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Expert Top-rated Data Science tutor
Data science taught by trusted tutors in the USA
Data science tutoring with real-world context
Data science lessons delivered by USA tutors
Lessons delivered by professionals in Tucson, Fresno
Steven taught 27 days ago
Steven guided Nancy through several Excel projects, focusing on data validation, scenario analysis with 'What-If Analysis' tools, and macro creation and implementation. They engaged in various exercises to deepen Nancy's understanding of these Excel functionalities. A follow-up lesson is planned for the next week to tackle remaining assignments.
Data Validation
Macros
Solver Add-in
Named Ranges
SUMIF & SUMPRODUCT
Steven taught 28 days ago
Steven provided support to Nancy on her Excel projects, delving into areas like worksheet manipulation, data consolidation, number formatting, and advanced functions such as INDEX, XMATCH, and SUMIFS. They achieved 100% on both of the two assignments they tackled. Nancy's next task involves a different project from her school's canvas, scheduled for tomorrow.
Selecting Multiple Worksheets
Autofill & AutoFit
Absolute vs. Relative References
INDEX & XMATCH Functions
SUMIFS Function
Merge & Center
Steven taught about 1 month ago
Steven and a learner from the University of Texas at San Antonio collaborated on restructuring an Excel spreadsheet designed for tracking sitter data at a hospital. The learner gained valuable skills in optimizing the sheet for scalability, effectively utilizing tables for unstructured data, and developing a summary sheet for automated updates. They outlined specific metrics to define and plan to continue their work on the summary sheet in the next lesson.
Freeze Panes
Data Scaling (Rows vs. Columns)
Transpose Function
Excel Tables
COUNTIF Function
Parneet taught about 1 month ago
Parneet guided Barry through several advanced Excel functions, including data validation, removing duplicates, flash fill, pivot tables, and keyboard shortcuts to boost efficiency. Barry gained practical experience by applying these functions to a real-world dataset, also learning how to protect sheets and create interactive elements. They successfully resolved a past issue Barry had encountered with automatic decimal placement in Excel.
Data Validation (List)
Flash Fill
Pivot Table
Protect Sheet
Excel Shortcuts (Ctrl+F/H)
Steven taught about 1 month ago
Steven assisted Nancy with an Excel project, specifically focusing on creating and formatting pie charts using revenue data. They encountered limitations with the web version of the Excel application, which prevented them from completing all the instructions. To overcome these hurdles, they agreed to use Steven's full version of Excel in their next lesson, with a follow-up lesson scheduled for later that evening and another for the following Tuesday.
Pie Chart Creation in Excel
Excel Version Feature Differences
Chart Object Manipulation
Chart Legend Functionality
Steven taught about 1 month ago
Steven assisted a student from the University of Texas at Austin with creating box plots in Excel using call data, focusing on data sorting, filtering, and cleaning to resolve inconsistencies in the dataset. They also explored downloading and formatting stock data from Yahoo Finance for future analysis. The student will review her projects and prepare a list of topics to discuss at the next lesson on Thursday the 25th at 9:00 a.m. Eastern.
Box Plot Data Preparation
Excel Data Sorting
Data Cleaning (Dirty Data)
Excel Filters for Data Inspection
Excel Add-in Chart Limitations
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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