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Trusted teacher
This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
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Since February 2022
Instructor since February 2022
Excel and Power BI for everyone, tutoring and freelance
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From 82.96 C$ /h
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Learn how to use Microsoft Excel and harness the power of data with charts, tables, formulas, automation and more.

Hi, my name is Esteban, Data Scientist in Accenture, I have +3 years of experience in tutoring and freelance with Microsoft Excel and Power BI.

Topics you can learn with me are:
- Excel & Power BI basics
- Formulas
- Creating charts
- Pivot tables
- Filters
- Data Analysis
- Power query
- Macros & VBA
Extra information
Remote
Location
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Online from Colombia
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
30 minutes
45 minutes
60 minutes
90 minutes
120 minutes
The class is taught in
English
Spanish
Availability of a typical week
(GMT -05:00)
New York
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Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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Oussama
Your project is broken? Deadline approaching? Can't deploy? I help developers and students fix bugs, optimize code, and deploy applications to production.
I Specialize In:

Emergency Debugging: Find and fix errors fast (frontend crashes, backend timeouts, database issues)
Deployment Rescue: Get your app live when nothing works (AWS, Vercel, Netlify)
Performance Optimization: Speed up slow applications (database queries, API responses, bundle size)
CI/CD Setup: Automate your deployment pipeline (GitHub Actions, testing, monitoring)

Common Problems I Solve:

❌ "My app works locally but crashes in production"
❌ "Database queries are too slow"
❌ "Authentication isn't working"
❌ "Can't deploy to AWS / Vercel"
❌ "Getting weird errors I don't understand"
❌ "Payment integration (Stripe) not working"

Technologies I Work With:

Frontend: React, Next.js, TypeScript, Vue, Angular
Backend: Node.js, NestJS, Express, Python (Django, Flask)
Databases: PostgreSQL, MySQL, MongoDB, Redis
Cloud: AWS (EC2, RDS, S3), Vercel, Netlify, Render
DevOps: Docker, CI/CD, GitHub Actions, Nginx

Perfect For:

Students: Fix your project before the deadline
Junior Developers: Debug production issues you can't solve alone
Freelancers: Get unstuck on client projects fast
Startups: Fix and deploy your MVP without hiring a full-time engineer

How It Works:

Live Debugging Session: We fix it together via screen share
Code Review: I show you how to prevent the issue in the future
Documentation: You get a summary of what was fixed and why

Average Resolution Time:

Simple bugs: 1-2 hours
Deployment issues: 2-3 hours
Complex debugging: 3-5 hours

Urgent projects accepted (same-day availability for emergencies).
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Durga
Hello and Welcome!

I am a certified corporate programming trainer specializing in Python and Data Analysis, with over a decade of experience in tutoring and software development. My goal is to make programming approachable and engaging by helping learners build a strong foundation and grow into confident, independent coders.

Over the years, I have trained students across different levels and backgrounds in Python programming, automation, and data analytics. I emphasize hands-on, practical learning supported by clear explanations and real-world examples. My teaching approach focuses on understanding core concepts, writing efficient code, and developing problem-solving skills that can be applied in professional and academic settings.

Courses Offered

1. Basic Python Programming
This course is designed for beginners who want to build a solid foundation in Python.
Topics include:
Introduction to Python and environment setup
Variables and data types
Operators and expressions
Conditional statements
Types of loops and loop control
Functions and scope
Data structures: lists, tuples, sets, and dictionaries
Mini projects and problem-solving exercises

2. Advanced Python Programming
This course is designed for learners who already know the basics of Python and want to explore its advanced features.
Topics include:
Lambda functions and list comprehensions
Generators, yield, and closures
Decorators
Object-Oriented Programming (classes, inheritance, polymorphism, encapsulation)
File handling and exception handling
Mini projects integrating multiple concepts

3. Data Analysis Using Python (NumPy and Pandas)
This course introduces essential tools for data manipulation and analysis using Python libraries.
Topics include:
Working with NumPy arrays
Using Pandas DataFrames and Series
Data cleaning, filtering, and transformation
Handling missing values and duplicates
Grouping, aggregation, and pivot tables
Exporting data to CSV and Excel
Real-world exercises with sample datasets
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Contact Esteban
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1st lesson is backed
by our
Good-fit Instructor Guarantee
Similar classes
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Oussama
Your project is broken? Deadline approaching? Can't deploy? I help developers and students fix bugs, optimize code, and deploy applications to production.
I Specialize In:

Emergency Debugging: Find and fix errors fast (frontend crashes, backend timeouts, database issues)
Deployment Rescue: Get your app live when nothing works (AWS, Vercel, Netlify)
Performance Optimization: Speed up slow applications (database queries, API responses, bundle size)
CI/CD Setup: Automate your deployment pipeline (GitHub Actions, testing, monitoring)

Common Problems I Solve:

❌ "My app works locally but crashes in production"
❌ "Database queries are too slow"
❌ "Authentication isn't working"
❌ "Can't deploy to AWS / Vercel"
❌ "Getting weird errors I don't understand"
❌ "Payment integration (Stripe) not working"

Technologies I Work With:

Frontend: React, Next.js, TypeScript, Vue, Angular
Backend: Node.js, NestJS, Express, Python (Django, Flask)
Databases: PostgreSQL, MySQL, MongoDB, Redis
Cloud: AWS (EC2, RDS, S3), Vercel, Netlify, Render
DevOps: Docker, CI/CD, GitHub Actions, Nginx

Perfect For:

Students: Fix your project before the deadline
Junior Developers: Debug production issues you can't solve alone
Freelancers: Get unstuck on client projects fast
Startups: Fix and deploy your MVP without hiring a full-time engineer

How It Works:

Live Debugging Session: We fix it together via screen share
Code Review: I show you how to prevent the issue in the future
Documentation: You get a summary of what was fixed and why

Average Resolution Time:

Simple bugs: 1-2 hours
Deployment issues: 2-3 hours
Complex debugging: 3-5 hours

Urgent projects accepted (same-day availability for emergencies).
verified badge
Durga
Hello and Welcome!

I am a certified corporate programming trainer specializing in Python and Data Analysis, with over a decade of experience in tutoring and software development. My goal is to make programming approachable and engaging by helping learners build a strong foundation and grow into confident, independent coders.

Over the years, I have trained students across different levels and backgrounds in Python programming, automation, and data analytics. I emphasize hands-on, practical learning supported by clear explanations and real-world examples. My teaching approach focuses on understanding core concepts, writing efficient code, and developing problem-solving skills that can be applied in professional and academic settings.

Courses Offered

1. Basic Python Programming
This course is designed for beginners who want to build a solid foundation in Python.
Topics include:
Introduction to Python and environment setup
Variables and data types
Operators and expressions
Conditional statements
Types of loops and loop control
Functions and scope
Data structures: lists, tuples, sets, and dictionaries
Mini projects and problem-solving exercises

2. Advanced Python Programming
This course is designed for learners who already know the basics of Python and want to explore its advanced features.
Topics include:
Lambda functions and list comprehensions
Generators, yield, and closures
Decorators
Object-Oriented Programming (classes, inheritance, polymorphism, encapsulation)
File handling and exception handling
Mini projects integrating multiple concepts

3. Data Analysis Using Python (NumPy and Pandas)
This course introduces essential tools for data manipulation and analysis using Python libraries.
Topics include:
Working with NumPy arrays
Using Pandas DataFrames and Series
Data cleaning, filtering, and transformation
Handling missing values and duplicates
Grouping, aggregation, and pivot tables
Exporting data to CSV and Excel
Real-world exercises with sample datasets
Good-fit Instructor Guarantee
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Contact Esteban