Ifedayo Owolabi
Data Whisperer: Interactive Expert Crafting Practical Solutions with Python
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Ifedayo Owolabi
Bachelors degree
/ 55 min
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.
Data Science tutor skills
Machine learning
Data visualization
Debugging
Predictive modeling
Upskilling
CoTutorAI modules
Summary
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Quiz
Learnings
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Zero Risk Guaranteed
15-days refund
Free tutor swap
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1-yr validity
24/7 support
Learner types for data science class
College
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Home schooled
Anxiety or Stress Disorders
Adult / Professional
School
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.
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.
Your data science tutor also teaches
Data Analysis
Databases
Machine Learning
Power BI
Python
Tableau
Data Science concepts taught by Ifedayo
The Student and Tutor discussed the development process of an application, focusing on data handling, AI training, and project scoping. They also explored potential platforms for building the application, and the importance of data governance and error handling. The Student was tasked with following up on a software engineer recommendation and considering documentation practices.
Front-End vs. Back-End Development Order
Data Governance
Importance of System Logs
The Role of Documentation
AI for Application Development
Addressing Errors and Gaps in Software Development
The session covered cleaning, standardizing, and geolocating addresses using Python. The Student was advised to use `re` for cleaning, and `libpostal` or `US address` for standardization and geolocation. They discussed building a pipeline for address processing, including cleaning, standardization, and latitude/longitude retrieval, and planned to set up an initial pipeline.
Python's `re` Library for Text Manipulation
Libpostal for Address Parsing and Expansion
Geocoding Libraries and APIs
The Iterative Nature of Pipeline Development
Address Standardization Pipeline
The session involved troubleshooting Python code using the `openpyxl` and `pandas` libraries to read Excel files. The Student encountered issues with package installation, file access permissions, and specifying the correct sheet name within the Excel file. The Tutor guided the student in resolving these issues and a follow-up session was scheduled.
File Access Permissions
File Path Issues
Reading Excel Files with openpyxl
Installing Packages with pip
Virtual Environments (venv) vs. Global Packages
Ifedayo provided assistance to a student from the University of St. Francis in Joliet on a data engineering task. The lesson centered on refining dimension and fact table designs within SQL Server. They meticulously reviewed table schemas, primary key assignments, and data types, also troubleshooting issues related to table creation and visibility. The next lesson will focus on the property and school tables.
Dimension Table
Primary Key
Composite Primary Key
Schema Design
Ifedayo guided Aminata through an Excel lesson where they focused on data analysis using filtering and sorting functions. They also covered freezing rows and columns. Aminata gained hands-on experience applying different filter types to date, numeric, and text columns, and practiced sorting data across multiple columns. For her next lesson, Aminata plans to independently practice freezing panes and further refine her sorting and filtering skills.
Filtering Data
Sorting Data
Freezing Panes
Custom Sort
Ifedayo assisted Alexa in enhancing her Excel data transformation skills. During their lesson, they utilized Power Query to convert raw data into a billing-ready format, concentrating on data cleaning, date formatting, and implementing conditional logic for service codes. Alexa's next steps involve practicing changing the data source and refreshing the query to ensure a consistent workflow.
Changing Data Source
Date Transformation
Custom Columns
Power Query Editor
Interactive data science classes
Note taking
Chat for quick help
Open Q&A
Record lessons
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Every tutor is interviewed and selected for subject expertise and teaching skill.