COLLINS Data Science tutor
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Hi,
I am a Statistics lecturer with a deep passion for teaching and a strong commitment to online education. My expertise spans teaching data science using both Python and R, and I specialize in data analysis using SPSS and Excel. Additionally, I have substantial experience in probability and statistics.
I pride myself on being highly interactive and approachable with my students. I utilize tools like PowerPoint and conduct Zoom classes to clearly explain concepts, though I tailor my teaching methods to the unique needs of each student. I prioritize personal engagement and encourage active participation, as I believe this is key to achieving high academic performance.
My primary goal is to help my students attain the highest possible grades. I make it a point to understand the strengths and weaknesses of each student, allowing me to offer personalized guidance. Moreover, I offer flexible scheduling to accommodate students' preferences.
I sincerely hope you consider me as your tutor. I am dedicated to doing my utmost to support your academic success.

i offer service in the following areas
1. STATA
. Introduction to STATA
. Data Management
. Econometric Analysis
. Time-Series Analysis
. Survival Analysis
. Panel Data Analysis
. Graphics and Visualization

2. SAS
. Introduction to SAS
. Data Preparation and Cleaning
. Statistical Analysis
. Advanced Analytics Techniques
. Reporting and Visualization
. Macro Programming
. Integration with other languages/tools

3. SPSS
. Introduction to SPSS
. Data Entry and Management
. Descriptive Statistics
. Advanced Statistical Analysis
. Customizing Output and Visualization
. Forecasting and Predictive Analytics
. Automation and Syntax Programming

4. EXCEL
. Introduction to Excel
. Data Entry and Formatting
. Basic Formulas and Functions
. Filtering and Conditional Formatting
. Data Analysis Tools (PivotTables, Charts)
. Advanced-Data Manipulation (VLOOKUP, HLOOKUP, INDEX-MATCH)
. Macros and VBA
. Power Query and Power Pivot for Advanced Analysis
. Excel Dashboards

5. R Programming
. Introduction to R Programming
. Data Cleaning
. Data Formatting
. Machine Learning
. Regression Modelling
. Linear and Non-Linear Modelling
. Hypothesis Testing
. Shiny App in R
. Structural Effects Modelling
. Path Analysis/Mediation Analysis
. Direct Effects Modelling
. Indirect Effects Modelling

6. Python Programming
. Introduction to Python Programming
. Data Entry and Management
. Descriptive Statistics
. Advanced Statistical Analysis
. Customizing Output and Visualization
. Forecasting and Predictive Analytics
. Machine Learning

Expert in libraries NumPy, pandas, matplotlib, scikit-learn, TensorFlow, PyTorch, Flask, & algorithms like Linear Regression, Logistic Regression, Decision Trees, Random Forest, K-Means Clustering, Support Vector Machines (SVM), Naive Bayes, Principal Component Analysis (PCA), Neural Networks, Gradient Boosting.

7. PowerBI / Tableau
. Introduction to PowerBI / Tableau
. Data Connection and Preparation
. Creating Interactive Dashboards
. Visualizations and Charts
. Advanced Analytics Features
. Collaboration and Sharing
. Integrations and Embedding in Applications

8. SQL
. Introduction to SQL and Relational Databases
. Data Retrieval with SELECT Statement
. Data Manipulation with INSERT, UPDATE, DELETE
. Working with Joins
. Aggregate Functions and Grouping Data
. Subqueries and Derived Tables
. Data Modification and Transaction Management
. Indexes and Performance Tuning
. Views, Stored Procedures, and Functions
. Advanced Topics: Window Functions and Common Table Expressions

9. Academic Writing Subjects
. Essay Writing
. Philosophy
. Research Paper
. Business and Management
. Nursing
. Health and Medicine
. Algebra and Calculus
. Statistics and Probability
. PowerPoint
. Criminology
. History
. Critical Thinking

Additionally, I will provide:
1. Plagiarism Report
2. Ai Report

Welcome. For more information find my contact details now available on this profile.

Subjects

  • Probability and Statistics Beginner-Expert

  • Linear Algebra Beginner-Expert

  • Tableau Beginner-Expert

  • Time Series Analysis Beginner-Expert

  • Physical fitness training (weight loss) Beginner-Expert

  • Operation research Beginner-Expert

  • Data Science with Python Beginner-Expert

  • Data Analysis with Excel, Access and sql Beginner-Expert

  • Data Science with R Beginner-Expert

  • Data Analysis through SPSS and Excel for project Beginner-Expert

  • Demography and vital statistics Beginner-Expert

Experience

  • Python Data analysis Tutor (Jan, 2023–Present) at Moringa School Nairobi
    Teach Data Science Fundamentals: Instructed students on core concepts in probability and statistics, providing them with a strong foundation for further study in data science.
    Utilize Python Libraries: Guided students in the practical application of essential Python libraries, including NumPy, Pandas, Seaborn, Matplotlib, Plotly, and Scikit-learn, to perform data analysis and visualization.
    Develop Course Content: Created engaging lesson plans, exercises, and projects that catered to a range of skill levels, from beginners to more advanced learners.
    Provide Practical Guidance: Offered hands-on support during exercises and projects, ensuring students could apply theoretical knowledge to real-world data scenarios.
    Assess and Monitor Progress: Regularly evaluated student performance, providing constructive feedback and tailored resources to help them achieve their learning goals.
    Stay Current: Continuously updated the curriculum and my own expertise to reflect the latest developments in data science and Python programming.
    Mentorship and Support: Served as a mentor to students, offering guidance on both academic and career paths within the field of data science.

Education

  • Statistics (Sep, 2018–Dec, 2022) from Jommo Kenyatta University of Agriculture and Technology

Fee details

    KSh1,500–5,000/hour (US$11.63–38.76/hour)

    Fee may vary depending on subject and student need.

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