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What is Data Science?
Data Science is the area of study which involves extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes. It helps you to discover hidden patterns from the raw data. The term Data Science has emerged because of the evolution of mathematical statistics, data analysis, and big data. Data Science is an interdisciplinary field that allows you to extract knowledge from structured or unstructured data. Data science enables you to translate a business problem into a research project and then translate it back into a practical solution.
Cyber Eagle Educational Services Pvt. Ltd. Data Science with R certification training course makes you an expert in data analytics using the R programming language. This course enables you to take your Data Science certification into a variety of companies, helping them analyze data and make more informed business decisions.
The Data Science with R programming course covers data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language. You will learn about R packages, how to import and export data in R, data structures in R, various statistical concepts, cluster analysis, and forecasting.
This Data Science training with R programming is beneficial for all aspiring data scientists including, IT professionals or software developers looking to make a career switch into analytics, professionals working in data and business analysis, graduates wishing to build a career in analytics, and experienced professionals willing to harness Data Science in their fields
There are no prerequisites for this Data Science with R certification course. If you are a beginner in Data Science, this is one of the best courses to start with.
1.Introduction to Data Science
2. Business Statistics
3. Introduction to Machine learning and Artificial Intelligence
4. Machine Learning – Statistical Modelling
Ada-Boost / Adaptive- Boosting
5. Forecasting Analysis
7. Python for Data Science
8.Artificial Neural Network
9. Deep Learning
10. Practical Use Case of How to Implement Prediction Models on data
11. Introduction To R:
12. Analytical visualization in Tableau
Offerings as a part of course
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