My company needs a two 5 day training session in Data Analytics and R Programming in DC. I would like to include these the topics for each session:
Training Session #1 should address foundation aspects of Data Science, including the following topics in the suggested timeframe:
• Learning about and working with data types (e.g. integers, strings) and data structures (e.g. lists, dictionaries, arrays). ~One (1) day • Data cleaning techniques to prepare data for analysis ~One (1) day • Data manipulation through cuts, subsets, transforms, and merges using programing, such as SQL. ~One (1) day • Statistical programming in R: one (1) day on skill-building and programming logic and one (1) day working with a data set to practice visualization techniques and problem-solving. ~Two (2) days
Training Session #2 should reinforce the foundation skills introduced in Session #1 and expand knowledge by addressing the following topics in the suggested timeframe:
• Reviewing the topics covered in the first training session. ~One (1) day • Basic statistics and its applications with respect to particular data types and structures, including SQL. ~One (1) day
Advanced statistical techniques in R, including regressions. ~One (1) day • Using R for analytics (e.g. creating variables from the data). ~One (1) day • Reviewing of concepts and data visualization techniques through working with data set and problem solving. ~One (1) day
2.1 The Contractor may propose an alternate training schedule as long as all the topic areas above are covered in the training.