Data Science Course Curriculum

Demo Class 2
INTRO DO DATA SCIENCE OVERVIEW AND THE FRAMEWORK 2
AUDIENCE: DATA ANALYSTS OR BUSINESS INTELLIGENCE ANALYSTS 3
Class timings 3
UNITS 4
Week 0: PRE-WORK TOPICS 4
Introduction to Python 4
Week 1: Tools required for Data Science 5
RESEARCH DESIGN AND EXPLORATORY DATA ANALYSIS 5
RESEARCH DESIGN AND PYTHON PANDAS / DATA WRANGLING TERMS AND CONCEPTS 5
Week 2 STATISTICAL FUNDAMENTALS 5
Week 3 REGRESSION AND AND EXPLORATORY USING PANDAS 6
FOUNDATION OF DATA MODELING 6
EVALUATING MODEL FIT 6
Week 4 Classification and Logistic Regression 7
INTRODUCTION TO CLASSIFICATION 7
LOGISTIC REGRESSION I 7
COMMUNICATING LOGISTIC REGRESSION RESULTS 7
Week 5 Decision Trees,Random Forests and Natural Language Processing 7
Week 6 Dimensionality Reduction And Time Series Data 8
DIMENSIONALITY REDUCTION 8
CREATE MODELS WITH TIME SERIES DATA 8
Week 7 Data Engineering 8
Database Technologies 8
Big Data Technologies 8
Week 8 Final Project Presentations 9

Proposed- Working template

Python Classes for Begineers

Python 101 Class NYC

Python 101: 3 hours
Group size: 3-4

Python 101 Course Outline

Sunday: Python Part 1 & Part 2

9 am to 4 pm

Mon: Data Science 101

9 am - 8 pm

Tues: Machine Learning 101

1:30 - 3:30 pm

Wed: Advanced Pandas Data Science

9 am - 5 pm

Thu: Machine Learning Part 2

2 pm - 8 pm

Fri: Machine Learning Project

9 am - 4 pm

Sat: Fine Tuning, PPT and Github

9 am - 6 pm