About the Course
Data Scientist with R language training is an ideal package for aspiring data analysts to gain expertise in data analytics using Big Data platform.
This training will ensure that you are technically competent in R programming language and advance concepts such as data visualization, exploration; statistical analysis concepts like linear & logistic regression, cluster analysis and forecasting and much more.
We have designed this course keeping in mind the huge opportunities in marketplace today due to lack of data scientists and their high demand in job market. Our faculties are highly experienced and knowledgeable on the concepts which comes to them because of their hands on experience on applying these concepts live in the industry.
The course starts from the very basics like: Introduction to Big Data concepts, basics of statistical analysis, R programming, how to import various formats of Data, data manipulation etc.
Then we will take a dive into the advanced topics like: Data Mining techniques, performing Predictive Analysis, Data Visualisation using R Commander, Deducer and much more.
By the time you complete this course, you will have enough knowledge and confidence in using R languate data manipulation functions like grepl(), sub(), apply(),etc.
You will also be able to perform Data Analysis using R, apply Data Visualisation to create fancy graphs, use Machine Learning (ML) techniques, use Decision Trees and Random Forests etc.
We will also provide real life case studies and project work to help you gain confidence in facing the real world with confidence!
Who Should Attend
The course is designed for the following people:
1. Those with technical background with a fair understanding of data and aspiring to be a ‘Data Scientist’
2. Analytics Managers who are leading a team of Business Analysts/Data Analysts and/or Data Scientists.
3. Professionals looking to gain understanding in Big Data Analytics.
4. Information Architects wanting to gain expertise in Predictive Analytics.
5. Hadoop Professionals who want to learn R and statistical data analysis.
6. Statisticians looking to implement the statistics techniques on Big data.
|1.||Introduction||Overview of RDBMS concepts, BIG Data concepts, Basics of Analytics, differences between Intelligence and Analytics, Importance of Big Data analytics.|
|2.||Big Data Architecture||Various components of Big Data and their communication mechanism, understanding Hadoop, PIG, Map Reduce, HIV, HDFS Concepts (Name Node, Secondary Node, Data Node etc.,) Safe Node, Replication and much more…|
|3.||Map Reduce Basics||Learn basics of Map Reduce programming concepts and constructs. Assignments, practice sessions to practically understand Map Reduce programming concepts for Data Scientists.|
|4.||Introduction To Data Scientist||What is the job of Data Scientists? Roles & responsibilities, Statistics, Machine Learning, introduction to R and more.|
|5.||Statistics Concepts||Single and Multi Variant Analysis, Time series Analysis, Regression Analysis, Correlations, Clustering etc., Statistical Functions – Mean, mode, Arithmetic and more, Data Mining and Forecasting and much more.|
|6.||R Analytics Software||Introduction to R, basic commends in R, Building statistic applications – Linear, Regression, time series analysis etc., practical assignments, case studies using R.|
|7.||Machine Learning Techniques||Neural Networks, Data Analytics, Bayesian Statistics, Data visualization, Clustering, Histograms and more hands on.|