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Data Science Intermediate Live Classes

Certification in Data Science

Intensive 6-month certification that builds job-ready data science skills across Python, machine learning and analytics with a capstone and career support.

4.8 640 enrolled 6 months · 260+ live learning hours Certificate
Overview
Curriculum
Instructor
FAQ

Program Overview

A focused 6-month certification for professionals who want to become job-ready data scientists without the full postgraduate commitment. Across 260+ live hours and 10 modules you master Python, statistics, machine learning and applied analytics, culminating in a portfolio capstone. Includes mentorship, certification and career support, with a strong complimentary software stack.

What you'll learn

  • Analyze data with Python, Pandas and SQL
  • Apply statistics and hypothesis testing
  • Build and evaluate machine learning models
  • Deploy a model and communicate results
  • Deliver a portfolio-grade data science capstone

Tools you'll use

PythonPandasscikit-learnSQLPower BIDockerJupyter

Hands-on Projects

  • Predictive modeling capstone
  • Customer analytics dashboard

Career Outcomes

Data ScientistData AnalystMachine Learning Engineer (entry)

Complimentary software included

Enroll in this course and get these professional tools free — licenses and access are provided as part of the program, at no extra cost.

Anaconda Python Data Platform

Python and data science distribution.

AWS Free Tier Cloud

Deploy your capstone model.

Power BI Desktop BI Tool

Build analytics dashboards.

MLflow MLOps

Track experiments and models.

JupyterLab Notebook

Interactive analysis notebooks.

Curriculum

Python & Data Foundations
  • Python
  • Pandas
  • NumPy
Statistics & Probability
  • Distributions
  • Inference
  • Hypothesis testing
SQL & Data Wrangling
  • SQL
  • Cleaning
  • Feature prep
Exploratory Data Analysis & Visualization
  • EDA
  • Visualization
  • Storytelling
Supervised Machine Learning
  • Regression
  • Classification
  • Evaluation
Unsupervised Learning
  • Clustering
  • Dimensionality reduction
Intro to Deep Learning & NLP
  • Neural nets
  • Text and embeddings
Model Deployment Basics
  • APIs
  • Docker
  • Serving
Business Analytics & Storytelling
  • Metrics
  • Dashboards
  • Communication
Capstone & Career Readiness
  • Capstone
  • Portfolio
  • Interview prep

Dr. Priya Nair

Lead Data Scientist

10+ years building ML systems at scale.

Certificate

Verified Certification in Data Science with capstone review.

No FAQs yet. Submit an inquiry for any questions.

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