Big Data Analytics Training

Lycasoft Technologies is the NO.1 Big Data Analytics training institute offering the best Big Data Analytics training in Coimbatore, expert guidance and 100% placement assistance.

Are you seeking a big data analyst job? Are you an IT professional longing for a career change in big data analytics? Are you a data analyst looking to acquire the best big data project support? Are you a team looking for the best big data analytics classroom training and real-time hands-on training on big data?

Are you looking for a fast track data analytics course? Are you willing to do one on one big data training in Coimbatore? Are you keen to undergo live online training on big data analytics? Are you a college student interested to learn data analytics? Do you need Bigdata Analytics project support on the job?

If any of these above questions is hitting your mind, Don’t worry…We are here to help you with big data course. From the day 1 until the course completion, Lycasoft management and are well-qualified data analytics tutors will provide you the unique, supportive and convenient learning environment. So, you can make use of this golden opportunity to learn a technology from the scratch until advanced programming.

Curriculum:

• CHAPTER 1: INTRODUCTION TO BIG DATA ANALYTICS
• Big Data Overview
• State of the Practice in Analytics
• The Data Scientist
• Big Data Analytics in Industry Verticals
• CHAPTER 2: DATA ANALYTICS LIFECYCLE
• Discovery
• Data Preparation
• Model Planning
• Model Building
• Communicating Results
• Operationalizing
• CHAPTER 3: REVIEW OF BASIC DATA ANALYTIC METHODS
• Using R
• Using R to Look at Data
• CHAPTER 4: INTRODUCTION TO R
• Analyzing and Exploring the Data
• Statistics for Model Building and Evaluation
• CHAPTER 5: ADVANCED BIG DATA ANALYTICS
• Theory and Methods
• K Means Clustering
• Association Rules
• Linear Regression
• Logistic Regression
• Naïve Bayesian Classifier
• Decision Trees
• Time Series Analysis
• Text Analysis
• CHAPTER 6: ADVANCED BIG DATA ECOSYSTEM ANALYTICS
• Technologies and Tools
• Analytics for Unstructured Data
• MapReduce and Hadoop
• The Hadoop Ecosystem
• In-database Analytics
• SQL Essentials
• Advanced SQL and Madlib for In-database Analytics
• PUTTING IT altogether
• Operationalizing an Analytics Project
• Creating the Final Deliverables
• Data Visualization Techniques