Expert Top-rated Data Science tutor
Data science taught by trusted tutors in the USA
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Data science lessons delivered by USA tutors
Lessons delivered by professionals in Tucson, Fresno
Steven taught 1 day ago
The Student and Tutor reviewed essential Excel skills, beginning with data import and structure using the 'Text to Columns' feature. They then focused on transforming data ranges into Excel Tables, highlighting the benefits of tables for data management, filtering, sorting, and dynamic formulas. The session concluded with an introduction to basic formulas and conditional functions like SUM and SUMIFS.
CSV Data Import and Text to Columns
Excel Tables vs. Ranges
Data Formatting and Data Types
Sorting and Filtering Data
Excel Functions vs. Formulas
Ashley taught 3 days ago
The Student and Tutor reviewed advanced Excel functions, specifically the `GETPIVOTDATA` function, its application in building dashboards, and the structure of Excel formulas. They practiced retrieving specific data points from pivot tables and discussed building automated workflows. The homework assignment involves creating a cleaner dashboard with KPIs broken down by cleaner name and service type, utilizing `GETPIVOTDATA` formulas.
Calculating Average Revenue Per Job
Dynamic Date Updates with the `TODAY()` Formula
The `GETPIVOTDATA` Function: Extracting Specific Information from Pivot Tables
Data Flow and Dependencies in Excel Dashboards
Neha taught 4 days ago
The Student learned how to link Excel data to PowerPoint using Think-Cell, practiced creating various chart types (column, waterfall, pie, Gantt), and explored chart properties for customization. They practiced with sample data and discussed trying the techniques with their own data. A follow-up session was scheduled to continue with more advanced features.
Linking Excel Data to PowerPoint with Think-Cell
Cleaning Data with Text to Columns
Different Chart Types and Their Applications
Customizing Charts in PowerPoint
Waterfall Charts for Profit Bridge Analysis
Gantt Charts for Timeline Visualization
Steven taught 6 days ago
The Tutor guided the Student through using `IFS`, `SEARCH`, `ISNUMBER` and `VLOOKUP` in Excel to extract data based on a priority and assign compliance values. The Student reviewed initial steps, including cleaning and sorting data using `TEXTJOIN` and `FILTER` functions. The Student will review a previous lesson with their instructor on Tuesday, but requested an extension to include this lesson as well.
IFS Function with Search
ISNUMBER Function
VLOOKUP for Data Extraction
Text Join and Filter Function
Cleaning Data for Exact Matches
Steven taught 7 days ago
The class focused on using Excel pivot tables and pivot charts to analyze recruitment data, specifically examining metrics like 'time to fill' by recruiter, role, and location. The Student practiced creating and customizing pivot tables and charts to gain insights, and it was planned for the Student to apply these skills to their own data and schedule follow-up sessions for specific questions.
Data Transformation to Tables
Introduction to Pivot Tables
Pivot Table Value Field Settings
Adding Multiple Layers to Pivot Tables
Pivot Charts for Visualization
Steven taught 7 days ago
The student and tutor worked through an Excel assignment focused on data analysis and categorization. They practiced filtering, cleaning, and transforming data using functions like `COUNTIF`, `FILTER`, `TEXTJOIN`, and `IFS` to determine family visit categories. The next session is planned to complete the formula for identifying the top priority visit category.
Data Cleaning and Preparation
Using Tables in Spreadsheets
Advanced Excel Functions: FILTER and TEXTJOIN
Understanding Spill Errors and Absolute References
Conditional Logic with IFS and SEARCH
Data science tutoring with real-world context
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.
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