Online Course – Google Certified Professional Internship in Data Science

Start your career in data science. Learn the process of developing data-driven projects, including problem formulation, model evaluation, and interpretation, using the tools and languages ​​that will ensure success as a data scientist.

Suggested by: Coursera (What is Coursera?)

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

  • Basic knowledge of statistical-based theoretical models
  • Machine learning-based predictive models
  • Techniques for integrating, exploring, and preparing data
  • Python programming language and libraries for data management and analysis

What you will learn in the course

Courses for which the course is suitable

  • Data Scientist
  • Data Analyst
  • Data Engineer
  • Predictive Model Developer
  • Machine Learning Expert
  • Data Analyst
  • Data Science Project Manager
  • Data and Statistics Consultant

Internship – 3-part course series

This data science program allows you to acquire and develop key technical skills that will enable you to contribute as a team member on a data science project. These skills are increasingly in demand in the job market.

Main topics:

  • Basic knowledge of statistical-based theoretical models
  • Machine learning-based predictive models
  • Techniques for integrating, exploring, and preparing data
  • Python programming language and libraries for data management and analysis

Hands-on Learning Project

Students can apply what they have learned to cases related to sectors such as real estate, environment, and human resources, using data similar to those used in reality. This way, they can get closer to participating in the development of data-centric projects and strengthen their skills as data scientists.

Details of the courses that make up the specialization

Introduction to Data Science

Course 1

19 hours
4.7 (370 reviews)

Course Details

What will you learn?

  • Identify the basic aspects of data science projects and the ASUM-DM methodology.
  • Use descriptive and inferential statistics using Jupyter Notebook.
  • Perform analyses that include more than one variable to verify hypotheses.

Skills you will acquire

  • Searching for business analytics opportunities.
  • Validation of initial business hypotheses.
  • Predictive models with machine learning.

Course 2

20 hours
4.7 (57 reviews)

Course Details

What will you learn?

  • Understand what machine learning is.
  • Build predictive models with machine learning tools in Python.
  • Understand the data-driven project development process.

Skills you will acquire

  • Managing Python-based libraries.
  • Development of regression and ranking models.
  • Data integration and preparation.

Course 3

19 hours
4.9 (82 reviews)

Course Details

What will you learn?

  • Understand the process of searching, transforming, and integrating data.
  • Apply techniques to explore, transform, and integrate data sources.
  • Identify and resolve data issues.

Skills you will acquire

  • Identify and resolve data problems.
  • Applying techniques to explore, transform, and integrate data sources.
  • Use of feminine tools and languages ​​by data professionals.