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.
