Data Analyst

Untitled design
21
Jul
Requirements
  • Basic knowledge of R and Python
  • Knowledge of the GGPlot2 package is recommended
  • Knowledge of dataframes
  • Knowledge of vectors and vectorized operations
Description

Ready to take your R and Python Programming skills to the next level?

Want to truly become proficient at Data Science and Analytics with R and Python?

This course is for you!

Professional R and Python Video training, unique data sets designed with years of industry experience in mind, engaging exercises that are both fun and also give you a taste for Analytics of the REAL WORLD.

In this course you will learn:

  • How to prepare data for analysis in R and Python
  • How to perform the median imputation method in R and Python
  • How to work with date-times in R and Python
  • What Lists are and how to use them
  • What the Apply family of functions is
  • How to use apply(), lapply() and sapply() instead of loops
  • How to nest your own functions within apply-type functions
  • How to nest apply(), lapply() and sapply() functions within each other
  • And much, much more!

The more you learn the better you will get. After every module you will already have a strong set of skills to take with you into your Data Science career.

Who this course is for:
  • Anybody who has basic R and Python knowledge and would like to take their skills to the next level
  • Anybody who has already completed the R and Python Programming A-Z course
  • This course is NOT for complete beginners in R and Python

Course Content

Time: 10 weeks

Curriculum is empty

Instructor

Free

30-Day Money-Back Guarantee

Includes

  • 46 hours on-demand video
  • 16 Articles
  • 39 Supplemental Resources
  • Full lifetime access
  • Language: English
  • Certificate of Completion

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