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Data Science

Java Courses - Enhanced Hero Section

Data Science Training & Placement Program

Master Data Science from fundamentals to advanced Machine Learning and become job-ready with real-world projects and mentorship.

Beginner to Advanced Learning
4.9★ Learner Rating
6,800+ Students Trained

Data Science blends statistics, programming, business understanding, and machine learning to uncover insights and build predictive systems. This course trains you in Python, SQL, Statistics, Exploratory Data Analysis, Machine Learning, Data Visualization, and Real-Time Project Deployment. By the end of the program, you will be capable of solving real-world business problems and presenting insights confidently in interviews.

No prior coding experience required.
Includes interview preparation + portfolio project guidance
Enroll Now
100%
Practical Case Studies & Hands-On Coding
3 Live
End-to-End Data Science Portfolio Projects
80+ Hrs
Data Cleaning & Model Training Exercises
24/7
Lifetime Access to Course Materials + Recordings
Data Science Program - What You Will Learn

What You Will Learn in the Data Science Program

A complete journey from raw data exploration to building machine learning models.

Python for Data Science (Foundation)

1.5–2 Weeks
Python Syntax, Loops & Functions
Working with Data (Pandas, NumPy)
Data Import / Export (CSV, Excel, SQL, APIs)

Statistics & Probability for Data Science (Decision Science)

1.5 Weeks
Descriptive Statistics
Distributions & Sampling
Hypothesis Testing
Correlation & Variance

Exploratory Data Analysis (EDA)

1.5 Weeks
Outlier Detection
Missing Value Handling
Feature Relationships
Trend, Pattern & Insight Extraction

Machine Learning (Supervised & Unsupervised)

2.5–3 Weeks
Linear & Logistic Regression
Decision Trees & Random Forest
KNN / SVM
Clustering (K-Means)
Model Evaluation & Tuning

Data Visualization & Storytelling

1–1.5 Weeks
Power BI / Tableau
Matplotlib / Seaborn
Dashboard Design & Business Narrative

Capstone Project & Interview Preparation

1–2 Weeks
End-to-end Data Science Project
GitHub Portfolio + Resume Case Study
Mock Interviews & Interview Scenarios
Programs with Mentor Section

TRAINER PROFILE

Senior Data Scientist & Analytics Mentor

10+ Years in Machine Learning, Predictive Modeling, and AI-driven analytics.

Experience across Banking, E-Commerce, Healthcare & SaaS product companies.

Trained 6,800+ learners transitioning into data-driven roles.

Focus: Real-world business problem solving + model explainability + interview success.

Speak with Mentor @ +91 9344259572
Mentor video thumbnail

CURRICULUM BREAKDOWN

Data Foundations

  • Python
  • SQL
  • Statistics

Core Data Science

  • Exploratory Data Analysis (EDA)
  • Machine Learning
  • Model Deployment Basics
  • Dashboard Reporting
  • Insight Storytelling

MODES OF TRAINING

Flexible learning formats to suit your schedule & goals

Online Live Training

Full interactive coding-based sessions.

Classroom Training

System lab with instructor guidance.

One-to-One Mentoring

Personalized model building & case study review.

Corporate Upskilling

Applied Data Science for business teams.

CAREER PATHS

This course opens multiple high-demand roles in data and analytics.

Data Scientist

Build predictive & statistical models.

Machine Learning Engineer

Deploy ML pipelines in production.

Data Analyst (with Power BI skills)

Analyze data & present insights.

Business Analyst (Data Focused)

Use data to support business decisions.

RELEVANT TOOLS & TECHNOLOGIES

Python (Pandas, NumPy, Scikit-Learn) SQL (MySQL / PostgreSQL) Power BI / Tableau Regression Jupyter Notebook Matplotlib Seaborn GitHub Portfolio Classification Clustering Model Tuning

PROGRAM FEATURES

Comprehensive learning journey designed for career transformation in Machine Learning

Industry-Aligned Machine Learning Training

Build predictive models step-by-step with expert-led practical sessions and case-based learning.

#ML #AI #PredictiveAnalytics

Real-World Case Studies & Dashboards

Work with live datasets to interpret KPIs, generate insights, and design impactful business dashboards.

#BusinessInsights #DataStorytelling

Portfolio + Resume + Interview Prep

Develop industry-ready projects, build your portfolio, and receive end-to-end placement support.

#PortfolioReady #PlacementSupport

Beginner to Job-Ready Path

Perfectly structured for freshers, non-IT, and career switchers to become job-ready ML professionals.

#ZeroToHero #CareerTransition

ACCORDION DETAILS

Top Skills

Top Skills You Will Learn

Python programming, statistical modeling, ML algorithms, feature engineering, dashboard storytelling & business insights.

High demand in IT, finance, consulting, SaaS, healthcare, retail analytics & product companies.

Freshers, analysts, developers, engineers, commerce/science graduates, and non-IT aspirants.

No prior coding or statistics knowledge required — everything taught from basics.

PROJECTS YOU WILL WORK ON

Retail Sales Prediction Model

Build a forecast model to predict sales volume.

Customer Churn Prediction

Analyze patterns to predict customer retention.

End-to-End Capstone ML Project

ML Project Complete dataset → EDA → Model → Dashboard → Presentation Documentation.