Exploring Quantitative Skills
Exploring Quantitative Skills serves as the foundational course for students venturing into the field of analytics. Designed specifically for individuals at the beginning of their academic or professional journey in analytics, this course equips learners with the essential quantitative tools required to excel in data-driven environments.
The curriculum focuses on three key pillars of quantitative reasoning: arithmetic, algebra, and geometry, supplemented by an introduction to data interpretation and basic statistics. These skills are crucial for solving real-world problems, interpreting numerical data, and building the analytical mindset required for advanced topics in analytics.
This well-rounded approach ensures students are prepared for the quantitative challenges they will face in subsequent analytics courses and real-world scenarios. Through interactive lessons, practical problem-solving exercises, and assessments, Exploring Quantitative Skills empowers students to build a solid foundation for their analytical journey.
Course Details
Instructor
Zaheer Swati
Course Catagory
Duration
48 Hours
Type
Self Guided
Course Plan
Course Objectives
1. To develop a strong foundation in quantitative reasoning by introducing essential concepts in arithmetic, algebra, geometry, and introductory statistics.
2. To equip students with the mathematical tools necessary for solving real-world analytical problems and preparing for advanced analytics coursework.
3. To foster critical thinking and logical reasoning by applying quantitative techniques to academic and practical scenarios.
4. To enable students to interpret and analyze numerical data effectively, preparing them for data-driven decision-making.
5. To introduce students to basic visualization and quantitative modeling, setting the groundwork for analytics applications.
Program Learning Outcomes (PLO)
Upon successful completion of the Data Analytics program, graduates will be able to:
1. Quantitative and Analytical Skills
Apply mathematical, statistical, and computational techniques to analyze and interpret complex datasets for informed decision-making.
2. Data Management and Modeling
Demonstrate proficiency in managing datasets, building analytical models, and applying statistical or machine learning techniques to solve practical problems.
3. Communication and Visualization
Effectively visualize and communicate analytical findings and recommendations to diverse audiences using appropriate tools and techniques.
4. Ethics and Legal Awareness
Adhere to ethical standards and legal frameworks in data collection, analysis, and reporting, ensuring integrity and privacy in analytics.
5. Innovation and Lifelong Learning
Leverage analytics tools and methodologies to drive innovation and maintain adaptability by keeping pace with evolving technologies and industry trends.
Course Learning Outcomes (CLO)
By the end of this course, students will be able to:
- Perform Fundamental Operations: Apply arithmetic techniques, including fractions, percentages, ratios, and proportions, to solve practical and academic problems.
- Analyze and Solve Equations: Formulate, manipulate, and solve basic algebraic equations and inequalities, including linear and quadratic equations.
- Understand Spatial Relationships: Use geometric principles to calculate areas, perimeters, volumes, and understand spatial relationships for analytical applications.
- Interpret and Represent Data: Analyze and interpret data presented in charts, graphs, and tables and use descriptive statistics to summarize datasets.
- Develop Logical Reasoning: Apply logical and quantitative reasoning to approach and solve structured and unstructured problems.
- Build Analytical Foundations: Integrate quantitative techniques with problem-solving strategies to support advanced analytical learning.
What’s Included
26 Lessons
Multiple Choice Questions
Analytics Exercises
Problems with Solutions
Practice Questions
Exam Questions
Video Lectures
Case Studies
Tutorials
Course Content
Learning Resources
Analytics Courses
Workshops
Resource Library
Project Ideas
Formulas
Templates
Calculator
Glossary
Career Resources
Recommended Books
Pre-requisite
Enrollment in Exploring Quantitative Skills requires a basic understanding of high school mathematics, including arithmetic, algebra, and geometry, along with problem-solving and logical reasoning skills. Advanced knowledge of mathematics or data analysis is not required, as this course serves as an accessible starting point for analytics students.