Data Science Training

About Course

The Data Science (DS) course will cover the whole data lifecycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modeling through R programming using Machine learning algorithms, and illustrate impeccable Data Visualization by leveraging on ‘R’ capabilities.

Why Learn DS?

DS training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying (DS) job title with Big Data skills and expertise in R programming, Machine Learning, and Hadoop framework.

After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyze Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyze data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

Course Content

Data Science Training Videos

Data Science For Beginners

00:00
Data Science Tutorial For Beginners

00:00
What Is Data Science?

00:00
Who is a Data Scientist?

00:00
Data Analyst vs Data Engineer vs Data Scientist

00:00
Data Scientist Job, Career & Salary

00:00
Data Scientist Roles and Responsibilities

00:00
Top 10 Reasons to Learn Data Science

00:00
How to Become a Data Scientist

00:00
Data Science Applications

00:00
Introduction to R Programming

00:00
Why R?

00:00
Introduction to Functions in R

00:00
Data Science with R

00:00
Machine Learning with R

00:00
Predictive Analytics Using R

00:00
R vs Python

00:00
What is Machine Learning?

00:00
Machine Learning Algorithms

00:00
Data Science Interview Questions

00:00
Data Scientist Resume

00:00
SQL For Data Science Tutorial

39:01
Top 5 Algorithms used in Data Science

00:00
K-Means Clustering Algorithm

00:00
Decision Tree Algorithm & Analysis

00:00
Naive Bayes Classifier Tutorial

00:00
Random Forest Tutorial

00:00
Linear Regression Algorithm

00:00
Logistic Regression in R

00:00
Linear Regression vs Logistic Regression

00:00
Sentiment Analysis in R

00:00
KNN Algorithm Using R

00:00
Time Series In R

00:00
Text Mining In R

00:00
Support Vector Machine Tutorial Using R

00:00
Jupyter Notebook Tutorial

00:00
What is Deep Learning

00:00
What Is Artificial Intelligence?

00:00
Data Science and Machine Learning for Non Programmers

00:00
Best Python Libraries For Data Science & Machine Learning

00:00
Python Projects For Beginners

00:00
Statistics And Probability Tutorial

00:00
E & ICT Academy NIT Warangal Partners

00:00
Introduction to Data Subsetting

00:00
Association Rule Mining

00:00
Understanding Hadoop Streaming

00:00
Supervised Learning

00:00
Problem Datasets In Data Science

00:00
Introduction to RHDFS

00:00
Introduction to RMR

00:00
RHadoop – Integrating R with Hadoop

00:00
Parallel Processing Tutorial

00:00
Develop a Data Science Project

00:00
Hill Climbing Algorithm

00:00
Find-S Algorithm in Machine Learning

00:00
The Future of AI

00:00
What is Cognitive AI?

00:00
Data Science Future Scope

00:00
Predictive Analysis Using Python

00:00
How to Learn Data Science in 2020

00:00

Student Ratings & Reviews

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About Course

The Data Science (DS) course will cover the whole data lifecycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modeling through R programming using Machine learning algorithms, and illustrate impeccable Data Visualization by leveraging on ‘R’ capabilities.

What Will You Learn?

Course Content

Data Science Training Videos

Data Science For Beginners

Data Science Tutorial For Beginners

What Is Data Science?

Who is a Data Scientist?

Data Analyst vs Data Engineer vs Data Scientist

Data Scientist Job, Career & Salary

Data Scientist Roles and Responsibilities

Top 10 Reasons to Learn Data Science

How to Become a Data Scientist

Data Science Applications

Introduction to R Programming

Why R?

Introduction to Functions in R

Data Science with R

Machine Learning with R

Predictive Analytics Using R

R vs Python

What is Machine Learning?

Machine Learning Algorithms

Data Science Interview Questions

Data Scientist Resume

SQL For Data Science Tutorial

Top 5 Algorithms used in Data Science

K-Means Clustering Algorithm

Decision Tree Algorithm & Analysis

Naive Bayes Classifier Tutorial

Random Forest Tutorial

Linear Regression Algorithm

Logistic Regression in R

Linear Regression vs Logistic Regression

Sentiment Analysis in R

KNN Algorithm Using R

Time Series In R

Text Mining In R

Support Vector Machine Tutorial Using R

Jupyter Notebook Tutorial

What is Deep Learning

What Is Artificial Intelligence?

Data Science and Machine Learning for Non Programmers

Best Python Libraries For Data Science & Machine Learning

Python Projects For Beginners

Statistics And Probability Tutorial

E & ICT Academy NIT Warangal Partners

Introduction to Data Subsetting

Association Rule Mining

Understanding Hadoop Streaming

Supervised Learning

Problem Datasets In Data Science

Introduction to RHDFS

Introduction to RMR

RHadoop – Integrating R with Hadoop

Parallel Processing Tutorial

Develop a Data Science Project

Hill Climbing Algorithm

Find-S Algorithm in Machine Learning

The Future of AI

What is Cognitive AI?

Data Science Future Scope

Predictive Analysis Using Python

How to Learn Data Science in 2020

Student Ratings & Reviews