USA

USA

Expert Top-rated Data Analysis tutor

Data analysis help from tutors in the USA

Free trial within 24 hr
100% vetted tutors
Data Analysis tutor in United States

Data analysis skills built with tutor help

Assignment help

Assignment help

Get expert help with analyzing & interpreting data sets

Machine learning

Machine learning

Apply ML techniques to analyze real data

Big data

Big data

Learn to process & analyze large scale datasets

AI development

AI development

Build simple AI models & learn core algorithm logic

Business intelligence

Business intelligence

Use data to make smart business decisions

keyLearning

Tutors guiding data analysis classes in the USA

Tutors guiding classes in Omaha, Colorado Springs, Boston

Ifedayo taught 17 days ago

The session involved troubleshooting Python code using the `openpyxl` and `pandas` libraries to read Excel files. The Student encountered issues with package installation, file access permissions, and specifying the correct sheet name within the Excel file. The Tutor guided the student in resolving these issues and a follow-up session was scheduled.

Virtual Environments (venv) vs. Global Packages

Installing Packages with pip

Reading Excel Files with openpyxl

File Access Permissions

File Path Issues

Show more

Sonali taught about 1 month ago

The Student and Tutor reviewed and practiced Excel formulas, specifically the IF, UNIQUE, and SORT functions. The student worked through examples, applying these functions to datasets. Next steps include moving onto HLOOKUP and VLOOKUP functions in the next session, after reviewing the JOIN function.

IF Formula

UNIQUE Function

SORT Function

Combining SORT and UNIQUE

Sorting Multiple Columns/Rows

Show more

Steven taught about 1 month ago

The Tutor guided the Student through creating and manipulating pivot tables in Excel using forecast data. The Student practiced adding dates, calculating forecast accuracy, and using standard deviation. The Student will practice these techniques on other datasets in future sessions.

Pivot Table Creation and Data Source

Pivot Table Refreshing

Pivot Table Layout: Rows and Values

Value Field Settings and Calculations

Standard Deviation (P) vs. Standard Deviation

Number Formatting: Currency vs Accounting

Generating Dummy Data with RANDBETWEEN

Show more

Steven taught about 1 month ago

The Tutor guided the Student through an Excel project, focusing on formatting, formulas, and printing options. The Student practiced editing data, applying various formatting techniques, and using formulas to perform calculations. The next session will focus on completing another project.

Freezing Panes in Excel

Merging and Unmerging Cells

Autosum and Functions (MAX

MIN)

Formatting Cells (Accounting Format)

Auto-fitting Columns

Show more

Dr. Gurinderjeet taught about 2 months ago

Dr. Kaur guided Noel through an exploratory data analysis lesson, utilizing Python to generate insightful visualizations from a dataset. Noel concentrated on enhancing different plot types, such as distribution, bar, and heat map charts, to dissect supplier reliability, disruption categories, and temporal trends. For their upcoming lesson, Noel is tasked with finalizing the data analysis, developing visualizations in Tableau, and preparing a presentation.

Correlation Heat Map

dt.period('M') in Pandas

Box Plot

Supplier Ranking by Delay

Show more

Steven taught about 2 months ago

Steven tutored Steven Lawrence on advanced Excel functions, including dynamic tables, absolute vs. relative cell references, and custom number formatting. Steven Lawrence will email the spreadsheet from the lesson to Steven for troubleshooting, and they plan to cover pivot tables in their next lesson.

Dynamic Formulas in Tables

Absolute vs. Relative References

Locking Rows/Columns ($)

Currency vs. Accounting Format

Moving Rows/Columns (Shift+Drag)

Chart Data Structure

Switch Rows/Columns in Charts

Show more

Tutors with expertise in data analysis tools

Gain subject mastery with personalized lessons from tutors

Excel tutor

Learn Excel from expert tutors for mastery

Python tutor

Learn python programming step by step

Statistics tutor

Statistics tutoring made simple for students

Learning the fundamentals of data analysis

All about learning data analysis

All about learning data analysis

Data analysis drives decision-making in business, healthcare, and tech. If you're skilled in this field, you can explore careers in data science, business analytics, or AI.

But learning data analysis isn’t always easy. You might struggle with statistics, programming, or working with large datasets. One of the biggest challenges? Data cleaning—analysts spend nearly 80% of their time just preparing messy data! Plus, without industry experience, it can be tough to draw meaningful insights.

So, how can you overcome these hurdles? A degree gives you a solid foundation, while bootcamps focus on fast, hands-on training. Online courses help you master Python, SQL, and visualization tools at your own pace. And if you want personalized support, private data analysis tutors can guide you through real-world projects and clear up doubts.

With data jobs growing 36% by 2033, gaining these skills now will set you up for success in a high-demand field!


Signs you need a data analysis tutor

Signs you need a data analysis tutor

Struggling with using data analysis tools

Struggling with data analysis tools? You're not alone—40% of learners find Python, R, SPSS, Power BI, Tableau, or Excel overwhelming. The interfaces, functions, and commands can be tricky without guidance. 

A tutor can offer hands-on lessons, tool-specific techniques, and help you navigate them with confidence.

University course preparation

Prepping for a university course? Concepts like data wrangling and inferential statistics can be tough. Many students also struggle with projects on predictive modeling or hypothesis testing. 

A private data analysis tutor can simplify these topics and offer personalized support. They can also guide you through assignments to strengthen your problem-solving and analytical skills.

Learning complex methods and applying to real world

30% of learners struggle with applying statistical tests like chi-square, regression, t-tests, and ANOVA to the real-world. Working with large datasets and applying these methods to projects like stock market modeling or business analytics can feel overwhelming. 

A tutor can simplify these concepts, help you interpret data accurately, and show you real-world applications to sharpen your analytical skills.


What to look for in a data analysis tutor?

What to look for in a data analysis tutor?

Technical expertise & teaching experience

When choosing a data analysis tutor, look for someone with a strong background in mathematics, data analysis, and essential tools like Python, R, SPSS, or Excel. A tutor with experience in teaching data analysis can help you grasp complex concepts, guide you through assignments, and support you in test preparation.

Ratings & reviews

Select a data analysis tutor online with 4+ star ratings and at least 10 positive reviews to ensure effective teaching and reliable support. Reading testimonials can help you find a tutor who understands your curriculum and offers personalized guidance for tackling difficult topics, preparing for tests, and mastering data analysis tools.

Affordability & flexible learning options

Private tutoring rates typically average at $30 per session, depending on the tutor’s experience and lesson format. At Wiingy, private data analysis tutoring starts at just $28/hour, and you get a free trial lesson to make sure the tutor is the right fit for you.

Frequently asked questions

What are the future prospects after learning Data Analysis?

Data analysis offers strong career prospects, with the data analytics market expected to reach $346.24 billion by 2030. You can pursue roles such as:Data Analyst: Analyze and interpret large datasets to help businesses make informed decisions.Data Scientist: Develop predictive models using machine learning algorithms to uncover insights.Business Analyst: Use data to improve business operations and guide strategic decisions.Market Research Analyst: Analyze consumer trends and market conditions to support business growth.

What are the key complex concepts in data analysis?

While learning data analysis, some challenging topics include:Multivariate Statistical Analysis TechniquesHigh-Dimensional Data & Dimensionality ReductionTime Series Analysis & ForecastingNon-Parametric MethodsHandling Missing Data & Imputation Techniques

What are the best ways to gain practical knowledge of data analysis tools?

You can gain practical knowledge of data analysis tools by: Hands-on Projects: Work on real-world datasets to apply data analysis techniques.Online Courses: Enroll in courses focused on tools like Python, R, SQL, and Tableau.Internships: Gain industry experience by working on data-driven projects.Competitions: Participate in data analysis contests (e.g., Kaggle) to challenge your skills.Self-Practice: Use open-source datasets to practice data cleaning, visualization, and modeling.

How can I learn data analysis for a new job?

You can learn data analysis for a new job in the following ways:Identify Job Requirements: Focus on tools and skills relevant to the job, like Excel, SQL, or Python as 92% of jobs require these skills.Structured Learning: Take online courses with practical assignments to build a strong foundation.Project Portfolio: Create a portfolio showcasing projects that demonstrate your analytical skills.Mentorship: Seek guidance from experienced professionals for career-specific advice.

How can I get a better understanding of real-world applications of data analysis?

To deepen your understanding of real-world data analysis applications, explore case studies that demonstrate how organizations leverage data for decision-making. Engaging in internships or project-based work allows you to apply theoretical knowledge to practical challenges, helping you understand the nuances of data interpretation. Networking with professionals through forums, webinars, and workshops exposes you to diverse industry perspectives and emerging trends.

How can a tutor help me manage a heavy data analysis assignment workload?

A tutor can provide:Guided Support: Tutors break down complex assignments into manageable tasks, thus reducing learning time by 50%.Concept Clarity: They help you understand the underlying concepts needed to solve problems.Time Management: Data analysis tutors can assist in creating study plans to meet tight deadlines efficiently.Feedback & Revisions: Provide constructive feedback to improve your analysis and reports.

How can you benefit from a data analysis tutor?

Working with a data analysis tutor offers expert guidance in statistical methods, data visualization tools, and programming languages like Python or R. Data analysis tutoring improves retention rates by 80% compared to self-study. Data analysis tutoring sessions are personalized to your learning goals, allowing you to focus on specific areas at your own pace. Tutors provide immediate doubt-clearing support and assist with assignments, helping you understand complex concepts while meeting deadlines.

How can I find a data analysis tutor near me?

To find a data analysis tutor, identify your needs—whether mastering Python, R, statistics, or assignment help. Explore university networks, tutoring centers, or online platforms for affordability. Private tutors typically cost $30 per session. Online platforms like Wiingy offer expert-vetted tutors worldwide, flexible scheduling, and interactive tools for hands-on learning. Wiingy provides quality tutoring at an average price of $28 per session, making it an affordable and convenient option for mastering data analysis skills efficiently.

Tutors in United States