MENYA ALEX CERTIFIED MS OFFICE TRAINER, and M&E PRACTITIONER
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MENYA ALEX is an Experienced Ms Office Trainer majorly Ms Excel and a profound M&E enthust with a passion for empowering individuals and organizations to optimize their data management and analysis skills. Skilled in delivering comprehensive and engaging training sessions that cater to learners of all levels, from beginners to advanced users.
Key Skills that I Possess:
• Excel Expertise: I have an in-depth knowledge of Excel functions, formulas, data analysis tools. Proficient in creating complex spreadsheets, and managing data efficiently.
• Training and Instruction: I have a demonstrated ability to effectively communicate complex concepts in a clear and concise manner. Skilled at adapting training methodologies to suit diverse learning styles and maximizing knowledge retention.
• Curriculum Development: Adept at designing and developing customized training materials, handouts, and exercises to ensure the delivery of relevant and practical Excel training sessions.
• Problem Solving: Strong analytical skills combined with a creative mindset to troubleshoot Excel-related issues and provide practical solutions to enhance productivity and efficiency.
• Interpersonal Skills: Excellent interpersonal and communication skills, fostering a positive and inclusive learning environment. Patient and approachable, encouraging questions and feedback from participants.
Professional Experience:
• I have conducted numerous Excel training sessions for individuals and corporate clients, ranging from introductory courses to advanced data analysis techniques.
• Developed and delivered tailored Excel workshops for specific professionals, such as in finance, marketing, Operations, Project management and human resources, addressing industry-specific challenges and use cases.
• Collaborated with clients to identify their specific needs and objectives, customizing training programs accordingly to ensure maximum relevance and applicability.
• Provided ongoing support and guidance to trainees, including post-training resources, follow-up sessions, and assistance with real-world Excel projects.
• Received consistently positive feedback from participants, acknowledging the clarity of instruction, practical exercises, and overall effectiveness of the training sessions.
With a commitment to fostering Data management software proficiency and driving organizational success, I am dedicated to empowering learners with the necessary skills to harness the full potential of Excel as a powerful data management and analysis tool.
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Menya Alex

Subjects

  • STATA, SPSS, TABLEAU, PYTHON, R, POWER BI Beginner-Expert

  • DATA MANAGEMENT AND ANALYSIS USING MS EXCEL Beginner-Expert

  • GOOGLE APPS: FORMS, SHEETS, DOCs etc Beginner-Expert

  • OTHER MS OFFICE PACKAGES (Ms; Word, PowerPoint, Publisher, Access etc) Beginner-Expert

  • M&E PLAN AND OR FRAMEWORK Expert

Experience

  • LEAD TRAINER (Jul, 2018–Present) at A-TEAM CONSULTS, KAMPALA
    We conduct trainings in Data Management and Analysis using MS Excel, STATA, SPSS, TABLEAU, R, PYTHON, POWER BI from Beginner to Advanced Levels.
    We also conduct training in Web based applications like Data collection tools e.g ODK, Kobo Collect, Google forms and other survey tools.
    The trainings are both physical and Online depending on the type of students who enroll for the training programs.
    We are a team of competent trainers.

Education

  • DATA ANALYSIS AND MANAGEMENT USING EXCEL, STATA, SPSS, ODK, POWER BI. TABLEAU, PYTHON, R (Jan, 2018–Dec, 2019) from .
  • Msc STAT, B. Econ & Stat. (Aug, 2016–now) from .

Fee details

    USh100,000–300,000/month (US$27.47–82.41/month)

    The fees vary depending on the level of skill needed, and type of course required by the student and also when a student or group of students require the trainer to travel and meet them physically within Uganda, Otherwise online teaching is opted for.

Courses offered

  • MS EXCEL (Beginner, Intermediate & Advanced Levels)

    • US$80
    • Duration: 1 Week, 2 Weeks, 1 Month, and 3 Months
    • Delivery mode: Flexible as per the student
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: Yes
    This MS Excel Training program is designed to equip participants with the essential skills and knowledge to effectively utilize Microsoft Excel at different proficiency levels. Whether you are a beginner who wants to learn the basics or an experienced user aiming to enhance your skills, this comprehensive training covers all the necessary concepts, features, and techniques.

    Beginner Level:
    The Beginner Level training is tailored for individuals who have little to no experience with Microsoft Excel. Participants will learn the fundamental concepts and functions of Excel to build a strong foundation. The topics covered may include:

    Introduction to Excel: Understanding the interface, workbook structure, and basic navigation.
    Data Entry and Formatting: Entering and editing data, applying formatting options, and managing worksheets.
    Basic Formulas and Functions: Using arithmetic operators, SUM, AVERAGE, COUNT, and other common functions.
    Managing Worksheets: Renaming, inserting, deleting, and arranging worksheets.
    Basic Charts: Creating simple charts to represent data visually.

    Intermediate Level:
    The Intermediate Level training is suitable for individuals who possess basic Excel knowledge and want to expand their skills further. Participants will delve deeper into Excel's functionalities and explore more advanced features. The topics covered may include:

    Advanced Formatting: Custom number formats, conditional formatting, and data validation.
    Advanced Formulas and Functions: Logical functions (IF, AND, OR), lookup functions (VLOOKUP, HLOOKUP), and text functions.
    Data Analysis Tools: Sorting and filtering data, using pivot tables, and performing what-if analysis.
    Data Visualization: Creating advanced charts, sparklines, and dynamic dashboards.
    Collaboration and Data Sharing: Protecting worksheets, workbook sharing, and tracking changes.
    Advanced Level:
    The Advanced Level training targets experienced Excel users who want to master complex Excel features and become power users. Participants will gain proficiency in automating tasks, analyzing data using advanced techniques, and utilizing Excel's advanced tools. The topics covered may include:

    Advanced Formulas and Functions: Array formulas, nested functions, and advanced mathematical calculations.
    Macros and VBA: Recording and editing macros, creating custom functions, and using Visual Basic for Applications (VBA).
    Advanced Data Analysis: Advanced filtering techniques, database functions, and scenarios.
    Data Integration and External Connections: Importing and exporting data, connecting to external databases, and using Power Query.
    Advanced Charts and Graphs: Creating dynamic charts, trendlines, and statistical analysis using Excel.
    By the end of this comprehensive MS Excel training, participants will have gained the necessary skills to efficiently manage, analyze, and present data using Microsoft Excel at various levels of proficiency.

  • GOOGLE BASED APPLICATIONS (Google Forms, Sheets, Drive, Docs etc)

    • US$67
    • Duration: 1 Week, 2 Weeks, 1 Month, and 3 Months
    • Delivery mode: Flexible as per the student
    • Group size: 41 or more
    • Instruction language: English
    • Certificate provided: Yes
    The Google Based Applications Training program provides participants with a comprehensive understanding of various Google productivity tools, including Google Forms, Sheets, Drive, Docs, and more. This training is designed to enhance participants' skills and knowledge in using these applications for personal, academic, or professional purposes.

    Google Forms:
    The Google Forms module focuses on creating and managing online forms and surveys. Participants will learn how to design customized forms, collect responses, and analyze data effectively. The topics covered may include:

    Introduction to Google Forms: Understanding the interface, form creation, and settings.
    Building Forms: Adding various question types (multiple-choice, text entry, checkboxes, etc.) and customizing form layout.
    Form Logic and Branching: Implementing conditional logic and branching based on user responses.
    Data Collection and Analysis: Collecting form responses, viewing summary data, and exporting responses to Google Sheets.
    Collaborative Features: Sharing forms with others, collaborating on form creation, and managing form permissions.
    Google Sheets:
    The Google Sheets module focuses on spreadsheet creation, data management, and analysis using Google Sheets. Participants will learn how to perform calculations, create charts, collaborate on spreadsheets, and more. The topics covered may include:

    Introduction to Google Sheets: Understanding the interface, sheet navigation, and basic spreadsheet concepts.
    Data Entry and Formatting: Entering data, applying formatting options, and managing worksheets.
    Formulas and Functions: Using built-in functions, creating custom formulas, and applying them to analyze data.
    Data Visualization: Creating charts and graphs to represent data visually.
    Collaboration and Data Sharing: Sharing and collaborating on spreadsheets, protecting sheets, and managing versions.
    Google Drive:
    The Google Drive module focuses on understanding the features and functionalities of Google Drive, including file management, collaboration, and synchronization. Participants will learn how to effectively store, organize, and share files using Google Drive. The topics covered may include:

    Introduction to Google Drive: Understanding the interface, file organization, and search capabilities.
    Uploading and File Management: Uploading files and folders, organizing files into folders, and managing file versions.
    Sharing and Collaboration: Sharing files and folders with others, setting permissions, and collaborating in real-time.
    Offline Access and Synchronization: Enabling offline access to files and synchronizing files across devices.
    Advanced Features: Using Google Drive add-ons, integrating with other Google applications, and managing storage.
    Google Docs:
    The Google Docs module focuses on creating, editing, and formatting documents using Google Docs. Participants will learn how to collaborate on documents, apply formatting options, insert images and links, and more. The topics covered may include:

    Introduction to Google Docs: Understanding the interface, document creation, and navigation.
    Document Formatting: Applying text formatting, paragraph styles, and document themes.
    Collaboration and Revision History: Collaborating on documents, tracking changes, and using the revision history feature.
    Inserting and Formatting Images: Inserting images, resizing and positioning images, and applying image formatting.
    Working with Hyperlinks and Tables: Creating hyperlinks, inserting tables, and formatting tables in documents.
    By the end of this Google Based Applications Training, participants will have gained the necessary skills to effectively utilize Google Forms, Sheets, Drive, Docs, and other related tools, empowering them to enhance productivity, collaborate seamlessly, and manage data efficiently using Google's productivity suite.

  • DATA MANAGEMENT USING STATA, SPSS, TABLEAU, PYTHON, R, POWER BI

    • US$130
    • Duration: 1 Week, 2 Weeks, 1 Month, and 3 Months
    • Delivery mode: Flexible as per the student
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: Yes
    The Data Management Using STATA, SPSS, TABLEAU, PYTHON, R, POWER BI Training program is designed to equip participants with the essential skills and techniques required to efficiently manage and analyze data using the popular statistical software packages. This comprehensive training covers a wide range of topics, including data cleaning, transformation, merging, and analysis.

    Introduction to STATA, SPSS, TABLEAU, PYTHON, R, POWER BI:
    Participants will be introduced to the STATA and SPSS interfaces, basic functionalities, and data structures. This module aims to familiarize participants with the software environments and set the foundation for subsequent topics.

    Data Cleaning and Validation:
    This module focuses on techniques for data cleaning and validation, ensuring that datasets are accurate, consistent, and free from errors. Participants will learn how to identify and handle missing data, outliers, and inconsistencies using STATA and SPSS. Topics covered may include data screening, recoding variables, handling missing values, and identifying and addressing data entry errors.

    Data Transformation and Manipulation:
    In this module, participants will learn how to transform and manipulate data effectively. Techniques for data restructuring, variable creation, and data aggregation will be covered. Participants will also explore data reshaping, merging, and appending datasets. Hands-on exercises using STATA and SPSS will provide practical experience in data transformation and manipulation.

    Data Analysis and Statistical Procedures:
    This module focuses on utilizing STATA and SPSS for data analysis and conducting statistical procedures. Participants will learn how to perform descriptive statistics, conduct inferential analyses, and run various statistical tests. Topics covered may include hypothesis testing, t-tests, ANOVA, regression analysis, and chi-square tests. Participants will gain proficiency in interpreting and presenting statistical results.

    Data Visualization:
    This module explores techniques for visualizing data using STATA and SPSS. Participants will learn how to create different types of charts, graphs, and plots to effectively communicate data insights. Topics covered may include bar charts, line graphs, scatterplots, and box plots. Participants will also learn how to customize visualizations and incorporate them into reports and presentations.

    Advanced Data Management Techniques:
    This module delves into advanced data management techniques using STATA and SPSS. Participants will learn how to handle complex data structures, manipulate strings, and perform advanced data transformations. Topics covered may include data reshaping, merging large datasets, string manipulation, and advanced variable transformations. Participants will gain skills to handle real-world data management challenges.

    Data Export and Reporting:
    This module focuses on exporting data and generating reports using STATA and SPSS. Participants will learn how to export results, tables, and graphs to different file formats. They will also explore techniques for generating automated reports, integrating data analysis outputs, and creating professional-looking reports for various stakeholders.

    By the end of this Data Management Using STATA, SPSS, TABLEAU, PYTHON, R, POWER BI Training, participants will have acquired the necessary skills to effectively manage, analyze, and report data using STATA and SPSS. This training will empower participants to handle data-related tasks with confidence, enabling them to make informed decisions based on reliable data analysis.

  • M&E PLAN AND OR FRAMEWORK

    • US$270
    • Duration: 1
    • Delivery mode: Flexible as per the student
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: Yes
    Our Monitoring and Evaluation (M&E) Framework Design is meticulously crafted to provide clients with a comprehensive tool for assessing project progress, identifying areas for improvement, and ensuring accountability. Grounded in best practices and tailored to meet the unique needs of your project, our framework offers a systematic approach to gathering, analyzing, and utilizing data for informed decision-making.

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