Go From Zero To Code Hero! Upskill in Data Analytics with GenAI, real-world data and industry mentors. Learn live from experts with personalised learnings and guaranteed job assistance. This immersive, career-focused program blends hands-on Data Analytics with the power of Generative AI. You'll build strong problem-solving skills, work on real business datasets, and master tools like Python, SQL, and Power BI to crack high-growth analytics roles with confidence.
Harshit gupta
Advance
Data Analytics Mastery
SQL & Databases
Business Intelligence Tools
AI-Augmented Analytics
Statistics & Business Insights
Python for Analytics
Applied Machine Learning
Real-World Case Studies
Business Intelligence & Analytics
Product Companies & Startups
Data Infrastructure & Cloud Analytics
AI Ethics & Governance
Enterprise Data & Consulting
Finance & E-commerce
AI & Smart Analytics
Freelancing & Remote Work
Advance Data Analytics Powered by GenAI is your pathway to becoming a modern data driven problem solver capable of extracting insights, building predictive models, and operationalizing AI infused analytics for real business impact. This intensive 41 week live program blends core analytics foundations with Generative AI, taking you from Python basics and Git to advanced ML pipelines, NLP, AutoML, and industry simulations using tools like Pandas, SQL, Power BI, scikit learn, H2O, and MLflow.
You start with programming fundamentals, data wrangling via APIs and document intelligence, SQL databases, exploratory data analysis, and visualization to uncover patterns and build story driven dashboards. Progress to statistics, regression, core machine learning including classification, clustering, tuning, and feature engineering, then tackle capstones with end to end workflows connecting EDA, modeling, and business ready reports. Advanced topics cover ensembles, sentiment analysis, synthetic data generation via GPT, and GenAI assisted EDA, all applied through hands on projects like real estate price prediction, loan default risk, churn analysis, and predictive maintenance on real world datasets from finance, telecom, media, and manufacturing.
Through mentor led sessions, personalized learning, and job oriented curriculum with GitHub portfolio building, mock interviews, and demo days, you gain technical depth and interview ready confidence for roles like Data Analyst, ML Engineer, Data Scientist, BI Specialist, or Analytics Consultant in sectors including e commerce, healthcare, SaaS, and enterprise tech. The program equips you to lead data AI initiatives, influence stakeholders with compelling narratives, and thrive in high growth analytics careers.
Explore our Data Analytics Case Study Projects, where we dive into real-world scenarios to showcase how data-driven insights can transform businesses. Each project highlights innovative solutions and analytical techniques that lead to impactful decision-making. Join us in uncovering the power of data!
Build a CLI app to record and visualize student scores using Pandas, with proper GitHub version control.
Fetch real-time weather from OpenWeather API, store in CSV, and plot trends using Matplotlib/Seaborn.
Load raw CSV data into SQL DB, generate three key reports, and export results to Excel/PDF.
Clean, visualize, and extract insights from C-level data on Kaggle or public datasets.
Use demographics and study hours to predict exam scores with regression techniques.
Classify emails as spam/ham using text preprocessing and basic NLP.
Discover all the essential information about our courses in our detailed brochure. Get insights on curriculum, schedules, and enrollment options to help you make the best choice for your education.
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Flexible monthly EMI plans available for up to 24 months.
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