Ifedayo Owolabi
Data Whisperer: Interactive Expert Crafting Practical Solutions with Python
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Ifedayo Owolabi
Bachelors degree
Enroll after the free trial
Each lesson is 55 min
50 lessons
20% off
/ lesson
30 lessons
15% off
/ lesson
20 lessons
10% off
/ lesson
10 lessons
5% off
/ lesson
5 lessons
-
/ lesson
1 lessons
-
/ lesson
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
Business intelligence
Machine learning
Predictive modeling
Debugging
Data visualization
Learner types for data science class
Anxiety or Stress Disorders
Home schooled
College
School
All Levels
Adult / Professional
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 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.
Custom Sort
Freezing Panes
Sorting Data
Filtering Data
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
Lea Brown and Ifedayo Owolabi engaged in a discussion about the PowerBI ecosystem, drawing distinctions between PowerBI and Excel. During their lesson, they gained practical experience by pinning visuals to construct a dashboard within the PowerBI cloud service. Recognizing the need for more comprehensive PowerBI training, they decided to dedicate upcoming lessons to Lea's final project, which heavily features the platform.
Dataverse
PowerBI Desktop vs. Cloud
PowerBI Report vs. Dashboard
Pinning Visuals
Interactive data science classes
Open Q&A
Chat for quick help
Note taking
Record lessons
Data Science tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
