Data Analyst Tutor Needed — Intensive 2-Month Program (Python, SQL, Excel, Power BI) Overview

Data Analyst Tutor Needed — Intensive 2-Month Program (Python, SQL, Excel, Power BI) Overview I'm looking for an experienced data analyst or data scientist to tutor me through a structured, self-directed curriculum over the next 2 months, with the goal of being fully job-ready and actively applying for Data Analyst roles by the end of the program. I already have a Master's degree in Data Science and have built out a complete week-by-week study plan — I need a tutor to guide me through it, review my work, unblock me when I get stuck, and run mock interviews at the end. This is not a "teach me from scratch with your own materials" role — I have the curriculum already mapped out day by day. I need someone who can teach to that curriculum, adapt it if needed, and keep me accountable to the timeline. What the Program Covers Python for data analysis — pandas, NumPy, data cleaning/wrangling (McKinney's Python for Data Analysis + DataCamp courses) Git & GitHub — version control fundamentals, branching, pull requests SQL — from basic SELECT statements through joins, aggregation, and window functions (DataCamp SQL Fundamentals, Teate's SQL for Data Scientists, and a MySQL-specific applied-projects course) Excel — PivotTables, VLOOKUP/XLOOKUP, dashboards Power BI — Power Query, DAX, interactive report building Applied statistics & visualization — hypothesis testing, A/B testing logic, data storytelling, R basics Portfolio building — one unified project demonstrating all four tools (Python/SQL/Excel/Power BI) against the same dataset Interview preparation — SQL and case-study interview practice, mock interviews Exact Tools I'll Be Using Category Tool / Platform Programming Python (pandas, NumPy) Version Control Git, GitHub Database SQL (MySQL) Spreadsheet Microsoft Excel Business Intelligence Power BI Statistical Computing R Online Courses DataCamp (Python, SQL, Excel, and Power BI skill tracks) Video Course Udemy — "The Ultimate MySQL Bootcamp" (Colt Steele) Exact Books I'll Be Using Book Author(s) Covers Python for Data Analysis (3rd ed.) Wes McKinney pandas, NumPy, data cleaning/wrangling SQL for Data Scientists Renée M. P. Teate SQL fundamentals through window functions and analytical dataset construction Storytelling with Data Cole Nussbaumer Knaflic Data communication and visualization design Fundamentals of Data Visualization Claus O. Wilke Visualization principles What I Need From a Tutor Weekly (or more frequent) live sessions — reviewing my progress, answering questions, unblocking me when I'm stuck on a concept or a bug Code/query/workbook review — actually looking at my Python notebooks, SQL scripts, Excel workbooks, and Power BI reports and giving real feedback, not just confirming things "run" Conceptual explanations, not just answers — I want to understand why something works, not just get unstuck Portfolio guidance — helping me shape my final project into something that actually holds up in an interview Mock interviews in the final week — SQL questions, case-study/business-sense questions, and a walkthrough of my portfolio Ideal Background Real professional experience as a Data Analyst, Data Scientist, or Analytics Engineer (not just familiar with the tools — has actually used them in a job) Strong SQL and Excel/Power BI skills specifically (this is the part most "Python-only" tutors are weaker on) Comfortable reviewing someone else's code and giving direct, specific feedback Prior tutoring, mentoring, or teaching experience preferred, but not required if you can clearly explain your reasoning Available for consistent sessions over a full 2-month period — I need continuity, not a rotating cast of tutors Logistics Duration: 2 months (approximately 8–9 weeks),