Data Science Specialization

Make your move in technology of future and be a data scientist. This course will start from basics of programming using Python followed by working on its libraries like Matplotlib, Scikit Learn, Pandas or NumPy, after working on it concepts related to data science or machine learning will be explained with an end of course with data visualization using Tableau.

Course Instructor: Robokwik Training

₹2499.00

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Course Overview

Make your move in technology of future and be a data scientist. This course will start from basics of programming using Python followed by working on its libraries like Matplotlib, Scikit Learn, Pandas or NumPy, after working on it concepts related to data science or machine learning will be explained with an end of course with data visualization using Tableau.

Salient Features

Learn online

Learn at your own pace

Mobile friendly

Placement assistance to build your career

Certificate of Training

Assignments & 2 Project

Learn in English or Hindi

Robokwik Lab access

Doubt Clearing

No prior knowledge required.

2 years access to videos & study material

What will you learn?

This course has been broadly divided into three modules and these are Python Programming, Data Science with Machine Learning, Data Visualization using Tableau.

Python Programming

Introduction to Python

Introduction

Why do we need Python?

How to Install Python?

Execution steps

Interactive Shell

User Interface or IDE

Creating Your First Python Program

Memory Management & Datatypes
Memory Management and Garbage Collection

Object Creation and Deletion

Object Properties

Data Types and Operations

Numbers

String Operations

Datatypes

List Tuple

Dictionary

Other Core Types

Statement, Assignment & Loops

Statements and Syntax

Assignments, Expressions and prints

If tests and Syntax Rules

While and For Loops

File Operations

Opening a file

Using Files

Other File tools

Python Check If File or Directory Exists

Python COPY and PASTE File using shutil.copy()

Python Rename File and Directory using os.rename()

Python ZIP file with Example

Functions

Function Definition and Call

Function Scope

Function Arguments

Modules and Packages

Module Creations and Usage

Types of package in Python

Package creation

Importing packages

Classes

Classes and Instances

Classes method calls

Class methods

Instance methods

Static methods

OOPs concept

Abstraction

Encapsulation

Polymorphism

Types of Polymorphism

Inheritance

Types of inheritance

Exception Handling

Default Exception Handler

Except Exceptions

Raise an exception

User defined exception

Activities & Project Discussion

Activities

Installing different libraries of Python

Project Discussion

Random Password Generator

QR Code Generator

Alphabetical Letter Pattern creation

Sending Email or Whatsapp messages via Python code

Speech Recognition

Quiz Game

File Handling Project

Final Project Discussion

Data Science & Machine Learning

Starting with Data Science

Overview of this training.

Overview of Data Science

Terminologies in Data Science

Introduction to Machine Learning

What is Machine Learning?

Types of Machine Learning

How Machine Learning works?

Usage of Machine Learning.

Introduction to Python and Anaconda

Working on Jupyter IDE

Conditional statements in Python

Different types of data

List,Tuple Dictionary

Loops

Function & Packages

Function

Packages

Installing different packages of Python

Working on Various Python Libraries

NumPy

Pandas

Matplotlib

Scikit-learn

Working on NumPy

Introduction to Numpy Array

Creating arrays of different Dimensions

Indexing

Data processing using Array

Data Analysis using Pandas

Introduction to Pandas

Data Type of Pandas

Creating Dataframe using Pandas

Importing Dataset using Pandas

Various operations on data using Pandas tools

Data visualization using Matplotlib

Plotting data using Matplotlib library

Using various tools of Matplotlib

Types of Graph

Implementation of different types of Graphs

Applying Algorithms on Dataset using Scikit-learn

Data splitting

Using different algorithms for dataset

Prediction

Score check

Machine Learning algorithms

Regression analysis

Simple linear regression

Multi linear regression

Classification

Binary class classification

Multi class classification

Support Vector Machine

KNN algorithm

Projects

Area Price Prediction Project

Gender Classification Project

Iris Flower Species Classification Project

Digit Recognition Project

Survival Prediction on Titanic Project

Object Recognition Project

Insurance Purchase Prediction Project

Project Deployment

Datasets

IRIS Dataset

BMI Male Female Dataset

MNIST Dataset

DIGIT Dataset

Titanic Dataset

CIFAR Dataset

Statistics & Data Visualization using Tableau.

Statistics

Introduction to Statistics

Measures of Central Tendency

Understanding the spread of data

Data Distribution

Introduction to Probability

Probabilities of Discreet and Continuous Variables

Normal Distribution

Introduction to Inferential Statistics

Understanding the concept of Correlation

Data Visualization with Tableau

Introduction to Tableau

Connecting to data

Loading Data & Workbooks

Navigating Tableau

Dimensions & Measures

Starting with Visualization

Working on different datasets

Project on Data Visualization

Process flow of
Data Science Specialization Training

1

Step One

Simply purchase this course by clicking on Buy Now.

2

Step Two

Access content and complete it within definite timeline submitting all assignments.

3

Step Three

You will get certificate of training after successful completion of this training.

Data Science Specialization
FAQs

What will get covered in Data Science Specialization?

This program will give you hands-on experience with technologies like Python, Machine Learning, Tableau with a brief of data science. Improve your knowledge with this program and kickstart your journey for future.

Can I join this course after my graduation?

Yes, this course is suitable for recent graduates or students who are in their final years but willing to start a career in data science.There are no specific eligibility requirements to take this Data Science training.

Is this course available in offline mode also?

Yes, this course is available in offline mode also at our centers in Delhi NCR-Vaishali, Lucknow, Bhubaneswar & Varanasi.

I want to transfer my domain from non IT backgroud to Data Science background, Am I eligible?

Yes, this course is suitable for working professionals or for those who are seeking transition from non IT background to Data Science field.There are no specific eligibility requirements to take this Data Science training.