Analytix Camp

Python · Machine Learning · Generative AI

Data Science& Artificial Intelligence

From Your First Python Script To AI Applications You Can Deploy.

Build a connected understanding of Python, SQL, mathematics and statistics, then progress into supervised and unsupervised machine learning, deep learning and NLP. Learn how to prepare data, evaluate models and explain the decisions behind your work.

Go further with generative AI, agentic systems and production workflows. The curriculum connects RAG, LangChain, AWS, model deployment and monitoring with end-to-end projects, capstone work and career preparation.

Curriculum10 ChaptersA Complete Learning Path
Course Content80 LessonsFoundations To Production
Training120 HoursAs Listed In The Cohort Outline
Applied LearningML + AIProjects & Capstone Work

Build Practical Expertise

Learn With Purpose.
Apply With Confidence.

Build a connected understanding of Python, SQL, mathematics and statistics, then progress into supervised and unsupervised machine learning, deep learning and NLP. Learn how to prepare data, evaluate models and explain the decisions behind your work.

Go further with generative AI, agentic systems and production workflows. The curriculum connects RAG, LangChain, AWS, model deployment and monitoring with end-to-end projects, capstone work and career preparation.

Skills You’ll Put To Work

Your Everyday
Toolkit.

Connect each tool to a practical part of the learning journey.

Python

Programming & automation

Jupyter Notebook

Interactive analysis

Pandas

Data preparation

NumPy

Numerical computing

Matplotlib

Data visualization

Seaborn

Statistical graphics

Scikit-learn

Machine learning

SQL

Database analysis

TensorFlow

Deep learning

PyTorch

Neural networks

Git & GitHub

Practical tools for your coursework

Google Colab

Cloud notebooks

AWS

Cloud services & deployment

PostgreSQL

Relational databases & SQL

n8n

Workflow automation

The Complete Learning Path

Explore The
Complete Curriculum.

Updated from the Data Science & AI cohort curriculum.

10 Chapters · 80 Lessons
Python01. Python Programming11 Lessons
  1. 1.1 Python Installation & Setup

  2. 1.2 Python Basics

  3. 1.3 Functions, Dictionaries, Tuples & File Handling

  4. 1.4 OOP — Classes, Objects & Exception Handling

  5. 1.5 Advanced Python

  6. 1.6 APIs, Logging, Testing & Databases

  7. 1.7 NumPy

  8. 1.8 Pandas & Data Manipulation

  9. 1.9 Data Visualization — Matplotlib & Seaborn

  10. 1.10 Project: EDA in Hospitality Domain

  11. 1.11 Project: Expense Tracking System

SQL02. SQL for Data Science3 Lessons
  1. 2.1 SQL Basics

  2. 2.2 Advanced SQL

  3. 2.3 SQL in Python

NumPy03. Mathematics & Statistics for Data Science6 Lessons
  1. 3.1 Descriptive Statistics

  2. 3.2 Probability Theory

  3. 3.3 Inferential Statistics

  4. 3.4 Linear Algebra

  5. 3.5 Calculus & Optimization

  6. 3.6 Correlation & Covariance

Scikit-learn04. Machine Learning — Supervised Learning13 Lessons
  1. 4.1 Introduction to Machine Learning

  2. 4.2 Data Preprocessing & Feature Engineering

  3. 4.3 Linear Regression

  4. 4.4 Regularization — Ridge, Lasso & Elastic Net

  5. 4.5 Logistic Regression

  6. 4.6 Support Vector Machines (SVM)

  7. 4.7 Naive Bayes

  8. 4.8 K-Nearest Neighbors (KNN)

  9. 4.9 Decision Trees

  10. 4.10 Ensemble Methods — Random Forest

  11. 4.11 Boosting Algorithms

  12. 4.12 Model Evaluation & Cross Validation

  13. 4.13 ML Project Lifecycle — Step by Step

Scikit-learn05. Machine Learning — Unsupervised Learning6 Lessons
  1. 5.1 K-Means Clustering

  2. 5.2 Hierarchical Clustering

  3. 5.3 DBSCAN Clustering

  4. 5.4 Silhouette Score & Cluster Evaluation

  5. 5.5 Principal Component Analysis (PCA)

  6. 5.6 Anomaly Detection

TensorFlow06. Deep Learning — Beginner to Advanced8 Lessons
  1. 6.1 Introduction to Deep Learning

  2. 6.2 Artificial Neural Networks (ANN)

  3. 6.3 Training Deep Networks

  4. 6.4 Convolutional Neural Networks (CNN)

  5. 6.5 Recurrent Neural Networks (RNN & LSTM)

  6. 6.6 Transfer Learning

  7. 6.7 Frameworks — TensorFlow & PyTorch

  8. 6.8 Deep Learning Project — End to End

TensorFlow07. Natural Language Processing (NLP)7 Lessons
  1. 7.1 Introduction to NLP & NLP Pipeline

  2. 7.2 Text Representation

  3. 7.3 Word Embeddings

  4. 7.4 Sentiment Analysis & Text Classification

  5. 7.5 Transformers & Attention Mechanism

  6. 7.6 Hugging Face — Pipelines, Tokenizers & BERT

  7. 7.7 NLP End-to-End Project

AWS08. Generative AI & Agentic AI8 Lessons
  1. 8.1 Introduction to Generative AI

  2. 8.2 Prompt Engineering

  3. 8.3 Vector Databases & Embeddings

  4. 8.4 Retrieval-Augmented Generation (RAG)

  5. 8.5 LangChain & LangGraph

  6. 8.6 AI Agents & Multi-Agent Systems

  7. 8.7 Gen AI on AWS Cloud (Amazon Bedrock)

  8. 8.8 Project: E-Commerce AI Chatbot

Git and GitHub09. MLOps, Deployment & Production12 Lessons
  1. 9.1 Git & GitHub

  2. 9.2 Docker & Containerization

  3. 9.3 MLflow & Experiment Tracking

  4. 9.4 DVC — Data Version Control

  5. 9.5 BentoML — Model Serving

  6. 9.6 Apache Airflow & ETL Automation

  7. 9.7 Model Monitoring — Grafana & PostgreSQL

  8. 9.8 AWS SageMaker for ML Deployment

  9. 9.9 Streamlit Web App Development

  10. 9.10 FastAPI for ML Model Serving

  11. 9.11 End-to-End ML Project with Full Deployment

  12. 9.12 End-to-End NLP Project with Hugging Face + Deployment

Python10. Capstone Projects, Internships & Career Preparation6 Lessons
  1. 10.1 Capstone Project 1 — ML in Finance / Healthcare

  2. 10.2 Capstone Project 2 — Gen AI Application

  3. 10.3 Virtual Internship 1 — Data Science Simulation

  4. 10.4 Virtual Internship 2 — AI Solutions

  5. 10.5 Portfolio Website & Online Credibility

  6. 10.6 Resume, ATS Optimization & Interview Prep

Muhammad Abbas
YOUR INSTRUCTOR
RevolutSenior Data Specialist
Revolut Inc. · UK

Who’s Your Instructor?

Industry Experience.
In Your Classroom.

Muhammad Abbas

Senior Data Specialist - Revolut Inc. UK

Founder of Analytix Camp, Muhammad combines analytics, business intelligence and finance. His teaching connects technical skills with the business questions behind the numbers.

Through case studies and hands-on exercises, he makes complex ideas easier to apply. He also shares practical learning through the Abbas Imami YouTube channel.

9+Years in analytics
200+Trainings delivered
25,000+Learners worldwide
EXPERIENCE BEHIND THE CLASSROOM
Current Role

Revolut Inc. · UK

Senior Data Specialist

Previous Experience

TechFlow

Business intelligence & valuation

Founder

Analytix Camp

Practical training for data professionals

Learn With Muhammad Abbas.

Learn With Your Instructor

Practice With Purpose

Build Work
You Can Explain.

Explore the existing SQL, Python and machine learning project library. The curriculum above also includes deployment projects and AI capstones.

365 Customer Sweepstakes

Customer-data exploration and SQL practice using a sweepstakes dataset.

World Life Expectancy

Cleaning and exploring global life-expectancy and socioeconomic data.

365 Ventures

A business-data SQL project using the 365 Ventures course materials.

365 Bakery

Bakery sales and employee analysis through business-focused SQL queries.

365 Technologies

A SQL project using the 365 Technologies course datasets.

365 Super Mart

Evaluate promotional campaigns, sales uplift and discount performance.

365 Hospitality

Use Python to investigate occupancy and revenue across hotel properties.

365 Men's Clothing Store

Explore retail margins, seasonality, store performance and data quality.

365 Food and Beverages

A Python analysis project using food-and-beverage business data.

365 Froth - The Coffee Bar

Explore a coffee-business dataset through a Python analysis workflow.

365 Emirates Pharma

Analyze pharmaceutical sales, margins, returns and inventory performance.

365 Noor Takaful Premium

Build and evaluate an insurance-premium prediction model.

365 Coffee Cafe

Work through data preparation, model selection, evaluation and business interpretation.

365 Noon E-Commerce

Connect e-commerce analysis with regression and classification tasks.

365 Real Estate

Build a Dubai residential-property price model and application workflow.

365 Emirates Bank

Develop a credit-risk classification model and Streamlit demonstration app.

365 Automobile

Explore supervised-learning tasks across vehicle sales, leads and servicing.

From Learning To Application

Skills That
Work Together.

01

Python Analysis & SQL Workflows

02

Predictive Models & Evaluation

03

NLP & Generative AI Applications

04

Deployment & Model Monitoring

Freelancing scope

Turn your skills into
useful client work.

Build a portfolio around clear business problems and well-defined deliverables.

Data preparation & analysis

Clean and combine datasets, explore patterns and explain the findings.

Clean dataset · Analysis notebook · Findings report

Dashboards & reporting

Help businesses understand performance through interactive reports.

Python visualization · SQL reporting · KPI analysis

Predictive modeling

Develop and evaluate models for suitable business prediction tasks.

Prediction model · Evaluation report · Demonstration app

AI & workflow applications

Apply language models and automation to scoped business workflows.

Document search · Text analysis · Workflow prototype

Examples of possible services, not guarantees of work or income. Client needs, experience and the quality of your work shape opportunities.

Our learning community

Professionals
we’ve trained.

Our participants come from organizations across finance, technology, manufacturing and services.

Dalda
Descon
Ghani Group
PTCL
TCL
Saudia Cargo
Bahria Town
Yousuf Adil
Al Jaber
24/7 Media
Diamond Textile
Habib Metropolitan Bank
SIUT
Motive
United Saudi Company
Faysal Funds
MG
Chase Securities
Munir Khanani Securities
Chase
Bank of Punjab
Maple Leaf Cement
Dexter
Blutech Consulting
Green Entertainment
The Citizens Foundation
Mobilink Bank
Pizza Hut
PIBT
Unilever

Organizations represented by our participants, as listed in the course brochure.

From Our Data Science & AI Learners

Real Experiences.
Practical Progress.

Explore All Testimonials ↗
IsmatData Science & AI
The instructor at Analyst Camp explains concepts clearly, encourages questions, and shares practical industry insights. The course is well-structured, beginner-friendly, and focused on real analytical skills through hands-on exercises. It helped me improve my confidence in data analysis, problem-solving, and using tools effectively for practical business scenarios in daily tasks.
Touseef LiaqatData Science & AI
It is a very useful and helpful course. I couldn't attend all classes online and I am now learning through portal but I must say it's a very useful course and instructors are subject matter experts who teach in an interactive manner and answer all queries effectively
Essa BabarData Science & AI
The course was very informative and practical. The instructor explained concepts in a simple and easy-to-understand way, which made learning enjoyable even for difficult topics. I especially liked the hands-on approach and real-world examples used during the sessions. The instructor was supportive, responsive, and always willing to help students whenever they had questions. Overall, it was a great learning experience, and I would highly recommend this course to anyone interested in improving their skills.
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Rehan HafeezData Science & AI
The instructor way of teaching is so awesome.I likes it and the course is also good because of instructor and the content they are teaching is really using in the recent days very well,and I also thankful for their cooperation because they will give me access of their llms more then 8 months I really like it.
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Muhammad UllahData Science & AI
Everything is great so far. I love the level of depths the Abbas and Nofil take us into. They genuinely make an effort to make us understand in easy terms. Coming from non-profit sector, i needed the insights on the commercial sectors though would have loved to provide some examples (I will try). Overall suggestions: 1. Great if there is some clarity on progress vz-a-viz course outline. Up until class we have largely worked on Power BI and now Ms Excel, but when who will be covering the other modules like SQL, Tableau, AI, AWS etc. and perhaps a detail breakdwon of what is covered in each module. 2. Sometimes its hard to get a response from Admin or teachers. I even used the google form query method but got a response after 2 weeks only after multiple reminders. Remaining Course: 1. I have enjoyed watching the recorded videos though more of our own batch 15 lectures recorded videos since they are relevant to group discussions and overall flow. I still don’t have clarity on until when will we have access to LMS? 2. Towards the end, we would appreciate if there are more practice projects and not too detailed instructions. I am loving the 365 Granny Project as it made me practice calculated column functions. Though I am attempting to do it on my own first and watch the videos later, can we also close to real datasets with minimum data set with a mock-up interview/call between the client and Data Analytix where the client needs are chalked and then that data set is given to students with only a para or 2 instructions on what the client to see in the dashboard. 3. I am ok with covering some topics from previous batches recorded videos but this does carry a risk of a) students don’t get the opportunity to ask questions b) files and dashboards are slightly different e.g. the batch 12 recorded video on Power BI Service (shown to us as Class 19 shows that the dashboard pages have tooltips and detailed insights which probably not covered in our case. This may suggest the need for a checklist of each module to standardize the content. 4. Overall its a great experience and I hope we will hear some feedback on our feedbacks too.
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Danish MouazamData Science & AI
This data analytics Analytix Camp offers an excellent, comprehensive curriculum, heavily elevated by Sir Abbas, an exceptional instructor whose clear and engaging teaching style makes complex concepts highly digestible. While the overall experience is incredibly positive and satisfying, the program could be further modernized by having Sir Abbas lead the entire course from day one and by transitioning the dashboarding modules from standard Power BI to the more integrated Microsoft Fabric environment. Overall, it delivers great practical value and highly recommended training for aspiring data professionals.
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Muhammad RohailData Science & AI
I’ve had a wonderful learning experience with analytics camp. The overall pace was pretty smooth and recorded lectures are instantly available for revision. Instructors have been really supportive and even after class hours, they respond to any questions that I’ve had. Overall the learning experience has really been great.
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Muhammad FarooqData Science & AI
I just attended initial three classes and after that I didn't get time on weekends to attend. My request is to get downloaded videos to watch it at my own pace. So my review is positive for these classes.
Mohammad AsadData Science & AI
The course was effective and helped me to really understand coding. I actually started to like coding because of the effective way sir shahzeb teaches and this is coming from someone who absolutely despised coding before getting enrolled this course. It really taught me python from basic as I didn't knew about python beforehand, I didn't even knew what vs code is.
Zunaira KhanData Science & AI
He is a highly cooperative and competent instructor who explains every concept clearly and effectively. He addresses all doubts promptly, patiently, and in great detail, ensuring complete understanding. His supportive teaching style, dedication, and excellent communication skills create a positive learning environment that helps students feel confident, motivated, and encouraged to learn.
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Adil khanData Science & AI
The Data Science & AI course was very informative and helpful. Sir Shahzeb was friendly, cooperative, and explained every point with patience and clarity. The learning environment was comfortable, and I gained valuable knowledge and practical skills throughout the course. It was a great experience overall. I would definitely recommend this course to anyone interested in starting their journey in Data Science and Artificial Intelligence.
Ansa NadeemData Science & AI
My name is Ansa Nadeem and recently I completed my Data Science and AI course from Analytic Camp. It was a really great learning experience for me. I learned Python, Data Analysis, Machine Learning, Excel, and many practical skills during this course. The trainers were very supportive and explained every concept in an easy and professional way. What I liked the most was the practical projects and hands-on tasks, because they helped me improve my confidence and skills. I’m really thankful to the whole team of Analytic Camp for their guidance and support. I would definitely recommend this course to anyone who wants to build a career in Data Science. Thank you!
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Plan Your Learning

Course Fees &
Enrollment.

Contact admissions for current course fees, payment options and enrollment details.

A Little More Clarity

Your Questions.
Answered.

What Does This Course Cover?

Python, SQL, mathematics and statistics, supervised and unsupervised learning, deep learning, NLP, generative and agentic AI, MLOps, deployment and career preparation.

What Is Included In The Updated Curriculum?

The current cohort outline contains 10 chapters and 80 lessons, including capstones, two virtual internship topics, portfolio preparation and interview preparation.

Is Power BI Part Of This Course?

No. Power BI, Tableau, Excel and ChatGPT are not listed as tools taught in this Data Science & AI course.

Who Will Teach Me?

Muhammad Abbas, Senior Data Specialist at Revolut Inc. UK and founder of Analytix Camp.

How Can I Join?

Contact admissions for enrollment options, fees and delivery details. The numbers and email addresses are available on our Contact Us page.

Your Next Step Starts Here

Register Your Interest.
Let’s Plan Your Next Step.

Interested in Data Science & Artificial Intelligence? Share your details and learning goals. Our admissions team will guide you through the course and enrollment options.

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