Ifedayo Owolabi
Crafting Code Wizards: Mastering HTML, R, SQL, and Web Development
Private tutor - Ifedayo Owolabi
Bachelors degree
/ 30 min
Ifedayo - Know 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 guided Lea through creating visualizations in PowerBI, including tables, clustered column charts, stacked bar charts, and donut charts. Lea practiced formatting these visuals, adding borders, and publishing the final report to PowerBI. The next session will continue with PowerBI, focusing on publishing reports.
PowerBI Report View
Data Pane
Visualization Pane
Visual Interactivity
Date Hierarchy
No city was mentioned. Ifedayo Owolabi guided Lea Brown through a PowerBI lesson, focusing on the distinctions between reports and dashboards, data import, and various transformation techniques. They practiced on PowerBI desktop, covering column formatting, data splitting, and combining fields to create a contact name column. They plan to continue their PowerBI work in a follow-up lesson scheduled for Thursday.
Delimiter
PowerBI Desktop vs. Cloud
PowerBI Dashboard
Custom Column (Combining Fields)
Power Query Editor
Ifedayo assisted Alexa in refining her Excel spreadsheets, specifically by correcting broken formulas and developing a new template for importing data from various sources. Their work also involved troubleshooting cell deletion on a Mac and ensuring proper date formatting for Power Query. Alexa plans to utilize this new template for her data imports and will arrange another lesson as needed.
Clearing Excel Data
Excel Sheet Renaming
Creating Excel Templates
Excel Date Formatting
Power Query Data Source
Ifedayo assisted Alexa in automating Excel tasks, specifically leveraging Power Query to extract, transform, and load data for client contracts and billing. Their work involved setting up formulas, merging columns, and automating data entry from a master spreadsheet into formatted sheets. Alexa plans to practice these steps and prepare further questions for their upcoming lesson on Thursday.
Filtering Data
Data Automation
Formula Copying
Data Merging
Conditional Columns
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.
Dataframe Manipulation
Data Imputation
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
Your programming tutor also teaches
HTML
R
SQL
Web Development
Free lesson slots
1 / 1
Teaching tools used by tutor
Jupyter Notebook
Learner for programming class
Adult / Professional
Home schooled
All Levels
Anxiety or Stress Disorders
School
College
Dynamic programming classes
Record lessons
Note taking
Chat for quick help
Open Q&A
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Every tutor is interviewed and selected for subject expertise and teaching skill.