DATA SCIENCE FOUNDATION

What is Data Science?

Business Analytics vs Big Data vs Data Science

Components of Data science: Venn diagram

Understanding Data Science Pipeline

Roles and Jobs in Data Science in the Market

Data Science Team Structure

Data Science: Areas of Study

Business / Domain Knowledge

Hacking / Programming Skills

Statistics

Machine Learning

Data Sources and importing Techniques

Reading from existing data from flat files and database

APIs

Web Scraping

Other data gathering methods

Hands on importing data

Data Exploratory Analysis

Basic statistics

Exploratory graphs

Exploratory statistics

Data Science Programming

Programming basics

Python overview

R overview

SQL

Introduction to Applied Statistics

Hypothesis Testing

Confidence

Validating

Introduction to Machine Learning

Decision trees

Ensembles

k-nearest neighbors (kNN)

Naive Bayes classifiers

Artificial neural networks

Visual Analytics with Tableau

Introduction to Visual Analytics

Interpretability

Actionable insights

Various Graphical Representations

Data Science Career and Conclusion.

Data Science Learning sources

Data Science relevance in your career

How should a data scientist’s resume look like

Tips on job application