Full Stack Data Science with Python, Numpy and R Programming

Full Stack Data Science with Python, Numpy and R Programming Course includes 30hrs video content and enrolled by 16k+ students and received a 4.5 average review out of 5. Now, you will get 90%OFF on the original price of the course and discount price differs from country to country, and the course provider offers 30-days money-back guarantee! If you are not satisfied in any way, you’ll get your money back.

What you’ll learn

  • Learn R programming without any programming or data science experience
  • If you are with a computer science or software development background you might feel more comfortable using Python for data science
  • In this course you will learn R programming, Python and Numpy from the beginning
  • Learn Fundamentals of Python for effectively using Data Science
  • Fundamentals of Numpy Library and a little bit more
  • Data Manipulation
  • Learn how to handle with big data
  • Learn how to manipulate the data
  • Learn how to produce meaningful outcomes
  • Learn Fundamentals of Python for effectively using Data Science
  • Learn Fundamentals of Python for effectively using Numpy Library
  • Numpy arrays
  • Numpy functions
  • Linear Algebra
  • Combining Dataframes, Data Munging and how to deal with Missing Data
  • How to use Matplotlib library and start to journey in Data Visualization
  • Also, why you should learn Python and Pandas Library
  • Learn Data Science with Python
  • Examine and manage data structures
  • Handle wide variety of data science challenges
  • Create, subset, convert or change any element within a vector or data frame
  • Most importantly you will learn the Mathematics beyond the Neural Network
  • The most important aspect of Numpy arrays is that they are optimized for speed. We’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list.
  • You will learn how to use the Python in Linear Algebra, and Neural Network concept, and use powerful machine learning algorithms
  • Use the “tidyverse” package, which involves “dplyr”, and other necessary data analysis package

Who this course is for:

  • Anyone interested in data sciences
  • Anyone who plans a career in data scientist,
  • Software developer whom want to learn data science,
  • Anyone eager to learn Data Science with no coding background
  • Statisticians, academic researchers, economists, analysts and business people
  • Professionals working in analytics or related fields
  • Anyone who is particularly interested in big data, machine learning and data intelligence

Course Created by Oak Academy & Offered by Udemy

Can I download Full Stack Data Science with Python, Numpy and R Programming course?

Course videos can be downloaded for offline viewing using the Udemy mobile app on Android and iOS. Some courses may allow downloading lectures on a computer only if the instructor has enabled it, but this is not guaranteed and is not the primary method Udemy supports.
Can I get a certificate after completing the course?
Yes. After successful completion of the Full Stack Data Science with Python, Numpy and R Programming, learners will receive a certificate of completion. The certificate confirms that the course has been completed and can be downloaded and shared on resumes or professional profiles.
Are there any other coupons available for this course?
Additional coupons for this course may be available from time to time. Coupon availability is time-limited and may change or expire at any time, so it’s recommended to check regularly for updated offers.

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