Learn SPSS, Minitab, SAS, & R Studio to Add 4 Essential Analytics Tools to Your Resume

Most modern companies put a lot of stock into data when making crucial business decisions. As such, they require employees that understand how to work with mass amounts of data, and effectively analyze it to get a holistic view of the company. These skills aren't just reserved for analysts, they're valuable for professionals in any capacity. As such, this bundle presents some of the major data analytics tools in use today: SPSS, Minitab, SAS, and R Studio. With over 201 hours of content, you'll be more than proficient with these tools and have four new certifications to bolster your resume. 

• Section 1: SPSS
  
  
  
  • Access 6 lectures & 17 hours of content
  
  
  • Perform complex data manipulation & analysis w/ simple instructions
  
  
  • Explore a wide variety of regression modeling & correlation techniques
  
  

• Section 2: Minitab
  
  
  
  • Access 3 lectures & 18 hours of content
  
  
  • Apply Minitab to predictive modeling
  
  
  • Learn regression modeling & correlation techniques in Minitab
  
  

• Section 3: SAS
  
  
  
  • Access 5 lectures & 48 hours of content
  
  
  • Apply SAS to business analytics & quantitative finance
  
  
  • Dive into SAS programming
  
  
  • Use SAS Enterprise Miner for predictive modeling
  
  

• Section 4: R Studio
  
  
  
  • Access 5 lectures & 118 hours of content
  
  
  • Learn R programming & R Studio to perform essential data science & business analytics tasks
  
  
  • Explore R Studio Anova techniques
  
  
  • Understand hypothesis testing w/ R