Brochure
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- Welcome to the course
- Curriculum logistics
- Your Springboard support team and the role of each
- Setting some ground rules
- Home
- Springboard
- Courses
- Introduction to Data Analytics
Quick Facts
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|---|---|---|---|---|---|
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Frequency of Classes
Weekdays
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Course and certificate fees
Fees information
$ 349
certificate availability
No
The syllabus
Topic 1: Getting Started
Topic 2: The basics of data analytics
- The difference between data science and data analytics
- Various roles and responsibilities of a Data Analyst
- How data analysis can be used to solve real-world problems
- The tools used in data analysis
Topic 3: Structured Thinking Foundations
- How data analysis is used in data-driven decision making
- HDEIP Framework
- Build out an issue tree with at least 3 levels
- Opposite Words Technique
- Value driver tree
Topic 4: Build your Excel Foundation
- Analyze a dataset filled with numerical and categorical data
- Aggregate functions: SUM(), AVG(), IF()
- Boolean Logic and Statement Clauses
- Pivot tables
- Visualizing data with Excel
Topic 5: Presentation Fundamentals in Analytics
- Communicating data insights
- Techniques for specific audiences: Executive, Technical, Non-Technical
- Powerpoint visualization techniques
- Powerpoint template provided
Technical Skills Survey
- 30 minutes
- Grants eligibility for Career Track if the student chooses
Articles
Popular Articles
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Latest Articles
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