcare, e-commerce, and more.

·         Stronger Communication & Visualization Skills: Ability to translate complex data into clear reports and dashboards.

·         Pathway to Advanced Analytics & Data Science: Serves as a foundation for machine learning, AI, and big data analytics.