Language Shala is a leading institute of Data Science course in Pune , paying tons of attention and requirements of the market by keeping an eye fixed on the recent trending technologies. The data scientists not only get respected stances in numerous fields but also are known for drawing excellent earnings.
About Data Science
We are the best Training in Pune that provide the best training to the candidates and has been marked for excellence for a long time. In simple terms, data science is nothing more than data mining because it extracts all data, whether it is structured or unstructured, employing methods, scientific methods, algorithms, and systems to extract consciousness. Our team of skilled experienced trainers has designed the advanced Data Science Curriculum in a way that advances the students in all ways.
In the contemporary generation, there has been an astonishing explosion in information. Data science has evolved over time to become an essential component of significant fields including corporate analytics, commerce, and land management.
The ability of data science to address problems is its strongest feature. Within a provided file by using data analysis and understanding of several aspects of data. Since regions have required data science in the past, it’s obtained outstanding vogue. Trainers commonly concentrates on the utilization of statistical methodologies that are usually pertained to in an identical way irrespective of the arena.
- BE/ Bsc Candidate
- Any Engineers
- Any Graduate
- Any Post-Graduate
- Working Professionals
Syllabus Data Science
1. Installation Of Vmware
2. MYSQL Database
1.1 Introduction to Big Data
1.2 Characteristics of Big Data
1.3 Big data examples
i) BigData Inroduction,Hadoop Introduction and HDFS Introduction
1.1. Hadoop Architecture
1.2. Installing Ubuntu with Java on VM Workstation 11
1.3. Hadoop Versioning and Configuration
1.4. Single Node Hadoop installation on Ubuntu
1.5. Multi Node Hadoop installation on Ubuntu
1.6. Hadoop commands
Cluster architecture and block placement
1.8. Modes in Hadoop
Pseudo Distributed Mode
Fully Distributed Mode