WHAT YOU WILL LEARN
- Ability to identify the characteristics of datasets and perform data analysis for various applications
- Ability to select and implement data analysis techniques and computing environment that are suitable for the applications under consideration
- Ability to solve problems associated with data analysis tools & techniques, and the data characteristics
- Ability to integrate data and statistical tools like SPSS
- Ability to recognize and implement various ways of selecting suitable model parameters for different data analysis techniques
SKILLS YOU WILL GAIN
- Data Analysis Techniques
- Statistical Methods SPSS Software
- Proficiency Data Interpretation Report Generation
- Ability to generate comprehensive reports using statistical findings
- SPSS software proficiency for data manipulation and analysis
Description
This certificate course provides an introductory yet comprehensive understanding of data analysis in a business context. Students will learn to use statistical tools like SPSS to analyze data and generate actionable insights. The course equips participants with essential data analysis skills to become effective decision-makers and innovators in today’s data-driven business environment.
Learning Objectives
- Introduce Statistical Thinking:
Develop a foundational understanding of statistics and their role in decision-making, policy analysis, and academic research. - Build SPSS Competency:
Enable learners to confidently navigate the SPSS interface, enter and clean data, and apply appropriate statistical tests. - Strengthen Research Skills:
Equip students with the ability to formulate research questions, identify variables, and apply suitable statistical procedures. - Develop Analytical and Interpretation Skills:
Train participants to interpret SPSS output correctly, draw meaningful conclusions, and detect patterns in datasets. - Foster Professional Reporting Abilities:
Guide learners in organizing their statistical findings into structured reports that follow academic and industry standards (e.g., APA style). - Promote Critical Data Literacy:
Encourage critical thinking about data reliability, ethical considerations, and appropriate use of statistical tools in real-world settings.
Learning Outcomes
Weekly Lectures Plan
Week 1: Introduction to Research & SPSS Basics
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Research fundamentals, quantitative methods, and data entry in SPSS.
Week 2: Descriptive Statistics & Data Visualization
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Mean, median, charts, and graphs using SPSS.
Week 3: Inferential Statistics, T-Tests & ANOVA
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Hypothesis testing, confidence intervals, t-tests, and analysis of variance.
Week 4: Correlation, Regression & Report Writing
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Correlation coefficients, linear regression, and formatting research reports.
How the Specialization Works
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Online Access:
The course will be hosted through the DODL platform, where students can access lessons, assignments, and learning resources. The platform ensures a flexible learning experience, allowing students to engage with the material at their own pace. -
Live Sessions and Recorded Lectures:
Weekly live sessions will be conducted by experienced instructors who will provide hands-on demonstrations of SPSS and statistical analysis techniques. These sessions will be recorded and made available for students who prefer self-paced learning. -
Interactive Exercises and Assignments:
Each module will include exercises that students must complete to apply their learning. Assignments will involve data analysis using SPSS and interpreting the results to make business decisions. Feedback will be provided on all submissions. -
Discussion Forums and Peer Learning:
A key feature of the DODL platform is the discussion forums, where students can collaborate, ask questions, and engage in peer-to-peer learning. Instructors will also provide guidance in these forums. -
Assessments and Certification:
At the end of the course, students will take a final assessment to evaluate their understanding of the concepts and techniques covered. Upon successful completion, participants will receive a certificate from Minhaj University Lahore.
Module 1 - Introduction to Research and SPSS Basics
3 Topics , 1 Quiz
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Topic 1: Introduction to Research and Quantitative Methods
Video and Reading
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Topic 2: How Does a Researcher Start?Sensation → Perception → Conception → Concept
Video and Reading
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Topic 3: Research Paradigms Positivism, Interpretivism, and Pragmatism in Philosophical Research
Video and Reading
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Quiz-1
Quiz
Module 2 - Descriptive Statistics and Data Visualization
6 Topics
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Topic 1: What is statistics ?
Video and Reading
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Topic 2: Comparative Analysis of Measurement Scales
Video
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Topic 3: Questionnaire Design and Scale Measurement with SPSS
Video
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Topic 4: Introduction to Codebook
Video
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Topic 5: How to build a codebook ?
Video
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Topic 6: How to Enter Questionnaire Data into SPSS
Video
Module 3 - Inferential Statistics, T-Tests and ANOVA
5 Topics
-
Topic 1: What are Descriptive Statistics?
Video and Reading
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Topic 2: Exploring Mean, Median, Mode, Range, IQR, and Variance
Video and Reading
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Topic 3: Measures of Dispersion
Video and Reading
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Topic 4: Introduction to Bell-Shaped Symmetrical Distribution
Video and Reading
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Topic 5: Understanding Kurtosis
Video and Reading
Start Learning Today
- Holistic Learning Path
- Practice Tracker for Skill Building
- Shareable Certificates
- Self-Paced Learning Option
- Course Videos & Readings
- Practice Quizzes
- Graded Assignments with Peer Feedback
- Graded Quizzes with Feedback
- Graded Assignments
No FAQ's Found for this Course
This Course Includes
- Duration: 20 Hours
- Modules: 6
- Fee Status: Paid
- 100% Online Course
- Shareable Certificate
- Flexible Schedule
- Level:
- Language: English,Urdu
