Data Analyse, Data Science,Python, excel, powerbi,
7 Yrs
Skills: Eda, Excel, Data Science, Data Analysis, Data Visualization, Data Cleaning, Power BI, SQL, Interview Preparation, Data Analytics, Statistics, Python, Pandas



Find a data analytics tutor online who actually teaches the tool you need — Excel, SQL, Python, or Power BI — not a generic bundled course. Compare verified profiles and book a free trial.
7 Yrs
Skills: Eda, Excel, Data Science, Data Analysis, Data Visualization, Data Cleaning, Power BI, SQL, Interview Preparation, Data Analytics, Statistics, Python, Pandas
1 Yrs
Skills: Tableau, Data Analysis with Excel, Access and Sql, Microsoft Excel, Microsoft power bi, Data Analytics, Python
2 Yrs
Skills: Analytical Packages (ms-excel, Ms-power Bi), Advanced & Basic Excel, Mysql, Ai and Data Analytics, Advanced Python, Microsoft power bi, Data Analytics
6 Yrs
Skills: Basic Html and Css, Ai and Data Analytics, Machine Learning, Data Visualization, Artificial Intelligence, SQL, HTML, CSS, core python, Advanced Python for Data Engineering, Advanced SQL for Data Engineering, Data Analytics, Python, Databases
6 Yrs
Skills: Advanced Soft Skills, Ai and Data Analytics, Soft Skills, Data Analytics
2 Yrs
Skills: Excel, Numpy, Pandas and Matplotlib, Data Visualization, Data Cleaning, Python Programming, Data Analytics
10 Yrs
Skills: Data Visualization, Data Cleaning, Microsoft power bi, Data Analytics
12 Yrs
Skills: Excel, Ms - Excel, Data Analytics
1 Yrs
Skills: A and As Computer Science, Computer Science, Data Analytics
2 Yrs
Skills: Excel, Git, Machine Learning, Feature Engineering, Data Science, Data Visualization, Data Cleaning, Statistical Analysis, Database Management Systems (dbms), Python Programming, Data Science with Python, Artificial Intelligence, Power BI, SQL, Data Analytics, NumPy, Pandas, Basic Excel, Macro Excel
9 Yrs
Skills: Advanced & Basic Excel, Eda, Basic Sql, Advanced Python, Database Management Systems (dbms), Advanced Excel, Microsoft Excel, Microsoft power bi, Data Analytics, NumPy, Pandas, Pivot Table
1 Yrs
Skills: Excel, R Programming Language, Tableau, Python Basics, Data Analysis, Data Visualization, Data Cleaning, Power BI, Tableau, SQL, Microsoft Excel, Microsoft power bi, Data Analytics, Statistics, Python, NumPy, Pandas
2 Yrs
Skills: A/l Science for Technology, Llm, A and As Computer Science, Numpy, Pandas and Matplotlib, Machine Learning, Deep Learning, Data Science, Data Visualization, Python Programming, Advanced Python for Data Engineering, Advanced SQL for Data Engineering, Machine Learning / AI Basics, Data Analytics, Statistics, Python, Mi
1 Yrs
Skills: Full Python, Python Basics, Ai and Data Analytics, Data Science, Python Programming, Web Development, Data Analytics, Python, Full Stack Web Development
2 Yrs
Skills: Dsa, Dsa (data Structures and Algorithms), Mean and Mern Stack, Mysql, Advanced Oops, Basic Sql, Api Development (restful Apis), Python Programming, core python, Data Analytics, Python
1 Yrs
Skills: Algorithm Design, Simulation (matlab), Advanced Python, Machine Learning, Data Science, Data Analysis, Data Visualization, Data Preprocessing, Python for Data Science, Data Analytics, Statistics, NumPy, Pandas
15 Yrs
Skills: Excel, Python for Ml and Data Analysis, Tableau, Python, Data Science, Python Programming, Power BI, SQL, Data Analytics
1 Yrs
Skills: Tableau, Sql, and Excel, Data Visualization, Power BI, Tableau, Advanced Excel, Microsoft Excel, Microsoft power bi, Advanced Python for Data Engineering, Advanced SQL for Data Engineering, Data Analytics
2.3 Yrs
Skills: Numpy, Pandas and Matplotlib, Data Analysis, Data Visualization, Python Programming, Data Science with Python, Data Analytics
5 Yrs
Skills: Power Bi Dashboard, Data Visualization, Power BI, Data Analytics
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Chat With Us"Data analytics" isn't one skill — it's an umbrella over at least five different tools, and most people searching for a data analytics tutor online actually need help with one or two of them, not all five. This page helps you figure out which tutor fits your specific gap, whether that's Excel pivot tables, SQL queries, Python with Pandas, or dashboarding in Power BI or Tableau.
Most working professionals don't need the full stack — they need whichever one or two tools their current job is starting to demand. Someone doing reporting in a BFSI or ops role often just needs solid Excel and SQL; someone moving toward a BI-adjacent role needs Power BI or Tableau layered on top.
Entry-level data analyst hiring increasingly looks for a project portfolio, not just certificates. A tutor who can guide you through building 2–3 real dashboards or a small end-to-end analysis project — using your own dataset, not a canned tutorial one — tends to matter more here than broad theory coverage.
Google Data Analytics, Microsoft Power BI, or IBM Data Science certifications each have a defined syllabus. If that's your goal, look for a tutor who'll explicitly map sessions to your certification's structure rather than teaching a generic analytics curriculum alongside it.
A few checks before you commit to a package:
Confirm the exact tools, not just "data analytics." A tutor's profile might list Excel, SQL, Python, and Power BI together, but depth varies a lot across those — someone strong in Excel and SQL isn't automatically strong in Python-based analysis. Check which tools they've actually taught in depth, not just listed as skills.
Ask to work with your own data in the trial session. Canned tutorial datasets are clean and predictable; real business data is messy. A tutor willing to walk through a genuinely messy spreadsheet or dataset in your trial tells you a lot about how practical the sessions will actually be.
Check whether they teach toward outputs, not just concepts. For analytics specifically, "can you build a working dashboard/report by the end of this" is a better filter than general teaching experience.
Depth and pacing vary by tutor and your starting point, but sessions generally build in this order:
Stage | Typical Focus | Duration |
|---|---|---|
Foundation | Excel (pivot tables, formulas, data cleaning), basic SQL queries, introductory statistics | 4–6 weeks |
Core tools | Advanced SQL, Python for analysis (Pandas, NumPy), dashboarding in Power BI or Tableau | 6–8 weeks |
Applied | A capstone project or portfolio piece — an end-to-end analysis or dashboard built on real or realistic data | 3–6 weeks |
Not every learner needs all three stages — someone already comfortable in Excel might start straight at the SQL/Python stage.
Rates vary by tool and tutor experience — a tutor teaching Excel fundamentals typically charges differently than one teaching Python-based machine learning basics or advanced Power BI DAX. Recent graduates building teaching experience and tutors with a decade of industry background both list on FindMyGuru, and their rates reflect that range. Check the specific tutor's profile for their rate rather than assuming a fixed market price — it varies enough by tool and depth that a single number would be misleading.
Every tutor profile is verified before it goes live. You can filter by the specific tool (Excel, SQL, Python, Power BI, Tableau), compare years of experience, read student feedback, and message a tutor directly before paying anything. The tutor pool genuinely ranges from early-career instructors teaching foundational Excel and SQL to tutors with a decade-plus in industry covering machine learning basics — worth checking a shortlist of two or three profiles rather than picking the first one, since teaching depth varies as much as the tool list does.
If you know which tool you need, browse data analytics tutors on FindMyGuru, filter by that specific skill, and book a free trial before committing to a package. If you work in analytics and want to teach, you can list your profile and set your own tool focus and rate.
Excel and SQL are generally the stronger starting point for most analyst roles, since they cover the day-to-day reporting and querying work most jobs actually require. Python is usually more valuable once you're moving toward deeper analysis, automation, or machine learning-adjacent work.
Not strictly — many analysts are hired on demonstrated project work and interview performance rather than certificates alone. A certification can help structure your learning and signal commitment, but a solid portfolio tends to matter more to hiring managers.
Yes. Excel- and SQL-based analytics work doesn't require traditional programming experience, and many tutors structure a path that introduces Python gradually once you're comfortable with the fundamentals.
Both are used widely in Indian industry, and the better choice often depends on what your target companies or sector use — Power BI tends to be more common where organisations are already on Microsoft tools, while Tableau shows up more in some analytics-heavy sectors. Check job postings in your target role if you're unsure.
This depends heavily on your starting point and target role — someone with strong Excel skills moving into a BI role takes less time than someone starting from scratch. A tutor who assesses your current level honestly in the trial session can give you a more realistic estimate than a fixed number.
Yes — many tutors on FindMyGuru will guide you through building actual dashboards or an end-to-end project rather than only covering theory. Worth confirming this explicitly before booking if a portfolio is your goal.