Python
Programming & automation
Python · Machine Learning · Generative AI
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.
Build Practical Expertise
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
Connect each tool to a practical part of the learning journey.
Programming & automation

Interactive analysis
Data preparation

Numerical computing
Data visualization

Statistical graphics

Machine learning
Database analysis

Deep learning

Neural networks

Practical tools for your coursework

Cloud notebooks
Cloud services & deployment
Relational databases & SQL
Workflow automation
The Complete Learning Path
Updated from the Data Science & AI cohort curriculum.

Who’s Your Instructor?
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.
Senior Data Specialist

Business intelligence & valuation
Practical training for data professionals
Learn With Muhammad Abbas.
Learn With Your InstructorPractice With Purpose
Explore the existing SQL, Python and machine learning project library. The curriculum above also includes deployment projects and AI capstones.

Customer-data exploration and SQL practice using a sweepstakes dataset.
Cleaning and exploring global life-expectancy and socioeconomic data.

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

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

A SQL project using the 365 Technologies course datasets.

Evaluate promotional campaigns, sales uplift and discount performance.

Use Python to investigate occupancy and revenue across hotel properties.

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

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

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

Analyze pharmaceutical sales, margins, returns and inventory performance.

Build and evaluate an insurance-premium prediction model.

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

Connect e-commerce analysis with regression and classification tasks.

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

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

Explore supervised-learning tasks across vehicle sales, leads and servicing.
From Learning To Application
Freelancing scope
Build a portfolio around clear business problems and well-defined deliverables.
Clean and combine datasets, explore patterns and explain the findings.
Clean dataset · Analysis notebook · Findings reportHelp businesses understand performance through interactive reports.
Python visualization · SQL reporting · KPI analysisDevelop and evaluate models for suitable business prediction tasks.
Prediction model · Evaluation report · Demonstration appApply language models and automation to scoped business workflows.
Document search · Text analysis · Workflow prototypeExamples of possible services, not guarantees of work or income. Client needs, experience and the quality of your work shape opportunities.
Our learning community
Our participants come from organizations across finance, technology, manufacturing and services.






























Organizations represented by our participants, as listed in the course brochure.
From Our Data Science & AI Learners
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.
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
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.View Profile ↗
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.View Profile ↗
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.View Profile ↗
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.View Profile ↗
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.View Profile ↗
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.
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.
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.View Profile ↗
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.
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!View Profile ↗
Plan Your Learning
Contact admissions for current course fees, payment options and enrollment details.
A Little More Clarity
Python, SQL, mathematics and statistics, supervised and unsupervised learning, deep learning, NLP, generative and agentic AI, MLOps, deployment and career preparation.
The current cohort outline contains 10 chapters and 80 lessons, including capstones, two virtual internship topics, portfolio preparation and interview preparation.
No. Power BI, Tableau, Excel and ChatGPT are not listed as tools taught in this Data Science & AI course.
Muhammad Abbas, Senior Data Specialist at Revolut Inc. UK and founder of Analytix Camp.
Contact admissions for enrollment options, fees and delivery details. The numbers and email addresses are available on our Contact Us page.
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