Online Course – Certified Professional Internship in Data Science with Python and Google R, Università di Napoli Federico II

Become a data expert with Python and R. Advance your career as a data scientist. Analyze real-world datasets and learn how to use R and Python properly.

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קורס אונליין - התמחות מקצועית מוסמכת בנתוני מדע עם Python ו-R של Google

Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Data structures in R
  • Data processing
  • Data visualization techniques
  • Using Numpy and Pandas for data management
  • Using Matplotlib to display data
  • Solving classification, object recognition, and semantic segmentation problems using PyTorch
  • Ability to critically read data
  • Evaluating the work of others without bias

What you will learn in the course

Courses for which the course is suitable

  • Data Scientist
  • Data Analyst
  • Software developer
  • Python developer
  • Developer in R
  • Data visualization expert
  • Data Engineer
  • Data scientist
  • Information Systems Analyst
  • Algorithm developer

Expertise – 3-part course series

This specialization is for anyone interested in acquiring basic Python programming skills and learning how to use R and Python to solve data science problems.

What will you learn?

  • Data structures in R
  • Data processing
  • Data visualization techniques
  • Using Numpy and Pandas for data management
  • Using Matplotlib to display data
  • Solving classification, object recognition, and semantic segmentation problems using PyTorch

Final test

The final test will allow you to develop critical reading skills of data and make unbiased evaluations of your colleagues’ work.

Hands-on Learning Project

Students will be required to apply the knowledge and skills they have acquired throughout the three courses and in the labs designed for this purpose. In addition, students will be asked to analyze and evaluate the work of other students.

The ability to read, understand, and evaluate the work of others without bias is a basic requirement for success in a data scientist career!

Details of the courses that make up the specialization

Python: Instructions for use

Course 1: Python Programming

Course duration: 16 hours

Rating: 4.1 (35 ratings)

What you’ll learn:

  • Basic principles of Python programming, interpreted languages, and development environments
  • Object-oriented programming: classes, objects, double inheritance
  • Using modules and packages
  • File management, exceptions and database access

Course 2: Machine Learning and Data Mining in R

Course duration: 30 hours

What you’ll learn:

  • Import, manipulate, and display data using R and tidyverse packages (dplyr, ggplot2)
  • Solving supervised and unsupervised learning problems in R
  • Understanding the differences between convolutional neural networks and deep networks

Skills you will acquire:

  • R packages: dplyr, ggplot2, leaps, glmnet, pls
  • Carpet and deep neural networks
  • Supervised and unsupervised learning

Course 3: Python for Data Science

Course duration: 18 hours

What you’ll learn:

  • Processing and displaying data in Python using popular libraries
  • Collect, train, and use neural networks (feedforward and recurrent networks) with scikit learn
  • Using Keras and PyTorch tools for deep learning
  • Training and using encoder/decoder networks to analyze medical segments

Skills you will acquire:

  • Data acquisition, organization and processing
  • Structured and unstructured data analysis
  • Proactive problem solving
  • Writing code correctly and efficiently

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