About Data Analyst
The Mayexa Technologies Data Analyst course outline covers spreadsheet analysis, SQL, Python, statistics, data cleaning and visualization. The learning focus is turning a business question into a traceable analysis.
How to approach this learning path
An illustrative exercise is to clean a small synthetic dataset, explain missing values and produce a report with clear definitions. Compare a chart with its underlying rows before drawing conclusions. Review the listed visualization tools and confirm software or licensing needs for the chosen batch.
Review the course outline
The modules below describe the learning topics to discuss. Confirm the final syllabus, prerequisites, duration, learning format, batch availability and any software requirements before enrolment. Contact for Pricing.
Related reading
Read the Mayexa Technologies course selection guide or compare all courses.
Who can join?
Discuss your current experience and learning goals before enrolment. Entry requirements are to be confirmed.
What do you need before starting?
A suitable computer and basic digital familiarity are suggested. Course-specific preparation will be confirmed.
YOUR LEARNING PATH
Course curriculum
01Fundamentals of Data Analytics3 lessons
Explore Fundamentals of Data Analytics through explanation, examples and practice. Added lesson suggestions require owner review.
Explain the main ideas in Fundamentals of Data Analytics and demonstrate a reviewed practical exercise.
Useful questions and reliable data
Original suggested lesson for review; practice with sample material and check your work.
Analysis and interpretation
Original suggested lesson for review; practice with sample material and check your work.
Presenting an actionable finding
Original suggested lesson for review; practice with sample material and check your work.
02Excel for Data Analysis3 lessons
Explore Excel for Data Analysis through explanation, examples and practice. Added lesson suggestions require owner review.
Explain the main ideas in Excel for Data Analysis and demonstrate a reviewed practical exercise.
Working with clean spreadsheet data
Original suggested lesson for review; practice with sample material and check your work.
Formulas and structured tables
Original suggested lesson for review; practice with sample material and check your work.
Charts and practical reports
Original suggested lesson for review; practice with sample material and check your work.
03SQL for Data Querying3 lessons
Explore SQL for Data Querying through explanation, examples and practice. Added lesson suggestions require owner review.
Explain the main ideas in SQL for Data Querying and demonstrate a reviewed practical exercise.
Selecting and filtering records
Original suggested lesson for review; practice with sample material and check your work.
Joins and aggregation
Original suggested lesson for review; practice with sample material and check your work.
Checking query results
Original suggested lesson for review; practice with sample material and check your work.
04Python for Data Analysis3 lessons
Explore Python for Data Analysis through explanation, examples and practice. Added lesson suggestions require owner review.
Explain the main ideas in Python for Data Analysis and demonstrate a reviewed practical exercise.
Data types and functions
Original suggested lesson for review; practice with sample material and check your work.
Working with files and data
Original suggested lesson for review; practice with sample material and check your work.
Testing a practical script
Original suggested lesson for review; practice with sample material and check your work.
05Data Visualization (Power BI / Tableau)3 lessons
Explore Data Visualization (Power BI / Tableau) through explanation, examples and practice. Added lesson suggestions require owner review.
Explain the main ideas in Data Visualization (Power BI / Tableau) and demonstrate a reviewed practical exercise.
Choosing a suitable chart
Original suggested lesson for review; practice with sample material and check your work.
Building clear dashboards
Original suggested lesson for review; practice with sample material and check your work.
Explaining results and limitations
Original suggested lesson for review; practice with sample material and check your work.
06Statistics & Analytics Fundamentals3 lessons
Explore Statistics & Analytics Fundamentals through explanation, examples and practice. Added lesson suggestions require owner review.
Explain the main ideas in Statistics & Analytics Fundamentals and demonstrate a reviewed practical exercise.
Useful questions and reliable data
Original suggested lesson for review; practice with sample material and check your work.
Analysis and interpretation
Original suggested lesson for review; practice with sample material and check your work.
Presenting an actionable finding
Original suggested lesson for review; practice with sample material and check your work.
07Data Cleaning & Preprocessing3 lessons
Explore Data Cleaning & Preprocessing through explanation, examples and practice. Added lesson suggestions require owner review.
Explain the main ideas in Data Cleaning & Preprocessing and demonstrate a reviewed practical exercise.
Missing and inconsistent values
Original suggested lesson for review; practice with sample material and check your work.
Validation and transformations
Original suggested lesson for review; practice with sample material and check your work.
Documenting cleaning decisions
Original suggested lesson for review; practice with sample material and check your work.
08Business Analytics & Insights3 lessons
Explore Business Analytics & Insights through explanation, examples and practice. Added lesson suggestions require owner review.
Explain the main ideas in Business Analytics & Insights and demonstrate a reviewed practical exercise.
Useful questions and reliable data
Original suggested lesson for review; practice with sample material and check your work.
Analysis and interpretation
Original suggested lesson for review; practice with sample material and check your work.
Presenting an actionable finding
Original suggested lesson for review; practice with sample material and check your work.
What you will explore
Understand the fundamentals
Produce a reviewed practical example
Tools and technologies
Who can discuss this course
Explore practical applications
Practical exercises
Suggested guided tasks using sample material.
Reviewed learning outline
Discuss the final syllabus and preparation before joining.
Learning-format discussion
Online/classroom availability and batch schedules require confirmation.
CLEAR ANSWERS
Frequently asked questions
What is covered in Data Analyst?
The Mayexa Technologies Data Analyst course outline covers spreadsheet analysis, SQL, Python, statistics, data cleaning and visualization. The learning focus is turning a business question into a traceable analysis. Review the module outline and discuss the practical work appropriate to your starting level.
What does the course cost?
Contact for Pricing. Fees and any software costs are confirmed before enrolment.
What are the duration and learning format?
Duration, online/classroom availability and batch timing require confirmation; no fixed schedule is claimed here.
What should I confirm before enrolment?
Confirm the final syllabus, prerequisites, practical work, duration, learning format, schedule, fees and software access for your course arrangement. The published outline does not announce an available batch or promise a job or examination result.
Are placement or certification guaranteed?
No placement guarantee or unverified accreditation is claimed. Ask for approved certificate details, if applicable.