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ML Launchpad for Data Science Aspirants

Course Details

Duration

18 hours

Date

Jul 19, 2026

Time

9:00 am

Lectures

0 Learning Mode

Online

Certificate

Included

Total Enrolled

0 Course Overview

ML Launchpad for Data Science Aspirants is a comprehensive, hands-on program designed to take you from zero to job-ready in the field of Data Science and Machine Learning. Covering 30+ sessions across tools, programming, statistics, machine learning, deep learning, NLP, and Generative AI — this course is structured to build both conceptual clarity and real-world skills. You’ll work on end-to-end projects, deploy ML models, and graduate with a portfolio ready for the industry.

Key Takeaways

Build and deploy Machine Learning models using Python, Scikit-learn, and Streamlit
Master data analysis with Excel, SQL, Pandas, NumPy, and Matplotlib/Seaborn
Understand Supervised & Unsupervised ML — Regression, Classification, Clustering, SVM, and more
Dive into Deep Learning with ANNs, CNNs, RNNs, and LSTMs
Explore Natural Language Processing (NLP) and advanced text modeling
Work with Generative AI — fine-tune LLMs, build chatbots, and deploy with Gradio
Create dashboards and visualizations using Power BI and Tableau
Complete a Capstone Project with mentorship and industry guest sessions
Get career-ready with mock interviews, LinkedIn coaching, and soft skills training

Prerequisites

Basic computer literacy and familiarity with spreadsheets
Fundamental Python programming knowledge (loops, functions, data types)
A curious, problem-solving mindset — no prior ML or data science experience required
Tools to install before you begin: Anaconda, Jupyter Notebook, R Studio, Power BI, and MS Excel