Data Science – From Analysis to AI Mastery

Master Data. Build Models. Solve Real Business Problems.

A complete offline, mentor-led program designed to take learners from the foundations of analytics to applied machine learning and end-to-end real-world data science projects.

  • Duration: 6 Months
  • Total Hours: 240+
  • Mode: Offline (Classroom + Lab)
  • Format: 20 Days/Month · 2 Hours/Day
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Data Science – From Analysis to AI Mastery

Program Highlights

  • 6-month structured learning journey
  • 240+ hours of training, labs & project work
  • Real-time problem-solving on structured & unstructured data
  • Multiple mini-projects + final capstone
  • Certification from IKIGAI School of AI – Kaizen Center

Modules

Module 1: Foundations of Data & Python Programming

  • Python basics for analysis
  • Data types, loops, functions, modules
  • File handling & working with datasets
  • Python libraries: NumPy & Pandas

 

Module 2: Exploratory Data Analysis & Statistics

  • Data cleaning & preprocessing
  • Handling missing values & outliers
  • Descriptive statistics
  • Visual exploration (Matplotlib & Seaborn)
  • Correlation, distributions, probability basics

 

Module 3: Analytics & Business Problem-Solving

  • Formulating business hypotheses
  • KPI frameworks
  • SQL essentials for data retrieval
  • Real industry case studies

 

Module 4: Machine Learning Foundations

  • Linear & logistic regression
  • Decision trees & random forests
  • KNN, Naive Bayes
  • Overfitting, bias-variance, cross-validation
  • Feature engineering fundamentals

 

Module 5: Advanced ML & Model Deployment Concepts

  • Clustering algorithms
  • Time-series forecasting basics
  • Model evaluation metrics
  • Intro to pipelines & model lifecycle
  • Fundamentals of model deployment (high-level concepts)

 

Module 6: Capstone Project

  • Choose a real-world dataset
  • End-to-end analysis → ML model → insights
  • Report + presentation + viva

Tools & Technologies

  • Python (Jupyter Notebook)
  • NumPy, Pandas
  • Matplotlib, Seaborn
  • Scikit-learn
  • SQL (MySQL/PostgreSQL)
  • Excel for business analytics logic
  • Git & GitHub for project management

Assessment & Certification

  • Weekly lab assignments
  • Topic-wise evaluations
  • Monthly mini-projects
  • Capstone presentation
  • Certificate from IKIGAI School of AI – Kaizen Center

Career Outcomes

  • Data Analyst (Entry Level)
  • Business Analyst
  • Machine Learning Associate
  • Data Science Intern
  • Insights Analyst

Request An Appointment

    Who Should Enroll?

    After Class 12 students
    with background in Maths, Science, or Commerce and interest in data.
    Undergraduate students (B.Tech, BCA, B.Sc, B.Com)
    looking to build skills in data analysis, machine learning, and AI
    Early-career professionals in analytics
    aiming to transition into data science and AI-driven careers
    Certificate in Data Science – From Analysis to AI Mastery
    Upon successful completion, participants will be awarded a Professional Certificate from IKIGAI School of AI, along with a Value-Added Modular Training Program Certification from E&ICT Academy, IIT Kanpur.
    Ikigai Learner Support
    Talk to our experts. We are available 7 days a week, 9 AM to 12 AM (midnight)
    Contact Us +91 6307940619

    FAQs - Frequently Asked Questions

    Yes, no prior coding or analytics background is required.

    Yes—supervised, unsupervised, and evaluation frameworks are included.

    Recommended, but lab systems are available.

    Yes. Every module has applied case studies.