Quantitative and Qualitative Data Analysis using R, Python, NVIVO, ODK, and Power BI Course

Quantitative and Qualitative Data Analysis

Embark on a transformative learning experience with our Quantitative and Qualitative Data Analysis course, where we bring together the power of R, Python, NVIVO, ODK, and Power BI. In this dynamic program, participants will delve into the world of data analytics, mastering both quantitative and qualitative methodologies. This course is tailored for individuals seeking a comprehensive understanding of data analysis, providing a robust skill set to navigate the complexities of modern data-driven decision-making.

As we explore the realms of R and Python for quantitative insights, delve into NVIVO’s qualitative capabilities, harness ODK for efficient data collection, and leverage Power BI for impactful visualizations, participants will gain a holistic perspective on data analysis. Through a blend of theoretical concepts, hands-on exercises, and real-world applications, this course ensures that learners not only grasp the intricacies of individual tools but also comprehend how to seamlessly integrate them for a synergistic approach to data analysis. Join us on this educational journey, and unlock the potential of your data like never before.

Course Objectives

  • Master quantitative analysis techniques with R and Python.
  • Develop proficiency in qualitative data analysis using NVIVO.
  • Understand the application of ODK for efficient data collection.
  • Harness the capabilities of Power BI for insightful data visualization.
  • Integrate quantitative and qualitative insights for comprehensive analysis.
  • Build skills in data cleaning, transformation, and preprocessing.
  • Implement statistical models for hypothesis testing and prediction.
  • Gain hands-on experience in coding for data manipulation and analysis.
  • Explore advanced features of NVIVO for in-depth qualitative research.
  • Create interactive and compelling data dashboards with Power BI.

Organizational Benefits

  • Enhanced decision-making through comprehensive data analysis.
  • Increased efficiency in data collection and processing using ODK.
  • Improved accuracy and reliability of organizational data.
  • Better strategic planning with a combination of qualitative and quantitative insights.
  • Cost savings through optimized data management processes.
  • Empowered teams with advanced data analysis skills.
  • Improved project management through NVIVO’s qualitative research capabilities.
  • Enhanced data visualization for effective communication and reporting.
  • Strengthened organizational research and development capabilities.
  • Competitive advantage through informed and data-driven decision-making.

Target Participants

This course is designed for professionals, researchers, and decision-makers who work with data in various capacities. Whether you are a data analyst, researcher, project manager, or executive, this course will provide valuable insights and skills to enhance your proficiency in data analysis.

Course Outline

Module 1: Foundations of Data Analysis with R and Python

  • Introduction to Data Analysis:
    • Overview of data analysis concepts.
    • Importance of data-driven decision-making.
    • Introduction to R and Python for data analysis.
  • Data Manipulation and Transformation:
    • Exploring data types and structures.
    • Data cleaning techniques.
    • Transforming and reshaping datasets.
  • Statistical Analysis with R and Python:
    • Descriptive statistics and data summarization.
    • Inferential statistics and hypothesis testing.
    • Regression analysis for predictive modeling.
  • Data Visualization:
    • Introduction to data visualization principles.
    • Creating plots and charts using ggplot2 (R) and Matplotlib (Python).
    • Interpreting visualizations for insights.
  • Advanced Analytics with R and Python:
    • Time series analysis.
    • Clustering and classification techniques.
    • Machine learning fundamentals.
  • Practical Applications and Projects:
    • Applying R and Python to real-world scenarios.
    • Project work integrating data analysis concepts.
    • Collaboration and sharing best practices.

Module 2: Qualitative Data Analysis with NVIVO


General Information

  • Customized Training: All our courses can be tailored to meet the specific needs of participants.
  • Language Proficiency: Participants should have a good command of the English language.
  • Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.
  • Certification: Upon successful completion of training, participants will receive a certificate from Stepsure Training And Research Institute.
  • Training Locations: Training sessions are conducted at our centers or online as per client needs.
  • Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
  • Onsite Training Inclusions: Course fees include facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for travel expenses, airport transfers, visa applications, and personal expenses.
  • Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.
  • Equipment: Tablets and laptops can be provided at an additional cost.
  • Post-Training Support: One year of free consultation and coaching is available post-training.
  • Group Discounts: Discounts of 10% to 50% are available for groups of more than two participants.
  • Payment Terms: Payment must be made before the training commences or as mutually agreed to ensure smooth preparation.

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