Python & R Programming

Learn the two most widely used programming languages with Data Science: Python and R
4.10 (216 reviews)
Udemy
platform
English
language
Other
category
Python & R Programming
46 104
students
25 hours
content
Nov 2020
last update
$19.99
regular price

Why take this course?

🎉 Master Python & R for Data Science with Sai Acuity Institute of Learning! 📊💻


Unlock the Power of Data Science with Two Leading Languages

Python & R Programming course at Sai Acuity Institute of Learning is your gateway to becoming a proficient data scientist. Both Python and R are indispensable in the realm of Data Science, each with its unique strengths. Python's simple syntax makes it a favorite among beginners and seasoned developers alike, while R's powerful statistical capabilities make it a cornerstone for statisticians and data analysts.

R - The Statistician's Toolkit 📈

  • Origins: Born in the mid-90s, R was crafted by Ross Ihaka and Robert Gentleman with a vision to simplify data analysis and statistical modeling.
  • Strengths: R excels in data visualization, statistical modeling, and is the go-to for many complex analytical tasks. It's perfect for exploratory work and can even be integrated into big data solutions.
  • Key Packages:
    • dplyr, plyr, and data.table for data manipulation,
    • stringr for string operations,
    • zoo for time series analysis,
    • ggvis, lattice, and ggplot2 for data visualization,
    • caret for machine learning applications.
  • IDE: Start with RStudio IDE to streamline your workflow.

Python - The Versatile Programmer's Choice 🐍

  • Origins: Python was created by Guido Van Rossum in 1991, emphasizing code readability and developer productivity.
  • Strengths: Python is a versatile tool suitable for web development, scripting, and statistical analysis. It's particularly well-suited for integrating statistics code with production databases or web applications.
  • Key Libraries:
    • NumPy and SciPy for scientific computing,
    • pandas for data manipulation,
    • matplotlib for creating graphics,
    • scikit-learn for machine learning tasks.
  • IDEs: Explore Spyder, IPython Notebook, and Rodeo to find your preferred environment.

Choose Your Tool, Master Data Analysis 🧠

As a data scientist, the choice between Python and R often depends on:

  • The specific problems you're trying to solve,
  • The costs associated with learning each language,
  • The commonly used tools in your field, and
  • The additional tools available and how they complement each other.

Learn Both for a Competitive Edge 🏆

Our expert instructors at Sai Acuity Institute of Learning recommend mastering both Python and R. Many successful data science teams today are bilingual, effectively leveraging the strengths of both languages to enhance their work.


Real Student Feedback 💬

  • "I am confident that this course will better my skills in coming days." - Ch Hemalatha
  • "A good match for my learning needs." - Fashagba Tosin Sarah
  • "Good for basics and non-technical individuals." - Muhammad Azam
  • "It's very good and I'm eager to learn how data science impacts our daily lives and its potential to address social issues." - Jacquline Andrew Kayuni
  • "The course was quite good and challenging in a positive way." - Ilesanmi Ayo Jimba

Embark on your Data Science journey with Python & R Programming at Sai Acuity Institute of Learning. Enroll today and become a part of the future of data analysis! 🚀🎓

Don't wait to unlock your potential – Join us and let the data speak for itself! 🎉

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3152484
udemy ID
21/05/2020
course created date
07/06/2020
course indexed date
Lee Jia Cheng
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