About Course
The Data Science (DS) course will cover the whole data lifecycle ranging from Data Acquisition and Data Storage using RHadoop 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.
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 
KMeans 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 
FindS 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
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