What is this course about ?

Data science is an interdisciplinary field that focuses on computational statistics on data of various kinds that include either structured or unstructured,similar to data mining. Data science uses advanced methods to extract insights from data using various driving technologies like Python and R programming language.

Division
Program Syllabus
data-sciences Git Course Modules
MODULE - 1

Introduction to data science

Introduction

data-sciences Git Course Modules
Module 2

Python/R/Spark

Arrays, Lists, Data Frames, Matrices, Vector and Reading and writing for different files
CSV
EXCEL
Json

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MODULE - 3

Reading and writing for different data stores

SQL databases
NOSQL databases

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MODULE - 4

Data preparation

Introduction to statistics
Measures of central tendency
Measures of variability
Hypothesis testing
Inferential test metrics
Analysis of variance
Similarity metrics
Feature engineering

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MODULE - 5

Machine Learning Python/R/Spark

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MODULE - 6

Supervised learning algorithms

Linear regression
Logistics regression
K- Nearest Neighbors
Naive Bayes
Support vector machines
Neural networks
Ensembles

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MODULE - 7

Unsupervised learning algorithms

Clustering K-means
Hierarchical Clustering
Dimensionality reduction (Factor analysis, PCA).
Anomaly detection (K-NN, Local outlier factor)

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MODULE - 8

Python/Spark

Text Mining
NLTK Library
Stanford ML Library, br Stop words
Sentiment analysis
Parts of speech recognizer.
Named entity recognizer

data-sciences Git Course Modules
MODULE - 9

Charts & Graphs

Visualization
Matplotlib visualization library (Python)
Ggplot

data-sciences Git Course Modules
MODULE - 10

Dictionaries

Introduction, Accessing Dictionaries, Operations, Working with Dictionaries, Pre Defined methods

data-sciences Git Course Modules
MODULE - 11

Functions

Defining a function, Calling a function, Types of functions, Function Arguments, Anonymous functions, Global and local variables

data-sciences Git Course Modules
MODULE - 12

Modules

Importing module Math module, Random module, Packages, Composition

data-sciences Git Course Modules
MODULE - 13

Input-Output

Printing on screen, Reading data from keyboard

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MODULE - 14

Files

Opening and closing file, Reading and writing files, Functions in files

data-sciences Git Course Modules
Module14

Local and Remote Notifications Local Notifications and Push Notifications

data-sciences Git Course Modules
MODULE - 15

Exception Handling

Exceptions and Errors, Exception Handling, Except clause, Try & finally clause, User Defined Exceptions

data-sciences Git Course Modules
MODULE - 16

OOPs Python

Class and object, Attributes, Inheritance, Overloading, Overriding, Data hiding

data-sciences Git Course Modules
MODULE - 17

Regular expressions

Match function, Search function, Matching VS Searching,Modifiers and Patterns

data-sciences Git Course Modules
MODULE - 18

Database

Introduction Connections, Executing queries, Transactions Handling error

data-sciences Git Course Modules
MODULE - 19

Multithreading

Thread Starting a thread, Threading module, Synchronising threads, Multithreaded Priority Queue

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