PG/Masters Program in Data Science and AI

PG/Masters Program in Data Science and AI by ExcelR Solutions Training Institute Bangalore

Beginner 0(0 Ratings) 0 Students enrolled
Created by ExcelR Solutions staff Last updated Thu, 14-Apr-2022 English


PG/Masters Program in Data Science and AI free videos and free material uploaded by ExcelR Solutions staff .

Syllabus / What will i learn?

AGILE

Module 1 - Introduction To Agile

Module 2 - Agile Communications

Module 3 - Planning And Monitoring

Module 4 - Agile Metrics And Estimations

Module 5 - Agile Analysis And Design

Module 6 - Agile Analysis And Design (Continues)

Module 7 - Product Quality

Module 8 - Value Based Prioritization

Module 9 - Risk Management

Module 10 - Project Communications Management

Module 11 - Agile Project Management Office

Module 12 - Knowledge And Skills

Module 13 - Agile Methodologies (Brief Introduction)

INTERNET OF THINGS(IoT)

Module 1 - Introduction- Concepts And Technologies Behind Internet Of Things (IoT)

Module 2 -  IoT Architecture

Module 3 - IoT Device Design

Module 4 - IoT Communication Protocols

Module 5 - Cloud

Module 6 - Designing The IoT Product

Module 7 - Programming

Module 8 -  Hands-On Using Raspberry Pi Board

Module 9 -  Use Cases

Module 10 - Closer

SQL

Module 1 - Introduction To Databases

Module 2 - SQL Commands

Module 3 - Database Constraints

Module 4 - SQL Transactions

Module 5 - Database Objects

Module 6 - Stored Procedures And Functions

Module 7 - Database Triggers Accessing Database From R And Python

Module 8 - Basics Of MYSQL

R

Module 1 - Introduction To R Programming

Module 2 - Data Structures In R

Module 3 - Programming Statistical

Module 4 - How To Import Dataset In R

Module 5 - R-Packages

PYTHON

Module 1 - Introduction

Module 2 - Variables

Module 3 - Operators

Module 4 - Decision Making - Loops

Module 5 - String

Module 6 - List

Module 7 - Tuples

Module 8 - Dictionary

Module 9 - Function

Module 10 - Modules

Module 11 - Files

Module 12 - Directories

Module 13 - Exception Handling

Module 14 - OOP

Module 15 - Regular Expressions

Module 16 - CGI

Module 17 - GUI Programming

Module 18 - My SQL

Module 19 - Multi Threading

Module 20 - Framework

Module 21 - Data Analysis Libraries

DATA SCIENCE

Module 1 - Data Science Project Lifecycle

Module 2 - Introduction To R And Python Basic Statistics

Module 3 - Hypothesis Testing

Module 4 - Linear Regression

Module 5 - Logistic Regression

Module 6 - Regularization Techniques

Module 7 - Multinomial Regression

Data Mining Unsupervised

Module 8 - Data Mining Unsupervised - Clustering

Module 9 - Dimension Reduction

Module 10 - Data Mining Unsupervised - Network Analytics

Module 11 - Data Mining Unsupervised - Association Rules

Module 12 - Data Mining Unsupervised - Recommender System

Module 13 - Text Mining

Module 14 - Natural Language Processing

Classifiers

Module 15 - Machine Learning Classifiers - KNN

Module 16 - Classifier - Naive Bayes

Module 17 - Decision Tree And Random Forest

Module 18 - Bagging And Boosting

Module 19 - Black Box Methods

Module 20 - Survival Analysis

Module 21 - Forecasting

Assignments/Projects/Placement Support

Module 22 - Assignments

Module 23 - Projects

Module 24 - Resume Prep And Interview Support

ARTIFICIAL INTELLIGENCE

Module 1 - Introduction To Machine Learning

Module 2 - Machine Learning

Module 3 - Python Programming

Module 4 - Mathematics Foundation

Module 5 - Intro To Neural Network & Deep Learning

Module 6 - Parameter & Hyperparameter

Module 7 - Data Processing

Module 8 - CNN

Module 9 - RNN

Module 10 - Generative Adversarial Network

Module 11 - Reinforcement Learning

Module 12 - Assignments

Module 13 - Projects

TABLEAU

Module 1 - What Is Data Visualization?

Module 2 - Tableau – Data Visualization Tool

Module 3 - Tableau User Interface

Module 4 - Basic Chart Types

Module 5 - Intermediate Chart

Module 6 - Advanced Charts

Module 7 - Maps In Tableau

Module 8 - Adding Background Image

Module 9 - Data Connectivity In-Depth Understanding

Module 10 - Creating Calculated Fields

Module 11 - Responsive Tool Tips

Module 12 - Connecting Tableau With Tableau Server

Module 13 - Connecting Tableau With R

CLOUD AZURE

Module 1 - Cloud Computing

HADOOP AND SPARK

Module 1 - Introduction To Big Data

EXCEL

Module 1 - Advanced Excel –Basic

Module 2 - Advanced Excel -Sorting And Filtering Data

Module 3 - Advanced Excel -Data Validations

Module 4 - Advanced Excel -Text Function

Module 5 - Advanced Excel -Function & Formula

Module 6 - Advanced Excel -Pivot Tables

Module 7 - Advanced Excel –Charts & Slicers

Module 8 - Advanced Excel -Working With Templates

Module 9 - Advanced Excel -VBA-Macro

Module 10 - Advanced Excel -Variable In VBA

Module 11 - Advanced Excel -Message-Box And Input-Box Functions

Module 12 - VBA Coding Advanced Function

AMAZON WEB SERVICES (AWS)

Module 1 - About Cloud Technology

Module 2 - Chronology & History Of AWS

Module 3 - AWS Cloud Architecture & Infrastructure Details

Module 4 - AWS Elastic Compute Cloud Services(EC2)

Module 5 - Amazon Web Services Network Services

Module 6 - AWS Storage Services(S3)

Module 7 - AWS Relational Database Service(RDS)

Module 8 - IAM & Monitoring Services

Module 9 - Amazon AWS Route 53

Module 10 - AWS Monitoring & Notification Services



Curriculum for this course
0 Lessons 00:00:00 Hours
+ View more
Description

To cater to this special category of unicorn Data Science professionals, we at ExcelR have formulated a comprehensive 6-month intensive training program that encompasses all facets of the Data Science and related fields that at Team Leader / Manager is expected to know and more. Under this program, the selected participants will be given adequate hands-on important ETL tools; Learn the nuances of setting up a Big Data virtual lab; harness the power of Amazon web services; work with live scenarios in the agile environment; make interactive and


    You need online training / explanation for this course?

    1 to 1 Online Training contact instructor for demo :


    + View more

    Other related courses
    About the instructor
    • 0 Reviews
    • 0 Students
    • 60 Courses
    Student feedback
    0
    Average rating
    • 0%
    • 0%
    • 0%
    • 0%
    • 0%
    Reviews

    Material price :

    Free

    1:1 Online Training Fee: 10000 /-
    Contact instructor for demo :