Online Classes > DataCamp

DataCamp | Dataquest | Metis

Candidates can choose between either two (2) R or two (2) Python classes.
Classes can be accessed at the Datacamp website. You are responsible for cost of the Datacamp classes. If you choose Datacamp, you must complete the following classes.
Note: When you complete the classes, submit the Datacamp certificates to certificates@fdpinstitute.org

DataCamp: Python track
1.    Introduction to Python   
Python is a general-purpose programming language that is becoming ever more popular for data science. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge. Unlike other Python tutorials, this course focuses on Python specifically for data science. In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses.

2.    Intermediate Python for Data Science  
Intermediate Python for Data Science is crucial for any aspiring data science practitioner learning Python. Learn to visualize real data with Matplotlib's functions and get acquainted with data structures such as the dictionary and the pandas DataFrame. After covering key concepts such as boolean logic, control flow, and loops in Python, you'll be ready to blend together everything you've learned to solve a case study using hacker statistics.

DataCamp: R track
1.    Introduction to R  
In Introduction to R, you will master the basics of this widely used open source language, including factors, lists, and data frames. With the knowledge gained in this course, you will be ready to undertake your first very own data analysis. Oracle estimated over 2 million R users worldwide in 2012, cementing R as a leading programming language in statistics and data science. Every year, the number of R users grows by about 40%, and an increasing number of organizations are using it in their day-to-day activities.

2.    Intermediate R  
Intermediate R is the next stop on your journey in mastering the R programming language. In this R training, you will learn about conditional statements, loops, and functions to power your own R scripts. Next, make your R code more efficient and readable using the apply functions. Finally, the utilities chapter gets you up to speed with regular expressions in R, data structure manipulations, and times and dates. This course will allow you to take the next step in advancing your overall knowledge and capabilities while programming in R.

  Brought to you by:


2020 Financial Data Professional Institute©

Contact Us: info@FDPinstitute.org 

Privacy | Policies | Terms of Use | FAQ

Powered by Wild Apricot Membership Software