• Complimentary Python Programming Bootcamp
• Designed for Working Professionals
• 7+ Case Studies and Projects
• Advanced Certification from IIIT Bangalore
• Personalised Industry Session
• Career mentorship Sessions(1:1)
• High Performance Coaching(1:1)
• Just-in-Time Interviews
• Career Essential Soft Skills Programme
• 300+ Hours of Learning
• Timely Doubt Resolution
• No Cost EMI Option
• Student support is available 7 days a week, 24*7. You can write to us via studentsupport@upgrad.com or for urgent queries use the " Talk to Us" option on the learn platform.
• Exclusive Job opportunities Portal
• AI Powered Profile Builder
• Industry Readiness Assessments

Top Skills You Will Learn

Statistics, Python Programming, Predictive Analytics using Python, Basic & Advanced SQL, Visualization using Python, EDA, Basic & Advanced Machine Learning Algorithms

Target Audience

Engineers (Freshers and with any experience), Software and IT Professionals, Product & E-commerce Folks, BFSI Professionals, Marketing and Sales Professionals, Managers or Executives at Manufacturing, Construction etc.

Minimum Eligibility

Bachelor’s degree with 50% Final Graduation Score, no prior coding experience required

Job Opportunities

Data Scientist, ML Engineer, Data Analyst, Product Analyst, Business Analyst, Chief Architect

Syllabus covered

• Pre-Programme Preparatory Content

1. Data Analysis in Excel
2. Analytics Problem Solving
3. Tools Covered

• Data Toolkit

1. Introduction to Python
2. Programming in Python
3. Python for Data Science
4. Visualisation in Python
5. IMDb Movie Assignment
6. Exploratory Data Analysis
7. Inferential Statistics
8. Hypothesis Testing
9. Data Analysis using SQL
10. Credit EDA Case Study
11. Tools Covered

• Machine Learning

1. Introduction to Machine Learning and Linear Regression
2. Linear Regression Assignment - Bike Sharing Systems
3. Logistic Regression
4. Unsupervised learning: Clustering
5. Business Problem Solving
6. Clustering Assignment
7. Case Study: Lead Scoring
8. Tools Covered

• Course 3 (Option to choose from 6 tracks)

1. Data Generalist
2. Natural Language Processing
3. Deep Learning
4. Business Analytics
5. Data Analytics/Business Intelligence
6. Data Engineering
7. Tools Covered

• 200+ Hours of Learning
• 15+ Case Studies and Assignments
• 15+ Live Q&A Sessions
• Personalised Resume-Building Exercise
• High Performance Coaching(1:1)
• Interview Preparation
• Personalised Industry Session
• Exclusive Job opportunities Portal
• DUKE CE Certifications
• 300+ Recruiting Partners
• Industry Readiness Assessments
• AI Powered Profile Builder
• 3 Years Unlimited Content Access
• Just-in-Time Interviews
• Career mentorship Sessions(1:1)

Top Skills You Will Learn

Market Research, User Design, Analytics, Engagement & Growth, Product Development and Planning

Who Is This Programme for?

Project Managers, Project Leads, Technical Managers, Software Developers, Marketing Professionals, Sales Professionals, UI-UX design, Analysts, Consultants, Entrepreneurs and BD Managers

Minimum Eligibility

The Applicant should have a Graduation Degree.

Job Opportunities

Product Analyst, Associate Product Manager, Product Marketing Manager, Product Designer, Product Owners and Heads

Syllabus covered

• Introduction to Product Management

1. Role of a Product Manager
2. Hard Skills of a Product Manager
3. Soft Skills of a Product Manager
4. Career Path of a Product Manager

• Building Product Vision and Strategy

1. Design Thinking in Product Management
2. Market Research
3. User Research and Product Artefacts
4. Business Model Canvas and Value Proposition Canvas
5. Case Study - I

• Designing and Building a Product

1. Ideation
2. Design and Prototyping
3. Usability Testing
4. Minimum Viable Product

• Planning and Launching a Product

1. Product Development
2. Product Planning
3. Go-To-Market Strategies
4. Tech 101 for PMs

• Measuring Product Success and Growth

1. Product Analytics
2. Product Experimentation
3. Growth Strategies
4. Case Study - II

• Capstone Project

1. Research, Conceptualise and Plan for the Development of a Food Delivery Product

• Cracking PM Interviews

1. Guesstimates
2. Product Management Interview Questions
3. Problem Solving Skills
4. Communication Skills
5. Interview Skills
6. Stakeholder Management

• Assured data-analytics job opportunities
• 200+ hours of learning
• No cost EMI options available
• Fullstack Academy live training
• AI powered profile builder
• Career mentorship sessions (1:1)
• Just-in-time interviews
• Designed for working professionals
• Tableau and AWS Certification preparation included
• Certificate programme from Caltech
• Caltech approved faculty masterclasses
• Student Support available all day for your convenience (24*7)
• Interview preparation
• 5 out of 6 learners get positive career growth

Top Skills You Will Learn

Excel, SQL, Powerpoint, Tableau, AWS, Python, NLP, Artificial Intelligence, Machine Learning

Who Is This Programme For?

Engineers, Marketing & Sales Professionals, Freshers, Domain Experts, Software & IT Professionals

Minimum Eligibility

1. English language skills, computer skills
2. Programming experience not mandatory
3. The program design and curriculum assumes as undergraduate degree has been earned by the learner. However, undergraduates/freshers from STEM discipline can also apply.

Job Opportunities

Data Analyst, Product Analyst, Business Analyst, Marketing Intelligence Analyst, Business Intelligence Analyst

Syllabus covered

Prep Course

• Data Analysis in Excel + Presentation

1. Simple and Advanced Functions in Excel, Pivot Table, Vlookup and PowerPoint Skills

• Business Problem Solving

1. Approaching open-ended real-world problems using data as a lever to draw actionable insights.

Python Bootcamp

1. Welcome Module (to be released on the day of the webinar with a deadline of 1 day)
2. Introduction to Python

Course 1 - Python for Data Science

• Programming in Python + Python Graded Questions

1. Data Structures: Lists, Strings, Dictionaries, and Stacks, Time Complexity, Searching and Sorting, Two Pointers and Recursion

• Python for Data Science

1. Numpy & Pandas: Array, Vectors, Getting & Cleaning Data

• Python for Data Science

1. Numpy & Pandas: Array, Vectors, Getting & Cleaning Data

• Data Visualization in Python

1. Univariate, Bivariate, categorical time series plots using Seaborn and Matplotlib

• EDA

1. Uni & Mutivariate Analysis, Derived Metrics, Skewness, Outliers and Normalization

• Python Assignment

1. Reinforce the concepts learnt in data science through this rigorous assignment involving the past hundred years of movie data.

Course 2 - SQL

• Database Design and Introduction to MySQL

1. Stacks, Queues, Trees, Complexity, OLAP/ OLTP, RDBMS and SQL Querying

• Advanced SQL

1. Stacks, Queues, Trees, Complexity, OLAP/ OLTP, RDBMS and SQL Querying

• Data Modelling

1. DDL, ERD, DML, Database Creation, Querying & Manipulation

• Advanced SQL II

1. Stored Routines, Cursors, Query Optimization and Window Functions

• SQL Assignment

1. Use SQL skills to derive inferences to help a production house with relevant recommendations.

Course 3 - Tableau

• Tableau Certification

1. Data Analysis, Types of Charts and Visualisations on Tableau Interface and Dashboard Making. Get ready to master the fundamentals required for Tableau Certification

• Data Storytelling

1. Components of Data Storytelling, Narrative, 5 Patterns of Insights, Pyramid Principle

• Tableau Assignment

Course 4 - Machine Learning

• Inferential Statistics

1. Discrete & Continuous Distributions and Central Limit Theorem

• Hypothesis Testing

1. Null & Alternate Hypothesis, P - value, Critical Value, A/B Testing

• Linear Regression

1. Best Fit Line, Cost Function, Gradient Descent, Residual Sum of Squares, Residual Analysis and Prediction

• Logistic Regression

1. Binary classification, Sigmoid function, Likelihood function, Odds and Log Odds, Confusion Matrix, Accuracy, Sensitivity, Specivity and ROC Curve

• Unsupervised Learning: Clustering

1. K- Means, Hierchichal clustering, K - Mode and Association Rules

• Decision Trees

1. Homogeneity, Gini Index, Entropy and Information Gain, Tree Truncation and Pruning and Choosing Hyperparameters

• Time Series Forecasting

1. Basic Components of Time Series Forecasting, Simple Average and Naive Forecast Methods and Smoothing Techniques

• Assignment

Course 5 - AWS

• AWS Certification

1. Understand Data Storage solutions, Analysis, modelling and visualization techniques through AWS Glacier, Glue, Athena, Redshift and more to be capable of giving AWS certification examination.

Capstone Project

• Capstone

1. Bring your own capstone project that can give you an understanding of data sourcing, cleaning, analysis and modeling techniques. Work on Storytelling principles of your capstone.

• Optional

1. Random Forest
2. Boosting
3. Advanced Regression
4. Introduction to Deep Learning - Artificial Neural Networks, Backpropagation & TensorFlow
5. Convolutional Neural Networks
6. Deep Learning Assignment
7. Introduction to Natural Language Processing - Lexical Processing
8. Syntactic Processing
9. NLP Assignment
10. Advanced Time Series
11. Domain Specific Modules - BFSI/Healthcare
12. Interview Prep Content

• Learn from the faculty of IIT Madras
• 20+ Case Studies and Projects
• 25+ Industry Mentorship Sessions
• Career Mentorship Sessions (1:1)
• India's most Advanced Cloud Programme
• Globally Accepted Advanced Certification
• High Performance Coaching (1:1)
• Just-in-Time Interviews
• Industry Readiness Assessments
• Designed for Senior Working Professionals
• Practical Hands-on Workshops
• 500+ Hours of Learning
• No Cost EMI Option
• 4 weeks Industry Capstone Project
• India's No.1 Ranked Engineering College
• Exclusive Job Opportunities Portal
• AI Powered Profile Builder
• Personalised Industry Session

Top Skills You Will Learn

Python, BD processing using Spark, Deploy ML Models, Supervised & Unsupervised ML Models, Predictive Analytics & Statistics

Who Is This Programme For?

Engineers, Software and IT Professionals, Data Professionals

Minimum Eligibility

Bachelor’s Degree with 50% or equivalent at graduation. Coding experience required.* (B. Tech or B.E- preferably 60% or higher or first class if you have less than two years of experience) 

Job Opportunities

Big Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer

Syllabus covered

• Prepatory Content

1. Python Programming
2. Python for Data Science
3. Data Visualisation
4. Python Assignment (Optional)

• Introduction to Machine Learning and Cloud

1. Exploratory Data Analysis and Data Visualisation
2. Intro to ML + Understanding the ML pipeline
3. Introduction to Cloud
4. Elastic Provision Services of Cloud and Setting up Cloud
5. Assignment

• Data Warehousing & Data Management

1. Introduction to HDFS
2. Introduction to SQL
3. Hive Querying
4. Case Study
5. Assignment

• Big Data Processing using Spark

1. Introduction to Spark
2. PySpark Programming
3. PySpark implementation on a Dataset: ALS & Spark Streaming
4. Assignment

• Machine Learning - I

1. Inferential Statistics and Hypothesis Testing
2. Linear Regression - I
3. Linear Regression - II
4. Logistic Regression
5. Assignment

• Machine Learning - II

1. Decision Trees
2. Random Forest Trees
3. Assignment
4. Principal Component Analysis + Linear Algebra
5. Clustering

• Deep Learning

1. Introduction to Neural Nets with TensorFlow
2. Convolution Neural Networks
3. Melanoma Detection Assignment
4. Recurrent Neural Networks

• NLP with Deep Learning

1. Natural Language Processing Fundamentals
2. Case Study on applications of Deep Learning in NLP
3. Case Study on Computer Vision
4. NN Assignment: Gesture Recognition

• Deployment

1. Deployment
2. Implementation: Regression + Model Selection on SageMaker

• Capstone

1. Capstone Project

• This program is designed for working professionals looking to gain a structured understanding and applicability of AI concepts taught through case studies designed by leading industry experts. Regardless of your background.
• The program aims to provide a holistic overview for immediate application in projects. This program demands consistent work and time commitment of 5-8 hours over the entire duration of 16 weeks.

Who Is This Programme For?

This program is specifically designed for working professionals to help them gain practical knowledge and accelerate their managerial & leadership skills with Data driven decisions.

Top Skills You Will Learn

This program will allow you to lead teams effectively and learn data-driven decision making for use in your particular industry. Regardless of your industry, the case study driven learning methodology taught by leading industry experts will ensure you're ready to succeed in the AI field.

Minimum Eligibility

The eligibility requirement is to have a graduation degree with minimum 50% or equivalent at graduation

Syllabus covered

1. Pre-launch Preparatory Content
2. Introduction to AI Landscape - I (Recorded)
3. Introduction to AI Landscape -II (Recorded)
4. The Importance of EDA and Storytelling (Recorded)
5. The Regression Paradigm: Scoring things you haven't seen (Live)
6. The Classification Paradigm : Classifying and labelling new objects (Live)
7. The Clustering Paradigm and Market Basket Analysis : Identifying patterns to make groups (Live)
8. The Recommendation Paradigm: Suggesting the next steps and Search paradigm (Live)
9. The Natural Language Processing Paradigm: Understanding language (Live)
10. The Computer Vision Paradigm : Seeing things (Live)
11. Mapping Machine Learning with Data Architecture Strategy
12. AI Strategy (Recorded)
13. Capstone: Develop the AI Strategy for your organisation

• Designed for Working Professionals
• No Cost EMI Options available
• 5+ Industry Projects, Case Studies & Assignments
• Career Mentorship Sessions(1:1)
• High Performance Coaching(1:1)
• Just-in-Time Interviews
• Industry Readiness Assessments
• 250+ Hours of Learning
• Advanced Certificate from IIIT Bangalore
• Student support is available 7 days a week, 24*7. You can write to us via studentsupport@upgrad.com or for urgent queries use the " Talk to Us" option on the learn platform.
• Exclusive Job opportunities Portal
• AI Powered Profile Builder
• Personalised Industry Session
• Career Bootcamp

Top Subjects You Will Learn

Machine Learning, Natural Language Processing, Machine Translation, Git

Who Is This Programme For?

Data Scientist, Statistician/MathematicianData, Engineer/Big Data Engineer, Software Developer

Minimum Eligibility

Bachelor’s degree with 50% or equivalent passing marks.

Syllabus covered

• Pre-Program Preparatory Content

1. Introduction to Python
2. Python for Data Science
3. Data Visualisation in Python
4. Data Analysis Using SQL
5. Advanced SQL & Best Practices
6. Data Analysis in Excel
7. Analytics Problem Solving
8. Math for Machine Learning

• Statistics and EDA

1. Exploratory Data Analysis
2. Cloud Essentials: Intro to Git and Github
3. Inferential Statistics
4. Hypothesis Testing
5. Lending Club Case Study

• Machine Learning I

1. Linear Regression
2. Linear Regression assignment
3. Logistic Regression
4. Naive Bayes
5. Model Selection

• Machine Learning II

1. Advanced Regression
2. Advanced Regression assignment
3. Support Vector Machine (Optional)
4. Tree Models
5. Model Selection - Practical Considerations
6. Boosting
7. Unsupervised learning: Clustering
8. Unsupervised Learning: Principal Component Analysis
9. Telecom Churn Case Study

• Natural Language Processing

1. Lexical Processing
2. Syntactic Processing
3. Syntactic Processing -Assignment
4. Semantic Processing
5. Case Study: Classifying customer complaint tickets

• Learn from the faculty of IIT Madras & LJMU
• 650+ Hours of Learning
• Globally accepted M.Sc. Degree
• Practical Hands-on Workshops
• No Cost EMI Option
• Offline peer-to-peer networking (non-COVID time)
• Personalised Industry Session
• Just-in-Time Interviews
• AI Powered Profile Builder
• Career Bootcamp
• 25+ Case Studies and Assignments
• India's Most Advanced Cloud Program
• Designed for Working Professionals
• India's No.1 Ranked Engineering College
• 4 Weeks Industry Capstone Project
• Career Mentorship Sessions (1:1)
• High Performance Coaching (1:1)
• Industry Readiness Assessments
• Exclusive Job opportunities Portal

Top Skills You Will Learn

Python, BD processing using Spark, Deploy ML Models, Supervised & Unsupervised ML Models, Predictive Analytics & Statistics

Who Is This Programme For?

Engineers, Software and IT Professionals, Data Professionals

Minimum Eligibility

Bachelor’s Degree with 50% or equivalent at graduation. Coding experience required.* (B. Tech or B.E- preferably 60% or higher or first class if you have less than two years of experience)

Job Opportunities

Big Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer

Syllabus covered

Preparatory Content

1. Python Programming
2. Python for Data Science
3. Data Visualisation in Python
4. Python Assignment (Optional)

Introduction to Machine Learning in Cloud

1. Exploratory Data Analysis and Data Visualization
2. Intro to ML + Understanding the ML pipeline
3. Introduction to Cloud
4. Elastic Provisions of cloud and setting up cloud
5. Assignment

Data Warehousing & Data Management

1. Introduction to HDFS
2. Introduction to SQL
3. Hive Querying
4. Case Study
5. Assignment

Big Data Processing using Spark

1. Introduction to Spark
2. PySpark Programming
3. PySpark implementation on a Dataset: ALS & Spark Streaming
4. Assignment

Machine Learning - I

1. Inferential Statistics and Hypothesis Testing
2. Linear Regression - I
3. Linear Regression - II
4. Logistic Regression
5. Assignment

Machine Learning - II

1. Decision Trees
2. Random Forest Trees
3. Assignment
4. Principal Component Analysis + Linear Algebra
5. Clustering

Deep Learning

1. Introduction to Neural Nets with TensorFlow
2. Convolution Neural Networks
3. Melanoma Detection Assignment
4. Recurrent Neural Networks

NLP with Deep Learning

1. Natural Language Processing Fundamentals
2. Case Study on applications of Deep Learning in NLP
3. Case Study on Computer Vision
4. NN Assignment: Gesture Recognition

Deployment

1. Deployment
2. Implementation: Regression + Model Selection on SageMaker

Capstone

1. Capstone Project

Research Methodology

1. Introduction to Research and Research Process
2. Research Design
3. Literature Reviewing
4. Research Project Management
5. Report Writing and Presentation Skills
6. Scientific Ethics

Master's Dissertation

1. Master's Thesis

• 8 week courses, 6-month program, 100% online
• Covers the deep, functional end-to-end supply chain view and how to bring these functional topics together
• Live Sessions (Weekdays)
• Covers the end-to-end supply chain foundation and gives option to choose between two electives in logistics or sourcing
• Interactive discussion boards, quizzes and case studies
• Resume building and career mentorship calls

Minimum Eligibility

No entry barriers

Top Skills You Will Learn

This professional development series gives you the skills and knowledge to:

1. Successfully integrate procurement, operations and logistics management  
2. Implement the best supply chain design for your organization  
3. Achieve significant and effective logistical operations through your market distribution strategy development, implementation and management  
4. Drive your competitive advantage with a strategic approach to integrated logistics

Who Is This Programme for?

Foundationalists, Purchasing/Sourcing Professionals, Logistics Professionals

Syllabus covered

1. Supply Chain Management I - 8 weeks

a) Introduction to Supply Chain Management
b) Supply Chain Value and Processes
c) Customer Service Overview
d) Business Models and Sourcing Overview
e) Manufacturing and Integrated Planning
f) Forecasting and Woodmere Case
g) Advanced Planning and Scheduling (APS) Overview
h) Supply Chain Globalisation

2. Supply Chain Management II - 8 weeks

a) Inventory, Transportation, and Warehousing
b) Supply Chain Design
c) Operational, Financial, and Performance Measurement
d) Case Study – Cooper Processing Company
e) Case Study – Marks & Spencer
f) Supply Chain Risk Management
g) Supply Chain Outsourcing and Spares
h) Supply Chain Organisation and Trends.

3. Integrated Logistics Strategy (Optional Elective) - 8 weeks

a) Logistics’ Role in 21st Century Supply Chains
b) Customer Relationship Management and Logistics Outsourcing
c) Order Management and RFID Applications in Supply Chain
d) Inventory Management and the Financial Implications of Inventory
e) Warehouse Management I
f) Warehouse Management II
g) Transportation
h) Network Design – System Integration.

4. Strategic Sourcing (Optional Elective) - 8 weeks

a) Setting the stage
b) Organisational Structure and the Purchasing Process
c) Category Management
d) Supplier Evaluation and Selection
e) Negotiations, Legal Issues and Ethics
f) Supplier Performance Management and Cost Management
g) Risk Management and Global Sourcing
h) Electronic Sourcing

• Learn neo-subjects – STEM, LogiMath, Leadership Communication, AppliedMath.
• Build Neo-skills of creative thinking, critical thinking, logical reasoning, communication and confidence.
• Higher order thinking for exceptional performance
• Peer-to-peer learning with small batch size of 4-6 students.
• Monthly progress report and regular parent-teacher-meetings.
• Expert educators selected through a rigorous 5-step process.
• 192 Classes
• 4 classes/week
• Subject-wise educators
• Home projects post each class
• Class summary and supplemental reading post each class
• Que3ST IQ+CQ+EQ assessment
• WeCreate Showcase
• Classroom Advantage: a) 16 Capstone Projects b) 8 Parent Teacher Meetings c) 3 Quest Assessment d) 16 Make-up Classes e) Masterclasses for parents and kids f) 3 Term Break
• Higher Achievements: a) 16 Student Showcase WeCreate b) Mastery Certifications c) Opportunity to publish book on Amazon Kindle d) Opportunity to publish apps on Play store e) Be part of The Achievers Bulletin
• Exclusive Opportunities: a) Member of high IQ+CQ+EQ Society b) Early Scholarship for next years course c) Summer Program at an International University
• World’s 1st Live Online International Exchange Programme for Kids a) Be a part of BeyondSkool 15 under 15 list

Top skill you will learn

Problem Solving, Analytical Thinking, Logical Reasoning, Financial decision making, Comprehension, Critical thinking, Collaboration, Decision making, Problem Solving

Exams & Certifications

Earn a Certification on successful completion of the programme

Eligibility criteria for this course

Kids between the age group of 9-11 years

Syllabus covered title

1. Term 1 (1st - 3rd month)

A. Stream 1 - STEM Innovation

Arduino Programming

Your child will learn
a) Fundamentals of electronics
b) Application of sensors & motors
c) LEDs & LDRs
d) Application of ultrasonic sensors
Skills developed
a) Critical thinking
b) Analytical thinking
c) Logical reasoning
Your child will create "Blind-Walking Stick"

B. Stream 2 - Applied Math

Math Around Us

Your child will learn
a) Arithmetic Operations
b) HCF & LCM
c) Rule detection
d) Operations on Integers
Skills developed
a) Numerical Ability
b) Critical Thinking
c) Evaluation
Your child will create "Personal budget"

Budget Math

Your child will learn
a) Mental Math calculations
b) Profit, loss & discount
c) Needs, wants and expenses
d) Sources of Income
Skills developed
a) Numerical Ability
b) Critical Thinking
c) Evaluation
Your child will create "Personal budget"

C. Stream 3 - Leadership Communication

Mass Communication: Advertising

Your child will learn
a) Campaign strategy, persuasive material & basic consumer psychology
b) Production: media platforms & optimal utilisation
c) Video, audio elements & client presentation
d) Grammar & vocabulary
Skills developed
a) Strategizing
b) Confidence
c) Critical thinking
Your child will create "Ad Campaign Presentation"

Your child will receive Foundation certificate

2. Term 2 (4th - 6th month)

A. Stream 1 - STEM Innovation

Structural Technology

Your child will learn
a) Design thinking cycles
b) Types of material & its usage
c) 3D shapes & cartesian design
d) Structual design
Skills developed
a) Problem solving
b) Analytical thinking
c) Logical reasoning
Your child will create "Smart Micro-Apartment"

B. Stream 2 - Applied Math

Advanced Arithmetics

Your child will learn
a) Operations on fractions
b) Operations on decimals
c) Ratio & proportions
d) Percentage
Skills developed
a) Critical Thinking
b) Analysis
c) Reasoning
Your child will create "EMI Calculator"

Banking Math

Your child will learn
a) Functions of a bank
b) Profit & Loss
c) Loans, credit and debit
d) UPI and EMIs
Skills developed
a) Critical Thinking
b) Analysis
c) Reasoning
Your child will create "EMI Calculator"

C. Stream 3 - Leadership Communication

Public Speaking: Model United Nations

Your child will learn
a) Methods of argument
b) Research methodology & using empathy to structure thought
c) Negotiation methods, tactics & delivery of rebuttals
d) Grammar & vocabulary
Skills developed
a) Critical thinking
b) Collaboration
c) Decision making
Your child will create "MUNs"

Your child will receive Specialist certificate

3. Term 3 (7th - 9th month)

A. Stream 1 - STEM Innovation

Advanced Game Development

Your child will learn
a) Elements of UI & UX
b) Game theory
c) Elements of the game: score, life, levels & activities
d) Elements of the game: timer & advantages
Skills developed
a) Creative thinking
b) Analytical thinking
c) Logical reasoning
Your child will create "Racing Game"

B. Stream 2 - Applied Math

Mensuration Statistics

Your child will learn
a) Exponents, Square & cube roots
b) Perimeter, Area & Volume
c) Speed, Distance & Time
d) Sets and operations
Skills developed
a) Analysis
b) Critical Thinking
c) Logical Reasoning
Your child will create "A Business Plan"

Investment Math

Your child will learn
a) Stocks and its types
b) Mutual Funds
c) Risks & Rewards
d) Financial Frauds
Skills developed
a) Analysis
b) Critical Thinking
c) Logical Reasoning
Your child will create "A Business Plan"

C. Stream 3 - Leadership Communication

Script Writing: Extended Narratives

Your child will learn
a) Structure of a novel
b) Ideation planner & memory recall
c) Story arc, characters & settings
d) Grammar & vocabulary
Skills developed
a) Critical thinking
b) Creative thinking
c) Design thinking
Your child will create "Novel"

Your child will receive Expert certificate

4. Term 4 (10th - 12th month)

A. Stream 1 - STEM Innovation

Advanced App Development

Your child will learn
a) Fundamentals of coding
b) Patterns & functions
c) Conditional statements & complex logic
d) Local storage & real time database
Skills developed
a)  Critical thinking
b) Problem solving
c) Logical reasoning
Your child will create "Pet Adoption Notice App"

B. Stream 2 - Applied Math

Geometry & Data Analysis

Your child will learn
a) Complex operations on equations
b) Linear equations
c) Properties of lines and angles
d) Quadrilaterals & triangles
Skills developed
a) Logical Reasoning
b) Analysis
c) Critical Thinking
Your child will create "A Progress Report"

Math in Other Contexts

Your child will learn
a) 3D shapes & symmetry
b) Bar graphs & Pie charts
c) Profit & Loss
d) Data Interpretation
Skills developed
a) Logical Reasoning
b) Analysis
c) Critical Thinking
Your child will create "A Progress Report"

C. Stream 3 - Leadership Communication

Podcasts: Non-Fiction

Your child will learn
a) Ideation strategies & research methodologies
b) Structure of script writing
c) Voice articulation & modulation
d) Grammar & vocabulary
Skills developed
a) Confidence
b) Influencing
c) Creative thinking
Your child will create "Podcast"

Your child will receive Master certificate

• Learn neo-subjects – STEM, LogiMath, Leadership Communication, AppliedMath.
• Build Neo-skills of creative thinking, critical thinking, logical reasoning, communication and confidence.
• Higher order thinking for exceptional performance
• Peer-to-peer learning with small batch size of 4-6 students.
• Monthly progress report and regular parent-teacher-meetings.
• Expert educators selected through a rigorous 5-step process.
• 96 Classes
• 4 classes/week
• Subject-wise educators
• Home projects post each class
• Class summary and supplemental reading post each class
• Que3ST IQ+CQ+EQ assessment
• WeCreate Showcase
• Classroom Advantage: a) 8 Capstone Projects b) 4 Parent Teacher Meetings c) 2 Quest Assessment d) 8 Make-up Classes e) Masterclasses for parents and kids f) 1 Term Break
• Higher Achievements: a) 8 Student Showcase WeCreate b) Foundation & Specialist Certifications c) Opportunity to publish book on Amazon Kindle d) Opportunity to publish apps on Play store e) Be part of The Achievers Bulletin
• Exclusive Opportunities: a) Member of high IQ+CQ+EQ Society b) Early Scholarship for next term course c) Summer Program at an International University
• World’s 1st Live Online International Exchange Programme for Kids e) Be a part of BeyondSkool 15 under 15 list

Top skill you will learn

Problem Solving, Analytical Thinking, Logical Reasoning, Financial decision making, Comprehension, Critical thinking, Collaboration, Decision making, Problem Solving

Exams & Certifications

Earn a Certification on successful completion of the programme

Eligibility criteria for this course

Kids between the age group of 9-11 years

Syllabus covered title

1. Term 1 (1st - 3rd month)

A. Stream 1 - STEM Innovation

Arduino Programming

Your child will learn
a) Fundamentals of electronics
b) Application of sensors & motors
c) LEDs & LDRs
d) Application of ultrasonic sensors
Skills developed
a) Critical thinking
b) Analytical thinking
c) Logical reasoning
Your child will create "Blind-Walking Stick"

B. Stream 2 - Applied Math

Math Around Us

Your child will learn
a) Arithmetic Operations
b) HCF & LCM
c) Rule detection
d) Operations on Integers
Skills developed
a) Numerical Ability
b) Critical Thinking
c) Evaluation
Your child will create "Personal budget"

Budget Math

Your child will learn
a) Mental Math calculations
b) Profit, loss & discount
c) Needs, wants and expenses
d) Sources of Income
Skills developed
a) Numerical Ability
b) Critical Thinking
c) Evaluation
Your child will create "Personal budget"

C. Stream 3 - Leadership Communication

Mass Communication: Advertising

Your child will learn
a) Campaign strategy, persuasive material & basic consumer psychology
b) Production: media platforms & optimal utilisation
c) Video, audio elements & client presentation
d) Grammar & vocabulary
Skills developed
a) Strategizing
b) Confidence
c) Critical thinking
Your child will create "Ad Campaign Presentation"

Your child will receive Foundation certificate

2. Term 2 (4th - 6th month)

A. Stream 1 - STEM Innovation

Structural Technology

Your child will learn
a) Design thinking cycles
b) Types of material & its usage
c) 3D shapes & cartesian design
d) Structual design
Skills developed
a) Problem solving
b) Analytical thinking
c) Logical reasoning
Your child will create "Smart Micro-Apartment"

B. Stream 2 - Applied Math

Advanced Arithmetics

Your child will learn
a) Operations on fractions
b) Operations on decimals
c) Ratio & proportions
d) Percentage
Skills developed
a) Critical Thinking
b) Analysis
c) Reasoning
Your child will create "EMI Calculator"

Banking Math

Your child will learn
a) Functions of a bank
b) Profit & Loss
c) Loans, credit and debit
d) UPI and EMIs
Skills developed
a) Critical Thinking
b) Analysis
c) Reasoning
Your child will create "EMI Calculator"

C. Stream 3 - Leadership Communication

Public Speaking: Model United Nations

Your child will learn
a) Methods of argument
b) Research methodology & using empathy to structure thought
c) Negotiation methods, tactics & delivery of rebuttals
d) Grammar & vocabulary
Skills developed
a) Critical thinking
b) Collaboration
c) Decision making
Your child will create "MUNs"

Your child will receive Specialist certificate