Program Details

Meet your instructor

Ahmed Faraz Khan

iSkillsWorld helps you in taking right choices in your career and life so you can live the life of your dreams and explore your fullest potential. iSkillsWorld is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners. Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey. Founded by Ahmed Faraz Khan & OmniSoftex.

Course Curriculum

✓Topics in computer science, algorithms; modern computer systems: hardware architecture, data representation in computers, software and operating system; installing Python; basic syntax, interactive shell, editing, saving, and running a script ✓The concept of data types; variables, assignments; immutable variables; numerical types; arithmetic operators and expressions; comments in the program; understanding error messages; ✓Conditions, boolean logic, logical operators; ranges; Control statements: if-else, loops (for, while); ✓Concepts of Lists, tuples, and dictionaries; basic list operators, replacing, inserting, removing an element; searching and sorting lists; dictionary literals, adding and removing keys, accessing and replacing values; traversing dictionaries. ✓Python libraries cover in this course ☒Numpy, pandas, TensorFlow/Keras, matplotlib, seaborn, sci-kit learn.

✓Python for data analysis ✓Intro to statistics ✓Inferential statistics ✓Regression ✓Hadoop and apache basics ✓ETL Processing ✓Data science methodology ✓Business Intelligence ✓Exploratory data analysis ✓Supervised machine learning

This module introduces several fundamental concepts and methods for machine learning. The objective is to familiarize the audience with some basic learning algorithms and techniques and their applications, as well as general questions related to analyzing and handling large data sets. Several software libraries and data sets publicly available will be used to illustrate the application of these algorithms. The emphasis will be thus on machine learning algorithms and applications, with some broad explanation of the underlying principles. The main topics covered are: ✓Basic machine learning concepts and examples. ✓Basic probability notions. ✓Nearest-neighbor algorithms. ✓Support vector machines. ✓Kernel methods. ✓Decision trees. ✓Ensemble methods (Boosting, Bagging). ✓Logistic regression. ✓Regression (linear regression, neural networks). ✓Clustering (K-means, DT clustering). ✓Introduction to reinforcement learning. ✓Elements of learning theory.

Cloud Computing provides an alternative to the on-premises datacenter. With an on-premises datacenter, we have to manage everything, such as purchasing and installing hardware, virtualization, installing the operating system, and any other required applications, setting up the network, configuring the firewall, and setting up storage for data Covers how ML use on Cloud including AWS, Azure, IBM and GCP

The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals, or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction ✓Basics of electronic design ✓Basics of Arduino and raspberry pi ✓Basic programming of embedded system ✓Concepts of I/O and sensor interfacing

This module covers the managerial skills of an IT project that how to manage a project technically. ✓Introduction LINUX ✓Introduction to GIT and integration with LINUX ✓Docker and Kubernetes concepts ✓DevOps Engineering basics ✓Agile methodologies ✓Scrum tools for Project management

Come out of this class as a

  • Python Developer


  • Engagement and interaction

    You will not listen to one-way lectures, rather be in a digital classroom with some of the best experts and class fellows. Class size won’t be massive and you’ll have the floor to yourself to ask questions, debate, share your thoughts and contribute to everyone’s mastery.

  • Transparency and accountability

    Coursework like pop quizzes, short assignments, case studies can really help refresh and reinforce concepts. When everyone’s participating and sharing their ideas, you’ll feel challenged to come up with bigger and better ideas, thus having work to show by the end of the cohort.

  • Community and synergy

    Teamwork makes the dream work. Connect with your classmates, a group of like-minded people working towards the same goals and course outcomes as you. Support, challenge yourself and others, and possibly build lifelong relationships.

  • Results and impact

    Live, cohort-based courses are all about the transformation over a short period of time. This is what you and your cohort work together to achieve. You will come out of this course transformed in many, many ways.

Salient Features

This is not an ordinary course but a masterclass specially designed to help you become successful in the market. Some of the perks include:

Live Classes

All the classes will be conducted live giving you the opportunity to engage with the instructor and fellow course takers.

Replay Available

If for some reason, you missed a lecture, videos will be provided for you to stay up to speed with the class.

Guest Lectures

Meet Successful people who started their journey from content creation. Seek inspiration and learn from their experiences.

Practical Exercises

Clearly designed assignments and goals to build your foundations throughout the class

Networking Opportunities

A Dedicated Slack community to connect with your classmates and instructor

Useful Resources

Get inspiration from the work of your fellows. Find your own tribe of supporters!


The class will have batches in Local language.


Certification will be provided to participants.

Fee Structure

Apply now and get free access to the precourse work.

One time fee for the whole master class


The live classes for the courses will be conducted on our platform, Airschool, and zoom. Once you enrol, you will get the joining details. Slack channels will be available for after-class conversations and discussion.

Airschool provides learners with a 7-days money-back guarantee. If you feel that the course doesn’t deliver to its expectations or doesn’t teach what it promised, you can apply for a refund within 7-days of enrolling for the course. Mail us at support@airschool.com explaining the reason behind your decision and you will get your money back in 7 working days.

We love improvement and we love when it’s based on our users’ feedback. We expect you to record your constructive comments in our feedback form and these will be used to improve the course for the next batches.

Yes, certificates will be provided.