Online Course – Google Certified Professional Internship in Data Analysis and Interpretation, Wesleyan University

Learn the fundamentals of data science. Achieve real-world impact with a four-course introduction to data science.

Suggested by: Coursera (What is Coursera?)

Start your Coursera.com free trial today
קורס אונליין - התמחות מקצועית מוסמכת בניתוח ופרשנות נתונים 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

  • Programming in SAS or Python
  • Analytical methods and applications
  • Basic data science tools
  • Data management and visualization
  • Modeling and machine learning

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Data Scientist
  • Software developer in SAS or Python
  • Modeling and Machine Learning Expert
  • Analytical Project Manager
  • Data consultant
  • Researchers in the field of data science
  • Data visualization professionals
  • Working in industries that require insights from data

Internship – a series of 5 courses

Learn to program in SAS or Python, expand your knowledge of analytical methods and applications, and undertake original research to help with complex decisions.

What will you learn?

  • Programming in SAS or Python
  • Analytical methods and applications
  • Basic data science tools
  • Data management and visualization
  • Modeling and machine learning

Final project

In the final project, you will use real data to address an important issue in society, and present your findings in a high-quality, professional report.

Collaborations with industry

  • Working with DRIVENDATA
  • Working with The Connection

Who is this for?

The internship is intended for:

  • Those considering a career in the data industry
  • Working in contexts where superiors trust them for insights into data
  • Those who have burning questions to investigate

No previous experience is necessary. By the end, you will master statistical methods to conduct original research and assist in complex decisions.

Details of the courses that make up the specialization

Data management and visualization

Course 1
12 hours
4.4 (934 ratings)

What you’ll learn

In this course, you will discover what data is and think about the questions you have that can be answered by the data. You will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present the results clearly. By the end of the course, you will be able to use advanced data analysis tools – SAS or Python.

Data analysis tools

Course 2
10 hours
4.5 (414 ratings)

What you’ll learn

Develop and test hypotheses about your data. Learn a variety of statistical tests and explore ANOVA, Chi-square test, and Pearson correlation analysis. This course will guide you through basic statistical principles.

Actual regression model

Course 3
10 hours
4.4 (273 ratings)

What you’ll learn

This course focuses on regression analysis. You will learn how to adjust when two variables do not show a clear linear relationship, and you will be able to identify confounding variables. You will learn the assumptions underlying regression analysis and how to interpret regression coefficients.

Machine learning for data analysis

Course 4
10 hours
4.2 (322 ratings)

What you’ll learn

This course helps you predict future outcomes using your data. You will learn supervised machine learning concepts, techniques, and other machine learning algorithms.

Capstone in Data Analysis and Interpretation

Course 5
8 hours
4.7 (47 ratings)

What you’ll learn

The capstone project will allow you to apply and refine the data analysis techniques learned in previous courses. You will use real-world data to complete a project with industry and academic partners.

Related products