Ifedayo Owolabi
Data Whisperer: Interactive Expert Crafting Practical Solutions with Python
Data Analysis tutor - Ifedayo Owolabi
Bachelors degree
$38
$36
/ hour
About your data science 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.
Debugging and problem-solving focus
85% of students improve debugging skills.
Interactive debugging sessions
Students debug and improve their own code in real-time.
Data sciece 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.
Data Science tutor specialities
Upskilling
Machine learning
Data visualization
Business intelligence
Debugging
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Data Science concept taught by Ifedayo
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
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
Data Modeling
PowerBI Date Handling
PowerBI Interactivity
PowerBI Scorecards
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
Wide Receivers Analysis
Data Visualization
File Management
Data Presentation
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.
Embedding Links in Google Sites
Google Sites Portfolio
Exporting Jupyter Notebook to HTML
Sharing Files from Google Drive
Using Print to Save as PDF
Exporting Jupyter Notebook to PDF
Running Code on VS Code
Analyzing Transferred Player Stats
Your data science tutor also teaches
Data Analysis
Databases
Machine Learning
Power BI
Python
Tableau
Free lesson slots
1 / 1
Student types for data science class
School
College
Adult / Professional
All Levels
Anxiety or Stress Disorders
Home schooled
Interactive data science classes
Record lessons
Note taking
Open Q&A
Chat for quick help
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Every tutor is interviewed and selected for subject expertise and teaching skill.