Online Course – Certified Professional Internship in Data Science and Google Analytics Tools, Codio

A hands-on introduction to data science. Analyze data and create data visualizations using industry-leading tools with no installation required!

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קורס אונליין - התמחות מקצועית מוסמכת במדעי הנתונים וכלי ניתוח של גוגל

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Data preparation
  • Visually present data
  • Comparing data sets
  • Describing relationships between data
  • Create a variety of data visualizations
  • Working with real datasets

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Data Analyst
  • Beginner Data Scientist
  • Data visualization developer
  • Data Science Specialist
  • Data analysis professional
  • Software developer with an emphasis on data analysis
  • Data scientist
  • Data Consultant

Internship – 4-part course series

The specialization is designed for people who have no programming experience and are looking for a comfortable introduction to data science, using Python and R to describe and visualize data sets. This course will provide interns with a knowledge base in data analysis, suitable for any analyst role.

Main topics

  • Data preparation
  • Visually present data
  • Comparing data sets
  • Describing relationships between data

These topics will help you prepare to deal with different types of datasets, thereby gaining sufficient knowledge in data science.

Hands-on Learning Project

Students will create a variety of data visualizations based on real datasets that they import and prepare. for example:

  • Determining and presenting professions with the highest monthly salaries in 2014
  • Examining the relationship between people’s characteristics such as gender and their height and/or weight

Details of the courses that make up the specialization

Course 1: Data Analysis in Python with Pandas and Matplotlib in Spyder

Course duration: 10 hours

What you’ll learn:

  • Describe a set of numerical data using statistics
  • Import and plot a mixed dataset using pandas and matplotlib
  • Determine whether populations differ using statistical tests
  • Describe relationships between variables using statistical tests

Skills you will acquire:

  • Basic descriptive statistics
  • Data Analytics
  • Python programming
  • Functions
  • Variables

Course 2: Visualizing and Communicating Results in Python with Jupyter

Course duration: 10 hours

What you’ll learn:

  • Create graphs to describe and compare the composition of data sets.
  • Illustrate the distribution of data using visualizations
  • Create visualizations for specialized data (e.g., geographic, 3D, etc.)

Skills you will acquire:

  • Data Science
  • Bar graph
  • Python programming
  • Visual communication
  • Histogram

Course 3: Data Analysis in R with RStudio and Tidyverse

Course duration: 9 hours

What you’ll learn:

  • Describe a set of numerical data using statistical functions in R
  • Import and modify data sets using Tidyverse
  • Determine whether populations differ using statistical tests
  • Use statistical tests to describe or explain the relationship between data sets

Skills you will acquire:

  • Basic descriptive statistics
  • Data Analytics
  • Functions
  • Programming in R
  • Rstudio

Course 4: Data Visualization and Results Communication in R with RStudio

Course duration: 9 hours

What you’ll learn:

  • Create graphs to describe and compare the composition of data sets.
  • Illustrate the distribution of data using visualizations
  • Create special visualizations like heat maps, correlograms, and mosaic graphs
  • Use R Markdown to create documents, reports, and presentations

Skills you will acquire:

  • Data Science
  • Bar graph
  • Visual communication
  • Histogram
  • Programming in R

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