Data Science is all about mining hidden insights of data pertaining to trends, behavior, interpretation and inferences to enable informed decisions to support the business. The professionals who perform these activities are said to be a Data Scientist / Science professional. Data Science is the most high-in-demand profession and the most sort after profession in the world. Skills and tools ranging from Statistical Analysis, Text Mining, Regression Modelling, Predictive Analytics, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Predictive Modelling, R Studio, Tableau, Spark, Hadoop are covered extensively as part of this Data Science training.

Business organizations realized the value of analyzing the historical data in order to make informed decisions and improve their business. Digitalization across the domains is creating tons of data and the demand for the Data Science professionals who can evaluate and extract meaningful insights is increasing and creating millions of jobs in the space of Data Science. There is a huge void between the demand and supply and thereby creating ample job opportunities and salaries. Data Scientists are considered to be the highest in the job market. Data Scientist career path is long-lasting and rewarding as the data generation is increasing by leaps and bounds and the need for the Data Science professionals will increase perpetually.

On successful completion of this course, the learner will be able to:

• Hidden insights of data pertaining to trends, behavior, interpretation and inferences
• Analyzing the historical data in order to make informed decisions and improve their business.
• Excel in working with Tableau
• Learn about how data is playing a key role in an organization.
• Learn about High-level overview of Data Science project management methodology, Statistical Analysis using examples
• Understand Statistics, the various Moments of business decision and other Basic Statistics Concepts.
• Learn about some graphical techniques in Analytics
• Learn about the Models and Assumptions for building Linear Regression Models
• Build Multiple Linear Regression Models and evaluate the results of the Linear Regression Analysis.
• Understand the Master / Slave architecture of Hadoop.

This course is ideal for:

• Business analysts
• Operators
• Job Seekers
• End users
• Developers
• Graduates
• Retrenched
• IT professionals
• Professional from any domain who has logical, mathematical and analytical skills
• Professionals working on Business intelligence, Data Warehousing and reporting tools
• Statisticians, Economists, Mathematicians
• Software programmers
• Business analysts
• Six Sigma consultants
• Fresher from any stream with good Analytical and logical skills