Online Course – Certified Professional Internship in Google Data Science Fundamentals

Create an in-depth overview of data science fundamentals.

Suggested by: Coursera (What is Coursera?)

Start your Coursera.com free trial today
קורס אונליין - התמחות מקצועית מוסמכת ביסודות מדע הנתונים של Google

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 principles such as analytical categories
  • The cross-industry standard process for data mining
  • Data diagnostics
  • Comparison between data science and classical statistical techniques
  • Data Analytics
  • Statistical models
  • Data Engineering
  • Large-scale data manipulation (Big Data)
  • Data mining algorithms
  • Data quality
  • Correction and consistency actions

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Big Data Expert
  • Systems Analyst
  • Algorithm developer
  • Data Project Manager
  • Data Science Consultant
  • Researcher in the field of statistics and data

Internship – 4-part course series

This specialization details data science and educates learners on the key skills, techniques, and principles of the field.

Course content

  • Basic principles such as analytical categories
  • The cross-industry standard process for data mining
  • Data diagnostics
  • Comparison between data science and classical statistical techniques
  • An overview of the most common techniques in data science:
    • Data Analytics
    • Statistical models
    • Data Engineering
    • Large-scale data manipulation (Big Data)
    • Data mining algorithms
    • Data quality
    • Correction and consistency actions

Applied Learning Project

This specialization has a culminating assignment in the fourth course that allows students to apply what they have learned about data science to a practical business scenario. This assignment requires students to evaluate a business scenario and then select the best analytical approach to solve the business problem in question.

Details of the courses that make up the specialization

Introduction to analytical thinking, data science, and data research

Course 1

Duration: 7 hours

Rating: 4.2 (137 ratings)

What will you learn?

  • The knowledge and skills required to work in data science
  • How data science is used to solve business problems
  • Benefits of using the Cross-Standard Process for Data Mining (CRISP-DM)

Skills you will develop

  • Environmental data analysis
  • Data documentation
  • Geophysical data
  • Data mining

Predictive modeling, model fitting, and regression analysis

Course 2

Duration: 4 hours

Rating: 4.4 (60 ratings)

What will you learn?

  • Applying predictive models in professional and academic work
  • Applications of Classification Analysis: Decision Trees
  • Applications of Regression Analysis (Universal and Logistic)

Cluster analysis, association mining, and model estimation

Course 3

Duration: 3 hours

Rating: 4.5 (41 ratings)

What will you learn?

  • Cluster analysis and segmentation
  • Collaborative filtering and shopping cart analysis
  • Applications of classification and regression prediction models

Natural language processing and task completion

Course 4

Duration: 4 hours

Rating: 4.4 (36 ratings)

What will you learn?

  • Applications of natural language processing
  • Basic principles of social media analysis
  • Future trends and capabilities in data science

Related products