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Data science taught by trusted tutors in the USA

Data science tutors for real-world problem solving
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Data science tutoring with real-world context

Data science lessons delivered by USA tutors
Lessons delivered by professionals in Tucson, Fresno
Dr. Gurinderjeet taught 2 days ago
Dr. Gurinderjeet Kaur guided Noel through subsetting data frames in Python with pandas, specifically covering `value_counts()`, `head()`, `reset_index()`, and `groupby()` functions. Noel's task involved identifying the top 20 hosts in an Airbnb dataset and verifying the number of properties each host managed. For their upcoming lesson, Dr. Kaur plans to delve deeper into resolving issues encountered with the `groupby()` function and its expected output.
Pandas value_counts()
Pandas head()
Variable Naming in Python
Pandas reset_index()
Dataframe Subsetting (Boolean Indexing)
Ifedayo taught 6 days ago
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.
Filtering Data
Sorting Data
Freezing Panes
Custom Sort
Ifedayo taught 13 days ago
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
Ifedayo taught 19 days ago
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.
PowerBI Report View
Data Pane
Visualization Pane
Visual Interactivity
Date Hierarchy
Lata taught 23 days ago
Lata assisted Alex with advanced Excel techniques, focusing on linking data between sheets using formulas, mastering cell formatting for a professional look, and understanding printing options. During their lesson, Alex practiced using the 'equals to' and 'concatenate' functions, and explored various formatting tools. Lata will provide Alex with a sanitized copy of the Excel file for future practice.
Cell Referencing Across Sheets
Merging Cells
Applying Cell Borders
CONCATENATE Function
CHAR(10) Function
Lata taught 27 days ago
Lata and Daisy collaborated on creating an expenses dashboard in Google Sheets, focusing on extracting insights from financial data. Daisy gained practical experience using functions like SUMIF, UNIQUE, and SUMIFS, applying them to generate month-wise and type-wise expense reports with graphical representations. Lata assigned further practice with the sheet and suggested pursuing Excel and data analysis certifications. Their next lesson is planned to cover pivot tables and VLOOKUPs.
Data Interpretation
Cross-Sheet Referencing
Text to Columns Function
SUMIF Function
UNIQUE Function
Data Science tutor for job readiness and more
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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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