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Data science tutoring with real-world context
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Ashley taught 1 day ago
The Student and Tutor worked on advanced Excel functions, specifically IF, AND, and OR, to evaluate sales performance and bonus criteria. They then transitioned to creating and manipulating Pivot Tables using a sample dataset to analyze sales data by various criteria, with plans to continue practicing with a larger dataset.
IF Statements (Basic)
AND and OR Logic in IF Statements
Absolute Cell References ($)
Introduction to Pivot Tables
Pivot Table Field Placement
Steven taught 3 days ago
The session focused on advanced Excel functions and automation techniques. The Tutor demonstrated how to build complex conditional logic using `IFS` and `CONCAT`, and then explained data cleaning processes. The Tutor also introduced Excel macros and VBA as tools for automating reporting tasks, emphasizing the importance of clear data requirements.
IF Functions in Spreadsheets
Automating Function Creation with CONCAT
Data Cleaning: Handling Subtotal Rows
Introduction to Macros and Automation
Ashley taught 6 days ago
The class covered various Excel chart types, including column, bar, line, and pie charts, and how to create and customize them. The student practiced creating column and bar charts, and the tutor explained when to use each chart type effectively. Pivot tables were discussed as a potential topic for a future session.
Introduction to Charts and Graphs
Creating and Customizing Column Charts
Understanding Bar Charts vs. Column Charts
Appropriate Use of Pie Charts
Line Charts for Trends Over Time
Ashley taught 11 days ago
The Student and Tutor reviewed basic Excel formatting and then progressed to core Excel functions including SUM, AVERAGE, MIN, MAX, IF statements, and VLOOKUPs. The Student practiced applying these functions with provided examples and their own data, and future sessions will focus on pivot tables and further data analysis techniques.
Basic Excel Formulas (SUM
AVERAGE
MIN
MAX)
IF Statements
Text Functions (LEFT
RIGHT
LEN)
Steven taught 23 days ago
The session focused on understanding Excel spreadsheets, identifying data sources, and best practices for workbook design. The student reviewed existing spreadsheets, differentiating between hardcoded data and formula-driven results, and explored how to identify and work with pivot tables. Future sessions will involve gathering information on current processes to implement automation and streamline workflows.
Excel Navigation and Screen Sharing
Excel Worksheet Structure and Data Entry
Excel Formula Bar and Functionality
Excel Pivot Tables
Process Documentation for Automation
Steven taught 27 days ago
The Tutor and Student worked on validating data input for a screening form and discussed modifying code to allow alphanumeric position IDs. The Student was assigned to generate ideas for different features based on application tiers. They scheduled the next session to continue working on these issues.
Data Validation
Data Prefilling (Populating Fields)
String vs. Numerical Comparison
Accepting Special Characters in Strings
Data Science tutoring stats in the U.S.
Total Data Science tutors
312 Data Science tutors available
Expert Data Science tutors
82% hold a Bachelor’s degree
Data Science Industry experience
70% of tutors have worked in Data Science and Analytics
What to expect in data science
How to learn data science?
Data science is an interdisciplinary field that combines statistics, programming, and domain expertise to extract insights from data. Mastering data science can feel overwhelming due to its technical depth and vast applications. You might struggle with statistics, programming, and real-world problem-solving.
One major challenge you may face is understanding machine learning algorithms, data preprocessing, and statistical modeling. Studies show that 80% of a data scientist’s time is spent cleaning and preparing data, making it a crucial yet difficult skill to master.
Self-learning through online courses, books, and coding platforms can help you build foundational knowledge and cover theoretical concepts. However, a data science tutor can simplify technical topics, provide step-by-step explanations, and ensure hands-on practice with real-world datasets.
With data science expected to grow by 36% by 2031, acquiring the right skills is essential. Whether you’re debugging code, optimizing models, or working with large datasets, expert guidance accelerates your learning and ensures you gain practical knowledge for real-world projects.
Who should study from a data science tutor?
Struggling with complex algorithms
You may find it difficult to grasp advanced data science concepts, especially machine learning algorithms like decision trees, neural networks, and clustering. The mathematical foundations behind these topics can be complex, leading to confusion.
A data science tutor can break down these concepts into simple, digestible steps, provide real-world examples, and reinforce your learning through hands-on exercises.
Difficulty in debugging and coding efficiency
Writing optimized Python or R code, troubleshooting errors, and handling large datasets can be frustrating without proper guidance. Debugging issues, especially in large-scale projects, can take hours or even days.
A tutor helps you identify inefficiencies in your code, explains debugging techniques, and provides best practices to improve your coding workflow and accuracy.
Lack of real-world application experience
Transitioning from theoretical learning to solving practical problems can be challenging. Even after completing courses, you may struggle to apply your knowledge to real business cases or industry projects.
A data science tutor bridges this gap by offering guided projects, industry case studies, and personalized feedback to help you develop real-world problem-solving skills.
How to select the right data science tutor?
Educational Qualification
Look for data science tutors with a background in data science, statistics, or machine learning. If you’re an advanced learner, you’ll benefit from a tutor with industry experience.
Experience & Teaching Approach
A tutor with hands-on experience in AI, finance, or healthcare can help you gain practical insights.
Student Reviews & Testimonials
Choose private data science tutors with positive feedback from learners who have successfully transitioned into data science careers.
Affordability & Value
Data science tutors charge between $50 to $200 per hour, depending on experience and level of mentorship.
Finding the right data science tutoring can make a significant difference in your journey to mastering data science. Wiingy offers expert-vetted tutors at an affordable rate of $28 per session, ensuring high-quality learning at the best value. With structured guidance, personalized learning, and hands-on experience, you can develop the skills needed for a successful career in data science.
Frequently asked questions
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