Ifedayo Owolabi
Data Whisperer: Interactive Expert Crafting Practical Solutions with Python




Data Science tutor - Ifedayo Owolabi
Bachelors degree
/ 30 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
Predictive modeling
Machine learning
Data visualization
Debugging
Upskilling
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 concept taught by Ifedayo
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.
Power Query Editor
Custom Columns
Date Transformation
Changing Data Source
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.
PowerBI Desktop vs. Cloud
Dataverse
PowerBI Report vs. Dashboard
Pinning Visuals
Ifedayo guided Lea through creating various visualizations in PowerBI, such as tables, clustered column charts, stacked bar charts, and donut charts. Lea actively practiced formatting these visuals, adding borders, and publishing the completed report. The next lesson will delve deeper into PowerBI, specifically focusing on the nuances of publishing reports.
Date Hierarchy
PowerBI Report View
Data Pane
Visualization Pane
Visual Interactivity
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.
Custom Column (Combining Fields)
Delimiter
Power Query Editor
PowerBI Dashboard
PowerBI Desktop vs. Cloud
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.
Power Query Data Source
Excel Sheet Renaming
Creating Excel Templates
Excel Date Formatting
Clearing Excel Data
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
Your data science tutor also teaches
Data Analysis
Databases
Machine Learning
Power BI
Python
Tableau
Free lesson slots
1 / 1
Learner types for data science class
Adult / Professional
College
Anxiety or Stress Disorders
All Levels
Home schooled
School
Interactive data science classes
Chat for quick help
Open Q&A
Note taking
Record lessons

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