Data Sciences

Data Sciences

   This course is focused to design to impart an in-depth knowledge of the various data analytic techniques which are performed using R. The course is designed with real time projects, case studies and R cloud labs to practice.

Statistics:   We can get the behavior of the data by understanding descriptive and inferential statistics .

Machine Learning:   Train the machine by feeding the sample data to get the future patterns.

Data Visualization:

        Data Visualization helps to deliver information clearly and efficiently to the users by using graphical data such as tables and charts. It helps to analyse the complex data in a simpler way. It makes large data more accessible, understandable and usable.

 What you will Learn

• The students will get the basic understandings of business analytics
• Gain foundational understandings of various statistical concepts
• Let you know the use of linear, non-linear regression models, and classification techniques for data analysis
• To know how to use clustering methods including K-means, DBSCAN and hierarchical clustering.
• Learn how to use various association rules and Apriori algorithm.

Who can Sign-up for this course:

• IT professionals looking to switch career as data scientist and data analyst
• Graduates who want to build career in analytics and data science
• Anyone who is passionate in data science field

Career Options:

• Data Analyst
• Data Scientist
• Business Intelligence Analyst
• Business Intelligence Developer
• Data Architect