Course overview

This comprehensive course is designed to empower you in the dynamic field of data science. Whether you're just starting your journey or seeking to enhance your skills, our course offers a unique blend of R and Python, two of the most influential languages in the realm of data sciences.

Advance your Career Opportunities

Mastering Data Science with R and Python

  • Stand out in your field

  • Learn at your own pace

  • Showcase your Data Science skills

Course curriculum

  • 1

    BONUS: Book your 1 to 1 consultation

    • Book your 1 to 1 Data Science Consultation
  • 2

    Welcome To The Course-Duetting With R and Python

  • 3

    Data Reading In R and Python

    • Read in Tabular Data

    • Read in Tabular Data-Python
  • 4

    Data Wrangling and Visualisation-R

    • Introduction To Data Cleaning

    • Data Cleaning

    • Data Wrangling-Part 1

    • Data Wrangling-Part 2

    • A Data Visualisation Case Study In R
  • 5

    Data Wrangling and Munging-Python

    • Remove NAs

    • Wrangling and Munging Data (With Python)
  • 6

    Machine Learning

    • What Is Machine Learning?

    • kNN Classification

    • Random Forest Theory

    • RF Classification

    • SVM Classification

    • Random Forest (With R)

    • Random Forest-Impact Of Variables

Key features

  • Duetting with R and Python: Learn to seamlessly work with both R and Python in data science applications.

  • Data Reading in R and Python: Master the art of efficiently reading and loading data using both languages.

  • Data Wrangling and Visualization (R): Dive into data manipulation and create compelling visualizations using R.

  • Data Wrangling and Munging (Python): Explore Python's capabilities in data wrangling and munging techniques.

  • Machine Learning: Gain hands-on experience in implementing machine learning algorithms for data-driven insights.

Who Is This Course For

  • Aspiring Data Scientists

  • Professionals looking to master both R and Python in the context of data science

  • Data Analysts seeking to enhance their skills

Exclusive Bonus

Get 1 to 1 Consultation about your Data Science Career

  • Tailored Solutions

    Address your specific challenges with a personalized action plan

  • Accelerated Learning

    Benefit from focused guidance to quickly advance your skills.

  • Career Advancement

    Strategize your career path with expert advice.

What are you waiting for?

Master Data Science with Practical Approach

Enroll Now

Course Instructor

Bestselling Instructor & Data Scientist (Cambridge University)

Minerva Singh

Hello. I am a PhD graduate from Cambridge University where I specialized in Tropical Ecology. I am also a Data Scientist on the side. As a part of my research I have to carry out extensive data analysis, including spatial data analysis.or this purpose I prefer to use a combination of freeware tools- R, QGIS and Python.I do most of my spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing and analysis. I also hold an MPhil degree in Geography and Environment from Oxford University. I have honed my statistical and data analysis skills through a number of MOOCs including The Analytics Edge (R based statistics and machine learning course offered by EdX), Statistical Learning (R based Machine Learning course offered by Standford online). In addition to spatial data analysis, I am also proficient in statistical analysis, machine learning and data mining. I also enjoy general programming, data visualization and web development. In addition to being a scientist and number cruncher, I am an avid traveler.