Ifedayo Owolabi
Crafting Code Wizards: Mastering HTML, R, SQL, and Web Development
Web Development tutor - Ifedayo Owolabi
Bachelors degree
$37
$36
/ hour
About your tutor
I am a detail-oriented data analyst with experience in tutoring a wide array of candidates. I have tutored many students/professionals on data analystics spanning over 3 years. As a data analyst I have experience working with various programming, business intelligence and data visualization tools such as Python, R, SQL, Power BI, Tableau and Excel. My work experience combined with my tutoring experience has equipped me not just with theoritical knowledge but also practical applications of these subjects as well. Based on my skillsets, I do believe that I have a good understanding of the subject and possess strong analytical skills. I am also efficient in dealing with students studies and making lesson plans. I always keep myself updated with the latest teaching methods.
Quick assignment help
90% of students get assignment support within 24 hours.
Project-based learning for real-world skills
90% of students complete relevant coding projects.
Flexible lesson scheduling
90% of students find it easy to schedule lessons.
Programming class overview
My tutoring sessions are very aligned with the needs of the students. I always take regular feedback from my students so that the tutoring sessions are effective for the learner. My tutoring pace is tuned to the knowledge level and capacity of the learner. I explain each concept in detail with valid examples and practice, and I am also keen on listening to the students doubts and providing clarifications to them. I try to keep my students as engaged in the class discussions as I can.
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Computer Science concept taught by Ifedayo
Ifedayo Owolabi assisted Samuel Freund with debugging his Python code for an EDA project, focusing on date manipulation, data type handling, and data visualization. They reviewed Pandas functions and best practices for data exploration. Samuel received reassurance about his Python skills and discussed future training options.
Forgetting Syntax
Box Plots
Histograms
Unique vs. Drop Duplicates
Date Calculations
Data Type Conversion
Ifedayo taught Paul how to use Power BI, covering data transformation with Power Query, data modeling through table relationships, and building interactive visualizations like cards and scorecards. Paul was impressed with Power BI's capabilities compared to Excel. They scheduled a follow-up to discuss integrating Power BI with Paul's company data.
Excel vs. PowerBI
Data Transformation
PowerBI Scorecards
PowerBI Interactivity
PowerBI Date Handling
Data Modeling
Ifedayo trained Paul on PowerBI, covering data connectivity from various sources and the difference between loading and transforming data. They also discussed data source management. Paul requested future sessions to cover the PowerBI interface, reporting, scorecard creation, and hands-on work with his data.
Data Delimiters
Data Types
Data Preview
Combining Files
Data Source Settings
Data Loading
Data Transformation
Data Connectors
Nick and Ifedayo collaborated on analyzing football player transfer data, with Ifedayo creating visualizations to compare player performance before and after transfers. Ifedayo will provide Nick with the functional code, which Nick will then upload to his website as a public Google Colab file.
Data Visualization
Wide Receivers Analysis
Position-Specific Stats
Data Presentation
File Management
Ifedayo assisted Nick with his portfolio website, focusing on embedding his Python application and data analysis projects. They addressed technical issues and decided to link to the application (as a PDF) and data files on Google Drive. Future sessions will focus on analyzing transfer player data and creating visualizations.
Exporting Jupyter Notebook to PDF
Sharing Files from Google Drive
Embedding Links in Google Sites
Google Sites Portfolio
Exporting Jupyter Notebook to HTML
Using Print to Save as PDF
Analyzing Transferred Player Stats
Running Code on VS Code
Ifedayo and Nick collaborated on a data analysis project involving college football player transfers. Ifedayo provided the code to scrape, extract, and identify 2160 transfers, and they are now cleaning and analyzing the data. Nick will run the code, and they plan to finalize the project soon.
Data Cleaning and Renaming
Data Scraping Libraries
Looping Through Web Pages
HTML Table Parsing
Dataframe Structuring
Identifying Player Transfers
Function Definition and Application
Your programming tutor also teaches
HTML
R
SQL
Web Development
Free lesson slots
1 / 1
Teaching tools used by tutor
Jupyter Notebook
Student types for programming class
School
College
Adult / Professional
All Levels
Anxiety or Stress Disorders
Home schooled
Interactive programming classes
Record lessons
Note taking
Open Q&A
Chat for quick help
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