Ifedayo Owolabi
Crafting Code Wizards: Mastering HTML, R, SQL, and Web Development
Web Development tutor - Ifedayo Owolabi
Bachelors degree
$19
$18
/ 30 min
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 assisted Alexa in automating Excel tasks using Power Query to extract, transform, and load data for client contracts and billing. They worked on setting up formulas, merging columns, and automating data entry from a master spreadsheet into formatted sheets. Alexa will practice the steps and prepare further questions for their next session on Thursday.
Conditional Columns
Filtering Data
Data Automation
Formula Copying
Data Merging
Samuel and Ifedayo discuss analyzing nursing home financial data from Excel files. Ifedayo advises Samuel, who is using Python, on data cleaning techniques and suggests Power BI as a potentially faster alternative for exploratory analysis due to its data cleaning and visualization capabilities. They also discuss Python's interaction with Excel sheets, cleaning sheet names, using AI for coding, and the challenges of data import and cleaning, ultimately deciding Samuel should continue with Python for the current task while keeping Power BI in mind for future projects. They briefly touch on the difficulties of building a proforma forecast with incomplete data.
Data Imputation
Dataframe Manipulation
AI in Coding
Data Exploration and Visualization
Data Cleaning and Reformatting
Data Analysis Tools: Python vs. PowerBI
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.
Date Calculations
Data Type Conversion
Unique vs. Drop Duplicates
Histograms
Box Plots
Forgetting Syntax
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.
PowerBI Scorecards
Data Transformation
Excel vs. PowerBI
Data Modeling
PowerBI Date Handling
PowerBI Interactivity
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.
Position-Specific Stats
Data Visualization
Wide Receivers Analysis
Data Presentation
File Management
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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